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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 - Ashish Gupta, George Markowsky, Sajal K. Das:
Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning? 948-955 - Sumeet Gupta, Shweta Jain, Shashi Shekhar Jha, Pao-Ann Hsiung, Ming-Hung Wang:
Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. 956-963 - Balint Gyevnar, Nick Ferguson, Burkhard Schafer:
Bridging the Transparency Gap: What Can Explainable AI Learn from the AI Act? 964-971 - Ernst Moritz Hahn, Mateo Perez, Sven Schewe, Fabio Somenzi, Ashutosh Trivedi, Dominik Wojtczak:
Omega-Regular Reward Machines. 972-979 - Ronan Hamon, Henrik Junklewitz:
Exploring the Feasibility of Physical Adversarial Attacks: A Cybersecurity Study. 980-987 - Xuejun Han, Yuhong Guo:
Evolving Dictionary Representation for Few-Shot Class-Incremental Learning. 988-995 - Eden Hartman, Avinatan Hassidim, Yonatan Aumann, Erel Segal-Halevi:
Leximin Approximation: From Single-Objective to Multi-Objective. 996-1003 - Hans Ole Hatzel, Fynn Petersen-Frey, Tim Fischer, Chris Biemann:
Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity. 1004-1011 - Sandro Hauri, Slobodan Vucetic:
Group Activity Recognition in Basketball Tracking Data - Neural Embeddings in Team Sports (NETS). 1012-1019 - Long He, Xiangfu Zhao, Yichen Wang, Jiahui Yang, Xuelei Sun:
GraphSA: Smart Contract Vulnerability Detection Combining Graph Neural Networks and Static Analysis. 1020-1027 - Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang:
Multi-Domain Learning from Insufficient Annotations. 1028-1035 - David Herel, Hugo Cisneros, Tomás Mikolov:
Preserving Semantics in Textual Adversarial Attacks. 1036-1043 - Paul Höft, David Speck, Jendrik Seipp:
Sensitivity Analysis for Saturated Post-Hoc Optimization in Classical Planning. 1044-1051 - Rostislav Horcík, Daniel Fiser:
Gaifman Graphs in Lifted Planning. 1052-1059 - Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li:
LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. 1060-1067 - Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning with Reward Machines in Stochastic Games. 1068-1075 - Peiyao Hua, Haifeng Sun, Jiachang Hao, Cong Liu, Jingyu Wang, Qi Qi, Jianxin Liao:
Reasoning Guided by a Manual: Context-Aware Image Captioning with Novel Objects. 1076-1083 - Fanding Huang, Zihao Yao, Wenhui Zhou:
DTBS: Dual-Teacher Bi-Directional Self-Training for Domain Adaptation in Nighttime Semantic Segmentation. 1084-1091 - Shanshan Huang, Siyu Ren, Kenny Q. Zhu:
Combating Short Circuit Behavior in Natural Language Reasoning: Crossover and Mutation Operations for Enhanced Robustness. 1092-1099 - Xuanxiang Huang, João Marques-Silva:
From Decision Trees to Explained Decision Sets. 1100-1108 - Yizheng Huang, Jimmy X. Huang:
Diversified Prior Knowledge Enhanced General Language Model for Biomedical Information Retrieval. 1109-1115 - Zhigang Huang, Quan Liu:
Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. 1116-1123 - Markus Iser, Jeremias Berg, Matti Järvisalo:
Oracle-Based Local Search for Pseudo-Boolean Optimization. 1124-1131 - Raghav Jain, Tulika Saha, Sriparna Saha:
T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection. 1132-1139 - Xing Jia, Yun Xiong, Yao Zhang, Li Luo:
Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation. 1140-1147 - Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. 1148-1155 - Yifan Jiang, Filip Ilievski, Kaixin Ma:
Transferring Procedural Knowledge Across Commonsense Tasks. 1156-1163 - Jiachun Jin, Jiankun Wang, Lu Sun, Jie Zheng, Mineichi Kudo:
Grouped Multi-Task Learning with Hidden Tasks Enhancement. 1164-1171 - Tongsai Jin, Zhihui Fu, Dan Meng, Jun Wang, Yue Qi, Guitao Cao:
FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. 1172-1179 - Magdalena Kacprzak, Artur Niewiadomski, Wojciech Penczek, Andrzej Zbrzezny:
SMT-Based Satisfiability Checking of Strategic Metric Temporal Logic. 1180-1189 - Joanna Kaczmarek, Jörg Rothe, Nimrod Talmon:
Complexity of Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games. 1190-1197 - Ido Kahana, Noam Hazon:
The Leximin Approach for a Sequence of Collective Decisions. 1198-1206 - Daniel Kaluza, Andrzej Janusz, Dominik Slezak:
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations. 1207-1214 - Haniye Kashgarani, Lars Kotthoff:
Automatic Parallel Portfolio Selection. 1215-1222 - Nikos Katzouris, Georgios Paliouras:
Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition. 1223-1230 - Dimitrios Kelesis, Dimitrios Vogiatzis, Georgios Katsimpras, Dimitris Fotakis, Georgios Paliouras:
Reducing Oversmoothing in Graph Neural Networks by Changing the Activation Function. 1231-1238 - Shakil M. Khan, Maryam Rostamigiv:
On Explaining Agent Behaviour via Root Cause Analysis: A Formal Account Grounded in Theory of Mind. 1239-1247 - Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb:
Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. 1248-1255 - Sohaib Kiani, Jared Barton, Jon Sushinsky, Lynda Heimbach, Bo Luo:
Counterfactual Prediction Under Selective Confounding. 1256-1263 - Mateusz Klimaszewski, Zeno Belligoli, Satendra Kumar, Emmanouil Stergiadis:
Gated Adapters for Multi-Domain Neural Machine Translation. 1264-1271 - Thorsten Klößner, Jendrik Seipp, Marcel Steinmetz:
Cartesian Abstractions and Saturated Cost Partitioning in Probabilistic Planning. 1272-1279 - Zhifeng Kong, Scott Alfeld:
Approximate Data Deletion in Generative Models. 1288-1323 - Stav Koren, David Sarne:
Satisfaction-Maximizing Optimal Stopping. 1324-1331 - Ryo Kuroiwa, Alexander Shleyfman, J. Christopher Beck:
Extracting and Exploiting Bounds of Numeric Variables for Optimal Linear Numeric Planning. 1332-1339 - Hyunjun Lee, Junhyun Lee, Taehwa Choi, Jaewoo Kang, Sangbum Choi:
Towards Flexible Time-to-Event Modeling: Optimizing Neural Networks via Rank Regression. 1340-1347 - Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. 1348-1356 - Tingting Leng, Ling Zhao, Xiaolong Xiong, Peng Cheng, Jun Zhou:
Self-Expressive Network-Based Subspace Clustering for Deep Embedding. 1357-1364 - Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li:
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering. 1365-1372 - Bin Li, Yahui Lei:
Mechanism Design for Ad Auctions with Display Prices. 1373-1380 - Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang:
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. 1381-1388 - Jia Li, Yanhao Wang, Arpit Merchant:
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints. 1389-1397 - Qun Li, Xubei Pan, Fu Xiao, Bir Bhanu:
ESSL: Enhanced Spatio-Temporal Self-Selective Learning Framework for Unsupervised Video Anomaly Detection. 1398-1405 - Shaojie Li, Yong Liu:
High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. 1406-1413 - Shuxian Li, Liyan Song, Yiu-ming Cheung, Xin Yao:
BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. 1414-1421 - Weidong Li, Mengxiao Zhang, Libo Zhang, Jiamou Liu:
Integrated Private Data Trading Systems for Data Marketplaces. 1422-1429 - Xiaoying Li, Xiaojun Chen, Bisheng Tang, Shaopu Wang, Yuexin Xuan, Zhendong Zhao:
Unsupervised Graph Structure-Assisted Personalized Federated Learning. 1430-1438 - Xin-Yi Li, Pei-Nan Zhong, Di Chen, Zhendong Zhang, Yu-Bin Yang:
DeepDiscord: Dual Contrastive Coding for Transferable Time Series Anomaly Detection. 1439-1446 - Yaoman Li, Irwin King:
Neural Architecture Search for Explainable Networks. 1447-1454 - Yile Li, Yinliang Yue, Xiaoyan Gu, Peng Fu, Weiping Wang:
BMIPN: A Biased Multi-Granularity Interaction Prototype Network for Few-Shot Relation Extraction. 1455-1462 - Aiting Liang, Yongmei Liu:
A Model-Theoretic Approach to Belief Revision in Multi-Agent Belief Logic and Its Syntactic Characterizations. 1463-1472 - Jianbo Liao, Mingyi Jia, Junwen Duan, Jianxin Wang:
FBC: Fusing Bi-Encoder and Cross-Encoder for Long-Form Text Matching. 1473-1480 - Haoxin Lin, Yihao Sun, Jiaji Zhang, Yang Yu:
Model-Based Reinforcement Learning with Multi-Step Plan Value Estimation. 1481-1488 - Songtuan Lin, Gregor Behnke, Pascal Bercher:
Accelerating SAT-Based HTN Plan Verification by Exploiting Data Structures from HTN Planning. 1489-1496 - Daxin Liu, Qinfei Huang, Vaishak Belle, Gerhard Lakemeyer:
Verifying Belief-Based Programs via Symbolic Dynamic Programming. 1497-1504 - Haolin Liu, Xinyuan Lian, Dengji Zhao:
Diffusion Multi-Unit Auctions with Diminishing Marginal Utility Buyers. 1505-1512 - Jiacheng Liu, Feilong Tang, Xiaofeng Hou:
Label Aggregation with Self-Supervision Enhanced Graph Transformer. 1513-1520 - Junnan Liu, Qianren Mao, Jianxin Li, Xingcheng Fu, Zheng Wang:
POINE2: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs. 1521-1528 - Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua:
Multilingual Lexical Simplification via Paraphrase Generation. 1529-1535 - Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou:
QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning. 1536-1543 - Xiao Liu, Xiangyu Liao, Xiuya Shi, Linbo Qing, Chao Ren:
Efficient Information Modulation Network for Image Super-Resolution. 1544-1551 - Xueyi Liu, Rui Hou, Yanglei Gan, Da Luo, Changlin Li, Xiaojun Shi, Qiao Liu:
Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification. 1552-1559 - Yan Liu, Ying He, Zhong Ming, F. Richard Yu:
A Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions. 1560-1567 - Yang Liu, Huanqin Ping, Dong Zhang, Qingying Sun, Shoushan Li, Guodong Zhou:
Comment-Aware Multi-Modal Heterogeneous Pre-Training for Humor Detection in Short-Form Videos. 1568-1575 - Zhaoshuai Liu, Aiting Liang, Yongmei Liu:
Epistemic JAADL: A Modal Logic for Joint Abilities with Imperfect Information. 1576-1584 - Zhiyuan Liu, Chunjie Cao, Fangjian Tao, Jingzhang Sun:
Revisiting Graph Contrastive Learning for Anomaly Detection. 1585-1592 - Yang Lou, Qun Song, Qian Xu, Rui Tan, Jianping Wang:
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving. 1593-1600 - Anand Louis, Meghana Nasre, Prajakta Nimbhorkar, Govind S. Sankar:
Online Algorithms for Matchings with Proportional Fairness Constraints and Diversity Constraints. 1601-1608 - Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu:
Degradation-Resistant Offline Optimization via Accumulative Risk Control. 1609-1616 - Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-Agent Cooperative Games Using Belief Map Assisted Training. 1617-1624 - Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao:
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. 1625-1632 - Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li:
Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction. 1633-1640 - Yuan Luo:
Dynamic Workload-Aware Bike Rebalancing for Bike-Sharing Systems. 1641-1647 - Yutian Luo, Yizhao Gao, Haoran Wu, Ruitao Ma, Zhiwu Lu:
R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. 1648-1655 - Leilei Ma, Dengdi Sun, Lei Wang, Haifeng Zhao, Bin Luo:
Semantic-Aware Dual Contrastive Learning for Multi-Label Image Classification. 1656-1663 - Yuan Ma, Yiqiang Chen, Han Yu, Yang Gu, Shijie Wen, Shuai Guo:
Letting Go of Self-Domain Awareness: Multi-Source Domain-Adversarial Generalization via Dynamic Domain-Weighted Contrastive Transfer Learning. 1664-1671 - Jaglike Makkar, Shweta Bhumikaa Jain, Shivam Gupta:
MFC: A Multishot Approach to Federated Data Clustering. 1672-1679 - Lawrence Mandow, José-Luis Pérez-de-la-Cruz:
Improving Bi-Objective Shortest Path Search with Early Pruning. 1680-1687 - Yuzhao Mao, Di Lu, Yang Zhang, Xiaojie Wang:
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition. 1688-1695 - Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo:
Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty. 1696-1703 - Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam:
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. 1704-1711 - Ziyao Meng, Xue Gu, Qiang Shen, Adriano Tavares, Sandro Pinto, Hao Xu:
H2T-FAST: Head-to-Tail Feature Augmentation by Style Transfer for Long-Tailed Recognition. 1712-1719 - Jan Mielniczuk, Adam Wawrzenczyk:
One-Class Classification Approach to Variational Learning from Biased Positive Unlabeled Data. 1720-1727 - Majid Mohammadi, Ilaria Tiddi, Annette ten Teije:
A Local Non-Additive Framework for Explaining Black-Box Predictive Models. 1728-1738 - Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula, Antoine Souloumiac:
Multi-Source Domain Adaptation Through Dataset Dictionary Learning in Wasserstein Space. 1739-1746 - Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli:
Graph-Based Abstractive Summarization of Extracted Essential Knowledge for Low-Resource Scenarios. 1747-1754 - Chunyan Mu, Jun Pang:
On Observability Analysis in Multiagent Systems. 1755-1762 - Avraham Natan, Roni Stern, Meir Kalech:
Blame Attribution for Multi-Agent Path Finding Execution Failures. 1763-1770 - Frank Neumann, Carsten Witt:
Fast Pareto Optimization Using Sliding Window Selection. 1771-1778 - Andreas Niskanen, Isabelle Kuhlmann, Matthias Thimm, Matti Järvisalo:
MaxSAT-Based Inconsistency Measurement. 1779-1786 - Steven Bilaj, Amir Rezaei Balef, Setareh Maghsudi:
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards. 1787-1794 - Seongwoong Oh, Woohwan Jung, Kyuseok Shim:
THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions. 1795-1802 - Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak:
Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. 1803-1810 - Pedro Orvalho, Jelle Piepenbrock, Mikolás Janota, Vasco Manquinho:
Graph Neural Networks for Mapping Variables Between Programs. 1811-1818 - Kristýna Pantucková, Roman Barták:
Using Earley Parser for Recognizing Totally Ordered Hierarchical Plans. 1819-1826 - Ioannis Papantonis, Vaishak Belle:
Transparency in Sum-Product Network Decompilation. 1827-1834 - Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybala, Andrzej Urbanik, Rafal Obuchowicz, Zbislaw Tabor, Bartosz Zielinski:
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer. 1835-1842 - Eunkyung Park, Raymond K. Wong, Victor W. Chu:
Story Ending Generation Using Commonsense Casual Reasoning and Graph Convolutional Networks. 1843-1850 - Jaeil Park, Sung-Bae Cho:
Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection. 1851-1858 - Timothy Parker, Umberto Grandi, Emiliano Lorini:
Anticipating Responsibility in Multiagent Planning. 1859-1866 - Ethan Pedersen, Jacob W. Crandall:
AlegAATr the Bandit. 1867-1874 - Hao Peng, Jie Yang:
Stock Movement Prediction via Attention-Aware Multi-Order Relation Graph Neural Network. 1875-1881 - Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo:
Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. 1882-1889 - Giuseppe Pirrò:
Overlay Neural Networks for Heterophilous Graphs. 1890-1897 - Alberto Pozanco, Daniel Borrajo, Manuela Veloso:
Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. 1898-1905 - Jie Qin, Yueming Lyu, Xingang Wang:
Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. 1906-1913 - Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang:
Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. 1914-1921 - Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski:
The Problem of Coherence in Natural Language Explanations of Recommendations. 1922-1929 - Edward Raff, Mark McLean, James Holt:
An Easy Rejection Sampling Baseline via Gradient Refined Proposals. 1930-1937 - Resmi RamachandranPillai, Md. Fahim Sikder, Fredrik Heintz:
Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. 1938-1945 - Hao Ren, Xingsong Liu, Junjian Huang, Ru Wan, Jian Pu, Hong Lu:
Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation. 1946-1953 - João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. 1954-1961 - Simon Rittel, Sebastian Tschiatschek:
Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning. 1962-1969 - Joel Rixen, Matthias Renz:
Seq2Space: A Lightweight Solution for Sequence Modelling. 1970-1977 - Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson:
SUDS: Sanitizing Universal and Dependent Steganography. 1978-1985 - Patrick Rodler:
How Should I Compute My Candidates? A Taxonomy and Classification of Diagnosis Computation Algorithms. 1986-1993 - David Rother, Thomas H. Weisswange, Jan Peters:
Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. 1994-2001 - Soumyadeep Roy, Jonas Wallat, Sowmya S. Sundaram, Wolfgang Nejdl, Niloy Ganguly:
GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning. 2002-2009 - Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. 2010-2017 - Yu-Ping Ruan, Taihao Li:
Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. 2018-2024 - Fabrizio Russo, Francesca Toni:
Causal Discovery and Knowledge Injection for Contestable Neural Networks. 2025-2032 - Federico Sabbatini, Roberta Calegari:
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score. 2033-2040 - Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee:
Rationale-Guided Few-Shot Classification to Detect Abusive Language. 2041-2048 - Yakoub Salhi, Michael Sioutis:
A Paraconsistency Framework for Inconsistency Handling in Qualitative Spatial and Temporal Reasoning. 2049-2056 - Pedram Salimi, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon:
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method. 2057-2064 - Tommaso Salvatori, Beren Millidge, Yuhang Song, Rafal Bogacz, Thomas Lukasiewicz:
Associative Memories in the Feature Space. 2065-2072 - Daji Landis, Nikolaj I. Schwartzbach:
Stackelberg Attacks on Auctions and Blockchain Transaction Fee Mechanisms. 2073-2080 - Javier Segovia-Aguas, Jonathan Ferrer-Mestres, Sergio Jiménez Celorrio:
Synthesis of Procedural Models for Deterministic Transition Systems. 2081-2088 - Alessio Serra, Fabio Carrara, Maurizio Tesconi, Fabrizio Falchi:
The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-Modal Distillation. 2089-2096 - Tal Shahar, Ronen I. Brafman:
Reinforcement Learning in RDPs by Combining Deep RL with Automata Learning. 2097-2104 - Jonathan Shaki, Sarit Kraus, Michael J. Wooldridge:
Cognitive Effects in Large Language Models. 2105-2112 - Garima Shakya, Sai Koti Reddy Danda, Swaprava Nath, Pankaj Dayama, Surya Shravan Kumar Sajja:
Truthful and Equitable Lateral Transshipment in Multi-Retailer Systems. 2113-2120 - Garima Shakya, Makoto Yokoo:
Balancing Fairness and Efficiency in 3D Repeated Matching in Ridesharing. 2121-2128 - Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu:
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. 2129-2137 - Wenhang Shi, Yiren Chen, Zhe Zhao, Wei Lu, Kimmo Yan, Xiaoyong Du:
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning. 2138-2145 - Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn:
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. 2146-2153 - Minho Sim, Young-Jun Lee, Dongkun Lee, Jongwhoa Lee, Ho-Jin Choi:
A Simple Debiasing Framework for Out-of-Distribution Detection in Human Action Recognition. 2154-2161 - Bhavyajeet Singh, Aditya Hari, Rahul Mehta, Tushar Abhishek, Manish Gupta, Vasudeva Varma:
XFLT: Exploring Techniques for Generating Cross Lingual Factually Grounded Long Text. 2162-2169 - Davide Soldà, Ignacio D. Lopez-Miguel, Ezio Bartocci, Thomas Eiter:
Progression for Monitoring in Temporal ASP. 2170-2177 - Hossein Soltani, Ahad N. Zehmakan, Ataabak B. Hushmandi:
Minimum Target Sets in Non-Progressive Threshold Models: When Timing Matters. 2178-2185 - Jeroen Paul Spaans, Dragan Doder:
Graduality in Probabilistic Argumentation Frameworks. 2186-2193 - Simon Ståhlberg:
Lifted Successor Generation by Maximum Clique Enumeration. 2194-2201 - Janusz A. Starzyk, Marcin Kowalik, Adrian Horzyk:
Motivated Agent with Semantic Memory. 2202-2209 - Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. 2210-2217 - Chaoqun Su, Chenwang Wu, Defu Lian:
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. 2218-2225 - K. Subramani, Piotr Wojciechowski:
Unit Refutations of Difference Constraint Systems. 2226-2233 - Shashank Subramanian, Robert M. Kirby, Michael W. Mahoney, Amir Gholami:
Adaptive Self-Supervision Algorithms for Physics-Informed Neural Networks. 2234-2241 - Ankang Sun, Bo Li:
On the Price of Fairness in the Connected Discrete Cake Cutting Problem. 2242-2249 - Jingyuan Sun, Mingxiao Li, Marie-Francine Moens:
Decoding Realistic Images from Brain Activity with Contrastive Self-Supervision and Latent Diffusion. 2250-2257 - Jingyuan Sun, Xiaohan Zhang, Marie-Francine Moens:
Tuning in to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language. 2258-2265 - Subrat Kumar Swain, Vireshwar Kumar, Dan Dongseong Kim, Guangdong Bai:
SPAT: Semantic-Preserving Adversarial Transformation for Perceptually Similar Adversarial Examples. 2266-2273 - Anna Sztyber-Betley, Filip Kolodziej, Piotr Duszak:
BridgeHand2Vec Bridge Hand Representation. 2274-2281 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder:
Anytime Index-Based Search Method for Large-Scale Simultaneous Coalition Structure Generation and Assignment. 2282-2289 - Jinyang Tai, Yike Guo:
Unsupervised Zero-Shot Learning for Achieve Cross-Modal Alignment with Counterfactuals. 2290-2297 - Kahou Tam, Li Li, Yan Zhao, Chengzhong Xu:
FedCoop: Cooperative Federated Learning for Noisy Labels. 2298-2306 - Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang:
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. 2307-2314 - Xing Tan, Pascal Bercher:
Intractability of Optimal Multi-Agent Pathfinding on Directed Graphs. 2315-2321 - Yandan Tan, Hongbin Zhu, Jie Wu, Hongfeng Chai:
Tab-Attention: Self-Attention-Based Stacked Generalization for Imbalanced Credit Default Prediction. 2322-2329 - Jiaqi Tang, Xiaogang Xu, Sixing Hu, Ying-Cong Chen:
High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation. 2330-2337 - Zhongzheng Tang, Chenhao Wang:
Improved Analysis of Greedy Algorithm on k-Submodular Knapsack. 2338-2345 - Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Usman Naseem, Mehwish Nasim:
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. 2346-2353 - Abhisek Tiwari, Aman Bhansali, Sriparna Saha, Pushpak Bhattacharyya, Preeti Verma, Minakshi Dhar:
Local context is not enough! Towards Query Semantic and Knowledge Guided Multi-Span Medical Question Answering. 2354-2361 - Geng Tu, Bin Liang, Xiucheng Lyu, Lin Gui, Ruifeng Xu:
Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection. 2362-2369 - Nguyen Anh Tu, Hoang Thi Thu Uyen, Tu Minh Phuong, Ngo Xuan Bach:
Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation. 2370-2377 - Svitlana Vakulenko, Bill Byrne, Adrià de Gispert:
Uniform Training and Marginal Decoding for Multi-Reference Question-Answer Generation. 2378-2385 - Iván Vallés-Pérez, Grzegorz Beringer, Piotr Bilinski, Gary Cook, Roberto Barra-Chicote:
SCRAPS: Speech Contrastive Representations of Acoustic and Phonetic Spaces. 2386-2393 - Rahul Vashisht, Harish G. Ramaswamy:
On the Learning Dynamics of Attention Networks. 2394-2401 - Stylianos Loukas Vasileiou, Borong Xu, William Yeoh:
A Logic-Based Framework for Explainable Agent Scheduling Problems. 2402-2410 - Stylianos Loukas Vasileiou, William Yeoh:
PLEASE: Generating Personalized Explanations in Human-Aware Planning. 2411-2418 - Lara Verheyen, Jérôme Botoko Ekila, Jens Nevens, Paul Van Eecke, Katrien Beuls:
Neuro-Symbolic Procedural Semantics for Reasoning-Intensive Visual Dialogue Tasks. 2419-2426 - Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou:
Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. 2427-2434 - Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu:
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. 2435-2442 - Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu:
An Empirical Study of Retrieval-Enhanced Graph Neural Networks. 2443-2450 - Haitao Wang, Hejun Wu:
Improving Visual Reinforcement Learning with Discrete Information Bottleneck Approach. 2451-2458 - Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu:
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? 2459-2466 - Jian Wang, Haitao Wang, Hejun Wu:
VMBRL3: A Simple Visual Model-Based Reinforcement Learning Framework for Continuous Control. 2467-2474 - Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. 2475-2482 - Kunyu Wang, Juluan Shi, Wenxuan Wang:
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations. 2483-2490 - Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang:
Towards Legal Judgment Summarization: A Structure-Enhanced Approach. 2491-2498 - Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang:
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction. 2499-2506 - Sen Wang, Jin Zheng:
MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient. 2507-2516 - Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-Shot Learning with Auxiliary Sets. 2517-2524 - Tianxu Wang, Yue Fan, Xiuli Ma:
Attention Based Models for Cell Type Classification on Single-Cell RNA-Seq Data. 2525-2532 - Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, Siwei Lyu:
GAN-Generated Faces Detection: A Survey and New Perspectives. 2533-2542 - Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. 2543-2551 - Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann:
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. 2552-2559 - Xinyi Wang, Lu Sun, Canh Hao Nguyen, Hiroshi Mamitsuka:
Multiplicative Sparse Tensor Factorization for Multi-View Multi-Task Learning. 2560-2567 - Xun Wang, Haonan Chen, Junming Yang, Zhuzhong Qian, Bolei Zhang:
SDV: Simple Double Validation Model-Based Offline Reinforcement Learning. 2568-2574 - Yu Wang, Heng Zhang, Guifei Jiang:
A Convolutional Neural Network Approach to General Game Playing. 2575-2582 - Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song:
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. 2583-2590 - Yuxi Wang, Yuan Luo:
WeaGAN: Weather-Aware Graph Attention Network for Traffic Prediction. 2591-2598 - Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu:
CCPO: Conservatively Constrained Policy Optimization Using State Augmentation. 2599-2606 - Eyal Weiss, Ariel Felner, Gal A. Kaminka:
A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates. 2607-2614 - Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li:
Normalized Stochastic Heavy Ball with Adaptive Momentum. 2615-2622 - Julia Wichlacz, Daniel Höller, Daniel Fiser, Jörg Hoffmann:
A Landmark-Cut Heuristic for Lifted Optimal Planning. 2623-2630 - Patryk Wielopolski, Maciej Zieba:
TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. 2631-2638 - Nic Wilson:
On the Variation of Max Regret with Respect to the Scaling of the Objectives. 2639-2646 - Nic Wilson:
Enforcing Natural Properties of Choice Functions, with Application for Combination. 2647-2654 - David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. 2655-2662 - Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs:
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing. 2663-2671 - Lilei Wu, Jie Liu:
Contrastive Learning with Diverse Samples. 2672-2679 - Lilei Wu, Zhen Wang, Jie Liu:
Adaptive Self-Supervised Continual Learning. 2680-2687 - Quanwei Wu, Bo Huang, Yi Wang, Zhiwei Ke, Da Luo:
Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training. 2688-2695 - Sheng Wu, Wenhang Ge, Jiong Wu, Jingke Meng, Huang Zhang:
Online Privacy Preservation for Camera-Incremental Person Re-Identification. 2696-2703 - Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang:
Enhancing Text Generation with Cooperative Training. 2704-2711 - Weixin Wu, Hankz Hankui Zhuo:
DPBERT: Efficient Inference for BERT Based on Dynamic Planning. 2712-2719 - Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu:
Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. 2720-2727 - Xiaohong Xiang, Fuyuan Zhang, Xin Deng, Xiaoyu Ding:
Visualization Enhancement of Saliency Methods Based on the Sliding Window Mechanism. 2728-2735 - Mingyu Xiao, Guixin Lin, Bakh Khoussainov, Yuchao Song:
Characterizations of Network Auctions and Generalizations of VCG. 2736-2743 - Qingfa Xiao, Shuangyin Li, Lei Chen:
Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations. 2744-2751 - Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou:
Identifying Helpful Learnwares Without Examining the Whole Market. 2752-2759 - Zaipeng Xie, Yufeng Zhang, Chentai Qiao, Sitong Shen:
IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning. 2760-2767 - Zikai Xie, Xenophon Evangelopoulos, Joseph C. R. Thacker, Andrew I. Cooper:
Domain Knowledge Injection in Bayesian Search for New Materials. 2768-2775 - Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu:
Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. 2776-2783 - Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su:
Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. 2784-2791 - Qiongkai Xu, Trevor Cohn, Olga Ohrimenko:
Fingerprint Attack: Client De-Anonymization in Federated Learning. 2792-2801 - Yongfeng Huang, Xin Chen, Lin Zhang:
Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training. 2802-2809 - Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu:
Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. 2810-2817 - Nitin Yadav, Sebastian Sardiña:
A Declarative Approach to Compact Controllers for FOND Planning via Answer Set Programming. 2818-2825 - Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann:
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties. 2826-2833 - Chunjin Yang, Fanman Meng, Shuai Chen, Mingyu Liu, Runtong Zhang:
Instance-Wise Adaptive Tuning and Caching for Vision-Language Models. 2834-2841 - Hao-Wei Yang, Ming-Yi Chang, Chih-Ya Shen:
Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning. 2842-2849 - Junming Yang, Xingguo Chen, Shengyuan Wang, Bolei Zhang:
Model-Based Offline Policy Optimization with Adversarial Network. 2850-2857 - Qisong Yang, Thiago D. Simão, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan:
Reinforcement Learning by Guided Safe Exploration. 2858-2865 - Tianwen Yang, Leixiong Huang, Ronghua Luo:
Data-Free Class-Incremental Learning with Implicit Representation of Prototypes. 2866-2873 - Shuqin Ye, Zepeng Zhai, Ruifan Li:
Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction. 2874-2881 - Yuxuan Ye, Edwin Simpson:
Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning. 2882-2889 - Hong Yin, Jiang Zhong, Qizhu Dai:
Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. 2890-2897 - Xiang Yin, Nico Potyka, Francesca Toni:
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks. 2898-2905 - Julio Christian Young, Uchenna Akujuobi:
CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis. 2906-2913 - Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li:
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. 2914-2921 - Guanbao Yu, Umer Siddique, Paul Weng:
Fair Deep Reinforcement Learning with Preferential Treatment. 2922-2929 - Hong Yu, Zhiyue Wang, Yuanqiu Liu, Han Liu:
Boosting Visual Question Answering Through Geometric Perception and Region Features. 2930-2937 - Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li:
Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation. 2938-2945 - Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu:
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning. 2946-2953 - Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen:
Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. 2954-2961 - Yuhong He, Guangyu Wang, Lin Ma, Haifeng Li:
Micro-Expression Spotting Method Based on AU Prototype. 2962-2969 - Jianxiang Zang, Hui Liu:
Improving Text Semantic Similarity Modeling Through a 3D Siamese Network. 2970-2977 - Nicholas Zerbel, Kagan Tumer:
Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. 2978-2985 - Xiao Zhan, Stefan Sarkadi, Jose M. Such:
Privacy-Enhanced AI Assistants Based on Dialogues and Case Similarity. 2986-2993 - Fu Zhang, Pengpeng Qiu, Tong Shen, Jingwei Cheng:
Multi-Aspect Enhanced Convolutional Neural Networks for Knowledge Graph Completion. 2994-3001 - Guangxin Zhang, Shu Chen:
Siamese Representation Learning for Unsupervised Relation Extraction. 3002-3009 - Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan:
Information Bound and Its Applications in Bayesian Neural Networks. 3010-3017 - Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li:
Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. 3018-3025 - Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He:
Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning. 3026-3033 - Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li:
Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture. 3034-3041 - Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss:
Individual Fairness Under Uncertainty. 3042-3049 - Xinyue Zhang, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang, Guitao Cao:
DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition. 3050-3057 - Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. 3058-3065 - Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang:
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. 3066-3073 - Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin:
Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. 3074-3082 - Chuang Zhao, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Qiang Cao:
Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning. 3083-3090 - Guochao Zhao, Yan Guo, Jia Tang, Zongwei Zhu, Guixing Wu:
MIATS: A Chinese Spelling Error Correction Algorithm Based on Multimodal Information Alignment of Three-Towers Structure. 3091-3098 - Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng:
XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. 3099-3106 - Yi Zhao, Ningping Mou, Yunjie Ge, Qian Wang:
Improving Adversarial Transferability with Ghost Samples. 3107-3114 - Yiming Zhong, Haifeng Sun, Jiachang Hao, Jing Wang, Cheng Zhou, Qi Qi, Jingyu Wang, Jianxin Liao:
Turn on the Right Track: Weakly Supervised Video Moment Retrieval with Self-Improving Query Reconstruction. 3115-3122 - Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen:
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. 3123-3130 - Ziyuan Zhou, Guanjun Liu:
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents. 3131-3139 - Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi:
Deep Co-Training for Cross-Modality Medical Image Segmentation. 3140-3147 - Ying Zhu, Bo Wang, Dongming Zhao, Kun Huang, Zhuoxuan Jiang, Ruifang He, Yuexian Hou:
Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation. 3148-3155 - Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli:
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. 3156-3164 - Xuechao Zou, Kai Li, Junliang Xing, Pin Tao, Yachao Cui:
PMAA: A Progressive Multi-Scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-Temporal Satellite Imagery. 3165-3172 - Gianluca Apriceno, Luca Erculiani, Andrea Passerini:
A Neuro-Symbolic Approach for Non-Intrusive Load Monitoring. 3175-3181 - Marco Bronzini, Erich Robbi, Paolo Viappiani, Andrea Passerini:
Environmentally-Aware Bundle Recommendation Using the Choquet Integral. 3182-3189 - Viet-Man Le, Thi Ngoc Trang Tran, Alexander Felfernig:
FMTESTING: A FEATUREIDE Plug-in for Automated Feature Model Analysis and Diagnosis. 3190-3195 - Marco Calamo, Francesca De Luzi, Mattia Macrì, Tommaso Mencattini, Massimo Mecella:
CICERO: A GPT2-Based Writing Assistant to Investigate the Effectiveness of Specialized LLMs' Applications in e-Justice. 3196-3203 - Matthias Kerzel, Julia Markert, Emad Aghajanzadeh, Stephanie von Riegen, Lothar Hotz, Pascal Krenz:
Acquisition and Formalization of Tacit Knowledge for Value Chain Generation in Local Production Networks. 3204-3211 - Neeraj Agrawal, Priyanka Bhatt:
Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care. 3212-3217 - Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach:
Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. 3218-3225 - Barbara Rychalska, Igor Sieradzki, Jacek Dabrowski:
The Monad Platform - Temporal Aspects in Behavioral Modeling. 3226-3232 - Amit Sultan, Avi Segal, Guy Shani, Darlene Cavalier, Kobi Gal:
Online Evaluation of Tail Project Boosting in Citizen Science. 3233-3240 - Julian Vexler, Stefan Kramer:
Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework. 3241-3248
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