Exact characterization of epsilon-safe safety regions for exponential families distributions.
A probabilistic scaling approach to conformal deep binary classification.
A conformal prediction approach to define safety regions for misclassification error control.
Multiclass counterfactual explanations using support vector data description.
Original deep object detector for smart agricolture using drones.
Counterfactual recommendations for treatment of type-2 diabetes.
Research survey on the use of explainable AI techniques to deal with adversarial machine learning.
Construction of counterfactual explanations for SVDD-based binary classification.
Original SVVD approach for the control of false positives in machine learning classification.
