Laura Selicato

According to our database, Laura Selicato authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Sparse hyperparametric Itakura-Saito nonnegative matrix factorization via bi-level optimization.

Laura Selicato, Flavia Esposito, Andersen Man Shun Ang, Nicoletta Del Buono, Rafal Zdunek

J. Comput. Appl. Math., 2026

2025

Sparse Hyperparametric Itakura-Saito NMF via Bi-Level Optimization.

Laura Selicato, Flavia Esposito, Andersen Man Shun Ang, Nicoletta Del Buono, Rafal Zdunek

CoRR, February, 2025

Topological data analysis for resilience assessment of water distribution networks.

Laura Selicato, Alessandro Pagano, Flavia Esposito, Matteo Icardi

Math. Comput. Simul., 2025

2023

Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization.

Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Rafal Zdunek

Appl. Math. Comput., November, 2023

Theoretical aspects in penalty hyperparameters optimization.

Flavia Esposito, Laura Selicato, Caterina Sportelli

CoRR, 2023

2022

Bi-level Optimization for hyperparameters in Nonnegative Matrix Factorizations.

Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Rafal Zdunek

CoRR, 2022

Detecting Anomalies in Marine Data: A Framework for Time Series Analysis.

Nicoletta Del Buono, Flavia Esposito, Grazia Gargano, Laura Selicato, Nicolò Taggio, Giulio Ceriola, Daniela Iasillo

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Toward a New Approach for Tuning Regularization Hyperparameter in NMF.

Nicoletta Del Buono, Flavia Esposito, Laura Selicato

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Anomalies Detection in Gene Expression Matrices: Towards a New Approach.

Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Maria Carmela Vegliante

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Methods for Hyperparameters Optimization in Learning Approaches: An Overview.

Nicoletta Del Buono, Flavia Esposito, Laura Selicato

Proceedings of the Machine Learning, Optimization, and Data Science, 2020