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.