Journal

Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation
Exact characterization of ε-Safe Decision Regions for exponential family distributions and Multi Cost SVM approximation

Exact characterization of epsilon-safe safety regions for exponential families distributions.

Jan 29, 2025

A probabilistic scaling approach to conformal predictions in binary image classification
A probabilistic scaling approach to conformal predictions in binary image classification

A probabilistic scaling approach to conformal deep binary classification.

Sep 1, 2024

Conformal predictions for probabilistically robust scalable machine learning classification
Conformal predictions for probabilistically robust scalable machine learning classification

A conformal prediction approach to define safety regions for misclassification error control.

Jul 1, 2024

Multiclass Counterfactual Explanations Using Support Vector Data Description
Multiclass Counterfactual Explanations Using Support Vector Data Description

Multiclass counterfactual explanations using support vector data description.

Nov 27, 2023

Artichoke deep learning detection network for site-specific agrochemicals UAS spraying
Artichoke deep learning detection network for site-specific agrochemicals UAS spraying

Original deep object detector for smart agricolture using drones.

Oct 1, 2023

A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations
A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations

Counterfactual recommendations for treatment of type-2 diabetes.

Nov 1, 2022

eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics

Research survey on the use of explainable AI techniques to deal with adversarial machine learning.

May 1, 2022

Counterfactual Building and Evaluation via eXplainable Support Vector Data Description
Counterfactual Building and Evaluation via eXplainable Support Vector Data Description

Construction of counterfactual explanations for SVDD-based binary classification.

May 1, 2022

A New SVDD Approach to Reliable and Explainable AI
A New SVDD Approach to Reliable and Explainable AI

Original SVVD approach for the control of false positives in machine learning classification.

Apr 1, 2022