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ORCIDEXTRAAMAS@AAMAS 2022: Virtual Event
- 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
Explainable Machine Learning
- 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. 3-18 - Victor Contreras, Michael Schumacher, Davide Calvaresi:
Integration of Local and Global Features Explanation with Global Rules Extraction and Generation Tools. 19-37 - Jasmina Gajcin, Ivana Dusparic:
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning. 38-56 - Avleen Malhi, Vlad Apopei, Manik Madhikermi, Mandeep, Kary Främling:
Smartphone Based Grape Leaf Disease Diagnosis and Remedial System Assisted with Explanations. 57-71
Explainable Neuro-Symbolic AI
- Davide Beretta, Stefania Monica, Federico Bergenti:
Recent Neural-Symbolic Approaches to ILP Based on Templates. 75-89 - Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
On the Design of PSyKI: A Platform for Symbolic Knowledge Injection into Sub-symbolic Predictors. 90-108
Explainable Agents
- Michele Persiani, Thomas Hellström:
The Mirror Agent Model: A Bayesian Architecture for Interpretable Agent Behavior. 111-123 - Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
Semantic Web-Based Interoperability for Intelligent Agents with PSyKE. 124-142 - Liuwen Yu, Dov M. Gabbay:
Case-Based Reasoning via Comparing the Strength Order of Features. 143-151
XAI Measures and Metrics
- Vandita Singh, Kristijonas Cyras, Rafia Inam:
Explainability Metrics and Properties for Counterfactual Explanation Methods. 155-172 - Wim De Mulder:
The Use of Partial Order Relations and Measure Theory in Developing Objective Measures of Explainability. 173-186
AI and Law
- Tereza Novotná, Tomer Libal:
An Evaluation of Methodologies for Legal Formalization. 189-203 - Rachele Carli, Amro Najjar, Davide Calvaresi:
Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation. 204-220 - Blazej Kuzniacki, Marco Almada, Kamil Tylinski, Lukasz Górski:
Requirements for Tax XAI Under Constitutional Principles and Human Rights. 221-238
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