Modeling Decisions for Artificial Intelligence (eBook, PDF)

22nd International Conference, MDAI 2025, València, Spain, September 15-18, 2025, Proceedings
Redaktion: Torra, Vicenç; Domingo-Ferrer, Josep; Narukawa, Yasuo

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 22nd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2025, held in Valencia, Spain, during September 15-18, 2025. The 28 full papers were carefully reviewed and selected from 58 submissions. They are organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine learning and Data science.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 386
• Erscheinungstermin: 6. August 2025
• Englisch
• ISBN-13: 9783032008916
• Artikelnr.: 75129832

Inhaltsangabe

.- Decision making and uncertainty.

.- Measurable Closure of a Finitely-Additive Measure Space: An Analysis of Spaces
Similar to Stone Spaces.

.- Ecological Inference for Electoral Analysis: A Computational Perspective on
Human Decision-Making.

.- Dimensionality reduction with entropies from f-divergences.

.- ChessFormer - Modeling human decision making in chess.

.- Simulating Electoral Behavior.

.- Multi-criteria Assessment of Clustering Procedures in E-Commerce.

.- Automated Decision-Making via Reinforcement Learning from Demonstrations.

.- Decision Analysis with the Hurwicz Decision Map under a Set of Interval Pri-
ority Weight Vectors.

.- An Investigation of Alternative Methods for the Inference of Probabilistic-Fuzzy
Systems.

.- Triangular Fuzzy Rescaling Distance.

.- Data privacy.

.- The differentially private d-Choquet integral: an extension of differentially pri-
vate Choquet integrals.

.- Defenses Against Membership Inference Attacks on Unlearned Data.

.- Differential Private Risk Factors Analysis of Polypharmacy.

.- Towards Lightning Network Channel Randomization.

.- Assessing Privacy Requirements for Controlled Query Evaluation in OBDA.

.- Machine learning.

.- On Sharma-Mittal divergence-regularized Fuzzy c-Means Clustering and its
Alternative.

.- Probabilistic-Fuzzy Inference with Piecewise Linear Quantile Regression.

.- Positive Unlabeled Classification Methods with Logistic Regression Revisited:
An Evaluation of Optimization Techniques.

.- Kacper Paczutkowski, Konrad Furma´nczyk Comparing Transformer Models for Stock Selection in Quantitative Trading.

.- Data science.

.- Decision Rules for Replicating the Visual Learning of the Blackboard in Digital
Presentations.

.- Dual Focus: Transforming Negatives into Knowledge.

.- Testing monotonicity of similarity functions based on embeddings.

.- Hybrid Transformer-ANFIS Architecture for Sentiment Analysis.

.- Comparing Qualitative Object Descriptors using a Visual Similarity Measure.

.- Improving Machine Understanding of Czech Medical Text Using Self-Supervised
and Rule-Based Data Augmentation.

.- Refining Community Detection in Social Networks: Agglomerative and Divisive
Methods with Size Constraints.

.- Comparing Graph Neural Networks for Single and Multi-Layer Brain Connec-
tivity Analysis in Multiple Sclerosis.

.- Enhancing Ultra-Low-Bit Quantization of Large Language Models Through
Saliency-Aware Partial Retraining.