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ORCIDThomas Lukasiewicz
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- affiliation: Vienna University of Technology, Austria
- affiliation: University of Oxford, UK
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2020 – today
- 2024
[j82]Vid Kocijan
, Myeongjun Erik Jang, Thomas Lukasiewicz:
Pre-training and diagnosing knowledge base completion models. Artif. Intell. 329: 104081 (2024)- [j81]Zhenghua Xu, Jiaqi Tang, Chang Qi, Dan Yao, Caihua Liu, Yuefu Zhan, Thomas Lukasiewicz:
Cross-domain attention-guided generative data augmentation for medical image analysis with limited data. Comput. Biol. Medicine 168: 107744 (2024) - [j80]Zhenghua Xu, Shengxin Wang, Gang Xu, Yunxin Liu, Miao Yu, Hongwei Zhang, Thomas Lukasiewicz, Junhua Gu:
Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. Comput. Biol. Medicine 169: 107877 (2024) - [j79]Louis Mahon, Thomas Lukasiewicz:
Minimum description length clustering to measure meaningful image complexity. Pattern Recognit. 145: 109889 (2024) - [j78]Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, Thomas Lukasiewicz, Zhenghua Xu:
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 43(1): 76-95 (2024) - [j77]Zhenghua Xu, Zhoutao Yu, Hexiang Zhang, Junyang Chen, Junhua Gu, Thomas Lukasiewicz, Victor C. M. Leung:
PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. IEEE Trans. Netw. Sci. Eng. 11(1): 427-438 (2024) - [j76]Zhenghua Xu, Biao Tian, Shijie Liu, Xiangtao Wang, Di Yuan, Junhua Gu, Junyang Chen, Thomas Lukasiewicz, Victor C. M. Leung:
Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. IEEE Trans. Netw. Sci. Eng. 11(2): 1857-1871 (2024) - [c231]Louis Mahon, Thomas Lukasiewicz:
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation. AAAI 2024: 14281-14288 - [c230]Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern:
The Defeat of the Winograd Schema Challenge (Abstract Reprint). AAAI 2024: 22703 - [i117]Vid Kocijan, Myeongjun Erik Jang, Thomas Lukasiewicz:
Pre-training and Diagnosing Knowledge Base Completion Models. CoRR abs/2401.15439 (2024) - [i116]Mihaela Catalina Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia:
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data. CoRR abs/2402.04823 (2024) - [i115]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. CoRR abs/2402.10814 (2024) - [i114]Mihaela Catalina Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz:
Exploiting T-norms for Deep Learning in Autonomous Driving. CoRR abs/2402.11362 (2024) - [i113]Mihaela Catalina Stoian, Alex Tatomir, Thomas Lukasiewicz, Eleonora Giunchiglia:
PiShield: A NeSy Framework for Learning with Requirements. CoRR abs/2402.18285 (2024) - 2023
- [j75]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315: 103828 (2023) - [j74]Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern:
The defeat of the Winograd Schema Challenge. Artif. Intell. 325: 103971 (2023) - [j73]Di Yuan, Yunxin Liu, Zhenghua Xu, Yuefu Zhan, Junyang Chen, Thomas Lukasiewicz:
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing. Comput. Biol. Medicine 153: 106487 (2023) - [j72]Di Yuan, Zhenghua Xu, Biao Tian, Hening Wang, Yuefu Zhan, Thomas Lukasiewicz:
μ-Net: Medical image segmentation using efficient and effective deep supervision. Comput. Biol. Medicine 160: 106963 (2023) - [j71]Zhenghua Xu, Xudong Zhang, Hexiang Zhang, Yunxin Liu, Yuefu Zhan, Thomas Lukasiewicz:
EFPN: Effective medical image detection using feature pyramid fusion enhancement. Comput. Biol. Medicine 163: 107149 (2023) - [j70]Miao Yu, Miaomiao Guo, Shuai Zhang, Yuefu Zhan, Mingkang Zhao, Thomas Lukasiewicz, Zhenghua Xu:
RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising. Comput. Biol. Medicine 167: 107632 (2023) - [j69]Shuo Zhang, Jiaojiao Zhang, Biao Tian, Thomas Lukasiewicz, Zhenghua Xu:
Multi-modal contrastive mutual learning and pseudo-label re-learning for semi-supervised medical image segmentation. Medical Image Anal. 83: 102656 (2023) - [j68]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112(9): 3261-3291 (2023) - [j67]Mufeng Tang, Tommaso Salvatori, Beren Millidge, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Recurrent predictive coding models for associative memory employing covariance learning. PLoS Comput. Biol. 19(4) (2023) - [j66]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records. IEEE J. Biomed. Health Informatics 27(2): 1106-1117 (2023) - [j65]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz:
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16(1): 642-655 (2023) - [c229]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. ACL (2) 2023: 283-294 - [c228]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) 2023: 540-553 - [c227]Zhongbin Xie, Thomas Lukasiewicz:
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. ACL (1) 2023: 15730-15745 - [c226]Felix Jackson, Thomas Lukasiewicz:
Deconvolution of cell-free DNA in cancer liquid biopsy using a deep AutoEncoder. BCB 2023: 32:1-32:6 - [c225]Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. EACL 2023: 3743-3755 - [c224]Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. ECAI 2023: 2065-2072 - [c223]Myeongjun Jang, Thomas Lukasiewicz:
Improving Language Models' Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. EMNLP 2023: 8496-8510 - [c222]Myeongjun Jang, Thomas Lukasiewicz:
Consistency Analysis of ChatGPT. EMNLP 2023: 15970-15985 - [c221]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. ICASSP 2023: 1-5 - [c220]Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz:
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. ICASSP 2023: 1-5 - [c219]Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz:
Multi-Head Feature Pyramid Networks for Breast Mass Detection. ICASSP 2023: 1-5 - [c218]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. ICLR 2023 - [c217]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. ICLR 2023 - [c216]Gang Xu, Shengxin Wang, Thomas Lukasiewicz, Zhenghua Xu:
Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation. ICME 2023: 2285-2290 - [c215]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML 2023: 36138-36156 - [c214]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs. KR 2023: 472-481 - [c213]Mihaela C. Stoian, Eleonora Giunchiglia, Thomas Lukasiewicz:
Exploiting T-norms for Deep Learning in Autonomous Driving. NeSy 2023: 369-380 - [c212]Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Petersen, Julius Berner:
Mathematical Capabilities of ChatGPT. NeurIPS 2023 - [i112]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Rationalizing Predictions by Adversarial Information Calibration. CoRR abs/2301.06009 (2023) - [i111]Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz:
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR abs/2301.13569 (2023) - [i110]Simon Frieder, Luca Pinchetti, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Alexis Chevalier, Julius Berner:
Mathematical Capabilities of ChatGPT. CoRR abs/2301.13867 (2023) - [i109]Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. CoRR abs/2302.05674 (2023) - [i108]Hexiang Zhang, Zhenghua Xu, Dan Yao, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz:
Multi-Head Feature Pyramid Networks for Breast Mass Detection. CoRR abs/2302.11106 (2023) - [i107]Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu:
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. CoRR abs/2302.13699 (2023) - [i106]Myeongjun Jang, Thomas Lukasiewicz:
Consistency Analysis of ChatGPT. CoRR abs/2303.06273 (2023) - [i105]Louis Mahon, Thomas Lukasiewicz:
Hard Regularization to Prevent Collapse in Online Deep Clustering without Data Augmentation. CoRR abs/2303.16521 (2023) - [i104]Louis Mahon, Lei Shah, Thomas Lukasiewicz:
Correcting Flaws in Common Disentanglement Metrics. CoRR abs/2304.02335 (2023) - [i103]Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz:
Machine Learning with Requirements: a Manifesto. CoRR abs/2304.03674 (2023) - [i102]Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz:
MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation. CoRR abs/2304.07465 (2023) - [i101]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. CoRR abs/2305.18029 (2023) - [i100]Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik:
Evaluating Language Models for Mathematics through Interactions. CoRR abs/2306.01694 (2023) - [i99]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR abs/2306.02980 (2023) - [i98]Zhongbin Xie, Thomas Lukasiewicz:
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models. CoRR abs/2306.04067 (2023) - [i97]Louis Mahon, Thomas Lukasiewicz:
Minimum Description Length Clustering to Measure Meaningful Image Complexity. CoRR abs/2306.14937 (2023) - [i96]Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak, Beren Millidge, Thomas Lukasiewicz:
Causal Inference via Predictive Coding. CoRR abs/2306.15479 (2023) - [i95]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR abs/2308.02866 (2023) - [i94]Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia:
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR abs/2308.07870 (2023) - [i93]Xiangtao Wang, Ruizhi Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu:
AMLP: Adaptive Masking Lesion Patches for Self-supervised Medical Image Segmentation. CoRR abs/2309.04312 (2023) - [i92]Ruizhi Wang, Xiangtao Wang, Jie Zhou, Thomas Lukasiewicz, Zhenghua Xu:
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network. CoRR abs/2310.05355 (2023) - [i91]Myeongjun Erik Jang, Thomas Lukasiewicz:
Improving Language Models Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary. CoRR abs/2310.15541 (2023) - [i90]Lei Sha, Thomas Lukasiewicz:
Text Attribute Control via Closed-Loop Disentanglement. CoRR abs/2312.00277 (2023) - [i89]Simon Frieder, Julius Berner, Philipp Petersen, Thomas Lukasiewicz:
Large Language Models for Mathematicians. CoRR abs/2312.04556 (2023) - 2022
- [j64]Thomas Lukasiewicz, Enrico Malizia:
Complexity results for preference aggregation over (m)CP-nets: Max and rank voting. Artif. Intell. 303: 103636 (2022) - [j63]Thomas Lukasiewicz, Enrico Malizia, Maria Vanina Martinez, Cristian Molinaro, Andreas Pieris, Gerardo I. Simari:
Inconsistency-tolerant query answering for existential rules. Artif. Intell. 307: 103685 (2022) - [j62]Zhenghua Xu, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang:
ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. Neurocomputing 500: 177-190 (2022) - [j61]Myeongjun Jang, Thomas Lukasiewicz:
NoiER: An Approach for Training More Reliable Fine-Tuned Downstream Task Models. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2514-2525 (2022) - [j60]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure. IEEE J. Biomed. Health Informatics 26(7): 3362-3372 (2022) - [c211]Tommaso Salvatori, Yuhang Song, Zhenghua Xu, Thomas Lukasiewicz, Rafal Bogacz:
Reverse Differentiation via Predictive Coding. AAAI 2022: 8150-8158 - [c210]Louis Mahon, Thomas Lukasiewicz:
Efficient Deep Clustering of Human Activities and How to Improve Evaluation. ACML 2022: 722-737 - [c209]Thomas Lukasiewicz, Enrico Malizia:
Pareto and Majority Voting in mCP-nets. DP@AI*IA 2022: 23-31 - [c208]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Explanations for Negative Query Answers under Existential Rules. DP@AI*IA 2022: 65-74 - [c207]Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz:
Image-to-Image Translation with Text Guidance. BMVC 2022: 581 - [c206]Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz:
Memory-Driven Text-to-Image Generation. BMVC 2022: 726 - [c205]Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz:
BECEL: Benchmark for Consistency Evaluation of Language Models. COLING 2022: 3680-3696 - [c204]Jianfeng Wang, Thomas Lukasiewicz:
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. CVPR 2022: 182-190 - [c203]Zehua Cheng, Lianlong Wu, Thomas Lukasiewicz, Emanuel Sallinger, Georg Gottlob:
Democratizing Financial Knowledge Graph Construction by Mining Massive Brokerage Research Reports. EDBT/ICDT Workshops 2022 - [c202]Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. EMNLP (Findings) 2022: 3486-3501 - [c201]Bowen Li, Thomas Lukasiewicz:
Learning to Model Multimodal Semantic Alignment for Story Visualization. EMNLP (Findings) 2022: 4712-4718 - [c200]Frank Mtumbuka, Thomas Lukasiewicz:
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction. EMNLP 2022: 5972-5987 - [c199]Simon Frieder, Thomas Lukasiewicz:
(Non-)Convergence Results for Predictive Coding Networks. ICML 2022: 6793-6810 - [c198]Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML 2022: 14786-14801 - [c197]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. ICML 2022: 15561-15583 - [c196]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML 2022: 22919-22934 - [c195]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics. IJCAI 2022: 2705-2711 - [c194]Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz:
Deep Learning with Logical Constraints. IJCAI 2022: 5478-5485 - [c193]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022: 5538-5545 - [c192]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) 2022: 701-713 - [c191]Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz:
Clustering Generative Adversarial Networks for Story Visualization. ACM Multimedia 2022: 769-778 - [c190]Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz:
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. NAACL-HLT (Findings) 2022: 2030-2042 - [c189]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. NeurIPS 2022 - [c188]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. NeurIPS 2022 - [c187]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Query Answer Explanations under Existential Rules. SEBD 2022: 481-488 - [c186]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. SEBD 2022: 489-496 - [c185]Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. SEBD 2022: 530-537 - [i88]Vid Kocijan, Ernest Davis, Thomas Lukasiewicz, Gary Marcus, Leora Morgenstern:
The Defeat of the Winograd Schema Challenge. CoRR abs/2201.02387 (2022) - [i87]Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Learning on Arbitrary Graph Topologies via Predictive Coding. CoRR abs/2201.13180 (2022) - [i86]Beren Millidge, Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz:
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models. CoRR abs/2202.04557 (2022) - [i85]Beren Millidge, Tommaso Salvatori, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? CoRR abs/2202.09467 (2022) - [i84]Eleonora Giunchiglia, Mihaela Catalina Stoian, Thomas Lukasiewicz:
Deep Learning with Logical Constraints. CoRR abs/2205.00523 (2022) - [i83]Myeongjun Jang, Frank Mtumbuka, Thomas Lukasiewicz:
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence. CoRR abs/2205.03815 (2022) - [i82]Yikuan Li, Mohammad Mamouei, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi, Gholamreza Salimi Khorshidi:
Clinical outcome prediction under hypothetical interventions - a representation learning framework for counterfactual reasoning. CoRR abs/2205.07234 (2022) - [i81]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning. CoRR abs/2206.02629 (2022) - [i80]Jianfeng Wang, Thomas Lukasiewicz:
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. CoRR abs/2206.09293 (2022) - [i79]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR abs/2207.01066 (2022) - [i78]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-ray Pathologies in Natural Language. CoRR abs/2207.04343 (2022) - [i77]Zihang Xu, Zhenghua Xu, Shuo Zhang, Thomas Lukasiewicz:
PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Training. CoRR abs/2207.11683 (2022) - [i76]Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz:
A Theoretical Framework for Inference and Learning in Predictive Coding Networks. CoRR abs/2207.12316 (2022) - [i75]Bowen Li, Thomas Lukasiewicz:
Word-Level Fine-Grained Story Visualization. CoRR abs/2208.02341 (2022) - [i74]Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz:
Memory-Driven Text-to-Image Generation. CoRR abs/2208.07022 (2022) - [i73]Bowen Li, Thomas Lukasiewicz:
Lightweight Long-Range Generative Adversarial Networks. CoRR abs/2209.03793 (2022) - [i72]Louis Mahon, Thomas Lukasiewicz:
Efficient Deep Clustering of Human Activities and How to Improve Evaluation. CoRR abs/2209.08335 (2022) - [i71]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR abs/2210.01597 (2022) - [i70]Lei Sha, Yuhang Song, Yordan Yordanov, Tommaso Salvatori, Thomas Lukasiewicz:
Bird-Eye Transformers for Text Generation Models. CoRR abs/2210.03985 (2022) - [i69]Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz:
Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty. CoRR abs/2210.13729 (2022) - [i68]Luca Pinchetti, Tommaso Salvatori, Yordan Yordanov, Beren Millidge, Yuhang Song, Thomas Lukasiewicz:
Predictive Coding beyond Gaussian Distributions. CoRR abs/2211.03481 (2022) - [i67]Bowen Li, Thomas Lukasiewicz:
Learning to Model Multimodal Semantic Alignment for Story Visualization. CoRR abs/2211.07289 (2022) - [i66]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - [i65]Billy Byiringiro, Tommaso Salvatori, Thomas Lukasiewicz:
Robust Graph Representation Learning via Predictive Coding. CoRR abs/2212.04656 (2022) - 2021
- [j59]Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz:
An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. Inf. Sci. 564: 85-102 (2021) - [j58]Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz:
Stable Model Semantics for Guarded Existential Rules and Description Logics: Decidability and Complexity. J. ACM 68(5): 35:1-35:87 (2021) - [j57]Eleonora Giunchiglia, Thomas Lukasiewicz:
Multi-Label Classification Neural Networks with Hard Logical Constraints. J. Artif. Intell. Res. 72: 759-818 (2021) - [c184]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Preferred Explanations for Ontology-Mediated Queries under Existential Rules. AAAI 2021: 6262-6270 - [c183]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. AAAI 2021: 9515-9523 - [c182]Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. AAAI 2021: 13180-13188 - [c181]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI 2021: 13771-13779 - [c180]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. ACL/IJCNLP (Findings) 2021: 1288-1299 - [c179]Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang:
Lightweight Visual Question Answering using Scene Graphs. CIKM 2021: 3353-3357 - [c178]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR 2021: 3784-3793 - [c177]Vid Kocijan, Thomas Lukasiewicz:
Knowledge Base Completion Meets Transfer Learning. EMNLP (1) 2021: 6521-6533 - [c176]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021: 1224-1234 - [c175]Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. IJCAI 2021: 2112-2118 - [c174]Louis Mahon, Thomas Lukasiewicz:
Selective Pseudo-Label Clustering. KI 2021: 158-178 - [c173]Tommaso Salvatori, Yuhang Song, Yujian Hong, Lei Sha, Simon Frieder, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. NeurIPS 2021: 3874-3886 - [i64]Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi:
An explainable Transformer-based deep learning model for the prediction of incident heart failure. CoRR abs/2101.11359 (2021) - [i63]Yikuan Li, Shishir Rao, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Dexter Canoy, Abdelaali Hassaïne, Thomas Lukasiewicz:
Risk factor identification for incident heart failure using neural network distillation and variable selection. CoRR abs/2102.12936 (2021) - [i62]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks. CoRR abs/2103.03725 (2021) - [i61]Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu:
Predictive Coding Can Do Exact Backpropagation on Any Neural Network. CoRR abs/2103.04689 (2021) - [i60]Eleonora Giunchiglia, Thomas Lukasiewicz:
Multi-Label Classification Neural Networks with Hard Logical Constraints. CoRR abs/2103.13427 (2021) - [i59]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR abs/2105.03761 (2021) - [i58]Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz:
Controlling Text Edition by Changing Answers of Specific Questions. CoRR abs/2105.11018 (2021) - [i57]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR abs/2106.09859 (2021) - [i56]Yikuan Li, Mohammad Mamouei, Gholamreza Salimi Khorshidi, Shishir Rao, Abdelaali Hassaïne, Dexter Canoy, Thomas Lukasiewicz, Kazem Rahimi:
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records. CoRR abs/2106.11360 (2021) - [i55]Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Rationale-Inspired Natural Language Explanations with Commonsense. CoRR abs/2106.13876 (2021) - [i54]Louis Mahon, Thomas Lukasiewicz:
Selective Pseudo-label Clustering. CoRR abs/2107.10692 (2021) - [i53]Myeongjun Jang, Deuk Sin Kwon, Thomas Lukasiewicz:
Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models. CoRR abs/2108.06665 (2021) - [i52]Vid Kocijan, Thomas Lukasiewicz:
Knowledge Base Completion Meets Transfer Learning. CoRR abs/2108.13073 (2021) - [i51]Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories via Predictive Coding. CoRR abs/2109.08063 (2021) - [i50]Myeongjun Jang, Thomas Lukasiewicz:
NoiER: An Approach for Training more Reliable Fine-TunedDownstream Task Models. CoRR abs/2110.02054 (2021) - [i49]Myeongjun Jang, Thomas Lukasiewicz:
Are Training Resources Insufficient? Predict First Then Explain! CoRR abs/2110.02056 (2021) - [i48]Niall Taylor, Lei Sha, Dan W. Joyce, Thomas Lukasiewicz, Alejo J. Nevado-Holgado, Andrey Kormilitzin:
Rationale production to support clinical decision-making. CoRR abs/2111.07611 (2021) - [i47]Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. CoRR abs/2112.06204 (2021) - 2020
- [j56]Alberto Finzi, Thomas Lukasiewicz:
Partially observable game-theoretic agent programming in Golog. Int. J. Approx. Reason. 119: 220-241 (2020) - [j55]Patrick Hohenecker, Thomas Lukasiewicz:
Ontology Reasoning with Deep Neural Networks. J. Artif. Intell. Res. 68: 503-540 (2020) - [j54]Vito Walter Anelli, Renato De Leone, Tommaso Di Noia, Thomas Lukasiewicz, Jessica Rosati:
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting. Semantic Web 11(3): 391-419 (2020) - [c172]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Explanations for Inconsistency-Tolerant Query Answering under Existential Rules. AAAI 2020: 2909-2916 - [c171]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. AAAI 2020: 3097-3104 - [c170]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. AAAI 2020: 5826-5833 - [c169]Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. AAAI 2020: 7253-7260 - [c168]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL 2020: 4157-4165 - [c167]Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
ManiGAN: Text-Guided Image Manipulation. CVPR 2020: 7877-7886 - [c166]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Ontology-Mediated Query Answering in Description Logics (Extended Abstract). Description Logics 2020 - [c165]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Ontology-Mediated Query Answering in Description Logics. ECAI 2020: 672-679 - [c164]Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz:
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. EMNLP (1) 2020: 4963-4969 - [c163]Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz:
Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction. EMNLP (1) 2020: 8554-8565 - [c162]Zhenghua Xu, Di Yuan, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Guizhi Xu:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. ICASSP 2020: 3442-3446 - [c161]Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz:
Knowledge Graph Extraction from Videos. ICMLA 2020: 25-32 - [c160]Patrick Hohenecker, Thomas Lukasiewicz:
Ontology Reasoning with Deep Neural Networks (Extended Abstract). IJCAI 2020: 5060-5064 - [c159]Alina Petrova, John Armour, Thomas Lukasiewicz:
Extracting Outcomes from Appellate Decisions in US State Courts. JURIX 2020: 133-142 - [c158]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Explanations for Negative Query Answers under Existential Rules. KR 2020: 223-232 - [c157]Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu, Rafal Bogacz:
Can the Brain Do Backpropagation? - Exact Implementation of Backpropagation in Predictive Coding Networks. NeurIPS 2020 - [c156]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. NeurIPS 2020 - [c155]Eleonora Giunchiglia, Thomas Lukasiewicz:
Coherent Hierarchical Multi-Label Classification Networks. NeurIPS 2020 - [c154]Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz:
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. NeurIPS 2020 - [i46]Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz:
Image-to-Image Translation with Text Guidance. CoRR abs/2002.05235 (2020) - [i45]Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi:
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records. CoRR abs/2003.10170 (2020) - [i44]Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz:
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR abs/2004.03744 (2020) - [i43]Vid Kocijan, Thomas Lukasiewicz, Ernest Davis, Gary Marcus, Leora Morgenstern:
A Review of Winograd Schema Challenge Datasets and Approaches. CoRR abs/2004.13831 (2020) - [i42]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz, Tommaso Salvatori:
BoxE: A Box Embedding Model for Knowledge Base Completion. CoRR abs/2007.06267 (2020) - [i41]Louis Mahon, Eleonora Giunchiglia, Bowen Li, Thomas Lukasiewicz:
Knowledge Graph Extraction from Videos. CoRR abs/2007.10040 (2020) - [i40]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR abs/2009.11023 (2020) - [i39]Ralph Abboud, Ismail Ilkan Ceylan, Martin Grohe, Thomas Lukasiewicz:
The Surprising Power of Graph Neural Networks with Random Node Initialization. CoRR abs/2010.01179 (2020) - [i38]Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz:
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. CoRR abs/2010.02570 (2020) - [i37]Eleonora Giunchiglia, Thomas Lukasiewicz:
Coherent Hierarchical Multi-Label Classification Networks. CoRR abs/2010.10151 (2020) - [i36]Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz:
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation. CoRR abs/2010.12136 (2020) - [i35]Dan Zhao, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Minmin Xue, Zhigang Fu:
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey. CoRR abs/2011.00940 (2020) - [i34]Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. CoRR abs/2011.01837 (2020) - [i33]Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu:
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images. CoRR abs/2011.07534 (2020) - [i32]Wenting Xu, Chang Qi, Zhenghua Xu, Thomas Lukasiewicz:
Reinforced Medical Report Generation with X-Linear Attention and Repetition Penalty. CoRR abs/2011.07680 (2020) - [i31]Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu:
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism. CoRR abs/2012.03673 (2020) - [i30]Bo Wang, Lei Wang, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu:
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution. CoRR abs/2012.03674 (2020) - [i29]Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. CoRR abs/2012.08883 (2020) - [i28]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR abs/2012.08884 (2020)
2010 – 2019
- 2019
- [j53]Thomas Lukasiewicz, Enrico Malizia:
Complexity results for preference aggregation over (m)CP-nets: Pareto and majority voting. Artif. Intell. 272: 101-142 (2019) - [c153]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data. AAAI 2019: 2711-2718 - [c152]Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Cardinality-Based Repairs. AAAI 2019: 2962-2969 - [c151]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019: 4992-4999 - [c150]Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz:
A Surprisingly Robust Trick for the Winograd Schema Challenge. ACL (1) 2019: 4837-4842 - [c149]Elvira Amador-Domínguez, Patrick Hohenecker, Thomas Lukasiewicz, Daniel Manrique, Emilio Serrano:
An Ontology-Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities. DCAI 2019: 125-133 - [c148]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Query Answering over Log-Linear Probabilistic Data (Abstract). Description Logics 2019 - [c147]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) 2019: 4302-4311 - [c146]Bo Li, Zehua Cheng, Zhenghua Xu, Wei Ye, Thomas Lukasiewicz, Shikun Zhang:
Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment. ICASSP 2019: 7550-7554 - [c145]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Andrius Vaicenavicius:
Explanations for Query Answers under Existential Rules. IJCAI 2019: 1639-1646 - [c144]Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
Controllable Text-to-Image Generation. NeurIPS 2019: 2063-2073 - [i27]Ralph Abboud, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting. CoRR abs/1904.02688 (2019) - [i26]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Mai Xu:
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards. CoRR abs/1905.04640 (2019) - [i25]Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz:
A Surprisingly Robust Trick for Winograd Schema Challenge. CoRR abs/1905.06290 (2019) - [i24]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu:
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence. CoRR abs/1905.08085 (2019) - [i23]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR abs/1908.08025 (2019) - [i22]Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
Controllable Text-to-Image Generation. CoRR abs/1909.07083 (2019) - [i21]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR abs/1910.02065 (2019) - [i20]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR abs/1910.03065 (2019) - [i19]Zehua Cheng, Weiyang Wang, Yan Pan, Thomas Lukasiewicz:
Distributed Low Precision Training Without Mixed Precision. CoRR abs/1911.07384 (2019) - [i18]Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr:
ManiGAN: Text-Guided Image Manipulation. CoRR abs/1912.06203 (2019) - 2018
- [j52]Zhenghua Xu, Oana Tifrea-Marciuska, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Cheng Chen:
Lightweight Tag-Aware Personalized Recommendation on the Social Web Using Ontological Similarity. IEEE Access 6: 35590-35610 (2018) - [j51]Bettina Fazzinga, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Ontological query answering under many-valued group preferences in Datalog+/-. Int. J. Approx. Reason. 93: 354-371 (2018) - [c143]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. IJCAI 2018: 1921-1927 - [c142]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Recent Advances in Querying Probabilistic Knowledge Bases. IJCAI 2018: 5420-5426 - [c141]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS 2018: 9560-9572 - [c140]Daniel Vasile, Thomas Lukasiewicz:
Learning Structured Video Descriptions: Automated Video Knowledge Extraction for Video Understanding Tasks. OTM Conferences (2) 2018: 315-332 - [c139]Ismail Ilkan Ceylan, Thomas Lukasiewicz:
A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases. Reasoning Web 2018: 35-77 - [c138]Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. SEBD 2018 - [e21]Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan:
Proceedings of the Second Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness co-located with the 9th International Joint Conference on Automated Reasoning, PRUV@IJCAR 2018, Oxford, UK, July 19th, 2018. CEUR Workshop Proceedings 2157, CEUR-WS.org 2018 [contents] - [i17]Thomas Lukasiewicz, Enrico Malizia:
Complexity Results for Preference Aggregation over (m)CP-nets: Pareto and Majority Voting. CoRR abs/1806.10018 (2018) - [i16]Patrick Hohenecker, Thomas Lukasiewicz:
Ontology Reasoning with Deep Neural Networks. CoRR abs/1808.07980 (2018) - [i15]Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu:
Diversity-Driven Extensible Hierarchical Reinforcement Learning. CoRR abs/1811.04324 (2018) - [i14]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR abs/1812.01193 (2018) - 2017
- [b2]Gerardo I. Simari, Cristian Molinaro, Maria Vanina Martinez, Thomas Lukasiewicz, Livia Predoiu:
Ontology-Based Data Access Leveraging Subjective Reports. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-65228-3, pp. 1-77 - [j50]Cheng Chen, Xiangwu Meng, Zhenghua Xu, Thomas Lukasiewicz:
Location-Aware Personalized News Recommendation With Deep Semantic Analysis. IEEE Access 5: 1624-1638 (2017) - [j49]Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan:
Preface to the Speical Issue on Reasoning about Preferences, Uncertainty, and Vagueness. FLAP 4(7) (2017) - [j48]Gabriele Kern-Isberner, Thomas Lukasiewicz:
Special Issue on Challenges for Reasoning under Uncertainty, Inconsistency, Vagueness, and Preferences - A Topical Snapshot. Künstliche Intell. 31(1): 5-8 (2017) - [j47]Gabriele Kern-Isberner, Thomas Lukasiewicz:
Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief Survey. Künstliche Intell. 31(1): 9-13 (2017) - [j46]Thomas Lukasiewicz, Enrico Malizia:
A novel characterization of the complexity class ϴPk based on counting and comparison. Theor. Comput. Sci. 694: 21-33 (2017) - [c137]Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Ontology-Mediated Queries for Probabilistic Databases. AAAI 2017: 1063-1069 - [c136]Cheng Chen, Thomas Lukasiewicz, Xiangwu Meng, Zhenghua Xu:
Location-Aware News Recommendation Using Deep Localized Semantic Analysis. DASFAA (1) 2017: 507-524 - [c135]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza, Oana Tifrea-Marciuska:
Query Answering in Ontologies under Preference Rankings. IJCAI 2017: 943-949 - [c134]Ismail Ilkan Ceylan, Stefan Borgwardt, Thomas Lukasiewicz:
Most Probable Explanations for Probabilistic Database Queries. IJCAI 2017: 950-956 - [c133]Zhenghua Xu, Thomas Lukasiewicz, Cheng Chen, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Hybrid Deep Model. IJCAI 2017: 3196-3202 - [c132]Thomas Lukasiewicz:
Uncertainty Reasoning for the Semantic Web. Reasoning Web 2017: 276-291 - [i13]Patrick Hohenecker, Thomas Lukasiewicz:
Deep Learning for Ontology Reasoning. CoRR abs/1705.10342 (2017) - [i12]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao:
Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation. CoRR abs/1708.03797 (2017) - 2016
- [c131]Thomas Lukasiewicz, Enrico Malizia:
On the Complexity of mCP-nets. AAAI 2016: 558-564 - [c130]Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
Basic Probabilistic Ontological Data Exchange with Existential Rules. AAAI 2016: 1023-1029 - [c129]Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari:
Ranking Answers to Datalog+/- Ontologies based on Trust and Reliability of Subjective Reports. Computational Models of Rationality 2016: 175-194 - [c128]Zhenghua Xu, Cheng Chen, Thomas Lukasiewicz, Yishu Miao, Xiangwu Meng:
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling. CIKM 2016: 1921-1924 - [c127]Thomas Lukasiewicz, Livia Predoiu:
Complexity of Threshold Query Answering in Probabilistic Ontological Data Exchange. ECAI 2016: 1008-1016 - [c126]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza:
Complexity Results for Probabilistic Datalog±. ECAI 2016: 1414-1422 - [c125]Stefan Borgwardt, Bettina Fazzinga, Thomas Lukasiewicz, Akanksha Shrivastava, Oana Tifrea-Marciuska:
Preferential Query Answering over the Semantic Web with Possibilistic Networks. IJCAI 2016: 994-1000 - [c124]Thomas Eiter, Thomas Lukasiewicz, Livia Predoiu:
Generalized Consistent Query Answering under Existential Rules. KR 2016: 359-368 - [c123]Thomas Lukasiewicz, Maria Vanina Martinez, David Poole, Gerardo Ignacio Simari:
Probabilistic Models over Weighted Orderings: Fixed-Parameter Tractable Variable Elimination. KR 2016: 494-504 - [e20]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 17, 2016. CEUR Workshop Proceedings 1665, CEUR-WS.org 2016 [contents] - 2015
- [j45]Thomas Lukasiewicz, Attila Sali:
Preface. Ann. Math. Artif. Intell. 73(1-2): 1-3 (2015) - [j44]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. J. Data Semant. 4(2): 81-101 (2015) - [c122]Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari:
From Classical to Consistent Query Answering under Existential Rules. AAAI 2015: 1546-1552 - [c121]Thomas Lukasiewicz, Maria Vanina Martinez, Andreas Pieris, Gerardo I. Simari:
From Classical to Consistent Query Answering under Existential Rules. AMW 2015 - [c120]Ismail Ilkan Ceylan, Thomas Lukasiewicz, Rafael Peñaloza:
Answering EL Queries in the Presence of Preferences. Description Logics 2015 - [c119]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martínez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Combining Existential Rules with the Power of CP-Theories. IJCAI 2015: 2918-2925 - [c118]Jessica Rosati, Tommaso Di Noia, Thomas Lukasiewicz, Renato De Leone, Andrea Maurino:
Preference Queries with Ceteris Paribus Semantics for Linked Data. OTM Conferences 2015: 423-442 - [c117]Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
Existential Rules and Bayesian Networks for Probabilistic Ontological Data Exchange. RuleML 2015: 294-310 - [c116]Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
Probabilistic Ontological Data Exchange with Bayesian Networks. URSW@ISWC 2015: 38-49 - [e19]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool:
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), Bethlehem, USA, October 12, 2015. CEUR Workshop Proceedings 1479, CEUR-WS.org 2015 [contents] - 2014
- [j43]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Ontology-Based Query Answering with Group Preferences. ACM Trans. Internet Techn. 14(4): 25:1-25:24 (2014) - [c115]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Computing k-Rank Answers with Ontological CP-Nets. PRUV 2014: 74-87 - [c114]Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari:
Answering Ontological Ranking Queries Based on Subjective Reports. PRUV 2014: 127-140 - [c113]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Probabilistic Preference Logic Networks. ECAI 2014: 561-566 - [c112]Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz:
Stable Model Semantics for Guarded Existential Rules and Description Logics. KR 2014 - [c111]Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris:
Datalog+/-: Questions and Answers. KR 2014 - [c110]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Computing k-rank answers with Ontological CP-Nets. SEBD 2014: 276-283 - [c109]Thomas Lukasiewicz, Maria Vanina Martinez, Livia Predoiu, Gerardo I. Simari:
Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. URSW (LNCS Vol.) 2014: 41-62 - [c108]Tommaso Di Noia, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Ontological CP-Nets. URSW (LNCS Vol.) 2014: 289-308 - [c107]Thomas Lukasiewicz, Maria Vanina Martínez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari:
Answering Ontological Ranking Queries Based on Subjective Reports. SUM 2014: 223-236 - [c106]Zhenghua Xu, Thomas Lukasiewicz, Oana Tifrea-Marciuska:
Improving Personalized Search on the Social Web Based on Similarities between Users. SUM 2014: 306-319 - [e18]Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan:
Proceedings of the First Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness, PRUV 2014, co-located with 7th International Joint Conference on Automated Reasoning (IJCAR 2014), Vienna, Austria, July 23-24, 2014. CEUR Workshop Proceedings 1205, CEUR-WS.org 2014 [contents] - [e17]Fernando Bobillo, Rommel N. Carvalho, Davide Ceolin, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Tom De Nies, Olaf Hartig, Paul Groth, Stephen Marsh:
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014. CEUR Workshop Proceedings 1259, CEUR-WS.org 2014 [contents] - [e16]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web III - ISWC International Workshops, URSW 2011-2013, Revised Selected Papers. Lecture Notes in Computer Science 8816, Springer 2014, ISBN 978-3-319-13412-3 [contents] - 2013
- [j42]Georg Gottlob, Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Query answering under probabilistic uncertainty in Datalog+ / - ontologies. Ann. Math. Artif. Intell. 69(1): 37-72 (2013) - [j41]Diego Calvanese, Thomas Lukasiewicz:
Preface. Semantic Web 4(4): 349 (2013) - [c105]Tommaso Di Noia, Thomas Lukasiewicz:
Combining CP-Nets with the Power of Ontologies. AAAI (Late-Breaking Developments) 2013 - [c104]André Hernich, Clemens Kupke, Thomas Lukasiewicz, Georg Gottlob:
Well-Founded Semantics for Extended Datalog and Ontological Reasoning. Description Logics 2013: 209-220 - [c103]Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari:
Reasoning with DL-based CP-nets. Description Logics 2013: 640-651 - [c102]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-. Description Logics 2013: 791-803 - [c101]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Preference-Based Query Answering in Datalog+/- Ontologies. Description Logics 2013: 804-815 - [c100]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Query Answering in Datalog+/- Ontologies under Group Preferences and Probabilistic Uncertainty. ICWE Workshops 2013: 192-206 - [c99]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo Ignacio Simari:
Preference-Based Query Answering in Datalog+/- Ontologies. IJCAI 2013: 1017-1023 - [c98]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Complexity of Inconsistency-Tolerant Query Answering in Datalog+/-. OTM Conferences 2013: 488-500 - [c97]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Preference-Based Query Answering in Probabilistic Datalog+/- Ontologies. OTM Conferences 2013: 501-518 - [c96]André Hernich, Clemens Kupke, Thomas Lukasiewicz, Georg Gottlob:
Well-founded semantics for extended datalog and ontological reasoning. PODS 2013: 225-236 - [c95]Marco de Gemmis, Tommaso Di Noia, Ora Lassila, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro:
Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013. RecSys 2013: 483-484 - [c94]Tommaso Di Noia, Thomas Lukasiewicz:
On Ontologies and CP-Nets. SEBD 2013: 43-50 - [c93]Thomas Lukasiewicz, Livia Predoiu:
Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/-. URSW 2013: 3-14 - [c92]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) 2013: 237-261 - [c91]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz:
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) 2013: 300-314 - [c90]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Group Preferences for Query Answering in Datalog+/- Ontologies. SUM 2013: 360-373 - [c89]Tommaso Di Noia, Thomas Lukasiewicz, Gerardo I. Simari:
Reasoning with Semantic-Enabled Qualitative Preferences. SUM 2013: 374-386 - [c88]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari, Oana Tifrea-Marciuska:
Query Answering in Probabilistic Datalog+/- Ontologies under Group Preferences. Web Intelligence 2013: 171-178 - [p3]Thomas Lukasiewicz, Gerardo I. Simari:
Tractable Probabilistic Description Logic Programs. Advances in Probabilistic Databases for Uncertain Information Management 2013: 131-159 - [e15]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), Sydney, Australia, October 21, 2013. CEUR Workshop Proceedings 1073, CEUR-WS.org 2013 [contents] - [e14]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web II, International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers. Lecture Notes in Computer Science 7123, Springer 2013, ISBN 978-3-642-35974-3 [contents] - [i11]Thomas Eiter, Thomas Lukasiewicz:
Causes and Explanations in the Structural-Model Approach: Tractable Cases. CoRR abs/1301.0566 (2013) - [i10]Thomas Lukasiewicz:
Probabilistic Logic Programming under Inheritance with Overriding. CoRR abs/1301.2290 (2013) - [i9]Thomas Lukasiewicz:
Credal Networks under Maximum Entropy. CoRR abs/1301.3873 (2013) - [i8]Thomas Lukasiewicz:
Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. CoRR abs/1301.7397 (2013) - [i7]Thomas Lukasiewicz, Maria Vanina Martinez, Cristian Molinaro, Livia Predoiu, Gerardo I. Simari:
Top-k Query Answering in Datalog+/- Ontologies under Subjective Reports (Technical Report). CoRR abs/1312.0032 (2013) - 2012
- [j40]Sergio Greco, Thomas Lukasiewicz:
Preface. Ann. Math. Artif. Intell. 64(2-3): 109-111 (2012) - [j39]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. 65(2-3): 83-121 (2012) - [j38]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
A general Datalog-based framework for tractable query answering over ontologies. J. Web Semant. 14: 57-83 (2012) - [c87]Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz:
Equality-Friendly Well-Founded Semantics and Applications to Description Logics. AAAI 2012: 757-764 - [c86]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Inconsistency-Tolerant Query Rewriting for Linear Datalog+/-. Datalog 2012: 123-134 - [c85]Georg Gottlob, André Hernich, Clemens Kupke, Thomas Lukasiewicz:
Equality-Friendly Well-Founded Semantics and Applications to Description Logics. Description Logics 2012 - [c84]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Inconsistency Handling in Datalog+/- Ontologies. ECAI 2012: 558-563 - [c83]Thomas Lukasiewicz, Maria Vanina Martinez, Gerardo I. Simari:
Consistent Answers in Probabilistic Datalog+/- Ontologies. RR 2012: 156-171 - [c82]Tommaso Di Noia, Thomas Lukasiewicz:
Introducing Ontological CP-Nets. URSW 2012: 90-93 - [c81]Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari:
Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. UAI 2012: 554-563 - [e13]Thomas Lukasiewicz, Attila Sali:
Foundations of Information and Knowledge Systems - 7th International Symposium, FoIKS 2012, Kiel, Germany, March 5-9, 2012. Proceedings. Lecture Notes in Computer Science 7153, Springer 2012, ISBN 978-3-642-28471-7 [contents] - [e12]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 900, CEUR-WS.org 2012 [contents] - [e11]Marco de Gemmis, Tommaso Di Noia, Pasquale Lops, Thomas Lukasiewicz, Giovanni Semeraro:
Proceedings of the International Workshop on Semantic Technologies meet Recommender Systems & Big Data, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 919, CEUR-WS.org 2012 [contents] - [i6]Thomas Lukasiewicz, Maria Vanina Martinez, Giorgio Orsi, Gerardo I. Simari:
Heuristic Ranking in Tightly Coupled Probabilistic Description Logics. CoRR abs/1210.4894 (2012) - [i5]Alberto Finzi, Thomas Lukasiewicz:
Structure-Based Causes and Explanations in the Independent Choice Logic. CoRR abs/1212.2457 (2012) - [i4]Thomas Eiter, Thomas Lukasiewicz:
Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. CoRR abs/1212.2461 (2012) - 2011
- [j37]Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
Tightly integrated probabilistic description logic programs for representing ontology mappings. Ann. Math. Artif. Intell. 63(3-4): 385-425 (2011) - [j36]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris:
A logical toolbox for ontological reasoning. SIGMOD Rec. 40(3): 5-14 (2011) - [j35]Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer:
Well-founded semantics for description logic programs in the semantic web. ACM Trans. Comput. Log. 12(2): 11:1-11:41 (2011) - [j34]Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob, Thomas Lukasiewicz:
Semantic Web search based on ontological conjunctive queries. J. Web Semant. 9(4): 453-473 (2011) - [c80]Georg Gottlob, Thomas Lukasiewicz, Gerardo I. Simari:
Conjunctive Query Answering in Probabilistic Datalog+/- Ontologies. RR 2011: 77-92 - [c79]Georg Gottlob, Thomas Lukasiewicz, Gerardo I. Simari:
Answering Threshold Queries in Probabilistic Datalog+/- Ontologies. SUM 2011: 401-414 - [e10]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles:
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011. CEUR Workshop Proceedings 778, CEUR-WS.org 2011 [contents] - [e9]Marco de Gemmis, Ernesto William De Luca, Tommaso Di Noia, Aldo Gangemi, Michael Hausenblas, Pasquale Lops, Thomas Lukasiewicz, Till Plumbaum, Giovanni Semeraro:
Proceedings of the second Workshop on Semantic Personalized Information Management: Retrieval and Recommendation 2011, Bonn, Germany, October 24, 2011. CEUR Workshop Proceedings 781, CEUR-WS.org 2011 [contents] - [i3]Thomas Lukasiewicz:
Probabilistic Deduction with Conditional Constraints over Basic Events. CoRR abs/1105.5461 (2011) - 2010
- [j33]Bettina Fazzinga, Thomas Lukasiewicz:
Semantic search on the Web. Semantic Web 1(1-2): 89-96 (2010) - [j32]Thomas Lukasiewicz:
A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. IEEE Trans. Knowl. Data Eng. 22(11): 1577-1592 (2010) - [c78]Andrea Calì, Georg Gottlob, Michael Kifer, Thomas Lukasiewicz, Andreas Pieris:
Ontological Reasoning with F-logic Lite and its Extensions. AAAI 2010: 1660-1665 - [c77]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Andreas Pieris:
Datalog+/-: A Family of Languages for Ontology Querying. Datalog 2010: 351-368 - [c76]Bettina Fazzinga, Giorgio Gianforme, Georg Gottlob, Thomas Lukasiewicz:
Semantic Web Search Based on Ontological Conjunctive Queries. FoIKS 2010: 153-172 - [c75]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz, Bruno Marnette, Andreas Pieris:
Datalog+/-: A Family of Logical Knowledge Representation and Query Languages for New Applications. LICS 2010: 228-242 - [c74]Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Inductive reasoning and semantic web search. SAC 2010: 1446-1447 - [c73]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Combining Semantic Web Search with the Power of Inductive Reasoning. SUM 2010: 137-150 - [e8]Thomas Lukasiewicz, Rafael Peñaloza, Anni-Yasmin Turhan:
Proceedings of the First International Workshop on Uncertainty in Description Logics, Edinburgh, UK, July 20, 2010. CEUR Workshop Proceedings 613, CEUR-WS.org 2010 [contents] - [e7]Pascal Hitzler, Thomas Lukasiewicz:
Web Reasoning and Rule Systems - Fourth International Conference, RR 2010, Bressanone/Brixen, Italy, September 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6333, Springer 2010, ISBN 978-3-642-15917-6 [contents] - [e6]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool:
Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. CEUR Workshop Proceedings 654, CEUR-WS.org 2010 [contents]
2000 – 2009
- 2009
- [j31]Thomas Lukasiewicz, Umberto Straccia:
Description logic programs under probabilistic uncertainty and fuzzy vagueness. Int. J. Approx. Reason. 50(6): 837-853 (2009) - [j30]Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web. J. Data Semant. 12: 95-130 (2009) - [j29]Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati:
Reasoning about actions with sensing under qualitative and probabilistic uncertainty. ACM Trans. Comput. Log. 10(1): 5:1-5:41 (2009) - [c72]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
Tractable Query Answering over Ontologies with Datalog+/-. Description Logics 2009 - [c71]Thomas Lukasiewicz, Azzurra Ragone:
A Combination of Boolean Games with Description Logics for Automated Multi-Attribute Negotiation. Description Logics 2009 - [c70]Thomas Lukasiewicz, Azzurra Ragone:
Combining Boolean Games with the Power of Ontologies for Automated Multi-attribute Negotiation in the Semantic Web. IAT 2009: 395-402 - [c69]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
Datalog±: a unified approach to ontologies and integrity constraints. ICDT 2009: 14-30 - [c68]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz:
Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA 2009: 1209-1214 - [c67]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
A general datalog-based framework for tractable query answering over ontologies. PODS 2009: 77-86 - [c66]Thomas Lukasiewicz:
Uncertainty Reasoning for the Semantic Web. RR 2009: 26-39 - [c65]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
A General Datalog-Based Framework for Tractable Query Answering over Ontologies (extended abstract). SEBD 2009: 29-36 - [c64]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz:
Combining Semantic Web Search with the Power of Inductive Reasoning. URSW 2009: 15-26 - [c63]Thomas Lukasiewicz:
Uncertainty in the Semantic Web. SUM 2009: 2-11 - [c62]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz:
Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. Web Intelligence 2009: 689-692 - [p2]Andrea Calì, Georg Gottlob, Thomas Lukasiewicz:
Datalog Extensions for Tractable Query Answering over Ontologies. Semantic Web Information Management 2009: 249-279 - [p1]Wlodzimierz Drabent, Thomas Eiter, Giovambattista Ianni, Thomas Krennwallner, Thomas Lukasiewicz, Jan Maluszynski:
Hybrid Reasoning with Rules and Ontologies. REWERSE 2009: 1-49 - [e5]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009. CEUR Workshop Proceedings 527, CEUR-WS.org 2009 [contents] - 2008
- [j28]Thomas Lukasiewicz:
Expressive probabilistic description logics. Artif. Intell. 172(6-7): 852-883 (2008) - [j27]Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits:
Combining answer set programming with description logics for the Semantic Web. Artif. Intell. 172(12-13): 1495-1539 (2008) - [j26]Thomas Lukasiewicz:
Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. Fundam. Informaticae 82(3): 289-310 (2008) - [j25]Thomas Lukasiewicz:
Logical approaches to imprecise probabilities. Int. J. Approx. Reason. 49(1): 1-2 (2008) - [j24]Thomas Lukasiewicz:
Probabilistic description logic programs under inheritance with overriding for the Semantic Web. Int. J. Approx. Reason. 49(1): 18-34 (2008) - [j23]Jörg Schellhase, Thomas Lukasiewicz:
Using search strategies and a description logic paradigm with conditional preferences for literature search. Int. J. Metadata Semant. Ontologies 3(1): 68-83 (2008) - [j22]Thomas Lukasiewicz, Umberto Straccia:
Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. Int. J. Semantic Web Inf. Syst. 4(3): 68-89 (2008) - [j21]Thomas Lukasiewicz, Umberto Straccia:
Managing uncertainty and vagueness in description logics for the Semantic Web. J. Web Semant. 6(4): 291-308 (2008) - [c61]Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings. FoIKS 2008: 178-198 - [c60]Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
Representing Ontology Mappings with Probabilistic Description Logics Programs. SEBD 2008: 438-445 - [c59]Andrea Calì, Thomas Lukasiewicz:
An Approach to Probabilistic Data Integration for the Semantic Web. URSW (LNCS Vol.) 2008: 52-65 - [c58]Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
Rule-Based Approaches for Representing Probabilistic Ontology Mappings. URSW (LNCS Vol.) 2008: 66-87 - [c57]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Thomas Lukasiewicz:
Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW 2008 - [c56]Thomas Lukasiewicz, Azzurra Ragone:
Combining Boolean Games with the Power of Ontologies for Automated Multi-Attribute Negotiation in the Semantic Web. SMRR 2008 - [c55]Claudia d'Amato, Nicola Fanizzi, Thomas Lukasiewicz:
Tractable Reasoning with Bayesian Description Logics. SUM 2008: 146-159 - [e4]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás:
Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008 [contents] - [e3]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz:
Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008. CEUR Workshop Proceedings 423, CEUR-WS.org 2008 [contents] - [e2]Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool:
Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Lecture Notes in Computer Science 5327, Springer 2008, ISBN 978-3-540-89764-4 [contents] - [e1]Sergio Greco, Thomas Lukasiewicz:
Scalable Uncertainty Management, Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008. Proceedings. Lecture Notes in Computer Science 5291, Springer 2008, ISBN 978-3-540-87992-3 [contents] - 2007
- [j20]Andrés Cano, Fábio Gagliardi Cozman, Thomas Lukasiewicz:
Reasoning with imprecise probabilities. Int. J. Approx. Reason. 44(3): 197-199 (2007) - [j19]Thomas Lukasiewicz:
Nonmonotonic probabilistic logics under variable-strength inheritance with overriding: Complexity, algorithms, and implementation. Int. J. Approx. Reason. 44(3): 301-321 (2007) - [j18]Thomas Lukasiewicz:
Probabilistic description logic programs. Int. J. Approx. Reason. 45(2): 288-307 (2007) - [j17]Thomas Lukasiewicz, Jörg Schellhase:
Variable-strength conditional preferences for ranking objects in ontologies. J. Web Semant. 5(3): 180-194 (2007) - [c54]Thomas Lukasiewicz, Umberto Straccia:
Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness. ECSQARU 2007: 187-198 - [c53]Thomas Lukasiewicz:
A Novel Combination of Answer Set Programming with Description Logics for the Semantic Web. ESWC 2007: 384-398 - [c52]Andrea Calì, Thomas Lukasiewicz:
Tightly Integrated Probabilistic Description Logic Programs for the Semantic Web. ICLP 2007: 428-429 - [c51]Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz:
Team Programming in Golog under Partial Observability. IJCAI 2007: 2097-2102 - [c50]Thomas Lukasiewicz, Umberto Straccia:
Tightly Integrated Fuzzy Description Logic Programs Under the Answer Set Semantics for the Semantic Web. RR 2007: 289-298 - [c49]Andrea Calì, Thomas Lukasiewicz, Livia Predoiu, Heiner Stuckenschmidt:
A Framework for Representing Ontology Mappings under Probabilities and Inconsistency. URSW 2007 - [c48]Thomas Lukasiewicz, Umberto Straccia:
Top-k Retrieval in Description Logic Programs Under Vagueness for the Semantic Web. SUM 2007: 16-30 - [c47]Thomas Lukasiewicz:
Tractable Probabilistic Description Logic Programs. SUM 2007: 143-156 - 2006
- [j16]Thomas Eiter, Thomas Lukasiewicz:
Causes and explanations in the structural-model approach: Tractable cases. Artif. Intell. 170(6-7): 542-580 (2006) - [c46]Alberto Finzi, Thomas Lukasiewicz:
Adaptive Multi-Agent Programming in GTGolog. ECAI 2006: 753-754 - [c45]Thomas Lukasiewicz, Jörg Schellhase:
Variable-Strength Conditional Preferences for Ranking Objects in Ontologies. ESWC 2006: 288-302 - [c44]Alberto Finzi, Thomas Lukasiewicz:
Game-Theoretic Agent Programming in Golog Under Partial Observability. KI 2006: 113-127 - [c43]Alberto Finzi, Thomas Lukasiewicz:
Adaptive Multi-agent Programming in GTGolog. KI 2006: 389-403 - [c42]Thomas Lukasiewicz, Jörg Schellhase:
Variable-Strength Conditional Preferences for Matchmaking in Description Logics. KR 2006: 164-174 - [c41]Thomas Lukasiewicz:
Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web. RuleML 2006: 89-96 - [c40]Andrea Calì, Thomas Lukasiewicz:
An Approach to Probabilistic Data Integration for the Semantic Web. URSW 2006 - [c39]Thomas Lukasiewicz, Jörg Schellhase:
Preferences, Links, and Probabilities for Ranking Objects in Ontologies. URSW 2006 - 2005
- [j15]Thomas Lukasiewicz:
Weak nonmonotonic probabilistic logics. Artif. Intell. 168(1-2): 119-161 (2005) - [j14]Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo:
Probabilistic logic under coherence: complexity and algorithms. Ann. Math. Artif. Intell. 45(1-2): 35-81 (2005) - [j13]Thomas Lukasiewicz:
Nonmonotonic probabilistic reasoning under variable-strength inheritance with overriding. Synth. 146(1-2): 153-169 (2005) - [c38]Alberto Finzi, Thomas Lukasiewicz:
Game theoretic Golog under partial observability. AAMAS 2005: 1301-1302 - [c37]Thomas Lukasiewicz:
Probabilistic Description Logic Programs. ECSQARU 2005: 737-749 - [c36]Thomas Lukasiewicz:
Nonmonotonic Probabilistic Logics under Variable-Strength Inheritance with Overriding: Algorithms and Implementation in NMPROBLOG. ISIPTA 2005: 230-239 - [c35]Alberto Finzi, Thomas Lukasiewicz:
Game-Theoretic Reasoning About Actions in Nonmonotonic Causal Theories. LPNMR 2005: 185-197 - [c34]Thomas Lukasiewicz:
Stratified Probabilistic Description Logic Programs. ISWC-URSW 2005: 87-97 - 2004
- [j12]Thomas Eiter, Thomas Lukasiewicz:
Complexity results for explanations in the structural-model approach. Artif. Intell. 154(1-2): 145-198 (2004) - [j11]Gabriele Kern-Isberner, Thomas Lukasiewicz:
Combining probabilistic logic programming with the power of maximum entropy. Artif. Intell. 157(1-2): 139-202 (2004) - [c33]Alberto Finzi, Thomas Lukasiewicz:
Game-Theoretic Agent Programming in Golog. ECAI 2004: 23-27 - [c32]Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati:
Reasoning about Actions with Sensing under Qualitative and Probabilistic Uncertainty. ECAI 2004: 818-822 - [c31]Alberto Finzi, Thomas Lukasiewicz:
Relational Markov Games. JELIA 2004: 320-333 - [c30]Thomas Lukasiewicz:
Weak Nonmonotonic Probabilistic Logics. KR 2004: 23-33 - [c29]Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits:
Combining Answer Set Programming with Description Logics for the Semantic Web. KR 2004: 141-151 - [c28]Luca Iocchi, Thomas Lukasiewicz, Daniele Nardi, Riccardo Rosati:
Qualitative and probabilistic uncertainty in reasoning about actions with sensing. NMR 2004: 240-248 - [c27]Thomas Eiter, Thomas Lukasiewicz, Roman Schindlauer, Hans Tompits:
Well-Founded Semantics for Description Logic Programs in the Semantic Web. RuleML 2004: 81-97 - 2003
- [j10]Veronica Biazzo, Rosalba Giugno, Thomas Lukasiewicz, V. S. Subrahmanian:
Temporal Probabilistic Object Bases. IEEE Trans. Knowl. Data Eng. 15(4): 921-939 (2003) - [c26]Thomas Lukasiewicz:
Probabilistic Lexicographic Entailment under Variable-Strength Inheritance with Overriding. ECSQARU 2003: 576-587 - [c25]Thomas Eiter, Thomas Lukasiewicz:
Probabilistic Reasoning about Actions in Nonmonotonic Causal Theories. UAI 2003: 192-199 - [c24]Alberto Finzi, Thomas Lukasiewicz:
Structure-Based Causes and Explanations in the Independent Choice Logic. UAI 2003: 225-232 - 2002
- [j9]Thomas Eiter, Thomas Lukasiewicz:
Complexity results for structure-based causality. Artif. Intell. 142(1): 53-89 (2002) - [j8]Thomas Lukasiewicz:
Probabilistic Default Reasoning with Conditional Constraints. Ann. Math. Artif. Intell. 34(1-3): 35-88 (2002) - [j7]Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo:
Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P. J. Appl. Non Class. Logics 12(2): 189-213 (2002) - [c23]Rosalba Giugno, Thomas Lukasiewicz:
P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web. JELIA 2002: 86-97 - [c22]Thomas Eiter, Thomas Lukasiewicz:
Complexity Results for Explanations in the Structural-Model Approach. KR 2002: 49-60 - [c21]Thomas Lukasiewicz:
Nonmonotonic probabilistic logics between model-theoretic probabilistic logic and probabilistic logic under coherence. NMR 2002: 265-274 - [c20]Thomas Eiter, Thomas Lukasiewicz:
Causes and Explanations in the Structural-Model Approach : Tractable Cases. UAI 2002: 146-153 - [i2]Thomas Lukasiewicz:
Nonmonotonic Probabilistic Logics between Model-Theoretic Probabilistic Logic and Probabilistic Logic under Coherence. CoRR cs.AI/0207075 (2002) - 2001
- [j6]Thomas Eiter, Thomas Lukasiewicz, Michael Walter:
A data model and algebra for probabilistic complex values. Ann. Math. Artif. Intell. 33(2-4): 205-252 (2001) - [j5]Thomas Lukasiewicz:
Probabilistic logic programming with conditional constraints. ACM Trans. Comput. Log. 2(3): 289-339 (2001) - [j4]Thomas Eiter, James J. Lu, Thomas Lukasiewicz, V. S. Subrahmanian:
Probabilistic object bases. ACM Trans. Database Syst. 26(3): 264-312 (2001) - [c19]Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo:
Probabilistic Logic under Coherence, Model-Theoretic Probabilistic Logic, and Default Reasoning. ECSQARU 2001: 290-302 - [c18]Thomas Eiter, Thomas Lukasiewicz:
Complexity Results for Structure-Based Causality. IJCAI 2001: 35-42 - [c17]Veronica Biazzo, Angelo Gilio, Thomas Lukasiewicz, Giuseppe Sanfilippo:
Probabilistic Logic under Coherence: Complexity and Algorithms. ISIPTA 2001: 51-61 - [c16]Thomas Lukasiewicz:
Fixpoint Characterizations for Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. LPNMR 2001: 336-350 - [c15]Thomas Lukasiewicz:
Probabilistic Logic Programming under Inheritance with Overriding. UAI 2001: 329-336 - 2000
- [j3]Thomas Eiter, Thomas Lukasiewicz:
Default reasoning from conditional knowledge bases: Complexity and tractable cases. Artif. Intell. 124(2): 169-241 (2000) - [c14]Thomas Eiter, Thomas Lukasiewicz, Michael Walter:
Extension of the Relational Algebra to Probabilistic Complex Values. FoIKS 2000: 94-115 - [c13]Thomas Eiter, Thomas Lukasiewicz:
New Tractable Cases in Default Reasoning from Conditional Knowledge Bases. JELIA 2000: 313-328 - [c12]Thomas Eiter, Thomas Lukasiewicz:
Complexity Results for Default Reasoning from Conditional Knowledge Bases. KR 2000: 62-73 - [c11]Thomas Lukasiewicz:
Credal Networks under Maximum Entropy. UAI 2000: 363-370 - [i1]Thomas Lukasiewicz:
Probabilistic Default Reasoning with Conditional Constraints. CoRR cs.AI/0003023 (2000)
1990 – 1999
- 1999
- [j2]Thomas Lukasiewicz:
Local probabilistic deduction from taxonomic and probabilistic knowledge-bases over conjunctive events. Int. J. Approx. Reason. 21(1): 23-61 (1999) - [j1]Thomas Lukasiewicz:
Probabilistic Deduction with Conditional Constraints over Basic Events. J. Artif. Intell. Res. 10: 199-241 (1999) - [c10]Thomas Lukasiewicz, Gabriele Kern-Isberner:
Probalilistic Logic Programming under Maximum Entropy. ESCQARU 1999: 279-292 - [c9]Thomas Lukasiewicz:
Probabilistic and Truth-Functional Many-Valued Logic Programming. ISMVL 1999: 236-241 - [c8]Thomas Lukasiewicz:
Many-Valued Disjunctive Logic Programs with Probabilistic Semantics. LPNMR 1999: 277-289 - 1998
- [c7]Thomas Lukasiewicz:
Many-Valued First-Order Logics with Probabilistic Semantics. CSL 1998: 415-429 - [c6]Thomas Lukasiewicz:
Probabilistic Logic Programming. ECAI 1998: 388-392 - [c5]Thomas Lukasiewicz:
Probabilistic Deduction with Conditional Constraints over Basic Events. KR 1998: 380-393 - [c4]Thomas Lukasiewicz:
Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge. UAI 1998: 354-361 - 1997
- [c3]Thomas Lukasiewicz:
Efficient Global Probabilistic Deduction from Taxonomic and Probabilistic Knowledge-Bases over Conjunctive Events. CIKM 1997: 75-82 - 1996
- [b1]Thomas Lukasiewicz:
Precision of probabilistic deduction under taxonomic knowledge. University of Augsburg, 1996, pp. 1-172 - 1995
- [c2]Thomas Lukasiewicz, Werner Kießling, Gerhard Köstler, Ulrich Güntzer:
Taxonomic and Uncertain Integrity Constraints in Object-Oriented Databases - the TOP Approach. CIKM 1995: 241-249 - [c1]Thomas Lukasiewicz:
Uncertain Reasoning in Concept Lattices. ECSQARU 1995: 293-300
Coauthor Index
Oana-Maria Camburu
aka: Oana Camburu
aka: Oana Camburu
Paulo C. G. Costa
aka: Paulo Cesar G. da Costa
aka: Paulo Cesar G. da Costa
Gholamreza Salimi Khorshidi
aka: Gholamreza Salimi-Khorshidi
aka: Gholamreza Salimi-Khorshidi
Maria Vanina Martinez
aka: Maria Vanina Martínez
aka: Maria Vanina Martínez
Gerardo I. Simari
aka: Gerardo Ignacio Simari
aka: Gerardo Ignacio Simari
Mihaela Catalina Stoian
aka: Mihaela C. Stoian
aka: Mihaela C. Stoian
[j81] [j80] [j78] [j77] [j76] [j73] [j72] [j71] [j70] [j69] [j65] [c221] [c220] [c219] [c216] [i108] [i107] [i102] [i93] [i92] [j62] [c211] [i77] [i69] [i66] [c178] [c173] [i62] [i61] [i57] [i51] [c170] [c169] [c162] [c157] [i35] [i33] [i32] [i31] [i30] [c151] [c146] [i26] [i24] [j52] [i15] [j50] [c136] [c133] [i12] [c128] [c106]
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