Modeling Decisions for Artificial Intelligence

.- Aggregation Operators, Fuzzy Measures and Integrals
.- Multi-Sugeno-inspired Aggregation Functions.
.- A Riesz Type Theorem for the Sugeno Integral on a Locally Compact Space.
.- Uniform Structure and Group Properties of the Sugeno-Type Function Space L1(Su)L^1(Su)L1(Su).
.- Learning Interpretable Graded Logic Aggregators via Adaptive Anchor Composition.
.- Uncertainty and Reasoning
.- Two f-Divergence Entropy Families in Quantum Information: Structure and Coarse-Graining.
.- Building 3D Objects from Partial Views Using Voxels and Depth Uncertainty (VuQ3D).
.- Improving the Usefulness of Group Interval Priority Weights Under Individual Pairwise Comparison Matrices.
.- Cross-Domain Single Lesion Localization in Medical Images via Deep Reinforcement Learning.
.- Privacy and Security
.- Bistochastically Private Release of Longitudinal Data.
.- Detecting LLM Hallucinations via Anomaly Detection on Latent Representations.
.- On Privacy Metrics for Multi-hop Payments in the Lightning Network.
.- Direct Information Gain Estimation for Decision Tree Learning Under Local Differential Privacy.
.- Break the Glass in OBDA.
.- Data Science
.- Beyond Keywords: Automated Prerequisite Extraction and Evaluation with MAPLE.
.- Online Additive Hyperplanes: Conflict-Driven Constructive Classification.
.- Distributive Effects of AI Support: A Framework for Analyzing Performance Shifts Within Groups.
.- On Lehmer K-means and q-Boltzmann Factor K-means Clustering.
.- A Recommender System to Find the Best Class Balancing Technique for Your Tabular Dataset in Binary Classification Problems.
.- Exploiting Low-Rank Structure in SCADA Data for Wind Turbine Condition Monitoring.
.- Dual-Calibrated Venn Predictors for Detecting Localized Bias.
.- Extending Goal-Oriented Specification for Reinforcement Learning to High Dimensions.
.- Structural Compression of Ensemble Models via Evolutionary Algorithms.
.- PersiSTabNet: Persistence Statistics Tabular Network for Point Cloud Classification.
.- Text Re-identification Evaluation with Retrieval-Augmented Generation.
.- Plausibility Through Coherence: Evaluating Counterfactual Explanations in SHAP-Space.
.- Fair2Zero: Fairness-Aware Aggregation in Federated Learning.
.- Robust Bayes Acts Under Prior Perturbations: Contamination, Stability, and Selection Paths.
.- Understanding Specific Cows’ Behavior Through Cows’ Activity.
.- Classification Models Based on CPL Criterion Functions Applied to Clinical Kidney Data.
.- UnReL: Efficient Exact LLM Unlearning via Targeted Relearning.
.- Feature Selection for Uplift Modeling Under a Budget Constraint Assumption.