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ORCID26th ECAI 2023: Kraków, Poland
- Kobi Gal, Ann Nowé, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu:
ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023). Frontiers in Artificial Intelligence and Applications 372, IOS Press 2023, ISBN 978-1-64368-436-9 - Alessandro Abate, Yousif Almulla, James Fox, David Hyland, Michael J. Wooldridge:
Learning Task Automata for Reinforcement Learning Using Hidden Markov Models. 3-10 - Carlo Adornetto
, Valeria Fionda, Gianluigi Greco:
On the Effectiveness of Compact Strategies for Opinion Diffusion in Social Environments. 11-18 - Neeraj Agrawal:
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy. 19-26 - Shqiponja Ahmetaj, Magdalena Ortiz, Anouk Oudshoorn, Mantas Simkus:
Reconciling SHACL and Ontologies: Semantics and Validation via Rewriting. 27-35 - Florian Ahrens, Mihai Pomarlan, Daniel Beßler, Thorsten Fehr, Michael Beetz, Manfred Herrmann:
Towards a Neuronally Consistent Ontology for Robotic Agents. 36-43 - Diego Aineto, Alessandro Gaudenzi, Alfonso Gerevini, Alberto Rovetta, Enrico Scala, Ivan Serina:
Action-Failure Resilient Planning. 44-51 - Stéphane Airiau, Hugo Gilbert, Umberto Grandi, Jérôme Lang, Anaëlle Wilczynski:
Fair Rent Division on a Budget Revisited. 52-59 - Mansour Al Ghanim, Muhammad Santriaji, Qian Lou, Yan Solihin:
TrojBits: A Hardware Aware Inference-Time Attack on Transformer-Based Language Models. 60-68 - Omran Alamayreh, Jun Wang, Giovanna Maria Dimitri, Benedetta Tondi, Mauro Barni:
A Siamese Based System for City Verification. 69-76 - Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna:
Complexity of Verification and Existence Problems in Epistemic Argumentation Framework. 77-84 - Ebtisaam Alharbi, Leandro Soriano Marcolino, Antonios Gouglidis, Qiang Ni:
Robust Federated Learning Method Against Data and Model Poisoning Attacks with Heterogeneous Data Distribution. 85-92 - SeungHwan An, Kyungwoo Song, Jong-June Jeon:
Causally Disentangled Generative Variational AutoEncoder. 93-100 - Arvindh Arun, Aakash Aanegola, Amul Agrawal, Ramasuri Narayanam, Ponnurangam Kumaraguru:
CAFIN: Centrality Aware Fairness Inducing IN-Processing for Unsupervised Representation Learning on Graphs. 101-108 - Arman Bolatov, Maxat Tezekbayev, Igor Melnykov, Artur Pak, Vassilina Nikoulina, Zhenisbek Assylbekov:
Long-Tail Theory Under Gaussian Mixtures. 109-116 - Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On Contrastive Explanations for Tree-Based Classifiers. 117-124 - Gennaro Auricchio, Jie Zhang:
On the Manipulability of Maximum Vertex-Weighted Bipartite b-Matching Mechanisms. 125-132 - Gennaro Auricchio, Ruixiao Zhang, Jie Zhang, Xiaohao Cai:
A Bilevel Formalism for the Peer-Reviewing Problem. 133-140 - Guy Avni, Tobias Meggendorfer, Suman Sadhukhan, Josef Tkadlec, Dorde Zikelic:
Reachability Poorman Discrete-Bidding Games. 141-148 - Hamed Ayoobi, Nico Potyka, Francesca Toni:
SpArX: Sparse Argumentative Explanations for Neural Networks. 149-156 - Housam Khalifa Bashier Babiker, Mi-Young Kim, Randy Goebel:
From Intermediate Representations to Explanations: Exploring Hierarchical Structures in NLP. 157-164 - Helena Balabin, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick Dupont, Rik Vandenberghe, Marie-Francine Moens:
Investigating Neural Fit Approaches for Sentence Embedding Model Paradigms. 165-173 - Andrea Balogh, Guillaume Escamocher, Barry O'Sullivan:
Partial Compilation of SAT Using Selective Backbones. 174-181 - Arundhati Banerjee, Ramina Ghods, Jeff Schneider:
Cost-Awareness in Multi-Agent Active Search. 182-189 - Pablo Barceló, Mauricio Duarte, Cristóbal Rojas, Tomasz Steifer:
No Agreement Without Loss: Learning and Social Choice in Peer Review. 190-197 - Xiaotong Cheng, Setareh Maghsudi:
Cooperative Thresholded Lasso for Sparse Linear Bandit. 198-205 - Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao:
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. 206-213 - Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane:
Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning. 214-222 - Adrien Benamira, Tristan Guérand, Thomas Peyrin, Hans Soegeng:
Neural Network-Based Rule Models with Truth Tables. 223-230 - Lyndon Benke, Tim Miller, Michael Papasimeon, Nir Lipovetzky:
Diverse, Top-k, and Top-Quality Planning Over Simulators. 231-238 - Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar:
Pareto Rank-Preserving Supernetwork for Hardware-Aware Neural Architecture Search. 239-246 - Viktor Besin, Markus Hecher, Stefan Woltran:
On the Structural Complexity of Grounding - Tackling the ASP Grounding Bottleneck via Epistemic Programs and Treewidth. 247-254 - Arthur Bit-Monnot:
Enhancing Hybrid CP-SAT Search for Disjunctive Scheduling. 255-262 - Yngvi Björnsson, Róbert Leó Þormar Jónsson, Sigurjón Ingi Jónsson:
Expediting Self-Play Learning in AlphaZero-Style Game-Playing Agents. 263-270 - Elisa Böhl, Sarah Alice Gaggl, Dominik Rusovac:
Representative Answer Sets: Collecting Something of Everything. 271-278 - Luigi Bonassi, Giuseppe De Giacomo, Marco Favorito, Francesco Fuggitti, Alfonso Emilio Gerevini, Enrico Scala:
FOND Planning for Pure-Past Linear Temporal Logic Goals. 279-286 - Thomas Bonnier:
Leveraging Error Patterns to Correct Prediction Intervals. 287-294 - Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge:
On Sustainable Ride Pooling Through Conditional Expected Value Decomposition. 295-302 - Robert Bredereck, Andrzej Kaczmarczyk, Dusan Knop, Rolf Niedermeier:
High-Multiplicity Fair Allocation Using Parametric Integer Linear Programming. 303-310 - Robert Bredereck, Till Fluschnik, Nimrod Talmon:
Efficiently Computing Smallest Agreeable Sets. 311-318 - Alessandro Burigana, Paolo Felli, Marco Montali, Nicolas Troquard:
A Semantic Approach to Decidability in Epistemic Planning. 319-326 - Andrea Campagner:
Credal Learning: Weakly Supervised Learning from Credal Sets. 327-334 - Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao:
Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. 335-342 - Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang:
A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. 343-350 - Diogo S. Carvalho, Francisco S. Melo, Pedro A. Santos:
Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning. 351-356 - Alberto Castagna, Ivana Dusparic:
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning. 357-364 - Davide Catta, Jean Leneutre, Vadim Malvone:
Obstruction Logic: A Strategic Temporal Logic to Reason About Dynamic Game Models. 365-372 - Jaël Champagne Gareau, Guillaume Gosset, Éric Beaudry, Vladimir Makarenkov:
Cache-Efficient Dynamic Programming MDP Solver. 373-380 - Alexander Chebykin, Arkadiy Dushatskiy, Tanja Alderliesten, Peter A. N. Bosman:
Shrink-Perturb Improves Architecture Mixing During Population Based Training for Neural Architecture Search. 381-388 - Guanqi Chen, Lei Yang, Guanhua Chen, Jia Pan:
Evaluating Explanation Methods for Vision-and-Language Navigation. 389-396 - Jiehua Chen, Christian Hatschka, Sofia Simola:
Efficient Algorithms for Monroe and CC Rules in Multi-Winner Elections with (Nearly) Structured Preferences. 397-404 - Liangliang Chen, Hongzhan Lin, Jinshan Ma, Guang Chen:
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation. 405-412 - Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li:
Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks. 413-420 - Xu Chen, Shuo Liu, Xuan Di:
Learning Dual Mean Field Games on Graphs. 421-428 - Yirui Chen, Pengjin Wei, Zhenhuan Liu, Bingchao Wang, Jie Yang, Wei Liu:
FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud. 429-436 - Yuchen Chen, Pengfei Ren, Jingyu Wang, Haifeng Sun, Qi Qi, Jing Wang, Jianxin Liao:
Region-Aware Dynamic Filtering Network for 3D Hand Reconstruction. 437-444 - Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin:
Diffusion Model for Camouflaged Object Detection. 445-452 - Remo Christen, Salomé Eriksson, Michael Katz, Christian Muise, Alice Petrov, Florian Pommerening, Jendrik Seipp, Silvan Sievers, David Speck:
PARIS: Planning Algorithms for Reconfiguring Independent Sets. 453-460 - Iason Chrysomallis, Dimitrios Troullinos, Georgios Chalkiadakis, Ioannis Papamichail, Markos Papageorgiou:
Deep Reinforcement Learning with Implicit Imitation for Lane-Free Autonomous Driving. 461-468 - Martin C. Cooper, Leila Amgoud:
Abductive Explanations of Classifiers Under Constraints: Complexity and Properties. 469-476 - Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio:
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting. 477-484 - Sylvie Coste-Marquis, Pierre Marquis:
Rectifying Binary Classifiers. 485-492 - Baptistin Coutance, Prasanna Maddila, Anaëlle Wilczynski:
Rank-Envy-Freeness in Roommate Matchings. 493-500 - Andrew Cropper, Céline Hocquette:
Learning Logic Programs by Combining Programs. 501-508 - Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu:
TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks. 509-516 - Jacek Cyranka, Kevin E. M. Church, Jean-Philippe Lessard:
Worrisome Properties of Neural Network Controllers and Their Symbolic Representations. 517-525 - Qizhu Dai, Jiang Zhong, Wei Zhu, Chen Wang, Hong Yin, Qin Lei, Xue Li, Rongzhen Li:
Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. 526-532 - Giuseppe De Giacomo, Gianmarco Parretti, Shufang Zhu:
LTLf Best-Effort Synthesis in Nondeterministic Planning Domains. 533-540 - Théo Delemazure, François Durand, Fabien Mathieu:
Aggregating Correlated Estimations with (Almost) no Training. 541-548 - Yasan Ding, Bin Guo, Yan Liu, Hao Wang, Haocheng Shen, Zhiwen Yu:
PiercingEye: Identifying Both Faint and Distinct Clues for Explainable Fake News Detection with Progressive Dynamic Graph Mining. 549-556 - Carmine Dodaro, Giuseppe Mazzotta, Francesco Ricca:
Compilation of Tight ASP Programs. 557-564 - Yihong Dong, Ge Li, Xue Jiang, Zhi Jin:
Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. 565-574 - Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. 575-582 - Yijun Duan, Xin Liu, Adam Jatowt, Chenyi Zhuang, Haitao Yu, Steven J. Lynden, Kyoung-Sook Kim, Akiyoshi Matono:
What Wikipedia Misses About Yuriko Nakamura? Predicting Missing Biography Content by Learning Latent Life Patterns. 583-589 - Paul Duckworth, Katherine A. Vallis, Bruno Lacerda, Nick Hawes:
Reinforcement Learning for Bandits with Continuous Actions and Large Context Spaces. 590-597 - Bao Duong, Thin Nguyen:
Heteroscedastic Causal Structure Learning. 598-605 - Fedor Duzhin:
Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions. 606-612 - Jack Dymond, Sebastian Stein, Steve R. Gunn:
Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. 613-620 - Edith Elkind, Warut Suksompong, Nicholas Teh:
Settling the Score: Portioning with Cardinal Preferences. 621-628 - Ahmed E. Samy, Zekarias T. Kefato, Sarunas Girdzijauskas:
Data-Driven Self-Supervised Graph Representation Learning. 629-636 - Bruno Escoffier, Olivier Spanjaard, Magdaléna Tydrichová:
Algorithmic Recognition of 2-Euclidean Preferences. 637-644 - Lorenzo Famiglini, Andrea Campagner, Federico Cabitza:
Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. 645-652 - Chenyou Fan, Hengyang Lu, Aimin Huang:
A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. 653-659 - Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song:
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. 660-667 - Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang:
On the Robustness of Split Learning Against Adversarial Attacks. 668-675 - Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao:
Multi-Unit Auction over a Social Network. 676-683 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Incomplete Bipolar Argumentation Frameworks. 684-691 - Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura:
Structured Sparse Multi-Task Learning with Generalized Group Lasso. 692-699 - Michael R. Fellows, Mario Grobler, Nicole Megow, Amer E. Mouawad, Vijayaragunathan Ramamoorthi, Frances A. Rosamond, Daniel Schmand, Sebastian Siebertz:
On Solution Discovery via Reconfiguration. 700-707 - Oliver Fernández Gil, Fabio Patrizi, Giuseppe Perelli, Anni-Yasmin Turhan:
Optimal Alignment of Temporal Knowledge Bases. 708-715 - Angelo Ferrando, Rafael C. Cardoso:
Failure Handling in BDI Plans via Runtime Enforcement. 716-723 - Raul Sena Ferreira, Joris Guérin, Jérémie Guiochet, Hélène Waeselynck:
SENA: Similarity-Based Error-Checking of Neural Activations. 724-731 - Zack Fitzsimmons, Edith Hemaspaandra:
Using Weighted Matching to Solve 2-Approval/Veto Control and Bribery. 732-739 - Nayara Fonseca, Veronica Guidetti:
Generalizing Similarity in Noisy Setups: The DIBS Phenomenon. 740-747 - Ramon Fraga Pereira:
Scaling-Up LAO* in FOND Planning: An Ablation Study. 748-755 - Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Revision Transformers: Instructing Language Models to Change Their Values. 756-763 - Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre:
Double Logistic Regression Approach to Biased Positive-Unlabeled Data. 764-771 - Sibo Gai, Donglin Wang, Li He:
OER: Offline Experience Replay for Continual Offline Reinforcement Learning. 772-779 - Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli:
Strategy Repair in Reachability Games. 780-787 - Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic:
Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. 788-794 - Marius Garbea, Vasilis Gkatzelis, Xizhi Tan:
EFx Budget-Feasible Allocations with High Nash Welfare. 795-802 - Zhaocheng Ge, Hanping Hu, Tengfei Zhao:
Towards Trustworthy NLP: An Adversarial Robustness Enhancement Based on Perplexity Difference. 803-810 - Luca Geatti, Alessandro Gianola, Nicola Gigante, Sarah Winkler:
Decidable Fragments of LTLf Modulo Theories. 811-818 - Ashwin George, Luciano Cavalcante Siebert, David A. Abbink, Arkady Zgonnikov:
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions. 819-826 - Michele Ghiotti, Federico Manzella, Giovanni Pagliarini, Guido Sciavicco, Ionel Eduard Stan:
Evolutionary Explainable Rule Extraction from (Modal) Random Forests. 827-834 - Hugo Gilbert, Mohamed Ouaguenouni, Meltem Öztürk, Olivier Spanjaard:
A Hybrid Approach to Preference Learning with Interaction Terms. 835-842 - Pierre-François Gimenez, Jérôme Mengin:
Conditionally Acyclic CO-Networks for Efficient Preferential Optimization. 843-850 - Fausto Giunchiglia, Mayukh Bagchi, Xiaolei Diao:
A Semantics-Driven Methodology for High-Quality Image Annotation. 851-858 - Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou:
RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. 859-866 - Maksim Gladyshev, Natasha Alechina, Mehdi Dastani, Dragan Doder, Brian Logan:
Dynamic Causality. 867-874 - Mateusz Gniewkowski, Piotr Syga, Marek Klonowski, Tomasz Walkowiak:
Do Not Trust Me: Explainability Against Text Classification. 875-882 - Alexander W. Goodall, Francesco Belardinelli:
Approximate Model-Based Shielding for Safe Reinforcement Learning. 883-890 - Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke:
Effective and Efficient Community Search with Graph Embeddings. 891-898 - Manuel Goulão, Arlindo L. Oliveira:
Pretraining the Vision Transformer Using Self-Supervised Methods for Vision Based Deep Reinforcement Learning. 899-907 - Greta Greco, Federico Alberici, Matteo Palmonari, Andrea Cosentini:
Declarative Encoding of Fairness in Logic Tensor Networks. 908-915 - Nathan Griffiths, Nir Oren:
Generosity and the Emergence of Forgiveness in the Donation Game. 916-923 - Nathanaël Gross-Humbert, Nawal Benabbou, Aurélie Beynier, Nicolas Maudet:
On the Notion of Envy Among Groups of Agents in House Allocation Problems. 924-931 - Zihan Guan, Mengnan Du, Ninghao Liu:
XGBD: Explanation-Guided Graph Backdoor Detection. 932-939 - Ping Guo, Yue Hu, Yubing Ren, Yunpeng Li, Jiarui Zhang, Xingsheng Zhang:
Mitigating Long-Tail Language Representation Collapsing via Cross-Lingual Bootstrapped Unsupervised Fine-Tuning. 940-947