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Modeling Decisions for Artificial Intelligence [2023]

1
Logic Aggregators and Their Implementations
2
Multi-target Decision Making Under Conditions of Severe Uncertainty
3
Constructive Set Function and Extraction of a <italic>k</italic>-dimensional Element
4
Coherent Upper Conditional Previsions Defined by Fractal Outer Measures to Represent the Unconscious Activity of Human Brain
5
Discrete Chain-Based Choquet-Like Operators
6
On a New Generalization of Decomposition Integrals
7
Bipolar OWA Operators with Continuous Input Function
8
Cost-constrained Group Feature Selection Using Information Theory
9
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option
10
Adapting the Gini’s Index for Solving Predictive Tasks
11
Bayesian Logistic Model for Positive and Unlabeled Data
12
A Goal-Oriented Specification Language for Reinforcement Learning
13
Improved Spectral Norm Regularization for Neural Networks
14
Preprocessing Matters: Automated Pipeline Selection for Fair Classification
15
Predicting Next Whereabouts Using Deep Learning
16
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
17
Local Differential Privacy Protocol for Making Key–Value Data Robust Against Poisoning Attacks
18
Differentially Private Graph Publishing Through Noise-Graph Addition
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