- Davide Calvaresi
, Amro Najjar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Yazan Mualla, Kary Främling:
Explainable and Transparent AI and Multi-Agent Systems - 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers. Lecture Notes in Computer Science 14127, Springer 2023, ISBN 978-3-031-40877-9 [contents] - 2022
- Davide Beretta, Stefania Monica, Federico Bergenti:
Recent Neural-Symbolic Approaches to ILP Based on Templates. EXTRAAMAS@AAMAS 2022: 75-89 - Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung:
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography. EXTRAAMAS@AAMAS 2022: 3-18 - Rachele Carli, Amro Najjar, Davide Calvaresi:
Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation. EXTRAAMAS@AAMAS 2022: 204-220 - Victor Contreras, Michael Schumacher, Davide Calvaresi:
Integration of Local and Global Features Explanation with Global Rules Extraction and Generation Tools. EXTRAAMAS@AAMAS 2022: 19-37 - Jasmina Gajcin, Ivana Dusparic:
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. EXTRAAMAS@AAMAS 2022: 38-56 - Blazej Kuzniacki, Marco Almada, Kamil Tylinski, Lukasz Górski:
Requirements for Tax XAI Under Constitutional Principles and Human Rights. EXTRAAMAS@AAMAS 2022: 221-238 - Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors. EXTRAAMAS@AAMAS 2022: 90-108 - Avleen Malhi, Vlad Apopei, Manik Madhikermi, Mandeep, Kary Främling:
Smartphone Based Grape Leaf Disease Diagnosis and Remedial System Assisted with Explanations. EXTRAAMAS@AAMAS 2022: 57-71 - Wim De Mulder:
The Use of Partial Order Relations and Measure Theory in Developing Objective Measures of Explainability. EXTRAAMAS@AAMAS 2022: 173-186 - Tereza Novotná, Tomer Libal:
An Evaluation of Methodologies for Legal Formalization. EXTRAAMAS@AAMAS 2022: 189-203 - Michele Persiani, Thomas Hellström:
The Mirror Agent Model: A Bayesian Architecture for Interpretable Agent Behavior. EXTRAAMAS@AAMAS 2022: 111-123 - Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
Semantic Web-Based Interoperability for Intelligent Agents with PSyKE. EXTRAAMAS@AAMAS 2022: 124-142 - Vandita Singh, Kristijonas Cyras, Rafia Inam:
Explainability Metrics and Properties for Counterfactual Explanation Methods. EXTRAAMAS@AAMAS 2022: 155-172 - Liuwen Yu, Dov M. Gabbay:
Case-Based Reasoning via Comparing the Strength Order of Features. EXTRAAMAS@AAMAS 2022: 143-151 - Davide Calvaresi, Amro Najjar, Michael Winikoff, Kary Främling:
Explainable and Transparent AI and Multi-Agent Systems - 4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9-10, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13283, Springer 2022, ISBN 978-3-031-15564-2 [contents] - 2021
- Yongxin Zhou, Matthieu Boussard, Agnès Delaborde:
Towards an XAI-Assisted Third-Party Evaluation of AI Systems: Illustration on Decision Trees. EXTRAAMAS@AAMAS 2021: 158-172 - Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search. EXTRAAMAS@AAMAS 2021: 63-82 - Sule Anjomshoae, Lili Jiang, Kary Främling:
Visual Explanations for DNNs with Contextual Importance. EXTRAAMAS@AAMAS 2021: 83-96 - 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. EXTRAAMAS@AAMAS 2021: 331-343 - You Cheng, Beishui Liao, Jieting Luo:
Applying Abstract Argumentation to Normal-Form Games. EXTRAAMAS@AAMAS 2021: 314-328 - Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi:
Towards Explainable Visionary Agents: License to Dare and Imagine. EXTRAAMAS@AAMAS 2021: 139-157 - Kristijonas Cyras, Myles Lee, Dimitrios Letsios:
Schedule Explainer: An Argumentation-Supported Tool for Interactive Explanations in Makespan Scheduling. EXTRAAMAS@AAMAS 2021: 243-259 - Alaa Daoud, Hiba Alqasir, Yazan Mualla, Amro Najjar, Gauthier Picard, Flavien Balbo:
Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets. EXTRAAMAS@AAMAS 2021: 97-115 - Nourhan Ehab, Haythem O. Ismail:
Towards Explainable Practical Agency - A Logical Perspective. EXTRAAMAS@AAMAS 2021: 260-279 - 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. EXTRAAMAS@AAMAS 2021: 3-17 - Kary Främling, Samanta Knapic, Avleen Malhi:
ciu.image: An R Package for Explaining Image Classification with Contextual Importance and Utility. EXTRAAMAS@AAMAS 2021: 55-62 - Kary Främling, Marcus Westberg, Martin Jullum, Manik Madhikermi, Avleen Malhi:
Comparison of Contextual Importance and Utility with LIME and Shapley Values. EXTRAAMAS@AAMAS 2021: 39-54 - Sviatlana Höhn, Niko Faradouris:
What Does It Cost to Deploy an XAI System: A Case Study in Legacy Systems. EXTRAAMAS@AAMAS 2021: 173-186 - Timotheus Kampik, Dov M. Gabbay:
Explainable Reasoning in Face of Contradictions: From Humans to Machines. EXTRAAMAS@AAMAS 2021: 280-295
