| A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records F Bagattini, I Karlsson, J Rebane, P Papapetrou BMC medical informatics and decision making 19, 1-20, 2019 | 39 | 2019 |
| Clustering methods for large scale geometrical global optimization F Bagattini, F Schoen, L Tigli Optimization Methods and Software 34 (5), 1099-1122, 2019 | 13 | 2019 |
| Clustering methods for the optimization of atomic cluster structure F Bagattini, F Schoen, L Tigli The Journal of Chemical Physics 148 (14), 2018 | 9 | 2018 |
| Lagrangean-Based Combinatorial Optimization for Large-Scale S3VMs F Bagattini, P Cappanera, F Schoen IEEE transactions on neural networks and learning systems 29 (9), 4426-4435, 2018 | 7 | 2018 |
| A Simple and Effective Lagrangian-Based Combinatorial Algorithm for S3VMs F Bagattini, P Cappanera, F Schoen International Workshop on Machine Learning, Optimization, and Big Data, 244-254, 2017 | 4 | 2017 |
| 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 |
| On the Interplay between Global Optimization and Machine Learning F Bagattini | | 2018 |
| New clustering methods for large scale global optimization L Tigli, F Bagattini, F Schoen Optimization and Decision Science, 25, 0 | | |
Fabio SchoenProfessor of Operations Research, University of Florence (Italy)Verified email at unifi.it
