Linked e-resources
Details
Table of Contents
Logic Aggregators and Their Implementations
Decision making and uncertainty
Multi-Target Decision Making under Conditions of Severe Uncertainty
Constructive set function and extraction of a k-dimensional element
Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain
Discrete chain-based Choquet-like operators
On a new generalization of decomposition integrals
Bipolar OWA operators with continuous input function
Machine Learning and data science
Cost-constrained group feature selection using information theory
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option
Adapting the Gini's index for solving Predictive Tasks
Bayesian logistic model for positive and unlabeled data
A goal-oriented specification language for reinforcement learning
Improved Spectral Norm Regularization for Neural Networks
Preprocessing Matters: Automated Pipeline Selection for Fair Classification
Predicting Next Whereabouts using Deep Learning
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
Data privacy
Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks
Differential Privacy through Noise-Graph Addition.
Decision making and uncertainty
Multi-Target Decision Making under Conditions of Severe Uncertainty
Constructive set function and extraction of a k-dimensional element
Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain
Discrete chain-based Choquet-like operators
On a new generalization of decomposition integrals
Bipolar OWA operators with continuous input function
Machine Learning and data science
Cost-constrained group feature selection using information theory
Conformal Prediction for Accuracy Guarantees in Classification with Reject Option
Adapting the Gini's index for solving Predictive Tasks
Bayesian logistic model for positive and unlabeled data
A goal-oriented specification language for reinforcement learning
Improved Spectral Norm Regularization for Neural Networks
Preprocessing Matters: Automated Pipeline Selection for Fair Classification
Predicting Next Whereabouts using Deep Learning
A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size
Data privacy
Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks
Differential Privacy through Noise-Graph Addition.