Modeling Decisions for Artificial Intelligence
Springer International Publishing (Verlag)
978-3-032-00890-9 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 07.08.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 386 p. 78 illus., 61 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Data Science • Decision Making • Fuzzy Sets and Systems • machine learning • non-additive mesures • privacy • security |
| ISBN-10 | 3-032-00890-5 / 3032008905 |
| ISBN-13 | 978-3-032-00890-9 / 9783032008909 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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