- 2024
- Richard Albrecht
, Joris Hulstijn, Igor Tchappi, Amro Najjar:
Towards Interactive and Social Explainable Artificial Intelligence for Digital History. EXTRAAMAS 2024: 189-202 - Mattijs Baert, Sam Leroux, Pieter Simoens:
Learning Temporal Task Specifications From Demonstrations. EXTRAAMAS 2024: 81-98 - Berk Buzcu, Emre Kuru, Davide Calvaresi, Reyhan Aydogan:
Evaluation of the User-Centric Explanation Strategies for Interactive Recommenders. EXTRAAMAS 2024: 21-38 - Berk Buzcu, Yvan Pannatier, Reyhan Aydogan, Michael Ignaz Schumacher, Jean-Paul Calbimonte, Davide Calvaresi:
A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study. EXTRAAMAS 2024: 58-78 - Rachele Carli, Davide Calvaresi:
The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy. EXTRAAMAS 2024: 224-241 - Victor Contreras, Michael Schumacher, Davide Calvaresi:
Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models. EXTRAAMAS 2024: 155-183 - Sumanta Dey, Praveen Verma, Pallab Dasgupta, Soumyajit Dey:
An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-Side Uncertainties. EXTRAAMAS 2024: 116-136 - Kary Främling, Ioan-Vlad Apopei, Gustav Grund Pihlgren, Avleen Malhi:
py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and Utility. EXTRAAMAS 2024: 184-188 - Selim Karaoglu, Marina Katoh, Titash Majumdar, Ethan Beaird, Feyza Merve Hafizoglu, Sandip Sen:
Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problems. EXTRAAMAS 2024: 3-20 - Bryan Lavender, Sandip Sen:
Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models. EXTRAAMAS 2024: 137-151 - Thiago Freitas dos Santos, Nardine Osman, Marco Schorlemmer:
Can Interpretability Layouts Influence Human Perception of Offensive Sentences? EXTRAAMAS 2024: 39-57 - Timo Speith, Jing Xu:
Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China. EXTRAAMAS 2024: 205-223 - Mark Towers, Yali Du, Christopher T. Freeman, Timothy J. Norman:
Temporal Explanations of Deep Reinforcement Learning Agents. EXTRAAMAS 2024: 99-115 - Davide Calvaresi, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling:
Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024, Revised Selected Papers. Lecture Notes in Computer Science 14847, Springer 2024, ISBN 978-3-031-70073-6 [contents] - 2023
- Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini:
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing. EXTRAAMAS 2023: 97-115 - Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Mining and Validating Belief-Based Agent Explanations. EXTRAAMAS 2023: 3-17 - Ahmad Alelaimat, Aditya Ghose, Hoa Khanh Dam:
Leveraging Imperfect Explanations for Plan Recognition Problems. EXTRAAMAS 2023: 231-248 - Rachele Carli, Davide Calvaresi:
Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction. EXTRAAMAS 2023: 249-269 - Giovanni Ciatto, Matteo Magnini, Berk Buzcu, Reyhan Aydogan, Andrea Omicini:
A General-Purpose Protocol for Multi-agent Based Explanations. EXTRAAMAS 2023: 38-58 - Victor Contreras, Andrea Bagante, Niccolò Marini, Michael Schumacher, Vincent Andrearczyk, Davide Calvaresi:
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification. EXTRAAMAS 2023: 187-211 - Sumanta Dey, Sharat Bhat, Pallab Dasgupta, Soumyajit Dey:
Imperative Action Masking for Safe Exploration in Reinforcement Learning. EXTRAAMAS 2023: 130-142 - Kary Främling:
Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility. EXTRAAMAS 2023: 180-184 - Matija Franklin, David A. Lagnado, Chulhong Min, Akhil Mathur, Fahim Kawsar:
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach. EXTRAAMAS 2023: 270-280 - Joris Hulstijn, Igor Tchappi, Amro Najjar, Reyhan Aydogan:
Metrics for Evaluating Explainable Recommender Systems. EXTRAAMAS 2023: 212-230 - Andreas Kontogiannis, George A. Vouros:
Inherently Interpretable Deep Reinforcement Learning Through Online Mimicking. EXTRAAMAS 2023: 160-179 - Saaduddin Mahmud, Samer B. Nashed, Claudia V. Goldman, Shlomo Zilberstein:
Estimating Causal Responsibility for Explaining Autonomous Behavior. EXTRAAMAS 2023: 78-94 - Federico Sabbatini, Roberta Calegari:
Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors. EXTRAAMAS 2023: 116-129 - Fumito Uwano, Keiki Takadama:
Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach. EXTRAAMAS 2023: 143-159 - Michael Winikoff, Galina Sidorenko:
Evaluating a Mechanism for Explaining BDI Agent Behaviour. EXTRAAMAS 2023: 18-37 - Yifan Xu, Joe Collenette, Louise A. Dennis, Clare Dixon:
Dialogue Explanations for Rule-Based AI Systems. EXTRAAMAS 2023: 59-77
