Breast Cancer's Microarray Data: Pattern Discovery Using Nonnegative Matrix Factorizations. - Nicoletta Del Buono; Flavia Esposito; Fabio Fumarola; Angelina Boccarelli; Mauro Coluccia (MOD, 2016)

Q-matrix Extraction from Real Response Data Using Nonnegative Matrix Factorizations. - Gabriella Casalino; Ciro Castiello; Nicoletta Del Buono; Flavia Esposito; Corrado Mencar (ICCSA (1), 2017)

RADON Project: From Children's Game To Intelligent Personal Dosimeter. - Alessandra Scarcelli; Roberta Borzone; Flavia Esposito; Patrizia Camassa; Michele Di Gioia; Cristoforo Marzocca; Maria Rizzi; Michele Terlizzi; Mario Ricci; Alberto Amato; Antonella Giove; Rita Dario; et al. (MetroInd4.0&IoT, 2020)

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)

Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study. - Gaetano Settembre; Nicola Corriero; Nicoletta Del Buono; Flavia Esposito; Rosanna Rizzi (LOD (1), 2022)

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

Improving Color Image Binary Segmentation Using Nonnegative Matrix Factorization. - Ciro Castiello; Nicoletta Del Buono; Flavia Esposito (ICCSA (Workshops 5), 2023)

Low-Rank Hierarchical Clustering of PRISMA Hyperspectral Images to Identify Burned Areas. - Gaetano Settembre; Nicolò Taggio; Nicoletta Del Buono; Antonello Aiello; Flavia Esposito (PKDD/ECML Workshops (3), 2023)

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)

Deep NMF and Autoencoder: A Comparative Analysis for Hyperspectral Unmixing Using Prisma Real Images. - Gaetano Settembre; Nicoletta Del Buono; Flavia Esposito; Nicolò Taggio (IGARSS, 2024)

Chordal-NMF with Riemannian Multiplicative Update. - Flavia Esposito; Andersen Ang (CoRR, 2024)

Accelerated SVD-based initialization for nonnegative matrix factorization. - Flavia Esposito; Syed Muhammad Atif; Nicolas Gillis (Comput. Appl. Math., 2024)

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

A land cover change framework analyzing wildfire-affected areas in bitemporal PRISMA hyperspectral images. - Gaetano Settembre; Nicolò Taggio; Nicoletta Del Buono; Flavia Esposito; Paola Di Lauro; Antonello Aiello (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)

Riemannian Multiplicative Update for Sparse Simplex constraint using oblique rotation manifold. - Flavia Esposito; Andersen Ang (CoRR, 2025)