.- 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.
