Gabriele Ciravegna
Gabriele Ciravegna
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Concept embedding models: Beyond the accuracy-explainability trade-off
M Espinosa Zarlenga, P Barbiero, G Ciravegna, G Marra, F Giannini, ...
Advances in Neural Information Processing Systems 35, 21400-21413, 2022
Entropy-based logic explanations of neural networks
P Barbiero, G Ciravegna, F Giannini, P Lió, M Gori, S Melacci
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6046-6054, 2022
Logic explained networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci
Artificial Intelligence 314, 103822, 2023
Human-driven FOL explanations of deep learning
G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci
IJCAI 2021, 2234-2240, 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
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
S Melacci, G Ciravegna, A Sotgiu, A Demontis, B Biggio, M Gori, F Roli
IEEE Transactions on Pattern Analysis and Machine Intelligence, 10.1109 …, 2021
Concept distillation in graph neural networks
LC Magister, P Barbiero, D Kazhdan, F Siciliano, G Ciravegna, F Silvestri, ...
World Conference on Explainable Artificial Intelligence, 233-255, 2023
A survey on data integration for multi-omics sample clustering
M Lovino, V Randazzo, G Ciravegna, P Barbiero, E Ficarra, G Cirrincione
Neurocomputing 488, 494-508, 2022
A constraint-based approach to learning and explanation
G Ciravegna, F Giannini, S Melacci, M Maggini, M Gori
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3658-3665, 2020
Graph Neural Networks for Graph Drawing
M Tiezzi, G Ciravegna, M Gori
IEEE Transactions on Neural Networks and Learning Systems, 1 - 14, 2022
Interpretable neural-symbolic concept reasoning
P Barbiero, G Ciravegna, F Giannini, ME Zarlenga, LC Magister, A Tonda, ...
International Conference on Machine Learning, 1801-1825, 2023
Neural biclustering in gene expression analysis
B Pietro, C Gabriele, E Piccolo, C Giansalvo, C Maurizio, A Bertotti
2017 International Conference on Computational Science and Computational …, 2017
Extending logic explained networks to text classification
R Jain, G Ciravegna, P Barbiero, F Giannini, D Buffelli, P Lio
arXiv preprint arXiv:2211.09732, 2022
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
Italian Workshop on Neural Networks (WIRN 2018), 2018
Concept-based explainable artificial intelligence: A survey
E Poeta, G Ciravegna, E Pastor, T Cerquitelli, E Baralis
arXiv preprint arXiv:2312.12936, 2023
Encryption-agnostic classifiers of traffic originators and their application to anomaly detection
D Canavese, L Regano, C Basile, G Ciravegna, A Lioy
Computers & Electrical Engineering 97, 107621, 2022
Unsupervised gene identification in colorectal cancer
P Barbiero, A Bertotti, G Ciravegna, G Cirrincione, E Pasero, E Piccolo
Quantifying and Processing Biomedical and Behavioral Signals 27, 219-227, 2019
Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network
V Randazzo, G Cirrincione, G Ciravegna, E Pasero
2018 International Joint Conference on Neural Networks (IJCNN), 1-6, 2018
Data set and machine learning models for the classification of network traffic originators
D Canavese, L Regano, C Basile, G Ciravegna, A Lioy
Data in Brief 41, 107968, 2022
Knowledge-driven active learning
G Ciravegna, F Precioso, A Betti, K Mottin, M Gori
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
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