| An Individual’s Connection to Nature Can Affect Perceived Restorativeness of Natural Environments. Some Observations about Biophilia R Berto, G Barbiero, P Barbiero, G Senes Behavioral Sciences 8 (3), 34, 2018 | 28 | 2018 |
| Supervised Gene Identification in Colorectal Cancer P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo Italian Workshop on Neural Networks (WIRN 2017), 2017 | 8 | 2017 |
| Unsupervised Gene Identification in Colorectal Cancer P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo WIRN (Italian Workshop on Neural Networks), Vietri sul Mare, Italy, 2017 | 8 | 2017 |
| Assessing discriminating capability of geometrical descriptors for 3D face recognition by using the GH-EXIN neural network G Ciravegna, G Cirrincione, F Marcolin, P Barbiero, N Dagnes, E Piccolo Neural Approaches to Dynamics of Signal Exchanges, 223-233, 2020 | 3 | 2020 |
| The GH-EXIN neural network for hierarchical clustering G Cirrincione, G Ciravegna, P Barbiero, V Randazzo, E Pasero Neural Networks 121, 57-73, 2020 | 2 | 2020 |
| DNA Microarray Classification: Evolutionary Optimization of Neural Network Hyper-parameters P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Piccolo Neural Approaches to Dynamics of Signal Exchanges, 305-311, 2020 | 2 | 2020 |
| Neural Biclustering in Gene Expression Analysis P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo CSCI'17 (The 2017 International Conference on Computational Science and …, 2017 | 2 | 2017 |
| Fundamental Flowers: Evolutionary Discovery of Coresets for Classification P Barbiero, A Tonda International Conference on the Applications of Evolutionary Computation …, 2019 | 1 | 2019 |
| Understanding Cancer Phenomenon at Gene-Expression Level by using a Shallow Neural Network Chain P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Piccolo, A Tonda Italian Workshop on Neural Networks (WIRN 2018) 6, 2018 | 1 | 2018 |
| Shallow versus Deep Neural Networks in Gear Fault Diagnosis G Cirrincione, RR Kumar, A Mohammadi, SH Kia, P Barbiero, J Ferretti IEEE Transactions on Energy Conversion, 2020 | | 2020 |
| Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms P Barbiero, G Squillero, A Tonda arXiv preprint arXiv:2002.08645, 2020 | | 2020 |
| A Novel Outlook on Feature Selection as a Multi-objective Problem P Barbiero, E Lutton, G Squillero, A Tonda International Conference on Artificial Evolution (Evolution Artificielle), 68-81, 2019 | | 2019 |
| Novel Neural Techniques for Gene Expression Analysis in Cancer Prognosis P Barbiero Politecnico di Torino, 2019 | | 2019 |
| Evolutionary discovery of coresets for classification P Barbiero, G Squillero, A Tonda Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | | 2019 |
| Beyond coreset discovery: evolutionary archetypes P Barbiero, G Squillero, A Tonda Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019 | | 2019 |
| Making Sense of Economics Datasets with Evolutionary Coresets P Barbiero, A Tonda The International Conference on Decision Economics, 162-170, 2019 | | 2019 |
| Generating Neural Archetypes to Instruct Fast and Interpretable Decisions P Barbiero, G Ciravegna, G Cirrincione, A Tonda, G Squillero The International Conference on Decision Economics, 45-52, 2019 | | 2019 |
| Neural Epistemology in Dynamical System Learning P Barbiero, C Giansalvo, C Maurizio, P Elio, V Francesco Italia Workshop on Neural Networks, 2018 | | 2018 |
| Neural Epistemology in Time Series Learning P Barbiero | | |
| Novel Neural Techniques for Gene Expression Analysis in Cancer Prognosis E Piccolo, G Cirrincione, A Tonda, P Barbiero, G Ciravegna | | |
Gabriele CiravegnaPhD student, SAILAB, University of SienaEmail verificata su unifi.it
