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ORCIDEXTRAAMAS@AAMAS 2021: Virtual Event, UK
- Davide Calvaresi
, Amro Najjar, Michael Winikoff, Kary Främling:
Explainable and Transparent AI and Multi-Agent Systems - Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12688, Springer 2021, ISBN 978-3-030-82016-9
XAI and Machine Learning
- Lora Fanda, Yashin Dicente Cid, Pawel J. Matusz, Davide Calvaresi:
To Pay or Not to Pay Attention: Classifying and Interpreting Visual Selective Attention Frequency Features. 3-17 - Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors. 18-38 - Kary Främling, Marcus Westberg, Martin Jullum, Manik Madhikermi, Avleen Malhi:
Comparison of Contextual Importance and Utility with LIME and Shapley Values. 39-54 - Kary Främling, Samanta Knapic, Avleen Malhi:
ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility. 55-62 - Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search. 63-82 - Sule Anjomshoae, Lili Jiang, Kary Främling:
Visual Explanations for DNNs with Contextual Importance. 83-96 - Alaa Daoud, Hiba Alqasir, Yazan Mualla, Amro Najjar, Gauthier Picard, Flavien Balbo:
Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets. 97-115
XAI Vision, Understanding, Deployment and Evaluation
- Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman:
A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable. 119-138 - Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi:
Towards Explainable Visionary Agents: License to Dare and Imagine. 139-157 - Yongxin Zhou, Matthieu Boussard, Agnès Delaborde:
Towards an XAI-Assisted Third-Party Evaluation of AI Systems: Illustration on Decision Trees. 158-172 - Sviatlana Höhn, Niko Faradouris:
What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems. 173-186
XAI Applications
- Jean-Jacques Ohana, Steve Ohana, Eric Benhamou, David Saltiel, Beatrice Guez:
Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets. 189-207 - Egberdien van der Peijl, Amro Najjar, Yazan Mualla, Thiago Jorge Bourscheid, Yolanda Spinola-Elias, Daniel Karpati, Sana Nouzri:
Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Project. 208-222 - Amber E. Zelvelder, Marcus Westberg, Kary Främling:
Assessing Explainability in Reinforcement Learning. 223-240
XAI Logic and Argumentation
- Kristijonas Cyras, Myles Lee, Dimitrios Letsios:
Schedule Explainer: An Argumentation-Supported Tool for Interactive Explanations in Makespan Scheduling. 243-259 - Nourhan Ehab, Haythem O. Ismail:
Towards Explainable Practical Agency - A Logical Perspective. 260-279 - Timotheus Kampik, Dov M. Gabbay:
Explainable Reasoning in Face of Contradictions: From Humans to Machines. 280-295 - Tomer Libal, Tereza Novotná:
Towards Transparent Legal Formalization. 296-313 - You Cheng, Beishui Liao, Jieting Luo:
Applying Abstract Argumentation to Normal-Form Games. 314-328
Decentralized and Heterogeneous XAI
- Davide Calvaresi, Giovanni Ciatto, Amro Najjar, Reyhan Aydogan, Leon van der Torre, Andrea Omicini, Michael Schumacher:
Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge. 331-343
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