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2020 – today
- 2023
[c3]Laura Dunne
, Franca Rocco di Torrepadula, Sergio Di Martino, Gavin McArdle, Davide Nardone:
Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities. W2GIS 2023: 105-120- 2022
- [c2]Flora Amato, Sergio Di Martino, Nicola Mazzocca, Davide Nardone, Franca Rocco di Torrepadula, Paolo Sannino:
Bus Passenger Load Prediction: Challenges from an Industrial Experience. W2GIS 2022: 93-107 - 2020
- [j2]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Data integration by fuzzy similarity-based hierarchical clustering. BMC Bioinform. 21-S(10): 350 (2020) - [p2]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Blind Source Separation Using Dictionary Learning in Wireless Sensor Network Scenario. Neural Approaches to Dynamics of Signal Exchanges 2020: 119-131
2010 – 2019
- 2019
- [j1]Davide Nardone, Angelo Ciaramella, Antonino Staiano:
A Sparse-Modeling Based Approach for Class Specific Feature Selection. PeerJ Comput. Sci. 5: e237 (2019) - [p1]Mario Iannicelli, Davide Nardone, Angelo Ciaramella, Antonino Staiano:
Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis. Quantifying and Processing Biomedical and Behavioral Signals 2019: 87-96 - [i1]Davide Nardone, Angelo Ciaramella, Antonino Staiano:
A Sparse-Modeling based approach for Class-Specific feature selection. PeerJ Prepr. 7: e27740 (2019) - 2018
- [c1]Angelo Ciaramella, Davide Nardone, Antonino Staiano:
Compressive Sensing and Hierarchical Clustering for Microarray Data with Missing Values. CIBB 2018: 3-10
Coauthor Index
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