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Andrea Manno
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Decomposition techniques for multilayer perceptron training
L Grippo, A Manno, M Sciandrone
IEEE transactions on neural networks and learning systems 27 (11), 2146-2159, 2015
372015
Impact of displacement demand reliability for seismic vulnerability assessment at an urban scale
L Diana, A Manno, P Lestuzzi, S Podestą, C Luchini
Soil Dynamics and Earthquake Engineering 112, 35-52, 2018
152018
A Shallow Neural Network Approach for the Short-Term Forecast of Hourly Energy Consumption
A Manno, E Martelli, E Amaldi
Energies 15 (3), 958, 2022
132022
Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method
L Diana, A Manno, P Lestuzzi
Earthquake Engineering and Engineering Vibration 18, 141-158, 2019
122019
Key-cost drivers selection in local public bus transport services through machine learning
A Avenali, G Catalano, T D’Alfonso, G Matteucci, A Manno
WIT Transactions on the Built Environment 176, 155-166, 2017
112017
A convergent and fully distributable SVMs training algorithm
A Manno, S Sagratella, L Livi
2016 International Joint Conference on Neural Networks (IJCNN), 3076-3080, 2016
112016
The new SUMPOT to predict postoperative complications using an Artificial Neural Network
C Chelazzi, G Villa, A Manno, V Ranfagni, E Gemmi, S Romagnoli
Scientific Reports 11 (1), 22692, 2021
102021
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training
A Manno, L Palagi, S Sagratella
Computational Optimization and Applications 71 (1), 115-145, 2018
102018
A local search method for costly black-box problems and its application to CSP plant start-up optimization refinement
A Manno, E Amaldi, F Casella, E Martelli
Optimization and Engineering 21, 1563-1598, 2020
72020
Comparing deep and shallow neural networks in forecasting call center arrivals
A Manno, F Rossi, S Smriglio, L Cerone
Soft Computing 27 (18), 12943-12957, 2023
52023
Case—Production and distribution optimization of beach equipment for the Marinero company
A Manno, L Palagi, S Sagratella
INFORMS Transactions on Education 19 (3), 155-159, 2019
32019
Seismic displacement-demand and urban damage distribution: the impact of different methods on vulnerability assessment
L Diana, Y Reuland, A Manno, P Lestuzzi, S Podestą
Proceedings of the Sixth International Symposium on Reliability Engineering …, 2018
32018
A class of parallel decomposition algorithms for SVMs training
A Manno, L Palagi, S Sagratella
arXiv preprint arXiv:1509.05289, 2015
32015
Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations
V Zelli, A Manno, C Compagnoni, RO Ibraheem, F Zazzeroni, E Alesse, ...
Journal of Translational Medicine 21 (1), 836, 2023
22023
On multivariate randomized classification trees: l0-based sparsity, vc dimension and decomposition methods
E Amaldi, A Consolo, A Manno
Computers & Operations Research 151, 106058, 2023
22023
SCR: A novel surrogate-based global optimization algorithm for constrained black-box problems
SA Zaryab, A Manno, E Martelli
Computer Aided Chemical Engineering 51, 1213-1218, 2022
12022
An ensemble of artificial neural network models to forecast hourly energy demand
A Manno, M Intini, O Jabali, F Malucelli, D Rando
Optimization and Engineering, 1-29, 2024
2024
A Shallow Neural Network Approach for the Short-Term Forcast of Hourly Energy Consumption. Energies 2022, 15, 958
A Manno, E Martelli, E Amaldi
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Case Article—Production and Distribution Optimization of Beach Equipment for the Marinero Company
A Manno, L Palagi, S Sagratella
INFORMS Transactions on Education 19 (3), 152-154, 2019
2019
Improving Social Assistance Services for Minors and Disabled People by Using Multiobjective Programming
L Lampariello, A Manno, S Sagratella
A View of Operations Research Applications in Italy, 2018, 141-150, 2019
2019
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Articles 1–20