Stefano Melacci

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Marco GoriProfessor of Computer Science, University of SienaVerified email at dii.unisi.it
Marco MagginiProfessor of Computer Science, University of SienaVerified email at unisi.it
Alessandro BettiScuola IMT Alti Studi LuccaVerified email at unisi.it
Matteo TiezziPostdoctoral Researcher, Italian Institute of TechnologyVerified email at iit.it
Gabriele CiravegnaPolitecnico di TorinoVerified email at polito.it
Giuseppe MarraKU LeuvenVerified email at kuleuven.be
Francesco GianniniScuola Normale Superiore, PisaVerified email at sns.it
Marcello SanguinetiDIBRIS - Universita' di GenovaVerified email at unige.it
Giorgio GneccoFull Professor (with 4 Full Professor Qualifications), IMT LuccaVerified email at imtlucca.it
Pietro BarbieroUniversita' della Svizzera Italiana - University of CambridgeVerified email at cam.ac.uk
Pietro LiòProfessor, University of CambridgeVerified email at cam.ac.uk
Simone MarulloUniversity of Florence, University of SienaVerified email at unifi.it
Lorenzo SartiMaior SrlVerified email at maior.it
Marco LippiUniversity of FlorenceVerified email at unifi.it
Lapo FaggiPh.D. Student, University of Florence and University of SienaVerified email at unifi.it
Enrico MeloniPhD, Lead AI EngineerVerified email at unifi.it
Frédéric PreciosoUniversite Cote d'AzurVerified email at unice.fr
Andrea ZugariniExpert.ai, University of SienaVerified email at unifi.it
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
Dario ZancaHead of Applied Machine Learning Group @ MaD Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de

Stefano Melacci

Associate Professor, University of Siena, Italy

Verified email at diism.unisi.it - Homepage

Machine Learning Artificial Intelligence Natural Language Processing Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Laplacian Support Vector Machines Trained in the Primal S Melacci, M Belkin Journal of Machine Learning Research 12, 1149-1184, 2011	426	2011
Machine Learning: A constraint-based approach M Gori, A Betti, S Melacci Elsevier, 2023	137	2023
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	117*	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	75	2022
Logic explained networks G Ciravegna, P Barbiero, F Giannini, M Gori, P Lió, M Maggini, S Melacci Artificial Intelligence 314, 103822, 2023	71	2023
Gravitational laws of focus of attention D Zanca, S Melacci, M Gori IEEE transactions on pattern analysis and machine intelligence 42 (12), 2983 …, 2019	51	2019
Foundations of support constraint machines G Gnecco, M Gori, S Melacci, M Sanguineti Neural computation 27 (2), 388-480, 2015	50	2015
Human-Driven FOL Explanations of Deep Learning G Ciravegna, F Giannini, M Gori, M Maggini, S Melacci IJCAI, 2234-2240, 2020	39	2020
Neural poetry: Learning to generate poems using syllables A Zugarini, S Melacci, M Maggini Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019	39	2019
A template-based approach to automatic face enhancement S Melacci, L Sarti, M Maggini, M Gori Pattern Analysis & Applications 13 (3), 289-300, 2010	34	2010
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	32*	2021
Unsupervised Learning by Minimal Entropy Encoding S Melacci, M Gori IEEE Transactions on Neural Networks and Learning Systems 23 (12), 1849-1861, 2012	28	2012
A neural network approach to similarity learning S Melacci, L Sarti, M Maggini, M Bianchini Artificial Neural Networks in Pattern Recognition, 133-136, 2008	27	2008
Constraint Verification With Kernel Machines M Gori, S Melacci IEEE Transactions on Neural Networks and Learning Systems 24 (5), 825-831, 2013	26	2013
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	24*	2021
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	23	2019
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	22	2014
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	21	2020
Learning from pairwise constraints by similarity neural networks M Maggini, S Melacci, L Sarti Neural Networks 23, 141-158, 2011	21	2011
Semi–supervised Learning with Constraints for Multi–view Object Recognition S Melacci, M Maggini, M Gori Artificial Neural Networks–ICANN 2009, 653-662, 2009	19	2009

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