MANNO, Andrea

MANNO, Andrea  

Dipartimento di Ingegneria e scienze dell informazione e matematica  

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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.027 secondi).
Titolo Data di pubblicazione Autore(i) File
Case article — Production and distribution optimization of beach equipment for the marinero company 1-gen-2019 Manno, A.; Palagi, L.; Sagratella, S.
Case—Production and distribution optimization of beach equipment for the marinero company 1-gen-2019 Manno, A.; Palagi, L.; Sagratella, S.
Comparing deep and shallow neural networks in forecasting call center arrivals 1-gen-2022 Manno, Andrea; Rossi, Fabrizio; Smriglio, Stefano; Cerone, Luigi
A convergent and fully distributable SVMs training algorithm 1-gen-2016 Manno, A.; Sagratella, S.; Livi, L.
Decomposition Techniques for Multilayer Perceptron Training 1-gen-2016 Grippo, L.; Manno, A.; Sciandrone, M.
Impact of displacement demand reliability for seismic vulnerability assessment at an urban scale 1-gen-2018 Diana, L.; Manno, A.; Lestuzzi, P.; Podesta, S.; Luchini, C.
Improving Social Assistance Services for Minors and Disabled People by Using Multiobjective Programming 1-gen-2019 Lampariello, Lorenzo; Manno, Andrea; Sagratella, Simone
Key-cost drivers selection in local public bus transport services through machine learning 1-gen-2017 Avenali, A.; Catalano, G.; D'Alfonso, T.; Matteucci, G.; Manno, A.
A local search method for costly black-box problems and its application to CSP plant start-up optimization refinement 1-gen-2020 Manno, Andrea; Amaldi, Edoardo; Casella, Francesco; Martelli, Emanuele
The new SUMPOT to predict postoperative complications using an Artificial Neural Network 1-gen-2021 Chelazzi, C.; Villa, G.; Manno, A.; Ranfagni, V.; Gemmi, E.; Romagnoli, S.
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training 1-gen-2018 Manno, A.; Palagi, L.; Sagratella, S.
Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method 1-gen-2019 Diana, L.; Manno, A.; Lestuzzi, P.
A Shallow Neural Network Approach for the Short-Term Forecast of Hourly 1-gen-2022 Manno, A.; Martelli, E.; Amaldi, E.