Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (CIBB, 2018)

A Sparse-Modeling based approach for Class-Specific feature selection. - Davide Nardone; Angelo Ciaramella; Antonino Staiano (PeerJ Prepr., 2019)

Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. - Mario Iannicelli; Davide Nardone; Angelo Ciaramella; Antonino Staiano (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Data integration by fuzzy similarity-based hierarchical clustering. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (BMC Bioinform., 2020)

Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. - Angelo Ciaramella; Davide Nardone; Antonino Staiano (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Bus Passenger Load Prediction: Challenges from an Industrial Experience. - Flora Amato; Sergio Di Martino; Nicola Mazzocca; Davide Nardone; Franca Rocco di Torrepadula; Paolo Sannino (W2GIS, 2022)

Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities. - Laura Dunne; Franca Rocco di Torrepadula; Sergio Di Martino; Gavin McArdle; Davide Nardone (W2GIS, 2023)