Pietro Barbiero, P Barbiero, Pietro B
Pietro Barbiero, P Barbiero, Pietro B
University of Cambridge
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Titolo
Citata da
Citata da
Anno
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
602018
Forecasting ultra-early intensive care strain from COVID-19 in England
J Deasy, E Rocheteau, K Kohler, DJ Stubbs, P Barbiero, P Li˛, A Ercole
medRxiv, 2020
202020
The GH-EXIN neural network for hierarchical clustering
G Cirrincione, G Ciravegna, P Barbiero, V Randazzo, E Pasero
Neural Networks 121, 57-73, 2020
16*2020
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
92017
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 35 (3), 1338-1347, 2020
82020
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
72020
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 andá…, 2017
7*2017
Modeling Generalization in Machine Learning: A Methodological and Computational Study
P Barbiero, G Squillero, A Tonda
arXiv preprint arXiv:2006.15680, 2020
52020
Discovering hierarchical neural archetype sets
G Ciravegna, P Barbiero, G Cirrincione, G Squillero, A Tonda
Progresses in Artificial Intelligence and Neural Systems, 255-267, 2021
32021
The Computational Patient has Diabetes and a COVID
P Barbiero, P Liˇ
arXiv preprint arXiv:2006.06435, 2020
32020
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition
F Nonis, P Barbiero, G Cirrincione, EC Olivetti, F Marcolin, E Vezzetti
Progresses in Artificial Intelligence and Neural Systems, 281-290, 2020
32020
Fundamental flowers: evolutionary discovery of coresets for classification
P Barbiero, A Tonda
International Conference on the Applications of Evolutionary Computationá…, 2019
3*2019
LENs: a Python library for Logic Explained Networks
P Barbiero, G Ciravegna, D Georgiev, F Giannini
arXiv preprint arXiv:2105.11697, 2021
22021
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
Neural Approaches to Dynamics of Signal Exchanges, 281-290, 2020
22020
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
22020
Logic Explained Networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Liˇ, M Maggini, S Melacci
arXiv preprint arXiv:2108.05149, 2021
12021
Entropy-based Logic Explanations of Neural Networks
P Barbiero, G Ciravegna, F Giannini, P Liˇ, M Gori, S Melacci
arXiv preprint arXiv:2106.06804, 2021
12021
Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin
P Barbiero, RV TornÚ, P Liˇ
Frontiers in genetics 12, 2021
12021
Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study
J Ferretti, P Barbiero, V Randazzo, G Cirrincione, E Pasero
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
12020
Uncovering Coresets for Classification With Multi-Objective Evolutionary Algorithms
P Barbiero, G Squillero, A Tonda
arXiv preprint arXiv:2002.08645, 2020
12020
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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