Modeling Decisions for Artificial Intelligence

.- 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.