Các bài viết có thể truy cập công khai - Stefano MelacciTìm hiểu thêm
Bài viết đã ngừng công khai: 1
Learning logic explanations by neural networks
G Ciravegna, F Giannini, P Barbiero, M Gori, P Lio, M Maggini, S Melacci
Compendium of Neurosymbolic Artificial Intelligence, 547-558, 2023
Các cơ quan ủy nhiệm: European Commission, Agence Nationale de la Recherche, Government of Italy
Tác giả chịu trách nhiệm: G Ciravegna, F Giannini
Có tại một số nơi: 38
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
Các cơ quan ủy nhiệm: Bill & Melinda Gates Foundation, Research Foundation (Flanders), UK …
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
Các cơ quan ủy nhiệm: European Commission
Logic explained networks
G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci
Artificial Intelligence 314, 103822, 2023
Các cơ quan ủy nhiệm: European Commission, Agence Nationale de la Recherche, Government of Italy
Foundations of support constraint machines
G Gnecco, M Gori, S Melacci, M Sanguineti
Neural computation 27 (2), 388-480, 2015
Các cơ quan ủy nhiệm: Government of Italy
Human-Driven FOL Explanations of Deep Learning
G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci
IJCAI, 2234-2240, 2020
Các cơ quan ủy nhiệm: Government of Italy
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, 2021
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche, Government of Italy
Deep constraint-based propagation in graph neural networks
M Tiezzi, G Marra, S Melacci, M Maggini
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 727-739, 2021
Các cơ quan ủy nhiệm: Research Foundation (Flanders), Government of Italy
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
Các cơ quan ủy nhiệm: Government of Italy
Cognitive action laws: The case of visual features
A Betti, M Gori, S Melacci
IEEE transactions on neural networks and learning systems 31 (3), 938-949, 2019
Các cơ quan ủy nhiệm: European Commission
Learning with mixed hard/soft pointwise constraints
G Gnecco, M Gori, S Melacci, M Sanguineti
IEEE transactions on neural networks and learning systems 26 (9), 2019-2032, 2014
Các cơ quan ủy nhiệm: Government of Italy
A lagrangian approach to information propagation in graph neural networks
M Tiezzi, G Marra, S Melacci, M Maggini, M Gori
ECAI 2020, 1539-1546, 2020
Các cơ quan ủy nhiệm: Government of Italy
Jointly learning to detect emotions and predict facebook reactions
L Graziani, S Melacci, M Gori
Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019
Các cơ quan ủy nhiệm: European Commission
Local propagation in constraint-based neural networks
G Marra, M Tiezzi, S Melacci, A Betti, M Maggini, M Gori
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Các cơ quan ủy nhiệm: Government of Italy
Focus of attention improves information transfer in visual features
M Tiezzi, S Melacci, A Betti, M Maggini, M Gori
Advances in Neural Information Processing Systems 33, 22194-22204, 2020
Các cơ quan ủy nhiệm: Government of Italy
Sailenv: Learning in virtual visual environments made simple
E Meloni, L Pasqualini, M Tiezzi, M Gori, S Melacci
2020 25th international conference on pattern recognition (icpr), 8906-8913, 2021
Các cơ quan ủy nhiệm: Government of Italy
Learning visual features under motion invariance
A Betti, M Gori, S Melacci
Neural Networks 126, 275-299, 2020
Các cơ quan ủy nhiệm: Government of Italy
Continual unsupervised learning for optical flow estimation with deep networks
S Marullo, M Tiezzi, A Betti, L Faggi, E Meloni, S Melacci
Conference on Lifelong Learning Agents, 183-200, 2022
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche, Government of Italy
Deep Learning to See: Towards New Foundations of Computer Vision
A Betti, M Gori, S Melacci
Springer Nature, 2022
Các cơ quan ủy nhiệm: Agence Nationale de la Recherche
Evaluating continual learning algorithms by generating 3d virtual environments
E Meloni, A Betti, L Faggi, S Marullo, M Tiezzi, S Melacci
International Workshop on Continual Semi-Supervised Learning, 62-74, 2021
Các cơ quan ủy nhiệm: Government of Italy
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ