104 citations · 298 across the 13 of their papers we have counts for
3 papers · 1 filter
Supervised Feature Compression based on Counterfactual Analysis
Veronica Piccialli, Dolores Romero Morales, Cecilia Salvatore
Counterfactual Explanations are becoming a de-facto standard in post-hoc interpretable machine learning. For a given classifier and an instance classified in an undesired class, it…
Fix and Bound: An efficient approach for solving large-scale quadratic programming problems with box constraints
Marco Locatelli, Veronica Piccialli, Antonio M. Sudoso
In this paper, we propose a branch-and-bound algorithm for solving nonconvex quadratic programming problems with box constraints (BoxQP). Our approach combines existing tools, such…
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming
Veronica Piccialli, Antonio M. Sudoso
The minimum sum-of-squares clustering (MSSC), or k-means type clustering, has been recently extended to exploit prior knowledge on the cardinality of each cluster. Such knowledge i…