Modeling Decisions for Artificial Intelligence

22nd International Conference, MDAI 2025, València, Spain, September 15-18, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-3-032-00890-9
Verlag: Springer

Buch, Englisch, 386 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 604 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Torra, Vicenç

Narukawa, Yasuo

Domingo-Ferrer, Josep

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- 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.