1.

Record Nr.

UNISA996673180503316

Autore

Torra Vicenç

Titolo

Modeling Decisions for Artificial Intelligence : 22nd International Conference, MDAI 2025, València, Spain, September 15–18, 2025, Proceedings / / edited by Vicenç Torra, Yasuo Narukawa, Josep Domingo-Ferrer

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026

ISBN

3-032-00891-3

Edizione

[1st ed. 2026.]

Descrizione fisica

1 online resource (669 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15957

Altri autori (Persone)

NarukawaYasuo

Domingo-FerrerJosep

Disciplina

006.3

Soggetti

Artificial intelligence

Computer systems

Computer networks

Data structures (Computer science)

Information theory

Computer science

Artificial Intelligence

Computer System Implementation

Computer Communication Networks

Data Structures and Information Theory

Theory of Computation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- 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.

Sommario/riassunto

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.