Salvador Robles Herrera

According to our database, Salvador Robles Herrera authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Predicting Fairness of ML Software Configuration.

Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari

CoRR, 2024

Predicting Fairness of ML Software Configurations.

Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari

Proceedings of the 20th International Conference on Predictive Models and Data Analytics in Software Engineering, 2024

2023

Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm.

Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

How to Get the Most Accurate Measurement-Based Estimates.

Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich

Proceedings of the Uncertainty, Constraints, and Decision Making, 2023

Why Model Order Reduction.

Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich

Proceedings of the Decision Making Under Uncertainty and Constraints - A Why-Book, 2023

2022

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