Methods for Hyperparameters Optimization in Learning Approaches: An Overview. - Nicoletta Del Buono; Flavia Esposito; Laura Selicato (LOD (1), 2020)

Anomalies Detection in Gene Expression Matrices: Towards a New Approach. - Nicoletta Del Buono; Flavia Esposito; Laura Selicato; Maria Carmela Vegliante (BIOINFORMATICS, 2021)

Toward a New Approach for Tuning Regularization Hyperparameter in NMF. - Nicoletta Del Buono; Flavia Esposito; Laura Selicato (LOD, 2021)

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 (LOD (1), 2022)

Bi-level Optimization for hyperparameters in Nonnegative Matrix Factorizations. - Nicoletta Del Buono; Flavia Esposito; Laura Selicato; Rafal Zdunek (CoRR, 2022)

Theoretical aspects in penalty hyperparameters optimization. - Flavia Esposito; Laura Selicato; Caterina Sportelli (CoRR, 2023)

Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization. - Nicoletta Del Buono; Flavia Esposito; Laura Selicato; Rafal Zdunek (Appl. Math. Comput., 2023)

Topological data analysis for resilience assessment of water distribution networks. - Laura Selicato; Alessandro Pagano; Flavia Esposito; Matteo Icardi (Math. Comput. Simul., 2025)

Sparse Hyperparametric Itakura-Saito NMF via Bi-Level Optimization. - Laura Selicato; Flavia Esposito; Andersen Ang; Nicoletta Del Buono; Rafal Zdunek (CoRR, 2025)