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ORCID22nd MDAI 2025: València, Spain
- Vicenç Torra, Yasuo Narukawa
, Josep Domingo-Ferrer:
Modeling Decisions for Artificial Intelligence - 22nd International Conference, MDAI 2025, València, Spain, September 15-18, 2025, Proceedings. Lecture Notes in Computer Science 15957, Springer 2026, ISBN 978-3-032-00890-9
Decision Making and Uncertainty
- Ryoji Fukuda, Yoshiaki Okazaki, Aoi Honda:
Measurable Closure of a Finitely-Additive Measure Space: An Analysis of Spaces Similar to Stone Spaces. 3-14 - Jose M. Pavía, Patrizia Pérez-Asurmendi, Rocío de Andrés Calle:
Ecological Inference for Electoral Analysis: A Computational Perspective on Human Decision-Making. 15-26 - Mateu Sbert, Min Chen, Jordi Poch, Miquel Feixas, Shuning Chen, Víctor Elvira:
Dimensionality Reduction with Entropies from f-Divergences. 27-41 - Jakub Zeman, Miroslav Cepek:
ChessFormer - Modeling Human Decision Making in Chess. 42-53 - Jose M. Pavía, Antonio Forcina:
Simulating Electoral Behavior. 54-65 - David Ramsey, Adam Wasilewski:
Multi-criteria Assessment of Clustering Procedures in E-Commerce. 66-78 - Max Pettersson, Florian Westphal, Maria Riveiro:
Automated Decision-Making via Reinforcement Learning from Demonstrations. 79-90 - Yeyang Hong, Masahiro Inuiguchi, Shigeaki Innan:
Decision Analysis with the Hurwicz Decision Map Under a Set of Interval Priority Weight Vectors. 91-103 - Nhung Cao, Radek Valásek, Michal Holcapek, Nicolás Madrid, David Nedela:
An Investigation of Alternative Methods for the Inference of Probabilistic-Fuzzy Systems. 104-116 - Eddy Soria Leyva, Aïda Valls, Ana Beatriz Hernández-Lara:
Triangular Fuzzy Rescaling Distance. 117-129
Data Privacy
- José Carlos R. Alcantud:
The Differentially Private d-Choquet Integral: An Extension of Differentially Private Choquet Integrals. 133-144 - Josep Domingo-Ferrer, Najeeb Jebreel, David Sánchez:
Defenses Against Membership Inference Attacks on Unlearned Data. 145-159 - Hiroaki Kikuchi, Andres Hernandez-Matamoros:
Differential Private Risk Factors Analysis of Polypharmacy. 160-171 - K. Kanishkar, Guillem García, Martí Llinés, Julián Salas, Guillermo Navarro-Arribas:
Towards Lightning Network Channel Randomization. 172-182 - Divya Baura, Diego Calvanese:
Assessing Privacy Requirements for Controlled Query Evaluation in OBDA. 183-197
Machine Learning
- Yuchi Kanzawa:
On Sharma-Mittal Divergence-Regularized Fuzzy c-Means Clustering and Its Alternative. 201-213 - Nhung Cao, Michal Holcapek, Radek Valásek, Nicolás Madrid:
Probabilistic-Fuzzy Inference with Piecewise Linear Quantile Regression. 214-226 - Kacper Paczutkowski, Konrad Furmanczyk:
Positive Unlabeled Classification Methods with Logistic Regression Revisited: An Evaluation of Optimization Techniques. 227-238 - Jan Kwiatkowski, Jaroslaw A. Chudziak:
Comparing Transformer Models for Stock Selection in Quantitative Trading. 239-250
Data Science
- Alejandro Torres-García, Susana Diaz-Vazquez, Emilio Torres-Manzanera, Susana Montes:
Decision Rules for Replicating the Visual Learning of the Blackboard in Digital Presentations. 253-264 - Adrian Maduta, Tudor Alexandru Ileni, Adrian Sergiu Darabant:
Dual Focus: Transforming Negatives into Knowledge. 265-277 - Sara Suarez-Fernandez, Agustina Bouchet, Susana Diaz-Vazquez, Susana Montes:
Testing Monotonicity of Similarity Functions Based on Embeddings. 278-290 - Arda Derbent, Jaroslaw A. Chudziak:
Hybrid Transformer-ANFIS Architecture for Sentiment Analysis. 291-302 - Zoe Falomir, Vicent Costa:
Comparing Qualitative Object Descriptors Using a Visual Similarity Measure. 303-314 - Kristof Anetta, Ales Horák:
Improving Machine Understanding of Czech Medical Text Using Self-supervised and Rule-Based Data Augmentation. 315-327 - Diego Vallejo-Huanga, Erlend Eindride Fasmer, Cèsar Ferri, Fernando Martínez-Plumed:
Refining Community Detection in Social Networks: Agglomerative and Divisive Methods with Size Constraints. 328-340 - Jordi Casas-Roma, Toni Lozano Bagén:
Comparing Graph Neural Networks for Single and Multi-layer Brain Connectivity Analysis in Multiple Sclerosis. 341-353 - Deyu Cao, Samin Aref:
Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining. 354-383
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