| Modeling cancer drug response through drug-specific informative genes L Parca, G Pepe, M Pietrosanto, G Galvan, L Galli, A Palmeri, ... Scientific reports 9 (1), 15222, 2019 | 56 | 2019 |
| Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models F Ceccarelli, M Sciandrone, C Perricone, G Galvan, F Morelli, LN Vicente, ... PLoS One 12 (3), e0174200, 2017 | 45 | 2017 |
| Biomarkers of erosive arthritis in systemic lupus erythematosus: application of machine learning models F Ceccarelli, M Sciandrone, C Perricone, G Galvan, E Cipriano, ... PLoS One 13 (12), e0207926, 2018 | 38 | 2018 |
| Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy G Cocchi, L Galli, G Galvan, M Sciandrone, M Cantù, G Tomaselli Wind Energy 21 (5), 357-371, 2018 | 22 | 2018 |
| A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints G Galvan, M Sciandrone, S Lucidi Computational Optimization and Applications 80, 33-53, 2021 | 12 | 2021 |
| An alternating augmented Lagrangian method for constrained nonconvex optimization G Galvan, M Lapucci, T Levato, M Sciandrone Optimization Methods and Software 35 (3), 502-520, 2020 | 7 | 2020 |
| On the convergence of inexact augmented Lagrangian methods for problems with convex constraints G Galvan, M Lapucci Operations Research Letters 47 (3), 185-189, 2019 | 5 | 2019 |
| A two-level decomposition framework exploiting first and second order information for SVM training problems G Galvan, M Lapucci, CJ Lin, M Sciandrone Journal of Machine Learning Research 22 (23), 1-38, 2021 | 4 | 2021 |
| A robust initialization of residual blocks for effective resnet training without batch normalization E Civitelli, A Sortino, M Lapucci, F Bagattini, G Galvan IEEE Transactions on Neural Networks and Learning Systems, 2023 | 2 | 2023 |
| Football: Discovering elapsing-time bias in the science of success L Galli, G Galvan, T Levato, C Liti, V Piccialli, M Sciandrone Chaos, Solitons & Fractals 152, 111370, 2021 | 2 | 2021 |
| Correction: Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models F Ceccarelli, M Sciandrone, C Perricone, G Galvan, E Cipriano, ... Plos one 14 (1), e0211791, 2019 | 2 | 2019 |
| Decomposition methods for constrained nonlinear optimization G Galvan | | 2020 |
| AB1125 Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models F Ceccarelli, M Sciandrone, C Perricone, G Galvan, F Morelli, LN Vicente, ... Annals of the Rheumatic Diseases 76 (Suppl 2), 1449-1449, 2017 | | 2017 |
| PREDICTION OF CHRONIC DAMAGE IN SYSTEMIC LUPUS ERYTHEMATOSUS USING NEURAL NETWORKS F Ceccarelli, M Sciandrone, C Perricone, G Galvan, F Morelli, LN Lucente, ... CLINICAL AND EXPERIMENTAL RHEUMATOLOGY 34 (4), S85-S85, 2016 | | 2016 |
Marco SciandroneProfessor of Operations Research, Sapienza University of RomeEmail verificata su diag.uniroma1.it
