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ORCIDINNS DLIA@IJCNN 2023: Gold Coast, Australia
- Chrisina Jayne, Danilo P. Mandic, Richard J. Duro:
International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA@IJCNN 2023, Gold Coast, Australia, 23 June 2023. Procedia Computer Science 222, Elsevier 2023 - Muhammed Yaseen Morshed Adib, Sovon Chakraborty, Mashiwat Tabassum Waishy, Md. Humaion Kabir Mehedi
, Annajiat Alim Rasel:
BiLSTM-ANN Based Employee Job Satisfaction Analysis from Glassdoor Data Using Web Scraping. 1-10 - Mark C. McKenzie, Mark D. McDonnell:
Hyperparameter Selection in Reinforcement Learning Using the "Design of Experiments" Method. 11-24 - Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri:
Prototypical Quadruplet for Few-Shot Class Incremental Learning. 25-34 - Miles Q. Li, Benjamin C. M. Fung, Ashita Diwan:
A Novel Deep Multi-head Attentive Vulnerable Line Detector. 35-44 - Chenrui Zhang, Chenyi Zhuang:
HScore: A Target Attention-based Filter Pruning with Visualizing the Area of Feature Map. 45-57 - Alexandre Heuillet, Hedi Tabia, Hichem Arioui:
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks. 58-70 - Yuan Xu, Qinliang Su:
Boosting BERT-Based Knowledge Graph Completion with Contrastive Learning and Hard Sample Training. 71-80 - Pedro V. A. Alves, Mateus A. S. S. Goldbarg, Wysterlânya K. P. Barros, Iago D. Rego, Vinícius J. M. T. Filho, Allan de M. Martins, Vicente A. de Sousa Jr., Ramon dos Reis Fontes, Eduardo Henrique da Silva Aranha, Augusto V. Neto, Marcelo A. C. Fernandes:
Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture. 81-93 - Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger:
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI. 94-103 - Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. 104-113 - Regina Ofori-Boateng, Magaly Aceves-Martins, Chrisina Jayne, Nirmalie Wiratunga, Carlos Francisco Moreno-García:
Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation. 114-126 - Shixuan Liu, Chen Peng, Chao Wang, Xiangyan Chen, Shuangyong Song:
icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service. 127-136 - Ke Du, Jiaxing Yan, Li Tang, Hongping Zhao:
A TransSE-ResNet Deep Learning Model with Multi-Head Attention Mechanism for Covid-19 Chest CT Image Classification. 137-146 - Hongyu Zhang, Suyu Wang, Yingying Zhang:
A Dual-Path Multi-Scale Feature Fusion Decoder for SegFormer. 147-156 - Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao:
Distributions-free Martingales Test Distributions-shift. 157-166 - Kehinde Owoeye:
Curriculum Compositional Continual Learning for Neural Machine Translation. 167-176 - Zhengyang Ai, Junnan Yin, Shuaizong Si, Hongsong Zhu, Limin Sun:
Mining Implicit Behavioral Patterns via Attention Networks for Sequential Recommendation. 177-186 - Keyao Li, Jungang Xu:
AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution. 187-196 - Yuanze Zheng, Hu Liang, Shengrong Zhao:
LMBNet: Lightweight Multiple Branch Network for Recognition of HER2 Expression Levels. 197-206 - Fatma Youssef, Victor Parque, Walid Gomaa:
VCOACH: A Virtual Coaching System Based on Visual Streaming. 207-216 - John Emerson, Yllias Chali:
Efficient Multi-hop Question Generation. 217-222 - Christos Kaparakis, Siamak Mehrkanoon:
WF-UNet: Weather Data Fusion using 3D-UNet for Precipitation Nowcasting. 223-232 - Fuyun He, Yan Wei, Fangyu Feng, Youwei Qian:
Efficient and Lightweight Neuron Morphology Classification Using Gabor Convolutional Networks. 233-243 - Ali Bakhshi, Joaquín García-Gómez, Roberto Gil-Pita, Stephan K. Chalup:
Violence Detection in Real-Life Audio Signals Using Lightweight Deep Neural Networks. 244-251 - Jon-Lark Kim, Miseong Kim:
Error-correcting output codes for multi-class classification based on Hadamard matrices and a CNN model. 252-261 - Chang-Shuo Chen, Di-Cheng Wang, Rua-Huan Tsaih, Chi-Hsiang Tsaih:
A Mechanism for Supporting the Peak/Trough Detection in the Concept Drifting Environment. 262-271 - Zhongrui Chen, Md Jobayer, Md. Rakibul Hasan, Khandaker Asif Ahmed, Md. Zakir Hossain:
MutFusVAE: Mutational Fusion Variational Autoencoder for Predicting Primary Sites of Cancer. 272-283 - Zeping Min:
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture. 284-292 - Christos Bazinas, Chris Lytridis, Vassilis G. Kaburlasos:
Meta-Statistical Deep Learning for Stochastic Time-Series Prediction in Agricultural Applications. 293-302 - Pierre Bras:
Langevin Algorithms for Very Deep Neural Networks with Application to Image Classification. 303-310 - Weihuai Chen, Quzhen Baima, Qi Zhao, Binhui Wang:
DGC-CRL: Dependency Graph Convolution based Contrastive Representation Learning for Chinese Medical Question Matching. 311-320 - Samuel Yen-Chi Chen:
Asynchronous training of quantum reinforcement learning. 321-330 - Andres Eduardo Coca Salazar:
CLBP Texture Descriptor in Multipartite Complex Network Configuration for Music Genre Classification. 331-340 - Fathima Nuzla Ismail, Shanika Amarasoma:
One-class Classification-Based Machine Learning Model for Estimating the Probability of Wildfire Risk. 341-352 - Korn Sooksatra, Gissella Bejarano, Pablo Rivas:
Evaluating Robustness of Reconstruction Models with Adversarial Networks. 353-366 - Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. 367-376 - Mengyuan Pan, Po Wu, Yiwei Zou, Chong Ruan, Tao Zhang:
An automatic vulnerability classification framework based on BiGRU-TextCNN. 377-386 - Geon-Jun Yang, Jun-Hee Kim, Hyun-Woo Kim, Gun-Hee Lee, Seong-Whan Lee:
EGPose: Explicit and Geometric Self-Supervision for 3D Human Pose Estimation. 387-396 - Liangshan Lou, Ke Lu, Jian Xue:
Multi-Scale Vision Transformer for Defect Object Detection. 397-406 - Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Saeed Afshar:
An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. 407-414 - John Yoo, Rumali Siddiqua, Xuehan Liu, Khandaker Asif Ahmed, Md. Zakir Hossain:
BeeNet: An End-To-End Deep Network For Bee Surveillance. 415-424 - Thiago Fernandes de Sousa, Celso Gonçalves Camilo:
HDeep: Hierarchical Deep Learning Combination for Detection of Diabetic Retinopathy. 425-434 - Heyu Chen, Shigang Li, Jianfeng Li:
An End-to-End Network for Upright Adjustment of Panoramic Images. 435-447 - Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy:
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. 448-457 - Yasufumi Sakai, Thang Dang, Shigeki Fukuta, Koichi Shirahata, Atsushi Ishikawa, Atsuki Inoue, Hiroshi Kawaguchi, Árni Björn Höskuldsson, Egill Skúlason:
Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks. 458-467 - Yue Wang, Jianjun Yu:
A Co-LNP Academic Award Prediction Mechanism based on the CEw-LSTM Model. 468-477 - Takemori Orima, Takeru Tsuji, Yoshihiko Horio:
An Extended Spatiotemporal Contextual Learning and Memory Network Model for Hardware Implementation. 478-487 - Oluwatamilore Orojo, Jonathan A. Tepper, T. Martin McGinnity, Mufti Mahmud:
The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing. 488-498 - Matthias Stammler, Julian Höfer, David Kraus, Patrick Schmidt, Tim Hotfilter, Tanja Harbaum, Jürgen Becker:
EFFECT: An End-to-End Framework for Evaluating Strategies for Parallel AI Anomaly Detection. 499-508 - Lucas Z. Bissaro, Odelmo O. Nascimento Junior, João-Batista Destro-Filho, Yaochu Jin, Murillo G. Carneiro:
Towards the Prognosis of Patients in Coma using Echo State Networks for EEG Analysis. 509-518 - Simone Sarti, Eugenio Lomurno, Matteo Matteucci:
Anticipate, Ensemble and Prune: Improving Convolutional Neural Networks via Aggregated Early Exits. 519-528 - Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou:
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. 529-538 - Esteban Wilfredo Vilca Zuñiga, Caetano Mazzoni Ranieri, Liang Zhao, Jó Ueyama, Yu-tao Zhu, Donghong Ji:
Maximizing portfolio profitability during a cryptocurrency downtrend: A Bitcoin Blockchain transaction-based approach. 539-548 - Kruttidipta Samal, Thomas Walton, Dung Hoang Tran, Marilyn Wolf:
A Markovian Error Model for False Negatives in DNN-based Perception-Driven Control Systems. 549-560 - Aline Montenegro Leal Silva, Francisco Jair de Oliveira Neres, Ana Paula da Silva Mendes, Vinícius Ponte Machado, André Macedo Santana, Ricardo de Andrade Lira Rabelo:
Method for inferring the number of clusters based on a range of attribute values with subsequent automatic data labeling. 561-570 - Jiawei Yao, Enbei Liu, Maham Rashid, Juhua Hu:
AugDMC: Data Augmentation Guided Deep Multiple Clustering. 571-580 - Pawan Agrawal, Subham Raj, Sriparna Saha, Naoyuki Onoe:
A Meta-learning Based Generative Model with Graph Attention Network for Multi-Modal Recommender Systems. 581-590 - Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Naoyuki Onoe:
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting. 591-600 - Mir Sazzat Hossain, Sugandha Roy, K. M. B. Asad, Arshad Momen, Amin Ahsan Ali, M. Ashraful Amin, A. K. M. Mahbubur Rahman:
Morphological classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs. 601-612 - Sreekanth Sankala, Sri Rama Murty Kodukula:
On Adversarial Vulnerability of Activation Functions in Automatic Speaker verification System. 613-623 - Mustafa Chaukair, Christof Schütte, Vikram Sunkara:
On the Activation Space of ReLU equipped Deep Neural Networks. 624-635 - David Knox, Bing Xue, Mengjie Zhang:
Convolutional Neural Networks with Mask Shift Loss for Improving Building Outlines Detection. 636-645 - Giovanni Carvalho, Darniton Viana, Luciano Barbosa, Tsang Ing Ren:
Combining Structured and Unstructured Data using Co-Attention for Car Price Prediction. 646-655 - Maynara Donato de Souza, Clesson Roberto Silva Junior, Jonysberg P. Quintino, Andre Luís de Medeiros Santos, Fabio Q. B. da Silva, Cleber Zanchettin:
Exploring the Impact of Synthetic Data on Human Activity Recognition Tasks. 656-665 - Taslim Murad, Sarwan Ali, Murray Patterson:
A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. 666-675 - Lokesh Kumar, Sanjay K. Sahay, Hrishikesh Govindrao Kusneniwar:
An investigation of two-step cascaded CNN for the detection of gravitational wave signal from two different astronomical sources. 676-684
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