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Publication search results
found 4,775 matches
- 2024
- Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I. Communications in Computer and Information Science 1947, Springer 2024, ISBN 978-3-031-50395-5 [contents] - Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova:
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II. Communications in Computer and Information Science 1948, Springer 2024, ISBN 978-3-031-50484-6 [contents] - 2023
- Guillaume Bied, Christophe Gaillac, Morgane Hoffmann, Philippe Caillou, Bruno Crépon, Solal Nathan, Michèle Sebag:
Fairness in job recommendations: estimating, explaining, and reducing gender gaps. AEQUITAS@ECAI 2023 - Ludwig Bothmann, Susanne Dandl, Michael Schomaker:
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. AEQUITAS@ECAI 2023 - Mattias Brännström, Lili Jiang, Andrea Aler Tubella, Virginia Dignum:
Impact based fairness framework for socio-technical decision making. AEQUITAS@ECAI 2023 - Jasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert:
Bias Mitigation for Large Language Models using Adversarial Learning. AEQUITAS@ECAI 2023 - Zhijin Guo, Zhaozhen Xu, Martha Lewis, Nello Cristianini:
EXTRACT: Explainable Transparent Control of Bias in Embeddings. AEQUITAS@ECAI 2023 - Valerie Krug, Christopher Olson, Sebastian Stober:
Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps. AEQUITAS@ECAI 2023 - Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano:
A geometric framework for fairness. AEQUITAS@ECAI 2023 - Abhishek Mandal, Suzanne Little, Susan Leavy:
Gender Bias in Multimodal Models: A Transnational Feminist Approach Considering Geographical Region and Culture. AEQUITAS@ECAI 2023 - Chiara Manganini, Giuseppe Primiero:
Reasoning With Bias. AEQUITAS@ECAI 2023 - Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano:
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. AEQUITAS@ECAI 2023 - Javier Tello, Marina de la Cruz, Tony Ribeiro, Julian Fiérrez, Aythami Morales, Ruben Tolosana, César Luis Alonso, Alfonso Ortega:
Symbolic AI (LFIT) for XAI to handle biases. AEQUITAS@ECAI 2023 - Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu:
Recommendations for Bias Mitigation Methods: Applicability and Legality. AEQUITAS@ECAI 2023 - Angelo Ferrando, Rafael C. Cardoso:
Failure Handling in BDI Plans via Runtime Enforcement. ECAI 2023: 716-723 - Yongfeng Huang, Xin Chen, Lin Zhang:
Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training. ECAI 2023: 2802-2809 - Eyal Weiss, Ariel Felner, Gal A. Kaminka:
A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates. ECAI 2023: 2607-2614 - Jens Lehmann, Sébastien Ferré, Sahar Vahdati:
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering. ECAI 2023: 1348-1356 - Samik Basu, Vasant G. Honavar, Ganesh Ram Santhanam, Jia Tao:
Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries. ECAI 2023: 206-213 - Jiehua Chen, Christian Hatschka, Sofia Simola:
Efficient Algorithms for Monroe and CC Rules in Multi-Winner Elections with (Nearly) Structured Preferences. ECAI 2023: 397-404 - Yifan Jiang, Filip Ilievski, Kaixin Ma:
Transferring Procedural Knowledge Across Commonsense Tasks. ECAI 2023: 1156-1163 - Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu:
Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. ECAI 2023: 2810-2817 - Fu Zhang, Pengpeng Qiu, Tong Shen, Jingwei Cheng:
Multi-Aspect Enhanced Convolutional Neural Networks for Knowledge Graph Completion. ECAI 2023: 2994-3001 - Joanna Kaczmarek, Jörg Rothe, Nimrod Talmon:
Complexity of Control by Adding or Deleting Edges in Graph-Restricted Weighted Voting Games. ECAI 2023: 1190-1197 - Jiacheng Liu, Feilong Tang, Xiaofeng Hou:
Label Aggregation with Self-Supervision Enhanced Graph Transformer. ECAI 2023: 1513-1520 - Frank Neumann, Carsten Witt:
Fast Pareto Optimization Using Sliding Window Selection. ECAI 2023: 1771-1778 - Daxin Liu, Qinfei Huang, Vaishak Belle, Gerhard Lakemeyer:
Verifying Belief-Based Programs via Symbolic Dynamic Programming. ECAI 2023: 1497-1504 - Qun Li, Xubei Pan, Fu Xiao, Bir Bhanu:
ESSL: Enhanced Spatio-Temporal Self-Selective Learning Framework for Unsupervised Video Anomaly Detection. ECAI 2023: 1398-1405 - Shanshan Huang, Siyu Ren, Kenny Q. Zhu:
Combating Short Circuit Behavior in Natural Language Reasoning: Crossover and Mutation Operations for Enhanced Robustness. ECAI 2023: 1092-1099 - Ryo Kuroiwa, Alexander Shleyfman, J. Christopher Beck:
Extracting and Exploiting Bounds of Numeric Variables for Optimal Linear Numeric Planning. ECAI 2023: 1332-1339
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