Pubblicazioni di Seccia Ruggiero
2023
Raparelli Valeria, Romiti Giulio Francesco, Di Teodoro Giulia, Seccia Ruggiero, Tanzilli Gaetano, Viceconte Nicola, Marrapodi Ramona, Flego Davide, Corica Bernadette, Cangemi Roberto, Pilote Louise, Basili Stefania, Proietti Marco, Palagi Laura, Stefanini Lucia
A machine-learning based bio-psycho-social model for the prediction of non-obstructive and obstructive coronary artery disease. CLINICAL RESEARCH IN CARDIOLOGY 2023: -
2022
Seccia R., Foglino F., Leonetti M., Sagratella S.
A novel optimization perspective to the problem of designing sequences of tasks in a reinforcement learning framework. OPTIMIZATION AND ENGINEERING 2022: -
2021
Raparelli V, Proietti M, Romiti G. F., Seccia R, Di Teodoro G., Tanzilli G, Marrapodi R, Flego D, Corica B, Cangemi R, Palagi L, Basili S, Stefanini L, Group Eva
Seccia Ruggiero, Romano Silvia, Salvetti Marco, Crisanti Andrea, Palagi Laura, Grassi Francesca
Palagi Laura, Seccia Ruggiero
On the convergence of a Block-Coordinate Incremental Gradient method. SOFT COMPUTING 2021: 1-12
2020
Palagi L., Seccia R.
Block layer decomposition schemes for training deep neural networks. JOURNAL OF GLOBAL OPTIMIZATION 2020: 97-124
Seccia R., Gammelli D., Dominici F., Romano S., Landi A. C., Salvetti M., Tacchella A., Zaccaria A., Crisanti A., Grassi F., Palagi L.
Seccia Ruggiero, Boresta Marco, Fusco Federico, Tronci Edoardo, Di Gemma Emanuele, Palagi Laura, Mangone Massimiliano, Agostini Francesco, Bernetti Andrea, Santilli Valter, Damiani Carlo, Goffredo Michela, Franceschini Marco
Data of patients undergoing rehabilitation programs. DATA IN BRIEF 2020: -
2019
Foglino Francesco, Leonetti Matteo, Sagratella Simone, Seccia Ruggiero
A Gray-Box Approach for Curriculum Learning. Optimization of Complex Systems: Theory, Models, Algorithms and Applications 2019: 720-729
Palagi Laura, Seccia Ruggiero