• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 21 matches

• 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
• 
  Tomer Libal, Tereza Novotná:
  Towards Transparent Legal Formalization. EXTRAAMAS@AAMAS 2021: 296-313
• 
  Jean-Jacques Ohana, Steve Ohana, Eric Benhamou, David Saltiel, Beatrice Guez:
  Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets. EXTRAAMAS@AAMAS 2021: 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. EXTRAAMAS@AAMAS 2021: 208-222
• 
  Federico Sabbatini, Giovanni Ciatto, Andrea Omicini:
  GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors. EXTRAAMAS@AAMAS 2021: 18-38
• 
  Ruben S. Verhagen, Mark A. Neerincx, Myrthe L. Tielman:
  A Two-Dimensional Explanation Framework to Classify AI as Incomprehensible, Interpretable, or Understandable. EXTRAAMAS@AAMAS 2021: 119-138
• 
  Amber E. Zelvelder, Marcus Westberg, Kary Främling:
  Assessing Explainability in Reinforcement Learning. EXTRAAMAS@AAMAS 2021: 223-240
• 
  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 [contents]