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Laura Selicato
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Year
A new ensemble method for detecting anomalies in gene expression matrices
L Selicato, F Esposito, G Gargano, MC Vegliante, G Opinto, GM Zaccaria, ...
Mathematics 9 (8), 882, 2021
82021
Nonnegative matrix factorization models for knowledge extraction from biomedical and other real world data
F Esposito, N Del Buono, L Selicato
PAMM 20 (1), e202000032, 2021
72021
Methods for hyperparameters optimization in learning approaches: an overview
N Del Buono, F Esposito, L Selicato
Machine Learning, Optimization, and Data Science: 6th International …, 2020
42020
Methods for Hyperparameters Optimization in Learning Approaches: An overview
L Selicato, N Del Buono, F Esposito
Machine Learning, Optimization, and Data Science. LOD 2020. 12514, 100-112, 2020
32020
Detecting Anomalies in Marine Data: A Framework for Time Series Analysis
N Del Buono, F Esposito, G Gargano, L Selicato, N Taggio, G Ceriola, ...
Machine Learning, Optimization, and Data Science: 8th International Workshop …, 2023
2023
Theoretical aspects in penalty hyperparameters optimization
F Esposito, L Selicato, C Sportelli
arXiv preprint arXiv:2301.13542, 2023
2023
Bi-level Optimization for hyperparameters in Nonnegative Matrix Factorizations
N Del Buono, F Esposito, L Selicato, R Zdunek
arXiv preprint arXiv:2203.13129, 2022
2022
Toward a New Approach for Tuning Regularization Hyperparameter in NMF
N Del Buono, F Esposito, L Selicato
Machine Learning, Optimization, and Data Science: 7th International …, 2022
2022
Low rank approaches for the analysis of real data from pre to post processing
F Esposito, L Selicato, N Del Buono
PROCEEDINGS OF SIMAI 2020+ 21, 2021
2021
Anomalies Detection in Gene Expression Matrices: Towards a New Approach.
N Del Buono, F Esposito, L Selicato, MC Vegliante
BIOINFORMATICS, 162-169, 2021
2021
Thursday, 19 December
M Gallo, N Picoco, L Selicato, C Sportelli
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Articles 1–11