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ORCIDBigData Conference 2021: Orlando, FL, USA
- Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 - Brandon Foggo, Nanpeng Yu
:
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. 7-16 - So Hirai, Kenji Yamanishi:
Detecting Gradual Structure Changes of Non-parametric Distributions via Kernel Complexity. 17-27 - Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal:
Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. 28-39 - Colin Stephen:
A Scalable Linear-Time Algorithm for Horizontal Visibility Graph Construction Over Long Sequences. 40-50 - Wesley Lin:
YOLO-Green: A Real-Time Classification and Object Detection Model Optimized for Waste Management. 51-57 - Peng Zhao, Guanyu Hu:
Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings. 58-64 - Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 65-75 - Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. 76-85 - Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. 86-97 - Qiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert B. Ross, Suren Byna:
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables. 98-108 - Kevin Kocon, Pascal Bormann:
Point cloud indexing using Big Data technologies. 109-119 - Nikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, Nectarios Koziris:
Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics. 120-130 - Md Hasanuzzaman Noor, Leonidas Fegaras:
Translation of Array-Based Graph Programs to Spark SQL on Block Arrays. 131-140 - Jian Wu, Shaurya Rohatgi, Sai Raghav Reddy Keesara, Jason Chhay, Kevin Kuo, Arjun Manoj Menon, Sean Parsons, Bhuvan Urgaonkar, C. Lee Giles:
Building an Accessible, Usable, Scalable, and Sustainable Service for Scholarly Big Data. 141-152 - Guoyi Zhao, Tian Zhou, Lixin Gao:
CM-GCN: A Distributed Framework for Graph Convolutional Networks using Cohesive Mini-batches. 153-163 - Andreas Grafberger, Mohak Chadha, Anshul Jindal, Jianfeng Gu, Michael Gerndt:
FedLess: Secure and Scalable Federated Learning Using Serverless Computing. 164-173 - Hiroshi Inoue:
Multi-step LRU: SIMD-based Cache Replacement for Lower Overhead and Higher Precision. 174-180 - Víctor Rampérez, Shima Zahmatkesh, Emanuele Della Valle:
Scaling the monitoring of approximate top-k queries in streaming windows. 181-189 - Henriette Röger, Sukanya Bhowmik, Tobias Linn:
A Framework for Decentralized Parallel Complex Event Processing on Heterogeneous Infrastructures. 190-196 - Yiming Bian, Arun K. Somani:
An Efficient Systematic Approach to Find All Cyclic Quorum Sets with All-pairs Property. 197-206 - George Constantinou, Cyrus Shahabi, Seon Ho Kim:
Placement of DNN Models on Mobile Edge Devices for Effective Video Analysis. 207-218 - Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios:
MultiBlock: A Scalable Iterative Approach for Progressive Entity Resolution. 219-228 - Abdullah al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs, Huikyo Lee, Daniel J. Crichton, Yimin Zhu, Chanachok Chokwitthaya, William J. Tolone, Isaac Cho:
A Visual Analytics Framework for Distributed Data Analysis Systems. 229-240 - Mohamed Ragab, Feras M. Awaysheh, Riccardo Tommasini:
Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. 241-251 - R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. 252-262 - Khoi Duy Vo, Sergej Zerr, Xiaofei Zhu, Wolfgang Nejdl:
Efficient Scalable Temporal Web Graph Store. 263-273 - Wenlu Wang, Chen Pan:
Collectively Learned Multi-level Spatial Embeddings for Residential Rental Price Prediction. 274-283 - Brian Wheatman, Randal C. Burns:
Streaming Sparse Graphs using Efficient Dynamic Sets. 284-294 - Huijuan Zhang, Lipeng Liang, Dongqing Wang:
Object Interaction Recommendation with Multi-Modal Attention-based Hierarchical Graph Neural Network. 295-305 - Albert Asratyan, Sina Sheikholeslami, Vladimir Vlassov:
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. 306-314 - Soumya Dutta, Humayra Tasnim, Terece L. Turton, James P. Ahrens:
In Situ Adaptive Spatio-Temporal Data Summarization. 315-321 - Robert J. Fitzgerald, Farnoush Banaei Kashani:
City-Scale System-Optimal Route Planning with Route Replanning. 322-327 - Chandrasekar Vuppalapati, Anitha Ilapakurti, Sandhya Vissapragada, Vanaja Mamidi, Sharat Kedari, Raja Vuppalapati, Santosh Kedari, Jaya Vuppalapati:
Application of Machine Learning and Government Finance Statistics for macroeconomic signal mining to analyze recessionary trends and score policy effectiveness. 327-3283 - Xiaoyun Fu, Rishabh Rajendra Bhatt, Samik Basu, Aduri Pavan:
Multi-Objective Submodular Optimization with Approximate Oracles and Influence Maximization. 328-334 - Nguyen Ho, Van Long Ho, Torben Bach Pedersen, Mai Vu:
Efficient and Distributed Temporal Pattern Mining. 335-343 - Quanliang Jing, Di Yao, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, Jingping Bi:
TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning. 344-349 - Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. 350-358 - Saptashwa Mitra, Daniel Rammer, Shrideep Pallickara, Sangmi Lee Pallickara:
Glance: A Generative Approach to Interactive Visualization of Voluminous Satellite Imagery. 359-367 - Hang Nguyen, Md. Yusuf Sarwar Uddin, Nalini Venkatasubramanian:
REAPS: Quasi-active Fault Tolerance for Big Data Publish-Subscribe Systems. 368-375 - Dai Hai Ton That, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik:
LDI: Learned Distribution Index for Column Stores. 376-387 - Sodiq Adewole, Philip Fernandez, James A. Jablonski, Andrew Copland, Michael D. Porter, Sana Syed, Donald E. Brown:
Graph Convolutional Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos. 388-399 - Zishi Deng, Torsten Suel:
Optimizing Iterative Algorithms for Social Network Sharding. 400-408 - Negin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, Shishir Kumar Prasad:
Tensor-based Complementary Product Recommendation. 409-415 - Kuan Feng, Yanmin Zhu, Jiadi Yu:
Non-Parallel Text Style Transfer using Self-Attentional Discriminator as Supervisor. 416-426 - Cheng Hsu, Cheng-Te Li, Diego Sáez-Trumper, Yi-Zhan Hsu:
WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia. 427-436 - Benedetta Iavarone, Anna Monreale:
From depression to suicidal discourse on Reddit. 437-445 - Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea:
Federated Meta-Location Learning for Fine-Grained Location Prediction. 446-456 - Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan:
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network. 457-468 - Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. 469-479 - Saurav Manchanda, Da Zheng, George Karypis:
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs. 480-489 - Ahmadreza Mosallanezhad, Kai Shu, Huan Liu:
Generating Topic-Preserving Synthetic News. 490-499 - Fuxin Ren, Zhongbao Zhang, Yang Yan, Zhi Wang, Sen Su, Philip S. Yu:
HAMLET: Hierarchical Attention-based Model with muLti-task sElf-Training for user profiling. 500-509 - Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. 510-518 - Xuan Shan, Chuanjie Liu, Yiqian Xia, Qi Chen, Yusi Zhang, Kaize Ding, Yaobo Liang, Angen Luo, Yuxiang Luo:
GLOW : Global Weighted Self-Attention Network for Web Search. 519-528 - Daniel Tschernutter, Stefan Feuerriegel:
A Latent Customer Flow Model for Interpretable Predictions of Check-In Counts. 529-539 - Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. 540-549 - Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger:
NeuralCubes: Deep Representations for Visual Data Exploration. 550-561 - Xianjun Yang, Xinlu Zhang, Julia Zuo, Stephen D. Wilson, Linda R. Petzold:
An Analysis of Relation Extraction within Sentences from Wet Lab Protocols. 562-570 - Tiantian Zhang, Xin Mao, Dejian Li, Meirong Ma, Hao Yuan, Jianchao Zhu, Man Lan:
Target-dependent Event Detection: A New Task to Event Extraction from News. 571-580 - Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. 581-589 - Ziqing Zhu, Jiuxin Cao, Tao Zhou, Huiyu Min, Bo Liu:
Understanding User Topic Preferences across Multiple Social Networks. 590-599 - Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia:
How Useful is Meta-Recommendation? An Empirical Investigation. 600-606 - Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. 607-613 - Takako Hashimoto, Takeaki Uno, Yuka Takedomi, David Lawrence Shepard, Masashi Toyoda, Naoki Yoshinaga, Masaru Kitsuregawa, Ryota Kobayashi:
Two-stage Clustering Method for Discovering People's Perceptions: A Case Study of the COVID-19 Vaccine from Twitter. 614-621 - Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui:
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability. 622-628 - Yikai Huang, Zhili Yao, Jianlin Feng:
P-QALSH: Parallelizing Query Aware Locality-Sensitive Hashing for Big Data. 629-634 - Bo Hui, Da Yan, Wei-Shinn Ku:
Node-Polysemy Aware Recommendation by Matrix Completion with Side Information. 636-642 - Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang:
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. 643-652 - Guanzhou Ke, Zhiyong Hong, Zhiqiang Zeng, Zeyi Liu, Yangjie Sun, Yannan Xie:
CONAN: Contrastive Fusion Networks for Multi-view Clustering. 653-660 - Prabin B. Lamichhane, William Eberle:
Anomaly Detection in Edge Streams Using Term Frequency-Inverse Graph Frequency (TF-IGF) Concept. 661-667 - Yichuan Li, Kyumin Lee, Nima Kordzadeh, Brenton D. Faber, Cameron Fiddes, Elaine Chen, Kai Shu:
Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection. 668-676 - Saurav Manchanda, Mohit Sharma, George Karypis:
Distant-Supervised Slot-Filling for E-Commerce Queries. 677-686 - Guanyi Mou, Kyumin Lee:
An Effective, Robust and Fairness-aware Hate Speech Detection Framework. 687-697 - Daniel Peralta, Lin Tang, Maxim Lippeveld, Yvan Saeys:
A study on the calibration of fingerprint classifiers. 698-704 - Raed Alharbi, Minh N. Vu, My T. Thai:
Learning Interpretation with Explainable Knowledge Distillation. 705-714 - Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. 715-724 - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. 725-734 - Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. 735-745 - Yu Huang, Chao Zhang, Jaswanth K. Yella, Sergei Petrov, Xiaoye Qian, Yufei Tang, Xingquan Zhu, Sthitie Bom:
GraSSNet: Graph Soft Sensing Neural Networks. 746-756 - Nushrat Humaira, Saber Sadeghi Tabas, S. Samadi, Nina C. Hubig:
FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline. 757-767 - Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci:
Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. 768-778 - Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. 779-789 - Aswin Kannan, Anamitra Roy Choudhury, Vaibhav Saxena, Saurabh Raje, Parikshit Ram, Ashish Verma, Yogish Sabharwal:
HyperASPO: Fusion of Model and Hyper Parameter Optimization for Multi-objective Machine Learning. 790-800 - Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos, Timothy Noah Hutson, Leon D. Iasemidis:
Gen2Out: Detecting and Ranking Generalized Anomalies. 801-811 - Sicong Liang, Chang Deng, Yu Zhang:
A Simple Approach to Balance Task Loss in Multi-Task Learning. 812-823 - Mingzhe Liu, Bowen Du, Leilei Sun:
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence. 824-833 - Guanxiong Liu, Issa Khalil, Abdallah Khreishah, NhatHai Phan:
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples. 834-846 - Yangdi Lu, Wenbo He:
MixNN: Combating Noisy Labels in Deep Learning by Mixing with Nearest Neighbors. 847-856 - Shohaib Mahmud, Haiying Shen, Ying Natasha Zhang Foutz, Joshua Anton:
A Human Mobility Data Driven Hybrid GNN+RNN Based Model For Epidemic Prediction. 857-866 - Hadi Mansourifar, Weidong Shi:
Cross-Concatenation: Tackling Uncertainty in Imbalanced Big Data Classification. 867-875 - Guanyi Mou, Yichuan Li, Kyumin Lee:
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification. 876-887 - Rameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni:
Feature Hashing with Insertion and Deletion of Features. 888-898 - Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang:
A Multimodal Misinformation Detector for COVID-19 Short Videos on TikTok. 899-908 - Xiajiong Shen, Kunying Meng, Daojun Han, Kai Zhai, Lei Zhang:
Weather radar echo prediction method based on recurrent convolutional neural network. 909-916 - Sanjana Srinivas, Mahima Agumbe Suresh:
Faster Depth Estimation for Situational Awareness on Urban Streets. 917-926 - Minh N. Vu, Truc D. T. Nguyen, NhatHai Phan, Ralucca Gera, My T. Thai:
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation. 927-937 - Lan Wang, Yusan Lin, Yuhang Wu, Huiyuan Chen, Fei Wang, Hao Yang:
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection. 938-947 - Huiyu Wu, Diego Klabjan:
Logit-based Uncertainty Measure in Classification. 948-956 - Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Human-like Explanation for Text Classification With Limited Attention Supervision. 957-967 - Zihan Zhou, Mingxuan Sun:
Multivariate Hawkes Processes for Incomplete Biased Data. 968-977 - Md. Adnan Arefeen, Sumaiya Tabassum Nimi, Md. Yusuf Sarwar Uddin, Yugyung Lee:
TransJury: Towards Explainable Transfer Learning through Selection of Layers from Deep Neural Networks. 978-984 - Petros T. Barbas, Aristidis G. Vrahatis, Sotiris K. Tasoulis:
RLAC: Random Line Approximation Clustering. 985-993 - Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). 994-1001 - Zhun Deng, Jiaoyang Huang, Kenji Kawaguchi:
How Shrinking Gradient Noise Helps the Performance of Neural Networks. 1002-1007 - Wenke Ding, Congcong Zhang, Gaofei Xie, Xiaojie Hu, Xiajiong Shen, Yatian Shen:
Graph Structure-Aware Bi-directional Graph Convolution Model for Semantic Role Labeling. 1008-1014 - Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang:
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. 1015-1022 - Erika Duriakova, Elias Z. Tragos, Aonghus Lawlor, Barry Smyth, Neil Hurley:
Boosting the Training Time of Weakly Coordinated Distributed Machine Learning. 1023-1029 - Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Graph Compression Networks. 1030-1036 - Haiyang He, Xiaolin Li, Zhihong Wang, Shiguo Huang:
ELR-Net: An Enhancement and Location-Refinement Network for Co-Saliency Detection. 1037-1044 - Alexander He, Thilanka Munasinghe:
Chronic Respiratory Disease: Risk Modeling Potential and Limitations. 1045-1053 - Dennis Huynh, Garrett Audet, Nikolay Alabi, Yuan Tian:
Stock Price Prediction Leveraging Reddit: The Role of Trust Filter and Sliding Window. 1054-1060 - Md. Majedul Islam, Avishek Das, Ibna Kowsar, A. K. M. Shahariar Azad Rabby, Nazmul Hasan, Fuad Rahman:
Towards building a Bangla text recognition solution with a Multi-Headed CNN architecture. 1061-1067 - Alexander F. Lapanowski, Irina Gaynanova:
Compressing large sample data for discriminant analysis. 1068-1076 - Hangyue Li, Xucheng Luo, Qinze Yu, Haoran Wang:
Session-based Recommendation via Contrastive Learning on Heterogeneous Graph. 1077-1082 - Yu Pan, Kwo-Sen Kuo, Michael L. Rilee, Hongfeng Yu:
Assessing Deep Neural Networks as Probability Estimators. 1083-1091 - Nikodimos Provatas, Ioannis Konstantinou, Nectarios Koziris:
Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? 1092-1101 - Wenting Qi, Charalampos Chelmis:
Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data. 1102-1108 - Taruna Seth, Vipin Chaudhary:
A Predictive Framework for Multi-Horizon Financial Crises Forecasting using Macro-Economic Data. 1109-1118 - Radwa El Shawi, Hudson Lekunze, Sherif Sakr:
cSmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Clustering. 1119-1126 - Liang-Wei Tao, An-Fong Hwu, Yu-Jen Huang, Chi-Chung Chen, Chao-Yuan Yeh, Shih-Hao Hung:
End-to-End Performance Optimization for Training Streaming Convolutional Neural Networks using Billion-Pixel Whole-Slide Images. 1127-1137 - Pei-Cheng Tu, Hsing-Kuo Pao:
A Dropout Style Model Augmentation for Cross Domain Few-Shot Learning. 1138-1147 - Xingyu Wang, Lida Zhang, Diego Klabjan:
Keyword-based Topic Modeling and Keyword Selection. 1148-1154 - Yue Zhang, Wanying Ding, Ran Xu, Xiaohua Hu:
Towards Explainable Visual Emotion Understanding. 1155-1162 - Xiaofeng Zhu, Diego Klabjan:
Continual Neural Network Model Retraining. 1163-1171 - Yifan Guo, Qianlong Wang, Tianxi Ji, Xufei Wang, Pan Li:
Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach. 1172-1182 - Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan:
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. 1183-1192 - Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher:
On Exploring Attention-based Explanation for Transformer Models in Text Classification. 1193-1203 - Edoardo Serra, Sujeet Ayyapureddi, Qudrat E. Alahy Ratul, Anna Cinzia Squicciarini:
A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization. 1204-1213 - Zhengming Zhang, Yaoqing Yang, Zhewei Yao, Yujun Yan, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney:
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models. 1214-1225 - Jack J. Amend, Albatool Wazzan, Richard Souvenir:
Evaluating Gender-Neutral Training Data for Automated Image Captioning. 1226-1235 - Steven Carrell, Amir Atapour Abarghouei:
Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking. 1236-1241 - Xiaolin Chen, Shuai Zhou, Bei Guan, Kai Yang, Hao Fao, Hu Wang, Yongji Wang:
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Vertical Federated Learning. 1242-1248 - Jasmine DeHart, Chenguang Xu, Christan Grant, Lisa Egede:
Proposing an Interactive Audit Pipeline for Visual Privacy Research. 1249-1255 - Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal:
Interpretable Explanations for Probabilistic Inference in Markov Logic. 1256-1264 - Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Johannes Klepsch, André Luckow, Florian Matthes:
Exploring privacy-enhancing technologies in the automotive value chain. 1265-1272 - Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Fairness-aware Bandit-based Recommendation. 1273-1278 - Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Dongeun Lee, Jinoh Kim:
Zero-day Malware Detection using Threshold-free Autoencoding Architecture. 1279-1284 - Ziyi Kou, Lanyu Shang, Huimin Zeng, Yang Zhang, Dong Wang:
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation. 1285-1290 - John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren:
Adversarial representation learning for synthetic replacement of private attributes. 1291-1299 - Cristina Menghini, Aris Anagnostopoulos, Eli Upfal:
How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics? 1300-1307 - Dinusha Vatsalan, Raghav Bhaskar, Aris Gkoulalas-Divanis, Dimitrios Karapiperis:
Privacy Preserving Text Data Encoding and Topic Modelling. 1308-1316 - Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar:
Efficient Huge Page Management with Xpage. 1317-1326 - Hiroto Akatsuka, Yasunori Kamata, Tomohiro Nagata, Naoko Komiya, Makoto Goto, Masayuki Terada:
Traffic Dispersion by Predicting Traffic Conditions based on Population Distribution. 1327-1336 - Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi:
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. 1337-1348 - Prem Bhusal, A. K. M. Mubashwir Alam, Keke Chen, Ning Jiang, Jun Xiao:
Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis. 1349-1358 - Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
Context Integrated Relational Spatio-Temporal Resource Forecasting. 1359-1368 - Shengyu Chen, Shervin Sammak, Peyman Givi, Joseph P. Yurko, Xiaowei Jia:
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks. 1369-1379 - Daixuan Cheng, Haifeng Sun, Qi Qi, Jingyu Wang, Yan Qi:
Parallel Decoders Guided Lexically Constrained Response Generation. 1380-1388 - Yun-Wei Chu, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach. 1389-1398 - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. 1399-1408 - Hangtao He, Kejiang Ye, Cheng-Zhong Xu:
Multi-feature Urban Traffic Prediction Based on Unconstrained Graph Attention Network. 1409-1417 - James Hicks, Thilanka Munasinghe:
Hidden Workforce: Analysis on Recognizing Unpaid Domestic Work Through Social Determinants. 1418-1426 - Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu:
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing. 1427-1437 - Chunyi Liu, Hao Feng, Jiang Xu, Zhiwei Tony Qin, Hongtu Zhu:
Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling. 1438-1448 - Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio:
CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain. 1449-1459 - Palla Likhitha, Pamalla Veena, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu:
Discovering Maximal Partial Periodic Patterns in Very Large Temporal Databases. 1460-1469 - Wei Rang, Donglin Yang, Zhimin Li, Dazhao Cheng:
Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications. 1470-1480 - Yuping Wang, Savvas Zannettou, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini:
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities. 1481-1492 - Zichao Wang, Mengxue Zhang, Richard G. Baraniuk, Andrew S. Lan:
Scientific Formula Retrieval via Tree Embeddings. 1493-1503 - Yiming Xu, Diego Klabjan:
Concept Drift and Covariate Shift Detection Ensemble with Lagged Labels. 1504-1513 - Da Yan, Shengbin Wu, Mirza Tanzim Sami, Abdullateef Ibrahim Almudaifer, Zhe Jiang, Haiquan Chen, D. Rangaprakash, Gopikrishna Deshpande, Yueen Ma:
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach. 1514-1522 - Daniel Yue Zhang, Jonathan J. Hüser, Yao Li, Sarah Campbell:
Language-Agnostic and Language-Aware Multilingual Natural Language Understanding for Large-Scale Intelligent Voice Assistant Application. 1523-1532 - Sarwan Ali, Murray Patterson:
Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. 1533-1540 - Nirupama Appiktala, SansWord Huang, Balachandar Sankar, Shweta Tripathi, Eyan Goldman:
Identifying Salient Entities of News Articles Using Binary Salient Classifier. 1541-1549 - Zinat Ara, Mahdi Hashemi:
Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies. 1550-1557 - Andy S. Berres, Brett C. Bass, Mark B. Adams, Eric Garrison, Joshua R. New:
A Data-Driven Approach to Nation-Scale Building Energy Modeling. 1558-1565 - Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. 1566-1574 - Lei Cao, Peng Xu, Wei Shang:
A text-based mining approach for real estate policy impact monitoring and analysis. 1575-1581 - Shaika Chowdhury, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Philip S. Yu:
MedTextSeg: A Deep Dual Sequential Model for Section Segmentation in Medical Reports. 1582-1588 - Huan Dai, Yupei Zhang, Yue Yun, Rui An, Xuequn Shang:
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space. 1589-1594 - Roxane Desrousseaux, Gilles Bernard, Jean-Jacques Mariage:
Predicting Financial Suspicious Activity Reports with Online Learning Methods*. 1595-1603 - Weiwei Duan, Yao-Yi Chiang, Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock:
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. 1604-1610 - A. Escobar, Debejyo Chakraborty, Jorge Arinez, Rubén Morales-Menéndez:
Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence. 1611-1618 - Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu:
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. 1619-1624 - Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. 1625-1632 - Guillaume Habault, Shinya Wada, Chihiro Ono:
Influence of Land Use information over performance when predicting spatiotemporal electricity load demand. 1633-1639 - Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi:
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. 1640-1646 - Ryo Kawahara, Mikio Takeuchi:
Cash flow prediction of a bank deposit using scalable graph analysis and machine learning. 1647-1656 - Yeo Jin Kim, Markel Sanz Ausin, Min Chi:
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. 1657-1663 - Dimitrios Klagkos, Vana Kalogeraki:
Evaluating Actions in Sports Analytics with Deep Learning. 1664-1669 - Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto:
Citywide reconstruction of cross-sectional traffic flow from moving camera videos. 1670-1678 - Dong Li, Haomin Yu, Yangli-ao Geng, Xiaobao Li, Qingyong Li:
DDGNet: A Dual-Stage Dynamic Spatio-Temporal Graph Network for PM2.5 Forecasting. 1679-1685 - Zhantong Liang, Abdou Youssef:
Deep Sentence Denoising beyond Grammatical Error Correction. 1686-1691 - Jinwei Liu, Long Cheng, Ankur Sarker, Li Yan, Richard A. Aló:
DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care. 1692-1698 - Vanja Ljevar, James Goulding, Gavin Smith, Alexa Spence:
Using Model Class Reliance to Measure Group Effects on Non-Adherence to Asthma Medication. 1699-1708 - Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung:
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. 1709-1717 - Juan Nathaniel, Baihua Zheng:
Context-Aware Graph Convolutional Network for Dynamic Origin-Destination Prediction. 1718-1724 - Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. 1725-1730 - Arun V. Sathanur, Arif M. Khan:
Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems. 1731-1738 - Toan V. Tran, Thanh-Nam Doan, Mina Sartipi:
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking. 1739-1747 - Zhiyuan Wu, Ning Liu, Guodong Li, Xinyu Liu, Yue Wang, Lin Zhang:
A Variational Bayesian Approach for Fast Adaptive Air Pollution Prediction. 1748-1756 - Peter Xenopoulos, Cláudio T. Silva:
Graph Neural Networks to Predict Sports Outcomes. 1757-1763 - Chujie Zheng, Kunpeng Zhang, Harry Jiannan Wang, Ling Fan, Zhe Wang:
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization. 1764-1771 - Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu:
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. 1772-1778 - Conrad M. Albrecht, Fernando J. Marianno, Levente J. Klein:
AutoGeoLabel: Automated Label Generation for Geospatial Machine Learning. 1779-1786 - Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. 1787-1796 - Haytham Assem, Rajdeep Sarkar, Sourav Dutta:
Qasar: Self-Supervised Learning Framework for Extractive Question Answering. 1797-1808 - Rathakrishnan Bhaskaran, Ramakrishnan Kannan, Brian Barr, Stephan Priebe:
Science-Guided Machine Learning for Wall-Modeled Large Eddy Simulation. 1809-1816 - Vibhati Burman, Rajesh Kumar Vashishtha, Srividhya Sethuraman, Ganesh Radhakrishnan, Prashanth Ganesan, Suresh Kumar V, Sharadha Ramanan:
Markdown Pricing For a Large Scale Retailer. 1817-1826 - Antoine Hébert, Ian Marineau, Gilles Gervais, Tristan Glatard, Brigitte Jaumard:
Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning? 1827-1836 - Takashi Isobe, Yoshihiro Okada:
Chemicals Informatics: Explore Structural Factors and Potential Chemicals based on Public Literatures. 1837-1846 - Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, Jianwu Wang:
Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. 1847-1857 - Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. 1858-1866 - Mayank Mishra, Archisman Bhowmick, Rekha Singhal:
FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline. 1867-1876 - Daisuke Moriwaki, Yuta Hayakawa, Akira Matsui, Yuta Saito, Isshu Munemasa, Masashi Shibata:
A Real-World Implementation of Unbiased Lift-based Bidding System. 1877-1888 - Raj Nath Patel, Edward Burgin, Haytham Assem, Sourav Dutta:
Efficient Multi-Lingual Sentence Classification Framework with Sentence Meta Encoders. 1889-1899 - Xiaoye Qian, Chao Zhang, Jaswanth K. Yella, Yu Huang, Ming-Chun Huang, Sthitie Bom:
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned. 1900-1908 - Sean Rooney, Luis Garcés-Erice, Daniel Bauer, Peter Urbanetz:
Pathfinder: Building the Enterprise Data Map. 1909-1919 - Siavash Samiei, Nasrin Baratalipour, Pranjul Yadav, Amitabha Roy, Dake He:
Addressing Stability in Classifier Explanations. 1920-1927 - Amir Yaghoubi Shahir, Tilemachos Charalampous, Mohammad A. Tayebi, Uwe Glässer, Hans Wehn:
TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns. 1928-1939 - Alex Shtoff, Yair Koren:
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models. 1940-1949 - Yohay Kaplan, Yair Koren, Rina Leibovits, Oren Somekh:
Dynamic Length Factorization Machines for CTR Prediction. 1950-1959 - Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin:
Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT. 1960-1963 - Anika Tabassum, Supriya Chinthavali, Sangkeun Lee, Nils M. Stenvig, Bill Kay, P. Teja Kuruganti, B. Aditya Prakash:
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. 1964-1973 - Lohit Vijayarenu, Zhenzhao Wang, Praveen Killamsetti, Tisha Emmanuel, Abhishek Jagannath, Lakshman Ganesh Rajamani, Joep Rottinghuis:
Twitter Sparrow : Reduce Event Pipeline latency from hours to seconds. 1974-1979 - Max Würfel, Qiwei Han, Maximilian Kaiser:
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach. 1980-1989 - Jaswanth K. Yella, Chao Zhang, Sergei Petrov, Yu Huang, Xiaoye Qian, Ali A. Minai, Sthitie Bom:
Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer. 1990-1998 - Chao Zhang, Jaswanth K. Yella, Yu Huang, Xiaoye Qian, Sergei Petrov, Andrey Rzhetsky, Sthitie Bom:
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word. 1999-2008 - Wei Zhang, Chris Challis:
Virtual-SRE For Monitoring Large Scale Time-series Data. 2009-2018 - Johannes Breitenbach, Tim Dauser, Hendrik Illenberger, Marius Traub, Ricardo Buettner:
A Systematic Literature Review on Machine Learning Approaches for Quality Monitoring and Control Systems for Welding Processes. 2019-2025 - Ramya Bygari, Aayush Gupta, Shashwat Raghuvanshi, Aakanksha Bapna, Birendra Sahu:
An AI-powered Smart Routing Solution for Payment Systems. 2026-2033 - Koustava Goswami, Sourav Dutta, Haytham Assem:
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. 2034-2039 - Miro Hodak, Ajay Dholakia:
Recent Efficiency Gains in Deep Learning: Performance, Power, and Sustainability. 2040-2045 - Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li:
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. 2046-2051 - Marios Vodas, Konstantina Bereta, Dimitris Kladis, Dimitris Zissis, Elias Alevizos, Emmanouil Ntoulias, Alexander Artikis, Antonios Deligiannakis, Antonios Kontaxakis, Nikos Giatrakos, David Arnu, Edwin Yaqub, Fabian Temme, Mate Torok, Ralf Klinkenberg:
Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. 2052-2057 - Hee-Sun Won, Minh Chau Nguyen, Myeong-Seon Gil, Yang-Sae Moon:
An Advanced Open Data Platform for Integrated Support of Data Management, Distribution, and Analysis. 2058-2063 - Huijun Wu, Xiaoyao Qian, Aleks Shulman, Kanishk Karanawat, Tushar Singh, Hulya Pamukcu Crowell, Prashil Bhimani, Chunxu Tang, Yao Li, Lu Zhang, Chris Ulherr:
Move Real-Time Data Analytics to the Cloud: A Case Study on Heron to Dataflow Migration. 2064-2067 - Aming Wu, Jangsoo Lee, Irshad Khan, Young-Woo Kwon:
CrowdQuake+: Data-driven Earthquake Early Warning via IoT and Deep Learning. 2068-2075 - Eelaaf Zahid, Yuya Jeremy Ong, Aly Megahed, Taiga Nakamura:
Predicting Loss Risks for B2B Tendering Processes. 2076-2083 - Rafer Cooley, Michael Cutshaw, Shaya Wolf, Rita Foster, Jed Haile, Mike Borowczak:
Comparing Ransomware using TLSH and @DisCo Analysis Frameworks. 2084-2091 - Allard Dijk:
Detection of Advanced Persistent Threats using Artificial Intelligence for Deep Packet Inspection. 2092-2097 - Tomás Komárek, Jan Brabec, Cenek Skarda, Petr Somol:
Threat Hunting as a Similarity Search Problem on Multi-positive and Unlabeled Data. 2098-2103 - Vasileios Mavroeidis, Pavel Eis, Martin Zádník, Marco Caselli, Bret Jordan:
On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence. 2104-2108 - Suha Reddy Mokalla, Thirimachos Bourlai:
Effects of Demographics and Photometric Normalization on Image Translation GANs for Cross-Spectral Face Recognition. 2109-2118 - Samuel Ndichu, Tao Ban, Takeshi Takahashi, Daisuke Inoue:
A Machine Learning Approach to Detection of Critical Alerts from Imbalanced Multi-Appliance Threat Alert Logs. 2119-2127 - Antonio José Horta Neto, Anderson Fernandes Pereira dos Santos, Marcos Dos Santos:
Polymer: An Adaptive Kill Chain Expanding Cyber Threat Hunting to Multi-Platform Environments. 2128-2135 - Kris Oosthoek, Christian Doerr:
Inside the Matrix: CTI Frameworks as Partial Abstractions of Complex Threats. 2136-2143 - Amendra Shrestha, Nazar Akrami, Lisa Kaati, Julia Kupper, Matthew R. Schumacher:
Words of Suicide: Identifying Suicidal Risk in Written Communications. 2144-2150 - Siddhant Shrivastava, M. R. Gauthama Raman, Aditya Mathur:
PCAT: PLC Command Analysis Tool for automatic incidence response in Water Treatment Plants. 2151-2159 - Michael R. Smith, Stephen J. Verzi, Nicholas T. Johnson, Xin Zhou, Kanad Khanna, Sophie Quynn, Raga Krishnakumar:
Malware Generation with Specific Behaviors to Improve Machine Learning-based Detection. 2160-2169 - Jon-Martin Storm, Janne Hagen, Øyvind Anders Arntzen Toftegaard:
A Survey of Using Process Data and Features of Industrial Control Systems in Intrusion Detection. 2170-2177 - Konstantinos Touloumis, Ariadni Michalitsi-Psarrou, Panagiotis Kapsalis, Anna Georgiadou, Dimitris Askounis:
Vulnerabilities Manager, a platform for linking vulnerability data sources. 2178-2184 - Anastasios Alexandridis, Ghassan Al-Sumaidaee, Rami Alkhudary, Zeljko Zilic:
Making Case for Using RAFT in Healthcare Through Hyperledger Fabric. 2185-2191 - Bruce Ambacher, Mark Conrad:
Computational Archival Science is a Two-Way Street. 2192-2199 - Lencia Beltran, Emily Ping O'Brien, Greg Jansen, Richard Marciano:
A Framework for Unlocking and Linking WWII Japanese American Incarceration Biographical Data. 2200-2209 - Marissa Friedman, Cameron Ford, Mary Elings, Vijay Singh, Tracey Tan:
Using AI/Machine Learning to Extract Data from Japanese American Confinement Records. 2210-2219 - Sam Grabus, Jane Greenberg:
Computational Curation and the Application of Large-Scale Vocabularies. 2220-2223 - Aravind Inbasekaran, Rajesh Kumar Gnanasekaran, Richard Marciano:
Using Transfer Learning to contextually Optimize Optical Character Recognition (OCR) output and perform new Feature Extraction on a digitized cultural and historical dataset. 2224-2230 - Eric Kaltman, Roger Lorelli, Adam Larson, Ethan Wolfe:
Organizing a Content Profile for a Large, Heterogeneous Collection of Interactive Projects. 2231-2239 - Shadrack Katuu:
Managing Records in Enterprise Resource Planning Systems. 2240-2245 - Ji-Ping Lin:
Computational Archives of Population Dynamics and Migration Networks as a Gateway to Get Deep Insights into Hard-to-reach Populations: Research on Taiwan Indigenous Peoples. 2246-2254 - Jennifer Proctor, Richard Marciano:
An AI-Assisted Framework for Rapid Conversion of Descriptive Photo Metadata into Linked Data. 2255-2261 - Dian Ross, Edmond Cretu, Victoria Lemieux:
NFTs: Tulip Mania or Digital Renaissance? 2262-2272 - Junehwan Sung, Shinsuke Mori, Hirotaka Kameko, Akira Kubo, Tatsuki Sekino:
Inference of Absolute Time Value from Temporal Expressions. 2273-2280 - Santhilata Kuppili Venkata, Stephanie Decker, David A. Kirsch, Adam Nix:
EMCODIST: A Context-based Search Tool for Email Archives. 2281-2290 - Timo Aho, Terhi Kilamo, Lucy Ellen Lwakatare, Tommi Mikkonen, Outi Sievi-Korte, Sezin Gizem Yaman:
Managing and Composing Teams in Data Science: An Empirical Study. 2291-2300 - Kerk F. Kee, Alex Olshansky, Shan Xu:
A Socio-Technical Framework for Measuring Organizational Capacity During Cyberinfrastructure Diffusion. 2301-2305 - Inna Kolyshkina, Simeon Simoff:
The CRISP-ML Approach to Handling Causality and Interpretability Issues in Machine Learning. 2306-2312 - Iñigo Martinez, Elisabeth Viles, Igor G. Olaizola:
A survey study of success factors in data science projects. 2313-2318 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
An Approach to Support Human-in-the-Loop Big Data Software Development Projects. 2319-2326 - Lex Poon, Siamak Farshidi, Na Li, Zhiming Zhao:
Unsupervised Anomaly Detection in Data Quality Control. 2327-2336 - Jeffrey S. Saltz:
CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps. 2337-2344 - Jeffrey S. Saltz, Alex Sutherland, Thibaut Jombart:
Identifying and Addressing 6 Key Questions when Using Data Driven Scrum. 2345-2352 - Meryem Uzun-Per, Ali Burak Can, Ahmet Volkan Gürel, Mehmet S. Aktas:
Big Data Testing Framework for Recommendation Systems in e-Science and e-Commerce Domains. 2353-2361 - Kugamoorthy Gajananan, Hirokuni Kitahara, Ruriko Kudo, Yuji Watanabe:
Scalable Runtime Integrity Protection for Helm Based Applications on Kubernetes Cluster. 2362-2371 - Damjan Gjurovski, Sebastian Michel:
Natural Joins for Schema-free Data. 2372-2380 - Esma Mouine, Yan Liu, Jincheng Sun, Mathieu Nayrolles, Mahzad Kalantari:
The Analysis of Time Series Forecasting on Resource Provision of Cloud-based Game Servers. 2381-2389 - Takuto Ogura, Yoshiki Akita, Yuki Miyazawa, Hideyuki Kawashima:
Accelerating Geo-Distributed Transaction Processing with Fast Logging. 2390-2399 - Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn, Alexandru Uta:
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark. 2400-2405 - Md Fahim, Swapna S. Gokhale:
Identifying Social Media Content Supporting Proud Boys. 2406-2414 - Saroj Gopali, Faranak Abri, Sima Siami-Namini, Akbar Siami Namin:
A Comparison of TCN and LSTM Models in Detecting Anomalies in Time Series Data. 2415-2420 - Zulfiqar Ali Khan, Akbar Siami Namin:
The Applications of Blockchains in Addressing the Integration and Security of IoT Systems: A Survey. 2421-2426 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
A Lifecycle for Engineering IoT Neural Network-based Systems. 2427-2433 - Sina Sontowski, Nigel Lawrence, Deepjyoti Deka, Maanak Gupta:
Detecting Anomalies using Overlapping Electrical Measurements in Smart Power Grids. 2434-2441 - Tasnim Ahmed, Mohsinul Kabir, Shahriar Ivan, Hasan Mahmud, Kamrul Hasan:
Am I Being Bullied on Social Media? An Ensemble Approach to Categorize Cyberbullying. 2442-2453 - Lin Ai, Anika Kathuria, Subhadarshi Panda, Arushi Sahai, Yuwen Yu, Sarah Ita Levitan, Julia Hirschberg:
Identifying the Popularity and Persuasiveness of Right- and Left-Leaning Group Videos on Social Media. 2454-2460 - Iuliia Alieva, Kathleen M. Carley:
Internet Trolls against Russian Opposition: A Case Study Analysis of Twitter Disinformation Campaigns against Alexei Navalny. 2461-2469 - Shankar Biradar, Sunil Saumya, Arun Chauhan:
Hate or Non-hate: Translation based hate speech identification in Code-Mixed Hinglish data set. 2470-2475 - Chien-Chih Chen, Yuxuan Du, Richards Peter, Wojciech M. Golab:
An Implementation of Fake News Prevention by Blockchain and Entropy-based Incentive Mechanism. 2476-2486 - Md Fahim, Swapna S. Gokhale:
Identifying Social Media Content Supporting Proud Boys. 2487-2495 - Daniel G. Kyrollos, James R. Green:
MetaHate: A Meta-Model for Hate Speech Detection. 2496-2502 - Saríah López-Fierro, Carlos Chiriboga-Calderón, Rubén Pacheco-Villamar:
If it looks, retweets and follows like a troll; Is it a troll?: Targeting the 2021 Ecuadorian Presidential Elections Trolls. 2503-2509 - Xin Pei, Deval Mehta:
Beyond a binary of (non)racist tweets: A four-dimensional categorical detection and analysis of racist and xenophobic opinions on Twitter in early Covid-19. 2510-2515 - Chao Chen, Claudia Peersman, Matthew Edwards, Ziauddin Ursani, Awais Rashid:
AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet. 2516-2524 - Hung-Yeh Lin, Teng-Sheng Moh, Bryce Westlake:
Gun Violence News Information Retrieval using BERT as Sequence Tagging Task. 2525-2531 - Todd Mason, Bing Zhou:
Digital Forensics Process of an Attack Vector in ICS environment. 2532-2541 - Viswajit Vinod Nair, Mark van Staalduinen, Dion T. Oosterman:
Template Clustering for the Foundational Analysis of the Dark Web. 2542-2549 - Nikita Saxena, Vinti Agarwal:
Learning to Detect: A Semi Supervised Multi-relational Graph Convolutional Network for Uncovering Key Actors on Hackforums. 2550-2559 - Andrii Shalaginov, Tor-Morten Grønli:
Securing Smart Future: Cyber Threats and Intelligent Means to Respond. 2560-2564 - Xinyi She, Yuji Sekiya:
A Convolutional Autoencoder Based Method with SMOTE for Cyber Intrusion Detection. 2565-2573 - Abiodun A. Solanke, Xihui Chen, Yunior Ramírez-Cruz:
Pattern Recognition and Reconstruction: Detecting Malicious Deletions in Textual Communications. 2574-2582 - Dane Troyer, Justin Henry, Hoda Maleki, Gokila Dorai, Bethany Sumner, Gagan Agrawal, Jon Ingram:
Privacy-Preserving Framework to Facilitate Shared Data Access for Wearable Devices. 2583-2592 - Matthew Higginbotham, Ethan Franks, Pratchi Roy, Jennifer Lavergne:
A Parallelized DynTARM Algorithm for the Discovery of Predictive Co-Occurrences Within Streaming Time Stamped Data. 2593-2602 - Blake A. Johns, Ryan G. Benton, Tom Johnsten, David M. Bourrie:
RARE: Rare Action Rule Exploration. 2603-2610 - Athanasios Tsitsipas, Pascal Schiessle, Lutz Schubert:
Scotty: Fast a priori Structure-based Extraction from Time Series. 2611-2620 - H.-H. Phan-Vu, Brigitte Jaumard, Tristan Glatard, Justin Whatley, Sylvain Nadeau:
A Scalable Multi-factor Fault Analysis Framework for Information Systems. 2621-2630 - Dominic Flocco, Bryce Palmer-Toy, Ruixiao Wang, Hongyu Zhu, Rishi Sonthalia, Junyuan Lin, Andrea L. Bertozzi, P. Jeffrey Brantingham:
An Analysis of COVID-19 Knowledge Graph Construction and Applications. 2631-2640 - Yurun Ge, Andrea L. Bertozzi:
Active Learning for the Subgraph Matching Problem. 2641-2649 - Alexander Modell, Jonathan Larson, Melissa Turcotte, Anna Bertiger:
A Graph Embedding Approach to User Behavior Anomaly Detection. 2650-2655 - Kang-Yu Ni, Jiejun Xu, Shane Roach, Tsai-Ching Lu, Alexei Kopylov:
Characterizing Disease Spreading via Visibility Graph Embedding. 2656-2661 - Sumit Purohit, Patrick Mackey, William Smith, Madelyn Dunning, Miquette J. Orren, Trevor M. Langlie-Miletich, Rahul D. Deshmukh, Ankur Bohra, Tonya J. Martin, Dan J. Aimone, George Chin:
Transactional Knowledge Graph Generation To Model Adversarial Activities. 2662-2671 - Sumit Purohit, Nhuy Van, George Chin:
Semantic Property Graph for Scalable Knowledge Graph Analytics. 2672-2677 - Thomas K. Tu:
A Constraint Propagation Approach for Identifying Biological Pathways in COVID-19 Knowledge Graphs. 2678-2684 - Dana Warmsley, Samuel D. Johnson:
Influence in Transient Populations. 2685-2690 - Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia:
Higher-order Structure Based Anomaly Detection on Attributed Networks. 2691-2700 - Qian Han, Derek Snaidauf:
Comparison of Deep Learning Technologies in Legal Document Classification. 2701-2704 - Yufeng Kou, Chris Knackstedt:
Constraint-based Hierarchical Clustering for Time Sequences. 2705-2711 - Wim De Mulder, Peggy Valcke:
The need for a numeric measure of explainability. 2712-2720 - Adam R. Pah, Christian J. Rozolis, David L. Schwartz, Charlotte S. Alexander, SCALES O. K. N. Consortium:
PRESIDE: A Judge Entity Recognition and Disambiguation Model for US District Court Records. 2721-2728 - Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. 2729-2733 - Haozhen Zhao, Fusheng Wei, Hilary Quatinetz, Han Qin, Adam Dabrowski:
Use Image Clustering to Facilitate Technology Assisted Review. 2734-2736 - Abinash Borah, Le Gruenwald, Eleazar Leal, Egawati Panjei:
A GPU Algorithm for Detecting Contextual Outliers in Multiple Concurrent Data Streams. 2737-2742 - Nidia Yadira Vaquera Chavez, Trilce Estrada:
PASCAL-G: a Probabilistic Stream Clustering Analysis on Graphs. 2743-2752 - Pietro Daverio, Hassan Nazeer Chaudhry, Alessandro Margara, Matteo Rossi:
Temporal Pattern Recognition in Graph Data Structures. 2753-2763 - Alessio Fino, Alessandro Margara, Gianpaolo Cugola, Marco Donadoni, Edoardo Morassutto:
RStream: Simple and Efficient Batch and Stream Processing at Scale. 2764-2774 - Maryam Shahcheraghi, Trevor Cappon, Samet Oymak, Evangelos E. Papalexakis, Eamonn J. Keogh, Zachary Zimmerman, Philip Brisk:
Matrix Profile Index Approximation for Streaming Time Series. 2775-2784 - Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard:
Reducing numerical precision preserves classification accuracy in Mondrian Forests. 2785-2790 - Hongryul Ahn, Inuk Jung, Heejoon Chae, Minsik Oh, Inyoung Kim, Sun Kim:
IDEA: Integrating Divisive and Ensemble-Agglomerate hierarchical clustering framework for arbitrary shape data. 2791-2800 - Zlatan Feric, Nicolas Bohm Agostini, Daniel Beene, Antonio J. Signes-Pastor, Yuliya Halchenko, Deborah Watkins, Debra MacKenzie, Margaret Karagas, Justin Manjourides, Akram Alshawabkeh, David R. Kaeli:
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization. 2801-2812 - Rebecca Leygonie, Guillaume Vimont:
Empirical analysis of the residual information needed for image classification. 2813-2817 - Alex Sartain, Mahmoud El-Haj:
The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 Pandemic. 2818-2827 - Ismael Villanueva-Miranda, Monika Akbar:
Integrating Heterogeneous Data for a Multi-disease Outbreak Detection Framework. 2828-2837 - Zhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen:
Generalization in Cardiac Image Segmentation. 2838-2847 - Hangu Yeo, Elahe Khorasani, Vadim Sheinin, Ngoc Phuoc An Vo, Octavian Popescu, Petros Zerfos:
Programmatic Database Language Generation for Big Data Applications. 2848-2856 - Hashim Abu-gellban, Yu Zhuang, Long Hoang Nguyen, Fang Jin, Zhenkai Zhang:
OnlineDC: Leveraging Temporal Driving Behavior to Facilitate Driver Classification. 2857-2866 - Sven van den Berghe:
A processing architecture for real-time predictive smart city digital twins. 2867-2874 - Johannes Breitenbach, Sara Haileselassie, Christoph Schuerger, Jonas Werner, Ricardo Buettner:
A Systematic Literature Review of Machine Learning Tools for Supporting Supply Chain Management in the Manufacturing Environment. 2875-2883 - Dakshak Keerthi Chandra, Jennifer L. Leopold, Yanjie Fu:
NodeSense2Vec: Spatiotemporal Context-Aware Network Embedding for Heterogeneous Urban Mobility Data. 2884-2893 - Aurora González-Vidal, Paula Gómez-Bernal, José Mendoza-Bernal, Antonio F. Skarmeta:
BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. 2894-2900 - Kodai Imanaka, Chiaki Sakama:
Predicting Air Ticket Demand using Deep Neural Networks. 2901-2908 - Ivens Portugal, Paulo Alencar, Donald D. Cowan:
Computational Analysis to Capture Cluster Lifetime Dynamics. 2909-2918 - Joseph D. Preece, Mohamed Samra, Richard J. Thomas, John M. Easton:
A Video Game-Inspired Approach for a Pedestrian Guidance System Within a Railway Station. 2919-2924 - Clara Buire, Geoffrey Scozzaro, Aude Marzuoli, Eric Feron, Daniel Delahaye:
A Year Into the Pandemic: a Passenger Perspective on its Impact at Paris-Charles de Gaulle Airport. 2925-2935 - Hiroki Tanaka, Takeshi Saga, Satoshi Nakamura:
Clustering of Human Movement Trajectories based on Distributional Representations Derived from Bi-directional LSTM Network with Geographical Coordinates. 2936-2940 - Sikder Tahsin Al-Amin, Carlos Ordonez:
Fast Machine Learning in Data Science with a Comprehensive Data Summarization. 2941-2948 - William F. Godoy, Andrei T. Savici, Steven E. Hahn, Peter F. Peterson:
Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities. 2949-2955 - Lucas Hayne, John P. Clyne, Shaomeng Li:
Using Neural Networks for Two Dimensional Scientific Data Compression. 2956-2965 - Juliana Hildebrandt, André Berthold, Dirk Habich, Wolfgang Lehner:
LCTL: Lightweight Compression Template Library. 2966-2975 - Sudhindra Gopal Krishna, Aditya Narasimhan, Sridhar Radhakrishnan, Richard Veras:
On Large-Scale Matrix-Matrix Multiplication On Compressed Structures. 2976-2985 - Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello:
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. 2986-2991 - Houjun Tang, Suren Byna, N. Anders Petersson, David McCallen:
Tuning Parallel Data Compression and I/O for Large-scale Earthquake Simulation. 2992-2997 - Izzettin Erdem, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas:
Test Script Generation Based on Hidden Markov Models Learning From User Browsing Behaviors. 2998-3005 - Hao Jiang, Peng Qi, Jingying Zhou, Jack Zhou, Sharath Rao:
A Short Survey on Forest Based Heterogeneous Treatment Effect Estimation Methods: Meta-learners and Specific Models. 3006-3012 - Prachi Agrawal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal:
Impact of Attention on Adversarial Robustness of Image Classification Models. 3013-3019 - Seyed Vahid Azhari, Simar Bhamra, Naser Ezzati-Jivan, François Tetreault:
Efficient heap monitoring tool for memory leak detection and root-cause analysis. 3020-3030 - Oceane Bel, Sinjoni Mukhopadhyay, Nathan R. Tallent, Faisal Nawab, Darrell D. E. Long:
WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling. 3031-3041 - Wanghu Chen, Meilin Zhou, Chenhan Zhai, Mengyang Shen, Pengbo Lv, Ali Arshad:
Anomaly detection of high-dimensional sparse data based on Ensemble Generative Adversarial Networks. 3042-3049 - Tejas Dubhir, Mayank Mishra, Rekha Singhal:
Benchmarking of Quantization Libraries in Popular Frameworks. 3050-3055 - Gabriel S. Ferrante, Felipe Maciel Rodrigues, Fernando R. H. Andrade, Rudinei Goularte, Rodolfo Ipolito Meneguette:
Understanding the state of the Art in Animal detection and classification using computer vision technologies. 3056-3065 - Issam Ghabri, Ladjel Bellatreche, Sadok Ben Yahia:
Energy Efficiency vs. Performance of Analytical Queries: The case of Bitmap Join Indexes. 3066-3074 - Catherine Inibhunu, Jennifer Yeung, Aaron Gates, Bradley Chicoine, Carolyn McGregor:
A Decoupled Data Pipeline and its Reliability Assessment: Case Study in Extreme Climatic Humans Studies. 3075-3084 - Andreas Krisilias, Nikodimos Provatas, Nectarios Koziris, Ioannis Konstantinou:
A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads. 3085-3094 - Edmon Begoli, Seung-Hwan Lim, Sudarshan Srinivasan:
Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments. 3095-3100 - Junwen Liu, Ziyun Xiao, Shiyong Lu, Dunren Che:
Deep-Learning-as-a-Workflow (DLaaW): An Innovative Approach to Enabling Deep Learning in Scientific Workflows. 3101-3106 - Akira Nukada:
Performance Optimization of Allreduce Operation for Multi-GPU Systems. 3107-3112 - Dominik Scheinert, Alireza Alamgiralem, Jonathan Bader, Jonathan Will, Thorsten Wittkopp, Lauritz Thamsen:
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. 3113-3118 - Phanwadee Sinthong, Michael J. Carey:
Exploratory Data Analysis with Database-backed Dataframes: A Case Study on Airbnb Data. 3119-3129 - Xin Wang, Pei Guo, Jianwu Wang:
Large-Scale Causality Discovery Analytics as a Service. 3130-3140 - Jonathan Will, Onur Arslan, Jonathan Bader, Dominik Scheinert, Lauritz Thamsen:
Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. 3141-3146 - Xiantian Zhou, Carlos Ordonez:
Programming Languages in Data Science: a Comparison from a Database Angle. 3147-3154 - Lu Cheng, Li Zhao:
Two-Stage Image Dehazing with Depth Information and Cross-Scale Non-Local Attention. 3155-3162 - Mengmeng Duan, Yan Wang, Lurui Jin, Yuan Wu:
SOF: A Synthetic Occluded Face Dataset. 3163-3169 - Mengmeng Duan, Haoyue Qiu, Zimo Zhang, Yuan Wu:
NTU-DensePose: A New Benchmark for Dense Pose Action Recognition. 3170-3175 - Yiqing Fan, Chaoqun Hong, Xiaodong Wang, Zhiqiang Zeng, Zetian Guo:
Multi-input-output Fusion Attention Module for Deblurring Networks. 3176-3182 - Zetian Guo, Chaoqun Hong, Weiwei Zhuang, Keshou Wu, Yiqing Fan:
CPQN: Central Product Quantization Network for Semi-supervised Image Retrieval. 3183-3190 - Yangsheng Lin, Kai Yan, Xiangcheng Du, Yining Lin, Yao Peng:
Unsupervised Learning Boost Person Re-identification and Real World Application. 3191-3196 - Zihang Liu, Ejian Zhou, Shuwen Yang, Zisong Zhuang, Tianlong Ma:
The anomaly segmentation via dynamic branch fusion. 3197-3202 - Bingyu Tang, Chao Jin, Dongliang Zhang, Quanshi Zheng:
MOtion Human Parsing: A New Benchmark for 3D Human Parsing. 3203-3208 - Zhongce Wang, Chao Jin, Lingzhang Sun, Yunfan Li:
WRDI: A Multimodal Dataset of mmWave Radar Data and Image. 3209-3214 - Huifen Zhou, Chaoqun Hong, Yong Han, Pengcheng Huang, Yanhui Zhuang:
MH Pose: 3D Human Pose Estimation based on High-quality Heatmap. 3215-3222 - Yanhui Zhuang, Chaoqun Hong, Xuebai Zhang, Chaohui Tang, Huifen Zhou:
FESTH: Visual Tracking with Feature Enhancement and Space-time History Frame Networks. 3223-3230 - Cuiling Zhu, Jiucun Yuan, Chengwei Yang:
Prediction of Adult Chronic Kidney Disease with Class-Imbalanced Datasets. 3231-3238 - Yaoyao Fan, Xingfen Wang, Yahui Liu, Zhulu Xu:
Research on Quality Prediction of Typical Workpieces Based on Feature Recombination and XGBoost Algorithm. 3239-3245 - Lin Huo, Weijia Jin:
How Does Movie Production Determine Box Office? Tests of Mediation and Moderation Effects. 3246-3253 - Yang-Guang Li, Mu-Ran Yu, Lu-Xi Li, Han Han, Ying Liu:
Risk identification and default time analysis of corporate bonds. 3254-3258 - Li Li, Yiming Yuan, Fang Liu, Jianjun Wang:
Predicting the next stage of China's household sustainable energy consumption research based on a comparative knowledge graph analysis between China and foreign countries. 3259-3266 - Urjitkumar Patel, Lisa Kim, Antony Papadimitriou:
Financial Forecasting with Clustering Guided Modeling. 3267-3273 - Zhang Wenjing, Zhao Gang:
Temporal and Spatial Attention Network Model Based Evolution Model for Bulk Commodity Price Fluctuation Risk. 3284-3289 - Soham Dasgupta, Aritran Piplai, Priyanka Ranade, Anupam Joshi:
Cybersecurity Knowledge Graph Improvement with Graph Neural Networks. 3290-3297 - Sophia F. Frankel, Krishnendu Ghosh:
Machine Learning Approaches for Authorship Attribution using Source Code Stylometry. 3298-3304 - Jan Gross, Johannes Breitenbach, Waldemar Granson, Daniel Japs, Ardi Reci, Aaron Koengeter, Ricardo Buettner:
A Systematic Literature Review of Data Privacy Solutions for Smart Meter Technologies. 3305-3310 - Dan C. Lo, Hossain Shahriar, Kai Qian, Michael E. Whitman, Fan Wu:
Colab Cloud Based Portable and Shareable Hands-on Labware for Machine Learning to Cybersecurity. 3311-3315 - Shaswata Mitra, Aritran Piplai, Sudip Mittal, Anupam Joshi:
Combating Fake Cyber Threat Intelligence using Provenance in Cybersecurity Knowledge Graphs. 3316-3323 - Laylon Mokry, Paul Slife, Patrick Bishop, Jose Quiroz, Cooper Guzzi, Zhiyuan Chen, Adina Crainiceanu, Don Needham:
Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy. 3324-3333 - Priyanka Ranade, Aritran Piplai, Anupam Joshi, Tim Finin:
CyBERT: Contextualized Embeddings for the Cybersecurity Domain. 3334-3342 - Madeleine Schneider, David Aspinall, Nathaniel D. Bastian:
Evaluating Model Robustness to Adversarial Samples in Network Intrusion Detection. 3343-3352 - Marvin Schneider, Shawon Rahman:
Identifying Protection Motivation Theory Factors that Influence Smartphone Security Measures. 3353-3359 - Marcos Rogério Silveira, Leandro Marcos da Silva, Adriano Mauro Cansian, Hugo Koji Kobayashi:
Detection of Newly Registered Malicious Domains through Passive DNS. 3360-3369 - A. K. Singh, Navneet Goyal:
Detection of Malicious Webpages Using Deep Learning. 3370-3379 - Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha:
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning. 3380-3389 - Mary Adkisson, Jeffrey C. Kimmell, Maanak Gupta, Mahmoud Abdelsalam:
Autoencoder-based Anomaly Detection in Smart Farming Ecosystem. 3390-3399 - Bikram Pratim Bhuyan, Ravi Tomar, Maanak Gupta, Amar Ramdane-Cherif:
An Ontological Knowledge Representation for Smart Agriculture. 3400-3406 - Asanee Kawtrakul, Hutchatai Chanlekha, Kitsana Waiyamai, Thanapat Kangkachit, Laurent d'Orazio, Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos:
Towards Data-and-Innovation Driven Sustainable and Productive Agriculture: BIO-AGRI-WATCH as a Use Case Study. 3407-3415 - Kendall Land, Ambareen Siraj:
Blockchain Based Farm-to-Fork Supply Chain Tracking. 3416-3425 - Oratile Leteane, Yirsaw Ayalew, Tshiamo Motshegwa:
A systematic review of traceability issues in beef supply chain management. 3426-3435 - Vung Pham, David C. Weindorf, Tommy Dang:
RDNet: Deep Learning Model for Predicting pH H20 and pHKCl from Soil Vis-NIR Spectra. 3436-3445 - Akinori Abe, Kotaro Fukushima:
How can we collect satisfactory answers in art appreciation experiment? 3446-3455 - Koki Arai:
Data Distribution and Competition Law Issues. 3456-3460 - Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima:
The Impact of Decentralized Identity Architecture on Data Exchange. 3461-3465 - Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima:
Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset. 3466-3471 - Noriyuki Kushiro, Yusuke Ogata:
Supporting Test Case Design on Reasoning Scheme with Natural Language Processing Technique. 3472-3479 - Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima, Kiyoshi Izumi:
Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. 3480-3485 - Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu:
Market Trend Analysis Using Polarity Index Generated from Analyst Reports. 3486-3494 - Naoki Watanabe:
A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids. 3495-3499 - Ryusei Arisawa, Panote Siriaraya, Da Li, Kazutoshi Sumiya, Yukiko Kawai, Shinsuke Nakajima:
A Rival Recommendation Approach for Acoustic AR Running Support System Considering the Athletic Ability of Users. 3500-3502 - Yuhao Chen, Farhana H. Zulkernine:
BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering. 3503-3510 - Catherine Inibhunu, Carolyn McGregor, James Edward Pugh:
An Alert Notification Subsystem for AI Based Clinical Decision Support: A Protoype in NICU. 3511-3518 - Munenari Inoguchi:
Development of Prototype System to Generate Chronological Response Scenario Dataset by Assembling Multi-responders' Action Logs at Past Disaster. 3519-3521 - Shotaro Ishihara, Yuta Matsuda, Norihiko Sawa:
Editors-in-the-loop News Article Summarization Framework with Sentence Selection and Compression. 3522-3524 - Yuya Itoh, Shigeo Matsubara:
Adaptive Budget Allocation for Cooperative Task Solving in Crowdsourcing. 3525-3533 - Rina Kagawa, Yukino Baba, Hideo Tsurushima:
A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. 3534-3543 - Kanta Negishi, Hiroyoshi Ito, Masaki Matsubara, Atsuyuki Morishima:
A Skill-based Worksharing Approach for Microtask Assignment. 3544-3547 - Thais Rodrigues Neubauer, Glaucia Pamponet Sobrinho, Marcelo Fantinato, Sarajane Marques Peres:
Visualization for enabling human-in-the-loop in trace clustering-based process mining tasks. 3548-3556 - Naofumi Osawa, Hiroyoshi Ito, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima:
BUBBLE : A Quality-Aware Human-in-the-loop Entity Matching Framework. 3557-3565 - Hisatoshi Toriya, Ashraf M. Dewan, Itaru Kitahara:
A Method to Correct Perspective Distortion of Ground Area without Camera Parameters. 3566-3567 - Ayato Watanabe, Keishi Tajima:
Spammer Detection Based on Task Completion Time Variation in Crowdsourcing. 3568-3570 - Yunchong Zhang, Baisong Liu, Jiangbo Qian, Jiangcheng Qin, Xueyuan Zhang, Xueyong Jiang:
An Explainable Person-Job Fit Model Incorporating Structured Information. 3571-3579 - Ying Zhong, Masaki Kobayashi, Masaki Matsubara, Atsuyuki Morishima:
Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information. 3580-3583 - Jan David Hüwel, Fabian Berns, Christian Beecks:
Automated Kernel Search for Gaussian Processes on Data Streams. 3584-3588 - Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu:
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. 3589-3594 - Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Context-Aware Data Analytics Variability in IoT Neural Network-Based Systems. 3595-3600 - Do Van Nguyen, Koji Zettsu:
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. 3601-3608 - Syed Jawad Hussain Shah, Ahmed Awad Albishri, Yugyung Lee:
Deep Learning Framework For Internet Of Things For People With Disabilities. 3609-3614 - Andrew Walker, Daisuke Maeda, Joydeep Acharya:
Lightweight video analytics for cycle time detection in manufacturing. 3615-3618 - Joshua Aaron DeNio, Simone A. Ludwig:
Improving Transaction Speed and Scalability in Blockchain Systems. 3619-3628 - Yuye Han, Hong Chen, Zhijie Qiu, Lei Luo, Gongbin Qian:
A Complete Privacy-Preserving Credit Score System Using Blockchain and Zero Knowledge Proof. 3629-3636 - Yaoguang Huo, Junfeng Ma, Hui Li, Xin Yang, Han Wang, Xiangzhen Meng:
Optimal Copyset in Distributed Object Storage. 3637-3645 - Erico Correia Da Silva, Liria Matsumoto Sato, Edson Toshimi Midorikawa:
Distributed file system for rewriting Big Data files using a local-write protocol. 3646-3655 - Zixian Wang, Hui Li, Han Wang, Zhenwei Xiao, Ping Lu, Zhenyuan Yang, Minglong Zhang, Peter Han Joo Chong:
A Data Lightweight Scheme for Parallel Proof of Vote Consensus. 3656-3662 - Sheila Alemany, Jason Nucciarone, Niki Pissinou:
Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis. 3663-3670 - Katerina B. Antypas, Deborah Bard, Johannes P. Blaschke, Shane Richard Canon, Bjoern Enders, Mallikarjun Arjun Shankar, Suhas Somnath, Dale Stansberry, Thomas D. Uram, Sean R. Wilkinson:
Enabling discovery data science through cross-facility workflows. 3671-3680 - António Correia, Benjamim Fonseca, Hugo Paredes, Ramon Chaves, Daniel Schneider, Shoaib Jameel:
Determinants and Predictors of Intentionality and Perceived Reliability in Human-AI Interaction as a Means for Innovative Scientific Discovery. 3681-3684 - Bill Kay, Hao Lu, Pravallika Devineni, Anika Tabassum, Supriya Chinthavali, Sangkeun Matt Lee:
Identification of Critical Infrastructure via PageRank. 3685-3690 - Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Traffic Study of Shared Micromobility Services by Transportation Simulation. 3691-3699 - Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. 3700-3704 - Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia:
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. 3705-3708 - Kara Schatz, Cleber C. Melo-Filho, Alexander Tropsha, Rada Chirkova:
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. 3709-3716 - Xintong Zhao, Jane Greenberg, Yuan An, Xiaohua Tony Hu:
Fine-Tuning BERT Model for Materials Named Entity Recognition. 3717-3720 - Louai Alarabi, Saleh M. Basalamah, Mohammed Abdalla, Abdeltawab M. Hendawi:
A Holistic Spatial Platform For Managing Infectious Diseases, Case Study on COVID-19 Pandemic. 3721-3730 - Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence:
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. 3731-3739 - Peter Baumann:
Towards a Model-Driven Datacube Analytics Language. 3740-3746 - Sandro Bimonte, Élodie Edoh-Alove, Fagnine Alassane Coulibaly:
Map4OLAP: A web-based tool for interactive map visualization of OLAP queries. 3747-3750 - Ryoma Kondo, Bojian Du, Yoshiaki Narusue, Hiroyuki Morikawa:
Prioritized Sampling on Knowledge Distillation for Nowcasting Pluvial Flood Prediction. 3751-3754 - Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto:
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. 3755-3759 - Shirish Patel, Philip J. Rhodes:
Decentralized Storage for Scientific Data. 3760-3769 - Menuka Warushavithana, Saptashwa Mitra, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Containerization of Model Fitting Workloads over Spatial Datasets. 3770-3779 - Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. 3780-3783 - Divya Banesh, Natalie Klein, Steven Morley, Ayan Biswas, Vania Jordanova, Michael Henderson, Earl Lawrence:
Topological Segmentation and Tracking for Space Weather Modeling. 3784-3788 - Nithin Chalapathi, Youjia Zhou, Bei Wang:
Adaptive Covers for Mapper Graphs Using Information Criteria. 3789-3800 - David B. Damiano, Anbo Wu:
Topological Data Analysis in an Economic Context: Property Tax Maps. 3801-3811 - Thomas Gebhart, Xiaojun Fu, Russell J. Funk:
Go with the Flow? A Large-Scale Analysis of Health Care Delivery Networks in the United States Using Hodge Theory. 3812-3823 - Teresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa Bui, Bea Bleile, Vanessa Robins:
The Impact of Changes in Resolution on the Persistent Homology of Images. 3824-3834 - Milad Kiaee, Adam B. Kashlak, Jisu Kim, Giseon Heo, Prachi Loliencar:
Diagnosis of Pediatric Obstructive Sleep Apnea via Face Shape Analysis. 3835-3840 - Hengrui Luo, Justin D. Strait:
Combining Geometric and Topological Information for Boundary Estimation. 3841-3852 - Hengrui Luo, Jisu Kim, Alice Patania, Mikael Vejdemo-Johansson:
Topological Learning for Motion Data via Mixed Coordinates. 3853-3859 - Rishi R. Verma, Nicholas O. Malott, Philip A. Wilsey:
Data Reduction and Feature Isolation for Computing Persistent Homology on High Dimensional Data. 3860-3864 - Matthew Wheeler, Jose Bouza, Peter Bubenik:
Activation Landscapes as a Topological Summary of Neural Network Performance. 3865-3870 - Fouad Alkhoury, Dennis Wegener, Karl-Heinz Sylla, Michael Mock:
Communication efficient distributed learning of neural networks in Big Data environments using Spark. 3871-3877 - Carlos Garcia-Alvarado:
Coxswain: Guided Data Analytics. 3878-3882 - Hamed Khorasgani, Haiyan Wang, Hsiu-Khuern Tang, Chetan Gupta:
K-nearest Multi-agent Deep Reinforcement Learning for Collaborative Tasks with a Variable Number of Agents. 3883-3889 - Maria Cristina Vale Tavares, Nathalia Moraes do Nascimento, Paulo Alencar, Donald D. Cowan:
Towards Automated Variability-Aware Machine-Learning-Based Modeling Analysis. 3890-3896 - Dennis Flathau, Johannes Breitenbach, Hermann Baumgartl, Ricardo Buettner:
Early Detection of Alcohol Use Disorder Based on a Novel Machine Learning Approach Using EEG Data. 3897-3904 - Kimberly Glock, Charlie Napier, Todd Gary, Vibhuti Gupta, Joseph Gigante, William Schaffner, Qingguo Wang:
Measles Rash Identification Using Transfer Learning and Deep Convolutional Neural Networks. 3905-3910 - Cong Liu, Dengwang Li, Pu Huang:
ISE-YOLO: Improved Squeeze-and-Excitation Attention Module based YOLO for Blood Cells Detection. 3911-3916 - Alexandru-Ion Marinescu, Horea-Bogdan Muresan, Alina Delia Calin, Adriana Mihaela Coroiu, Maria Talla:
FREIDA - Fracture Risk Evaluation using Highly Efficient Information Retrieval and Analysis of Large Healthcare Datasets. 3917-3922 - Simone Monaco, Nicole Bussola, Sara Buttò, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola:
Cyst segmentation on kidney tubules by means of U-Net deep-learning models. 3923-3926 - Wenbin Wu, Kai Niu, Zhiqiang He:
R2Net: Recurrent Recalibration Network for Medical Image Segmentation. 3927-3935 - Xian Zhang, Ziyuan Feng, Tianchi Zhong, Sicheng Shen, Ruolin Zhang, Lijie Zhou, Bo Zhang, Wendong Wang:
DRA U-Net: An Attention based U-Net Framework for 2D Medical Image Segmentation. 3936-3942 - Fan Zhang, Bo Zhang, Zheng Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang:
MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation. 3943-3949 - Amir Atapour-Abarghouei, Stephen Bonner, Andrew Stephen McGough:
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing. 3950-3959 - Ciara Blackledge, Amir Atapour-Abarghouei:
Transforming Fake News: Robust Generalisable News Classification Using Transformers. 3960-3968 - Ricardo Buettner, Daniel Sauter, Jonas Klopfer, Johannes Breitenbach, Hermann Baumgartl:
A Review of Recent Advances in Machine Learning Approaches for Cyber Defense. 3969-3974 - Jack Stelling, Amir Atapour-Abarghouei:
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving. 3975-3984 - Cahyadi, Matthew Forshaw:
Hard Disk Failure Prediction on Highly Imbalanced Data using LSTM Network. 3985-3991 - Samuel A. Ajila, Karthik Dilliraj:
Forecasting Air Pollution using a Modified Compositional Learning Approach. 3992-4001 - Wanghu Chen, Yan Sun, Jing Li, Chenhan Zhai, Pengbo Lv, Shengfang Jin:
Spatio-temporal Clustering based on HHT and Its Applications in Thermal Boiler Controlling. 4002-4010 - Ryan Curry, Cameron Trotter, A. Stephen McGough:
Application of deep learning to camera trap data for ecologists in planning / engineering - Can captivity imagery train a model which generalises to the wild? 4011-4020 - Sheheeda Manakkadu, Srijan Prasad Joshi, Tom Halverson, Sourav Dutta:
Top-k User-Based Collaborative Recommendation System Using MapReduce. 4021-4025 - Genevieve Moat, Shirley Coleman:
Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management. 4026-4034 - Diego Moya, Sara Giarola, Adam Hawkes:
Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwide. 4035-4046 - Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana:
Multi Scale Graph Wavenet for Wind Speed Forecasting. 4047-4053 - Srini Bhagavan, Mohamed Gharibi, Praveen Rao:
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain. 4054-4063 - Jingwei Gan, Shinan Zhang, Chi Zhang, Andy Li:
Automated Counterfactual Generation in Financial Model Risk Management. 4064-4068 - Arunim Garg, David W. Savage, Salimur Choudhury, Vijay Mago:
Predicting family physicians based on their practice using machine learning. 4069-4077 - Mohamed Gharibi, Srini Bhagavan, Praveen Rao:
FederatedTree: A Secure Serverless Algorithm for Federated Learning to Reduce Data Leakage. 4078-4083 - Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam:
Asset Modeling using Serverless Computing. 4084-4090 - Fearghal O'Donncha, Albert Akhriev, Bradley Eck, Meredith Burke, Ramón Filgueira, Jon Grant:
Deployment and Management of Time Series Forecasts in Ocean Industry. 4091-4096 - Pranav Sankhe, Elham Khabiri, Bhavna Agrawal, Yingjie Li:
TableNN: Deep Learning Framework for Learning Domain Specific Tabular Data. 4097-4102 - Valerio Bellandi, Paolo Ceravolo, Samira Maghool, Margherita Pindaro, Stefano Siccardi:
Correlation and pattern detection in event networks. 4103-4112 - Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen:
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. 4113-4118 - Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Event-based Product Carousel Recommendation with Query-Click Graph. 4119-4125 - Gunjan Mahindre, Rasika Karkare, Randy C. Paffenroth, Anura P. Jayasumana:
A Pre-training Oracle for Predicting Distances in Social Networks. 4126-4135 - Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Esra Akbas:
Drug Abuse Detection in Twitter-sphere: Graph-Based Approach. 4136-4145 - Saigopal Thota, Mridul Jain, Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla:
Building Graphs at a Large Scale: Union Find Shuffle. 4146-4152 - Brendan Donnelly, Thilanka Munasinghe:
Binary Classification Edge Cases in Cyclones Using AlexNet and ResNet Neural Networks. 4153-4155 - Ethan Joseph, Thilanka Munasinghe, Heidi Tubbs, Bhaskar Bishnoi, Assaf Anyamba:
Scraping Unstructured Data to Explore the Relationship between Rainfall Anomalies and Vector-Borne Disease Outbreaks. 4156-4164 - Sharmad Joshi, Jessie Ann Owens, Shlok Shah, Thilanka Munasinghe:
Analysis of Preprocessing Techniques, Keras Tuner, and Transfer Learning on Cloud Street image data. 4165-4168 - Pooya Khorrami, Olga Simek, Brian Cheung, Mark Veillette, Rumen Dangovski, Ileana Rugina, Marin Soljacic, Pulkit Agrawal:
Adapting Deep Learning Models to New Meteorological Contexts Using Transfer Learning. 4169-4177 - Ryan Laube, Howard J. Hamilton:
Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. 4178-4182 - Greg Murray, Thirimachos Bourlai, Max Spolaor:
Mask R-CNN: Detection Performance on SPEED Spacecraft With Image Degradation. 4183-4190 - Joachim Nyborg, Ira Assent:
Weakly-Supervised Cloud Detection with Fixed-Point GANs. 4191-4198 - Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar:
Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events. 4199-4207 - Gregory Saini, Thilanka Munasinghe, Kevin Pan:
Image Classification to identify Transverse Cirrus Band Clouds using Convolutional Neural Networks. 4208-4210 - Argho Sarkar, Maryam Rahnemoonfar:
UAV-VQG: Visual Question Generation Framework on UAV Images. 4211-4219 - Zhaohui Wang:
Entropy Analysis for Clustering Based Lossless Compression of Remotely Sensed Images. 4220-4223 - Valentina Agostini:
Clinical gait analysis: a gender medicine perspective. 4224-4226 - Giuseppe Attanasio, Salvatore Greco, Moreno La Quatra, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus:
E-MIMIC: Empowering Multilingual Inclusive Communication. 4227-4234 - Paolo Bethaz, Khalid Belhajjame, Genoveva Vargas-Solar, Tania Cerquitelli:
DS4ALL: All you need for democratizing data exploration and analysis. 4235-4242 - Federico Caviggioli, Alessandra Colombelli, Chiara Ravetti:
Star inventors and gender gaps in patented innovations. 4243-4250 - Ishani Chakraborty:
Bayesian model for Fairness in sampling from clustered data and FP-FN error rates. 4251-4259 - Alessandra Colombelli, Anna D'Ambrosio, Chiara Ravetti:
Green innovative start-ups and gender shares. 4260-4264 - Eduardo Cruz, Carmen Vaca, Mónica Villavicencio:
Estimating urban socioeconomic inequalities through airtime top-up transactions data. 4265-4272 - Justine Fouillé, Thi Lan Huong Nguyen, Baptiste Alix, Brett Becker, Matthieu Rochard, Hélène de Ribaupierre, Laurent d'Orazio:
ASSIST: Article eXtraction and statIstical AnalysiS. 4273-4276 - Olugbenga Iyiola, Monika Akbar:
Demographic Data-driven Deprivation Index for Predicting Chronic Diseases. 4277-4286 - Mariachiara Mecati, Antonio Vetrò, Marco Torchiano:
Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. 4287-4296 - Nishit Patel, David Cancel, Moitrayee Chatterjee, Md Shahinoor Rahman:
Covid-19 digital Contact-tracing: a doorway to well-being or a backdoor to security vulnerabilities? 4297-4302 - J. David Patón-Romero, Letizia Jaccheri:
hUGe2: An Interdisciplinary Research Program for Sustainability. 4303-4306 - Steve Aibuedefe Aigbe, Christoph F. Eick:
Learning Domain-Specific Word Embeddings from COVID-19 Tweets. 4307-4312 - Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu:
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. 4313-4322 - Colin Berry:
Compliance with Stay-at-Home Orders During COVID-19. 4323-4326 - Philippe Büdinger, Tor-Morten Grønli:
Unsupervised data mining on spatial-temporal passenger mobility and survey data during Covid-19. 4327-4332 - Serena H. Chen, M. Todd Young, John Gounley, Christopher B. Stanley, Debsindhu Bhowmik:
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets. 4333-4341 - Mehrdad Fazli, Samuel Sklar, Michael D. Porter, Brent A. French, Heman Shakeri:
Wastewater-Based Epidemiological Modeling for Continuous Surveillance of COVID-19 Outbreak. 4342-4349 - Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz:
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. 4350-4355 - Abhirup Ghosh, Tong Xia:
Mobility-based Individual POI Recommendation to Control the COVID-19 Spread. 4356-4364 - Arvin Hekmati, Bhaskar Krishnamachari, Maja J. Mataric:
Course Scheduling to Minimize Student Wait Times For University Buildings During Epidemics. 4365-4370 - Niloofar Kalantari, Duoduo Liao, Vivian Genaro Motti:
Characterizing the Online Discourse in Twitter: Users' Reaction to Misinformation around COVID-19 in Twitter. 4371-4380 - Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok:
Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. 4381-4386 - Jayalakshmi Mangalagiri, Jones Sam Sugumar, Sumeet Menon, David Chapman, Yaacov Yesha, Aryya Gangopadhyay, Yelena Yesha, Phuong Nguyen:
Classification of COVID-19 using Deep Learning and Radiomic Texture Features extracted from CT scans of Patients Lungs. 4387-4395 - Shahana Nandy, Vishrut Kumar:
My Mind is a Prison: A Boosted Deep Learning approach to detect the rise in depression since COVID-19 using a stacked bi-LSTM CatBoost model. 4396-4400 - Ebelechukwu Nwafor, Ryan Vaughan, Christopher Kolimago:
Covid Vaccine Sentiment Analysis by Geographic Region. 4401-4404 - Philippos Skovelef Orfanoudakis, Paraskevi K. Tzouveli, Stefanos D. Kollias:
Effects of image quality and quantity on building a competitive COVID-19 diagnosis model. 4405-4410 - Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin L. Smarr, Amarnath Gupta, Ilkay Altintas:
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. 4411-4420 - Lucas Standaert, Thilanka Munasinghe, Dongyoung Jang, Catherine Tate, Sean Lossef, Wilson Wong:
Covid Vaccine Risk Stratification. 4421-4425 - Maryam Taeb, Hongmei Chi, Jie Yan:
Applying Machine Learning to Analyze Anti-Vaccination on Tweets. 4426-4430 - Jin Cao, Rui Hu:
Scalable Outlier Detection Using Distance Projections. 4431-4440 - Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas, Spyros Sioutas:
Approximate High Dimensional Graph Mining With Matrix Polar Factorization: A Twitter Application. 4441-4449 - Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski, Michael Baron, Nathalie Japkowicz:
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data. 4450-4459 - Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data. 4460-4463 - Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Graph-based Clustering for Time Series Data. 4464-4467 - Hayato Nakama, Daichi Amagata, Takahiro Hara:
Approximate Top-k Inner Product Join with a Proximity Graph. 4468-4471 - Wenli Sun, Changgee Chang, Qi Long:
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional Data. 4472-4479 - Xiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son:
Cascaded Dimension Reduction for Effective Anomaly Detection. 4480-4490 - Ibrahim Balogun, Mark Leadingham, Dominique Gulliot, Nii O. Attoh-Okine:
Deep Learning Approach Towards Squat Isolation in a Multi-Embedded Track Geometry Defects. 4491-4495 - Fariha Tahosin Boishakhi, Ponkoj Chandra Shill, Md. Golam Rabiul Alam:
Multi-modal Hate Speech Detection using Machine Learning. 4496-4499 - Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty:
Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network. 4500-4505 - Al Amin Hosain, Huzefa Rangwala, Jana Kosecká:
Improving Sign Video Modeling Using Graph Neural Network. 4506-4513 - Alex Kaplunovich:
COVID-19 Multi-Modal Data Analysis with Alexa Voice and Conversational AI Applications : Voice First System Tracking Novel Coronavirus. 4514-4517 - Emanuela Marasco, Anudeep Vurity:
Fingerphoto Presentation Attack Detection: Generalization in Smartphones. 4518-4523 - Debaditya Shome, Tejaswini Kar:
ConOffense: Multi-modal multitask Contrastive learning for offensive content identification. 4524-4529 - Chih-Ying Yang, Kuan-Yu Chen:
A Re-thinking ASR Modeling Framework using Attention Mechanisms. 4530-4536 - Dongyu Zhang, Teng Guo, Shiyu Han, Sadaf Vahabli, Mehdi Naseriparsa, Feng Xia:
Predicting Mental Health Problems with Personality, Behavior, and Social Networks. 4537-4546 - Shubhi Asthana, Pawan Chowdhary, Indervir Singh Banipal, Shikhar Kwatra, Taiga Nakamura:
Joint time-series learning framework for maximizing purchase order renewals. 4547-4550 - Nitish Bahadur, Randy C. Paffenroth:
Dimension Estimation using Second Order data in Finance. 4551-4560 - Gjorgjina Cenikj, Bozhanka Vitanova, Tome Eftimov:
Skills Named-Entity Recognition for Creating a Skill Inventory of Today's Workplace. 4561-4565 - Kin-Hon Ho, Tse-Tin Chan, Haoyuan Pan, Chin Li:
Do Candlestick Patterns Work in Cryptocurrency Trading? 4566-4569 - Elvys Linhares Pontes, Mohamed Benjannet:
Contextual Sentence Analysis for the Sentiment Prediction on Financial Data. 4570-4577 - Gomathi Sengodan:
Customer Segmentation Using Mobile Phone Usage Data to Reveal Finance Application User's Behavior. 4578-4583 - Nadhem Zmandar, Mahmoud El-Haj, Paul Rayson:
Multilingual Financial Word Embeddings for Arabic, English and French. 4584-4589 - Jing Ao, Swathi Dinakaran, Hongjian Yang, David R. Wright, Rada Chirkova:
Trustworthy Knowledge Graph Population From Texts for Domain Query Answering. 4590-4599 - Stefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov:
Privacy Preserving Survival Prediction. 4600-4608 - Edson Lucas, Toacy Cavalcante de Oliveira, Paulo Alencar, Donald D. Cowan:
Knowledge-Oriented Graph-Based Approach to Capture the Evolution of Developers' Knowledge. 4609-4612 - Rustam Mehmandarov, Arild Waaler, David Cameron, Roar Fjellheim, Thomas Bech Pettersen:
A Semantic Approach to Identifier Management in Engineering Systems. 4613-4616 - Garima Natani, Satoru Watanabe:
Knowledge Graph-based Data Transformation Recommendation Engine. 4617-4623 - Vyacheslav N. Romanov:
Latent Learning with pyroMind.2020. 4624-4627 - Xintong Zhao, Jane Greenberg, Scott McClellan, Yong-Jie Hu, Steven Lopez, Semion Saikin, Xiaohua Hu, Yuan An:
Knowledge Graph-Empowered Materials Discovery. 4628-4632 - Priyanka Annapureddy, Zeno Franco, Praveen Madiraju, Sheikh Iqbal Ahamed, Mark Flower, Md Fitrat Hossain, Md. Romael Haque, Nadiyah Johnson, Sabirat Rubya, Natalie Danielle Baker, Niharika Jain, Otis Winstead:
Identifying Precursors to Long-Term Crisis in Veterans Using Associative Classifier. 4633-4642 - Edmon Begoli, Ian Goethert, Kathryn Knight:
A Lakehouse Architecture for the Management and Analysis of Heterogeneous Data for Biomedical Research and Mega-biobanks. 4643-4651 - Nurdan Cetinkaya, Sultan Turhan, Ozgun Pinarer:
Respiratory Rate Prediction Algorithm based on Pulse Oximeter. 4652-4658 - Arun Chauhan, Jagadish D. N., Lakshman Mahto:
Multimodality Data Fusion for COVID-19 Diagnosis. 4659-4666 - Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz:
Explainable image analysis for decision support in medical healthcare. 4667-4674 - Caitlin Enright, Theodoros Konstantopoulos, Orlando Pinel Aviles, Jean-Philippe Pierre, Emmanuel Agu:
Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment. 4675-4686 - Jinan Fiaidhi, Petros Zezos, Sabah Mohammed:
Thick Data Analytics for Rating Ulcerative Colitis Severity Using Small Endoscopy Image Sample. 4687-4693 - Michal Gerasimiuk, Dennis L. Shung, Alexander Tong, Adrian J. Stanley, Michael Schultz, Jeffrey Ngu, Loren Laine, Guy Wolf, Smita Krishnaswamy:
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data. 4694-4704 - Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. 4705-4714 - Dae-young Kim, Lavanya Elluri, Karuna P. Joshi:
Trusted Compliance Enforcement Framework for Sharing Health Big Data. 4715-4724 - Ceyhun Koc, Özgün Pinarer, Sultan Turhan:
3D Mesh Model Generation from CT and MRI data. 4725-4730 - Hüsnü Murat Koçak, Ahmet Teoman Naskali, Özgün Pinarer, Jérôme Mitard:
Detecting Transistor Defects in Medical Systems Using a Multi Model Ensemble of Convolutional Neural Networks. 4731-4737 - Sabah Mohammed, Jinan Fiaidhi, Darien Sawyer:
GraphQL Patient Case Presentation using the Problem Oriented Medical Record Schema. 4738-4744 - Yusaku Nitta, Mitchell Borders, Simone A. Ludwig:
Analysis of Gene Expression Cancer Data Set: Classification of TCGA Pan-cancer HiSeq Data. 4745-4752 - Fuad Rahman, Abrar Rahman, A. K. M. Shahariar Azad Rabby, Md Jamiur Rahman Rifat, Mridul Banik, Md. Majedul Islam, Aminul Islam, Nor Azriah Aziz, Rick Meyer, John Kriak, Sidney Goldblatt:
Modeling Influenza with a Forest Deep Neural Network Utilizing a Virtualized Clinical Semantic Network. 4753-4760 - Damla Sentürk, Günce Keziban Orman:
Detecting Genetic Disposition of Ethnicity to Autoimmune Diseases via Clustering. 4761-4769 - Sayali Shelke, Emmanuel Agu:
TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings. 4770-4779 - Leo Wang, Haiying Shen, Kyle Enfield, Karen Rheuban:
COVID-19 Infection Detection Using Machine Learning. 4780-4789 - Jiawei Wu, Priyanka Annapureddy, Zach Farahany, Praveen Madiraju:
A Machine Learning Approach to Predict Length of Stay for Opioid Overdose Admitted Patients. 4790-4797 - Yunfan Liu, Baoying Ma, Yan Wang:
Study on prediction model of stroke risk based on decision tree and regression model. 4798-4801 - Kalpnil Anjan, Willam Andreopoulos, Katerina Potika:
Prediction of higher-order links using global vectors and Hasse diagrams. 4802-4811 - Paulo do Carmo, Ricardo M. Marcacini:
Embedding propagation over heterogeneous event networks for link prediction. 4812-4821 - Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. 4822-4831 - Austin Coursey, Gopal Nath, Srikanth Prabhu, Saptarshi Sengupta:
Remaining Useful Life Estimation of Hard Disk Drives using Bidirectional LSTM Networks. 4832-4841 - Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu:
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. 4842-4851 - Jianbing Ding, Xidong Wang, Xiaozhou Ye, Ye Ouyang, Yuanyuan Chai:
TTERCL: An onSite Real-time Alarm Root-Cause Location Algorithm. 4852-4858 - Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz:
On the combined effect of class imbalance and concept complexity in deep learning. 4859-4868 - Sayem Mohammad Imtiaz, Kazi Zakia Sultana, Aparna S. Varde:
Mining Learner-friendly Security Patterns from Huge Published Histories of Software Applications for an Intelligent Tutoring System in Secure Coding. 4869-4876 - Tanqiu Jiang, Sidhant K. Bendre, Hanjia Lyu, Jiebo Luo:
From Static to Dynamic Prediction: Wildfire Risk Assessment Based on Multiple Environmental Factors. 4877-4886 - Ragini Kihlman, Maria Fasli:
Classifying human rights violations using deep multi-label co-training. 4887-4895 - Junlan Lu, Magdalini Eirinaki:
Can a machine win a Grammy? An evaluation of AI-generated song lyrics. 4896-4905 - Priyadarshini Murugan, Younes Karimi, Anna Cinzia Squicciarini, Christopher Griffin:
Modeling Longitudinal Behavior Dynamics Among Extremist Users in Twitter Data. 4906-4914 - Stefan Oehmcke, Thomas Nyegaard-Signori, Kenneth Grogan, Fabian Gieseke:
Estimating Forest Canopy Height With Multi-Spectral and Multi-Temporal Imagery Using Deep Learning. 4915-4924 - Pradeep Pallikila, Pamalla Veena, R. Uday Kiran, Ram Avatar, Sadanori Ito, Koji Zettsu, P. Krishna Reddy:
Discovering Top-k Spatial High Utility Itemsets in Very Large Quantitative Spatiotemporal databases. 4925-4935 - Sophie Pavia, Montasir Shams, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Learning Tabular Embeddings at Web Scale. 4936-4944 - Appan Rakaraddi, Mahardhika Pratama:
Unsupervised Learning for Identifying High Eigenvector Centrality Nodes: A Graph Neural Network Approach. 4945-4954 - Md. Riyadh, M. Omair Shafiq:
Towards Multi-class Sentiment Analysis With Limited Labeled Data. 4955-4964 - Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim:
Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. 4965-4973 - Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali:
Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT. 4974-4978 - Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. 4979-4988 - Zevin Shaul, Sheikh Naaz:
cgSpan: Closed Graph-Based Substructure Pattern Mining. 4989-4998 - Songyang Zhang, Tolga Aktas, Jiebo Luo:
Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos. 4999-5006 - Xupin Zhang, Hanjia Lyu, Jiebo Luo:
Understanding the Hoarding Behaviors during the COVID-19 Pandemic using Large Scale Social Media Data. 5007-5013 - Haitian Zheng, Kefei Wu, Jong-Hwi Park, Wei Zhu, Jiebo Luo:
Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach. 5014-5023 - Eric Bax, Frédéric Ouimet:
Bounding Means of Discrete Distributions. 5024-5032 - Alessio Bernardo, Emanuele Della Valle:
SMOTE-OB: Combining SMOTE and Online Bagging for Continuous Rebalancing of Evolving Data Streams. 5033-5042 - Vibhav Agarwal, Akansha Bhardwaj, Paolo Rosso, Philippe Cudré-Mauroux:
ConvTab: A Context-Preserving, Convolutional Model for Ad-Hoc Table Retrieval. 5043-5052 - John Daniel Bossér, Erik Sörstadius, Morteza Haghir Chehreghani:
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks. 5053-5062 - Charalampos Chelmis, Wenting Qi:
Hierarchical MultiClass AdaBoost. 5063-5070 - Chang-Han Chiang, Pangfeng Liu, Da-Wei Wang, Ding-Yong Hong, Jan-Jan Wu:
Optimal Branch Location for Cost-effective Inference on Branchynet. 5071-5080 - Alfredo Cuzzocrea, Ernesto Damiani:
Privacy-Preserving Big Data Exchange: Models, Issues, Future Research Directions. 5081-5084 - Wei Dai, Daniel Berleant:
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation. 5085-5094 - Brian Daley, Edoardo Serra, Alfredo Cuzzocrea:
Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. 5095-5101 - Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. 5102-5106 - Zhiye Fu, Hsing-Kuo Pao, Jiabin He:
Active Learning with Numerical Feature Annotation. 5107-5115 - Badih Ghattas, Antoine Pinto, Sambou Diao:
MapReduce Clustering for Big Data. 5116-5124 - Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann:
Implementing Efficient and Scalable In-Database Linear Regression in SQL. 5125-5132 - Jhalak Gupta, Arijit Khan:
Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity. 5133-5142 - Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. 5143-5152 - Ziqing Hu, Yihao Fang, Lizhen Lin:
Training Graph Neural Networks by Graphon Estimation. 5153-5162 - Najib Ishaq, Thomas J. Howard III, Noah M. Daniels:
Clustered Hierarchical Anomaly and Outlier Detection Algorithms. 5163-5174 - Junfeng Jiao, Seung-Jun Choi, Weijia Xu:
Tracking Property Ownership Variance and Forecasting Housing Price with Machine Learning and Deep Learning. 5175-5184 - Jasmin Lampert, Christoph H. Lampert:
Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis. 5185-5192 - Paula Lauren:
Constraining Weighted Word Co-occurrence Frequencies in Word Embeddings. 5193-5198 - Thiago de Oliveira Lima, Methanias Colaço Júnior, Kleber H. de J. Prado, Israel Dias de J., Frederico Resende de Oliveira:
A Big Data Experiment to Evaluate the Effectiveness of Traditional Machine Learning Techniques Against LSTM Neural Networks in the Hotels Clients Opinion Mining. 5199-5208 - Masoud Malek, Mostafa Haghir Chehreghani, Ehsan Nazerfard, Morteza Haghir Chehreghani:
Shallow Node Representation Learning using Centrality Indices. 5209-5214 - Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Open Data Lake to Support Machine Learning on Arctic Big Data. 5215-5224 - Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. 5225-5232 - Donghao Qiao, Farhana H. Zulkernine:
Drivable Area Detection Using Deep Learning Models for Autonomous Driving. 5233-5238 - Qudrat E. Alahy Ratul, Edoardo Serra, Alfredo Cuzzocrea:
Evaluating Attribution Methods in Machine Learning Interpretability. 5239-5245 - Shaina Raza, Chen Ding:
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System. 5246-5256 - José de S. Ribeiro, Raíssa Lorena Silva da Silva, Lucas F. F. Cardoso, Ronnie Alves:
Does Dataset Complexity Matters for Model Explainers? 5257-5265 - Thomas Schlegl, Stefan Schlegl, Amélie Sciberras, Nikolai West, Jochen Deuse:
Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. 5266-5274 - Montasir Shams, Sophie Pavia, Rituparna Khan, Anna Pyayt, Michael N. Gubanov:
Towards Unveiling Dark Web Structured Data. 5275-5282 - Kevin Styp-Rekowski, Claudia Stolle, Ingo Michaelis, Odej Kao:
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data. 5283-5290 - Heng-Ru May Tan, Lisa Pham:
Machine Learning Assisted Troubleshooting Flows. 5291-5300 - Francesco Versaci, Giovanni Busonera:
Scaling deep learning data management with Cassandra DB. 5301-5310 - Zhaojun Yang, Lan Chen, He Zhang, Zhenjie Yao:
Residual Connection based TPA-LSTM Networks for Cluster Node CPU Load Prediction. 5311-5316 - Hong Yi, Chris Bizon, David Borland, Matthew Watson, Matthew Satusky, Robert Rittmuller, Randa Radwan, Raghavan Srinivasan, Ashok Krishnamurthy:
AI Tool with Active Learning for Detection of Rural Roadside Safety Features. 5317-5326 - Yifan Zhang, Jiahao Li, Ablan Carlo, Alex K. Manda, Scott Hamshaw, Sergiu M. Dascalu, Frederick C. Harris Jr., Rui Wu:
Data Regression Framework for Time Series Data with Extreme Events. 5327-5336 - Giacomo Ziffer, Alessio Bernardo, Emanuele Della Valle, Albert Bifet:
Kalman Filtering for Learning with Evolving Data Streams. 5337-5346 - Syed Raza Bashir, Vojislav B. Misic:
Detecting Fake Points of Interest from Location Data. 5347-5356 - Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea:
Detecting Botnet Nodes via Structural Node Representation Learning. 5357-5364 - Christophe Cerisara, Alfredo Cuzzocrea:
Unsupervised Risk for Privacy. 5365-5368 - Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Farhat Lamia Barsha, Shahriar Sobhan, Md Abdullah Khan, Michael E. Whitman, Alfredo Cuzzocrea, Dan C. Lo, Akond Rahman, Fan Wu:
Malware Detection and Prevention using Artificial Intelligence Techniques. 5369-5377 - Chris Giblin, Sean Rooney, Pascal Vetsch, Adrian Preston:
Securing Kafka with Encryption-at-Rest. 5378-5387 - Joshua Hightower, William Bradley Glisson, Ryan Benton, Jeffrey Todd McDonald:
Classifying Android Applications Via System Stats. 5388-5394 - Duy H. Ho, Yugyung Lee:
Big Data Analytics Framework for Predictive Analytics using Public Data with Privacy Preserving. 5395-5405 - Yuxin Liang, Zhiyong Liu, Yong Song, Aidong Yang, Xiaozhou Ye, Ye Ouyang:
A Methodology of Trusted Data Sharing across Telecom and Finance Sector under China's Data Security Policy. 5406-5412 - Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md. Jobair Hossain Faruk, Maria Valero, Md Abdullah Khan, Mohammad Ashiqur Rahman, Muhaiminul I. Adnan, Alfredo Cuzzocrea, Fan Wu:
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. 5413-5419 - Anifat M. Olawoyin, Carson K. Leung, Alfredo Cuzzocrea:
Privacy-Preserving Publishing and Visualization of Spatial-Temporal Information. 5420-5429 - Mingming Peng, Max Khanov, Saikeerthi Reddy Madireddy, Hongmei Chi, Esra Akbas, Gokila Dorai:
DECADE - Deep Learning Based Content-hiding Application Detection System for Android. 5430-5440 - Miguel Quebrado, Edoardo Serra, Alfredo Cuzzocrea:
Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. 5441-5449 - Ryan Shivers, Mohammad Ashiqur Rahman, Md. Jobair Hossain Faruk, Hossain Shahriar, Alfredo Cuzzocrea, Victor Clincy:
Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform. 5450-5459 - Maxime Thouvenot, Olivier Curé, Philippe Calvez:
Preventing Attribute and Entity Disclosures: Combining k-anonymity and Anatomy over RDF Graphs. 5460-5469 - Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu:
Deep Fraud Detection on Non-attributed Graph. 5470-5473 - Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. 5474-5483 - Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Youcef Djenouri, Jimmy Ming-Tai Wu:
Detection of Trajectory Outliers in Intelligent Transportation Systems. 5484-5490 - Lili Chen, Wensheng Gan, Qi Lin, Jinbao Miao, Chien-Ming Chen:
Mining On-shelf High-utility Quantitative Itemsets. 5491-5500 - Tzung-Pei Hong, Hsiu-Wei Chiu, Shih-Feng Huang, Yi-Ting Chen:
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets. 5501-5506 - Gengsen Huang, Wensheng Gan, Shan Huang, Jiahui Chen, Chien-Ming Chen:
NSPIS: Mining Negative Sequential Patterns with Individual Support. 5507-5516 - Linh Le, Ying Xie, Sumit Chakravarty, Michael Hales, John Johnson, Tu N. Nguyen:
Analysis of Students' Concentration Levels for Online Learning Using Webcam Feeds. 5517-5523 - Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen:
Joint Utility and Frequency for Pattern Classification. 5524-5533 - Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen:
Targeted High-Utility Itemset Querying. 5534-5543 - Lukasz Sosnowski, Jakub Wróblewski:
Toward automatic assessment of a risk of women's health disorders based on ontology decision models and menstrual cycle analysis. 5544-5552 - Shusaku Tsumoto:
Granular Computing based Comparison of Agglomerative Clustering. 5553-5560 - Shusaku Tsumoto:
Empirical Rule Induction Methods Selection. 5561-5570 - Bri Bumgardner, Farhan Tanvir, Khaled Mohammed Saifuddin, Esra Akbas:
Drug-Drug Interaction Prediction: a Purely SMILES Based Approach. 5571-5579 - Ka Ying Chan, Mason Lovett, Yesem Kurt Peker:
Private Blockchain for Visitor Authentication and Access Control. 5580-5586 - Calvin Davis, Jaired Collins, Joshua Fraser, Haoxiang Zhang, Shizeng Yao, Emily Lattanzio, Bimal Balakrishnan, Ye Duan, Prasad Calyam, Kannappan Palaniappan:
3D Modeling of Cities for Virtual Environments. 5587-5596 - Chloe Eggleston, Jeremy Abramson:
Woolery: Extending Frame Semantics to Structured Documents. 5597-5601 - Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Janet Layne, Edoardo Serra, Marion Scheepers:
Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. 5602-5608 - Cameron McGinley, Sergio A. Salinas Monroy:
Convolutional Neural Network Optimization for Phishing Email Classification. 5609-5613 - Fiona Murphy, Kayley Abell-Hart, Fusheng Wang:
A Fine-grain Geospatial and Demographic Analysis of Breast Cancer Patterns in New York State. 5614-5619 - Nhan Nguyen, Avijoy Chakma, Nirmalya Roy:
A Scalable and Domain Adaptive Respiratory Symptoms Detection Framework using Earables. 5620-5625 - George E. Strauch, Jiajian Jax Lin, Jelena Tesic:
Overhead Projection Approach For Multi-Camera Vessel Activity Recognition. 5626-5632 - Erica Stutz, Yuri Pradkin, Xiao Song, John S. Heidemann:
Visualizing Internet Measurements of Covid-19 Work-from-Home. 5633-5638 - Cade Winters, Justin Ebby Varghese, George Stafford, Fengxiang Zhao, Songxi Chen, Yi Shang:
Creation of EMA-KN - A Knowledge Network for Ecological Momentary Assessment. 5639-5647 - Sokhna A. York, Alina M. Ali, David C. Lashbrooke, Rodrigo Yepez-Lopez, Carlos A. Barajas, Matthias K. Gobbert, Jerimy C. Polf:
Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy. 5648-5657 - Andy Zhou, Kazi Zakia Sultana, Bharath K. Samanthula:
Investigating the Changes in Software Metrics after Vulnerability is Fixed. 5658-5663 - Maciej Matraszek, Andrzej Janusz, Maciej Swiechowski, Dominik Slezak:
Predicting Victories in Video Games - IEEE BigData 2021 Cup Report. 5664-5671 - Dymitr Ruta, Ling Cen, Ming Liu, Quang Hieu Vu:
Automated feature engineering for prediction of victories in online computer games. 5672-5678 - KaiShen Tseng:
Predicting Victories in Video Games: Using Single XGBoost with Feature Engineering : IEEE BigData 2021 Cup - Predicting Victories in Video Games. 5679-5682 - Quang Hieu Vu, Dymitr Ruta, Ling Cen, Ming Liu:
A combination of general and specific models to predict victories in video games. 5683-5690 - Haitao Xiao, Yuling Liu, Dan Du, Zhigang Lu:
WP-GBDT: An Approach for Winner Prediction using Gradient Boosting Decision Tree. 5691-5698 - Haicheng Chen:
A DQN-based Recommender System for Item-list Recommendation. 5699-5702 - Peng Jiang, Jiafeng Ma, Jianming Zhang:
Deep Reinforcement Learning based Recommender System with State Representation. 5703-5707 - Tzu-Heng Lin, Chen Gao:
Session-aware Item-combination Recommendation with Transformer Network. 5708-5713 - Yuhao Luo, Qianfang Xu, Wenliang Li, Feng Jiang, Bo Xiao:
A multi-step decision prediction model based on LightGBM. 5714-5718 - Minh Pham, Hung Nguyen, Long Dang, Jennifer Adorno Nieves:
Compressive Features in Offline Reinforcement Learning for Recommender Systems. 5719-5726 - Shiwen Wu, Jian Zhao:
Interest-aware Item Combination Prediction. 5727-5732 - Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen:
A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning. 5733-5740 - Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
Spatiotemporal Vision Transformer for Short Time Weather Forecasting. 5741-5746 - Sungbin Choi:
UNet based future weather prediction on Weather4cast 2021 stage 2. 5747-5749 - Pedro Herruzo, Aleksandra Gruca, Llorenç Lliso, Xavier Calbet, Pilar Rípodas, Sepp Hochreiter, Michael Kopp, David P. Kreil:
High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021. 5750-5757 - Pak Hay Kwok, Qi Qi:
Enhanced Variational U-Net for Weather Forecasting. 5758-5763 - Jussi Leinonen:
Improvements to short-term weather prediction with recurrent-convolutional networks. 5764-5769 - Ali Abdin:
Applying self-normalizing neural networks to tackle data-driven soft sensing problems in manufacturing lines. 5770-5773 - Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty:
An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification. 5774-5779 - Sergei Petrov, Chao Zhang, Jaswanth K. Yella, Yu Huang, Xiaoye Qian, Sthitie Bom:
IEEE BigData 2021 Cup: Soft Sensing at Scale. 5780-5785 - Neeta Shinde, Chandana S, Shashank Anand Patil, K. Siri Chandana, Neha Tarannum Pendari, P. G. Sunitha Hiremath, Shankar Gangisetty:
Stacked LSTM Based Wafer Classification. 5786-5790 - Milad Aghajohari, Mohammad Sadegh Akhondzadeh, Saleh Ashkboos, Kamran Chitsaz:
Degree-based Feature Is All You Need: Science4Cast Report. 5791-5794 - Francisco Andrades, Ricardo Ñanculef:
A Method to Predict Semantic Relations on Artificial Intelligence Papers. 5795-5800 - Harlin Lee, Rishi Sonthalia, Jacob G. Foster:
Dynamic Embedding-based Methods for Link Prediction in Machine Learning Semantic Network. 5801-5808 - Yichao Lu:
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. 5809-5814 - João P. Moutinho, Bruno C. Coutinho, Lorenzo Buffoni:
Network-based link prediction of scientific concepts - a Science4Cast competition entry. 5815-5819 - Nima Sanjabi:
Efficiently Predicting Scientific Trends Using Node Centrality Measures of a Science Semantic Network. 5820-5823 - Ngoc Mai Tran, Yangxinyu Xie:
Improving random walk rankings with feature selection and imputation Science4cast competition, team Hash Brown. 5824-5827 - Francisco Valente:
Link Prediction of Artificial Intelligence Concepts using Low Computational Power. 5828-5832 - Arman Abdoli, Mohammad Reza Majma, Parisa Rahmani:
Can Time Series Data Mining Facilitate Wider Adoption of Mobile Health? 5833-5835 - Wali Mohammad Abdullah, David Awosoga, Shahadat Hossain:
Intersection Representation of Big Data Networks and Triangle Counting. 5836-5838 - Aws Naser Jaber Al:
Efficient Visualization Framework for Real-Time Monitoring Network Traffic of High-Speed Networks. 5839-5842 - Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad:
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). 5843-5847 - Eric Bax:
When to Re-Draw a Sample, and Why. 5848-5850 - Alberto Berenguer, Jose-Norberto Mazón, David Tomás:
Towards a tabular open data search engine for public sector information. 5851-5853 - Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad:
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. 5854-5858 - Mai Bui, Lin-Ching Chang, Hang Liu, Qi Zhao, Genshe Chen:
Comparative Study of 3D Point Cloud Compression Methods. 5859-5861 - Nikolas Burzynski, Yuhao Yuan, Adiel Felsen, David Reitano, Zhibo Wang, Khalid A. Sethi, Fake Lu, Kenneth Chiu:
Deep Learning Techniques for Unmixing of Hyperspectral Stimulated Raman Scattering Images. 5862-5864 - Gonçalo Carvalho, Jorge Bernardino, Vasco Pereira, Bruno Cabral:
A holistic data modeling approach for multi-database systems. 5865-5867 - Sangwhan Cha, Yunze Tian, Majid Shaalan, Jeongwoo Hyun, Ki H. Lee:
Implementation of Prototype Environment of Virtual Reality Platform for Virtual Lab (Use case of ESL). 5868-5870 - Yin-Hei Chan, Andrew Kwok-Fai Lui:
Leveraging data sampling patterns in data-driven traffic characteristic modeling. 5871-5873 - Jae-Ho Choi, Jin Young Choi, Eun-Ju Ha:
Data Mining Approach for Characterizing Construction Accidents. 5874 - Tiago Coelho, Álvaro Figueira:
Analysis of Top-Ranked HEI Publications' Strategy on Twitter. 5875-5877 - Dev Dave, Vaibhav K. Anu, Aparna S. Varde:
Automating the Classification of Requirements Data. 5878-5880 - Jose Delgado, Xingquan Zhu, Karin Scarpinato, Jason O. Hallstrom, Terje Hill:
Understanding and Predicting Faculty Success in Winning Grant Awards. 5881 - Lamine Diop, Cheikh Ba:
Parallelization of Sequential Pattern Sampling. 5882-5884 - Xueqin Du, Yulin He, Joshua Zhexue Huang:
Random Sample Partition-Based Clustering Ensemble Algorithm for Big Data. 5885-5887 - Adiel Felsen, Yuhao Yuan, Nikolas Burzynski, David Reitano, Zhibo Wang, Khalid A. Sethi, Fake Lu, Kenneth Chiu:
Cell Nuclei and Lipid Droplets Quantification in Stimulated Raman Images. 5888-5890 - Natasia Fernandez, Vaibhav K. Anu:
Text Mining Algorithms for Cancer Diagnostics. 5891-5893 - Terrence P. Fries:
Big Data Analytics Using Fuzzy Clustering for Network Security. 5894-5896 - Naomichi Fukuda, Kenichi Kourai, Saneyasu Yamaguchi:
Improvement of ARC Considering Negative Locality of Reference in Virtualized Environment. 5897-5899 - Angela Geronazzo, Markus Ziegler:
QMLEx: Data Driven Digital Transformation in Marketing Analytics. 5900-5902 - Britnie Gonzalez-Moodie, Shane Daiek, Jorge Lorenzo-Trueba, Aparna S. Varde:
Multispectral Drone Data Analysis on Coastal Dunes. 5903-5905 - Tanya Graham, Sean Thorpe, Alphanso Murray, Ronald Brown:
Adaptive Biometric Cloud Facial Aging Template Policy - A Time Point Analysis. 5906-5908 - Hafsa El Hafyani, Mohammad Abboud, Yehia Taher:
A Microservices Based Architecture for Implementing and Automating ETL Data Pipelines for Mobile Crowdsensing Applications. 5909-5911 - Hongxuan Huang, Qingyuan Linghu, Fan Zhang, Dian Ouyang, Shiyu Yang:
Truss Decomposition on Multilayer Graphs. 5912-5915 - Shizuku Iida, Kazuo Hara:
Finding Experiential Stress in Tweets by Utilizing both Explicit and Implicit Stress Data. 5916-5918 - Peiquan Jin, Xiangyu Zhuang, Yongping Luo, Mingchen Lu:
Exploring Index Structures for Zoned Namespaces SSDs. 5919-5922 - Atsuki Kamo, Saneyasu Yamaguchi:
I/O Performance Improvement with Striping File Layout Considering Storage of Intermediate Data. 5923-5925 - Amulya Kantharaj, Alireza Abdoli:
Improving Aviation and Flight Safety By Analyzing Surveillance Data. 5926-5928 - Yasuko Kawahata:
Case Study of Mobility Trends in Daily Life in a Motorized City Using Spatiotemporal Information. 5929-5931 - Kaito Kawashima, Saneyasu Yamaguchi:
Understanding Language Model from Questions in Social Studies for Students. 5932-5934 - Jalal Khalil, Da Yan, Guimu Guo, Mirza Tanzim Sami, Joy Bhadhan Roy, Virginia P. Sisiopiku:
Realistic Transport Simulation for Studying the Impacts of Shared Micromobility Services. 5935-5937 - Soumya Snigdha Kundu:
A Distributed Deep Learning Framework for Federated Big Medical Image Analysis. 5938-5940 - Seungjoo Lee, Minsoo Park:
Understanding EV Market Trend: Using Time Series Dynamic Topic Modeling with Youtube Data. 5941-5943 - Rui Li, Weitian Wang:
Augmenting the Communication Naturalness via A 3D Audio-Visual Virtual Agent for Collaborative Robots. 5944-5946 - Qiyu Li, Reza Langari:
Myoelectric Human Computer Interaction Using CNN-LSTM Neural Network for Dynamic Hand Gestures Recognition. 5947-5949 - Keqian Li, Kevin Yen, Shaunak Mishra, Yifan Hu, Changwei Hu, Manisha Verma:
BAN: Large Scale Brand ANonymization for Creative Recommendation via Label Light Adaptation. 5950-5952 - Keqian Li, Yifan Hu, Manisha Verma, Fei Tan, Changwei Hu, Tejaswi Kasturi, Kevin Yen:
Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. 5953-5955 - Jiamu Li, Ji Zhang, Jian Wang, Youwen Zhu, Mohamed Jaward Bah, Gaoming Yang, Yuquan Gan:
VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data. 5956-5958 - Yao Li, Zhenxiao Luo, Chunxu Tang, Mainak Ghosh, Huijun Wu, Lu Zhang, Anneliese Lu, Ruchin Kabra, Nikhil Kantibhai Navadiya, Prachi Mishra, Prateek Mukhedkar, Vrushali Channapattan:
A Performance Evaluation of Spark GraphFrames for Fast and Scalable Graph Analytics at Twitter. 5959 - Zexuan Lyu, Yuchen Wang, Chao Li, Guigang Zhang, Chunmei Huang, Li Zheng, Mengyuan Du, Yongbo Wang, Qin Chen, Weimin Li:
DaaS: Internet-perception big data systems based on AI. 5960-5962 - Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski:
Are central-zone restaurants better for consumers? -An analytical approach. 5963-5965 - Jose-Norberto Mazón, Rob Brennan, Markus Helfert:
Overcoming misattribution to understand open data reuse in smart cities. 5966-5968 - Orestis Rafail Nerantzis, Apostolos Tselios, Alexandros Karakasidis:
MI-OPJ: A Microservices-based Online Programming Judge. 5969-5971 - Valsamis Ntouskos, Chrysa Iliopoulou, Konstantinos Karantzalos:
Production Machine Learning Frameworks for Geospatial Big Data. 5972-5974 - Antonio Iyda Paganelli, Adriano Branco, Markus Endler, Pedro Elkind Velmovitsky, Pedro Miranda, Plinio Pelegrini Morita, Paulo Alencar, Donald D. Cowan:
IoT-Based COVID-19 Health Monitoring System: Context, Early Warning and Self-Adaptation. 5975-5977 - Admitos-Rafael Passadakis, Anastasios Vlachos, Paraskevi K. Tzouveli, Stefanos D. Kollias:
Extracting geographical characteristics about COVID-19 evolution worldwide using machine learning. 5978-5981 - Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam:
Scaling Anomaly Detection Service Using Serverless Technology. 5982-5984 - Marius E. Penteliuc:
Processing Large Satellite Imagery to Estimate Solar Irradiance. 5985-5987 - Thanapol Phungtua-Eng, Yoshitaka Yamamoto, Shigeyuki Sako:
Dynamic Binning for the Unknown Transient Patterns Analysis in Astronomical Time Series. 5988-5990 - Thejas Prasad, Shakeel Rashed:
Real World Data for Clinical Trials Designs using Machine Learning. 5991-5993 - Torsten Priebe, Sebastian Neumaier, Stefan Markus:
Finding Your Way Through the Jungle of Big Data Architectures. 5994-5996 - Janani Priyanka, Daniel Cheriyan, Jae-Ho Choi:
Issues with Current Pm Monitoring Techniques and Control Measures and the Way Forward Using Big Data. 5997 - Linli Qi, Peiquan Jin, Shouhong Wan:
Efficient Selectivity Estimation for Relation-Tree Joins in Multi-Model Databases. 5998-6002 - Jai Radhakrishnan, Martin Collazo, Daniel Uyematsu, Mariam Salloum, Yunfei Hou:
Towards Predicting Bus On-Time Performance in the Inland Empire. 6003-6005 - Hani Ramadhan, Joonho Kwon:
Enhancing Learned Index for A Higher Recall Trajectory K-Nearest Neighbor Search. 6006-6007 - Mathieu Roche, Maguelonne Teisseire:
Integrating Textual Data into Heterogeneous Data Ingestion Processing. 6008-6010 - Mirza Tanzim Sami, Da Yan, Huang Huang, Xinyu Liang, Guimu Guo, Zhe Jiang:
Drone-Based Tower Survey by Multi-Task Learning. 6011-6013 - Tomoya Sasaki, Arisa Nakamura, Jun-Ichi Harasawa, Kazuo Hara, Ikumi Suzuki, Tatsuhiro Takahashi:
Bayesian Optimization With an Auxiliary Classifier for the Development of Polymer Materials. 6014-6016 - Abhishek Saxena, Stefan A. Robila:
Analysis of the New York City's Vehicle Crash Open Data. 6017-6019 - Lisa Singh, Colton Padden, Pamela Davis-Kean, Rabin David, Virinche Marwadi, Yiqing Ren, Rebecca Vanarsdall:
Text Analytic Research Portals: Supporting Large-Scale Social Science Research. 6020-6022 - Gregory Smith, Sondria Miller:
Impact of Organizational Factors on Big Data Analytics Adoptions in U.S. Public Sector Organizations. 6023-6025 - Osvaldo Gogliano Sobrinho, Liedi Ledi Mariani Bernucci, Pedro Luiz Pizzigatti Corrêa, Rosângela dos Santos Motta, Jeaneth Machicao, Angelo Samuel Junqueira, Robson Correia da Costa, Wellingthon Dias de Queiroz, Thales Cesar Giriboni de Mello e Silva, Pedro Lopes Ferraz, Luciano Cassaro, Luciano Oliveira:
Big data analytics in support of the under-rail maintenance management at Vitória - Minas Railway. 6026-6028 - Jianxin Sui, Xiao Ling, Xing Xiang, Genwei Zhang, Xiangchi Zhang:
Transformer Oil Temperature Prediction Based on Long and Short-term Memory Networks. 6029-6031 - Saba Syed, Vaibhav K. Anu:
Digital Evidence Data Collection: Cloud Challenges. 6032-6034 - Xinlan Tan, Zaid Shaikh, Alice Mello, Fiona Creed:
The UN General Assembly Voting Coincidence and Clustering Analysis. 6035-6037 - Vui Huang Tea:
Relationship Discovery Graph of EU COVID Unique Vaccination Certificate Identifier (UVCI). 6038-6039 - Sean Thorpe, Horrett Scarlett:
Towards a Cyber Aware Chatbot Service. 6040-6042 - Sami Uddin, Bipasha Banerjee, Jian Wu, William A. Ingram, Edward A. Fox:
Building A Large Collection of Multi-domain Electronic Theses and Dissertations. 6043-6045 - Kambiz Vahedi, Khadijeh Afhamisisi:
Cloud Based Malware Detection Through Behavioral Entropy. 6046-6048 - Pedro Elkind Velmovitsky, Paulo Alencar, Scott T. Leatherdale, Donald D. Cowan, Plinio Pelegrini Morita:
Towards Real-Time Public Health: A Novel Mobile Health Monitoring System. 6049-6051 - Ziwei Wang, Minzhu Zhao, Yu Chen, Yunya Song, Liang Lan:
A Study of Cantonese Covid-19 Fake News Detection on Social Media. 6052-6054 - Jieling Wu, Mitsugu Saito:
Big Data Analysis for Predicting Post-Earthquake Municipal Road Recovery. 6055 - Ryuta Yamaguchi, Panote Siriaraya, Da Li, Tomoki Yoshihisa, Shinji Shimojo, Yukiko Kawai:
A Proposal of Data Collection by Mobility Users on Real-time for e-Bike Navigation System. 6056-6057 - Toshiki Yamaguchi, Kazuo Hara, Ikumi Suzuki:
Robust Method to Convert HIRAGANA Sequences into Japanese Text. 6058-6060 - Zhenjie Yao, Yixin Chen, Jinwei Wang, Shouling Wu, Yanhui Tu, Minghui Zhao, Luxia Zhang:
Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data. 6061-6063 - Jiayin Yu, Yulin He, Joshua Zhexue Huang:
A Two-Stage Missing Value Imputation Method Based on Autoencoder Neural Network. 6064-6066 - Chao Zhang, Jaswanth K. Yella, Yu Huang, Sthitie Bom:
Learning from Failures in Large Scale Soft Sensing. 6067-6070 - Ethan Zhu, Dingding Wang:
Small Data for Cyberbullying Prediction. 6071 - Mengmeng Zhu, Shouhong Wan, Peiquan Jin, Qijun Tian:
A Feature Fusion Method Based on Multi-Classification Losses for Fine-Grained Visual Categorization. 6072-6074
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