Francesco Bagattini
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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), 1-20, 2019
Clustering methods for the optimization of atomic cluster structure
F Bagattini, F Schoen, L Tigli
The Journal of Chemical Physics 148 (14), 144102, 2018
Clustering methods for large scale geometrical global optimization
F Bagattini, F Schoen, L Tigli
Optimization Methods and Software 34 (5), 1099-1122, 2019
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
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
On the Interplay between Global Optimization and Machine Learning
F Bagattini, F Schoen, M Sciandrone, L Chisci
New clustering methods for large scale global optimization
L Tigli, F Bagattini, F Schoen
Optimization and Decision Science, 25, 0
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Artiklar 1–7