When is deep learning better and when is shallow learning better: qualitative analysis. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Int. J. Parallel Emergent Distributed Syst., 2022)

Why Model Order Reduction. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Decision Making Under Uncertainty and Constraints, 2023)

How to Get the Most Accurate Measurement-Based Estimates. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm. - Salvador Robles Herrera; Martine Ceberio; Vladik Kreinovich (Uncertainty, Constraints, and Decision Making, 2023)

Predicting Fairness of ML Software Configurations. - Salvador Robles Herrera; Verya Monjezi; Vladik Kreinovich; Ashutosh Trivedi 001; Saeid Tizpaz-Niari (PROMISE, 2024)

Predicting Fairness of ML Software Configuration. - Salvador Robles Herrera; Verya Monjezi; Vladik Kreinovich; Ashutosh Trivedi 001; Saeid Tizpaz-Niari (CoRR, 2024)