Dario Malchiodi
Università degli Studi di Milano unimi
(professeur associé)
INRIA + UCA INRIA + UCA
(visiting scientist)
Data Science Research Centre DSRC
(scientific board)
prenom . nom arobase unimi . it
Dario Malchiodi| Infos |
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26/03/2025 teaching AMD Changement de salle de cours pour AMD À partir du 1 avril, les cours du mardi de «Algorithmes pour mégadonnées auront lieu dans la salle de cours «Laboratorio magistrale» au troisième étage du Département d'Informatique. Les cours du mercredit auront lieu dans la même salle à partir du 9 avril. Les horaires ne changeront pas. |
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26/03/2025 research Article accepté dans le «Computational and Structural Biotechnology» L'article «Fine-tuning of conditional transformers improves in silico enzyme prediction and generation», dont je suis auteur avec M. Nicolini, E. Saitto, R. E. Jimenez Franco, E. Cavalleri, A. J. Galeano Alfonso, A. Paccanaro, P. N. Robinson, E. Casiraghi et G. Valentini, a été accepté pour publication dans Computational and Structural Biotechnology Journal. |
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25/03/2025 research Article accepté à la Conférence EAAAI 2025 L'article «Quench detection and localization via interpretable machine learning», dont je suis auteur avec A. Biagiotti, S. Mariotto et L. Rossi, a été accepté à la Conférence EAAAI 2025. |
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20/03/2025 teaching AMD Changement de salle de cours pour AMD À partir du 1 avril, les cours de «Algorithmes pour mégadonnées auront lieu dans la salle de cours «Laboratorio magistrale» au troisième étage du Département d'Informatique. |
Enseignements
Licence, Master et Doctorat
- Algorithmes pour mégadonnées
@unimi master
2023-24
–
2024-25
- Algorithmes pour mégadonnées (DSE)
@unimi master 2023-24
–
2024-25
- Deep learning in bioinformatics
@unimi doctorat 2023-24
- Efficacy and efficiency evaluation of machine
learning models
@unimi doctorat 2023-24
- Statistique et analyse des données
@unimi licence
2023-24
–
2024-25
Recherche
Thématiques de recherche
- Induction d'ensembles flous
- Compression de modèles d'apprentissage automatique
- Fouille de bases de connaissances pour le Web sémantique
- Sélection d'exemples negatifs en bioinformatique
- Prévision du risque COVID-19 basée sur ML
- Application du ML en médecine vétérinaire et médico-légale
- Vulgarisation de la culture informatique
Projets
Tous les projetsPublications
[Nicolini et al., 2025] Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization, Computational and Structural Biotechnology Journal 27 (2025), 1318-1334 [doi> ]
[Biagiotti et al., 2025] Quench detection and localization via interpretable machine learning, in L. Iliadis, I. Maglogiannis, E. Kyriacou et C. Jayne (Eds.), Proceedings of the 26th Engineering Applications of Neural Networks Conference – EANN/EAAAI 2025., Cham: Springer, 2025, En presse []
[Malchiodi et al., 2025] One-class vs binary machine learning classification of ceramic samples described by chemical element concentrations, Journal of Cultural Heritage 71 (2025), 234-241 [doi> ]
[Paravisi et al., 2024] Security Analysis of Cryptographic Algorithms: Hints from Machine Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis et C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 569–580, 2024 [doi> ]
[Frasson and Malchiodi, 2024] Support Vector Based Anomaly Detection in Federated Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis et C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 274–287, 2024 [doi> ]
[Malchiodi et al., 2024] The role of classifiers and data complexity in learned Bloom filters: insights and recommendations, Journal of Big Data 11 - 45 (2024) [doi> ]
[Cavalleri et al., 2024] SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning , in Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, vldb.org, 1-11, 2024 []
[Nicolini et al., 2024] Fine-Tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins, in BIOSTEC 2024 - 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Proceedings, Vol. 1, SCITEPRESS (ISBN 978-989-758-688-0), 561-568, 2024 [doi> ]
[Gliozzo et al., 2024] Resource-Limited Automated Ki67 Index Estimation in Breast Cancer, in Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications (ICBRA '23), New York, NY, USA: ACM, 165–172, 2024 [doi> ]
[Valentini et al., 2023] The promises of large language models for protein design and modeling, Frontiers in Bioinformatics 3 (2023), 1304099 [doi> ]
[Marinò et al., 2023] Efficient and Compact Representations of Deep Neural Networks via Entropy Coding, IEEE Access 11 (2023), 106103—106125 [doi> ]
[Ruschioni et al., 2023] Supervised learning algorithms as a tool for archaeology: classification of ceramic samples described by chemical element concentrations, Journal of Archaeological Science: Reports 49 (2023), 103995 [doi> ]
[Malchiodi et al., 2023] A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne et E. Pimenidis (Eds.), Engineering Application of Neural Networks — 24th International Conference — EAAAI/EANN 2023 — León, Spain, June 14—17, 2023 —Proceedings, Springer Nature, Communications in Computer and Information Science 1826, 47—61, 2023 [doi> preprint ]
[Marinò et al., 2023a] Deep neural networks compression: a comparative survey and choice recommendations, Neurocomputing 520 (2023), 152—170 [doi> ]
[Condorelli and Malchiodi, 2022] Designing a Master Course on Architectures for Big Data: A Collaboration Between University and Industry, Informatics in Education 4 (2022), 635—653 [doi> ]
[Zanaboni et al., 2022] Classification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff et C. Distante (Eds.), Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022., Vol. 13373, Cham: Springer, Lecture Notes in Computer Science (ISBN 978-3-031-13320-6), 141—151, 2022 [doi> ]
[Fumagalli et al., 2022] On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters, in Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods — ICPRAM, SciTePress (ISBN 978-989-758-549-4), 675—682, 2022 [doi> ]
[Galizzi et al., 2021] Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease, BMC Veterinary Research 17 - 1 (2021), 1—14 [doi> ]
Toutes les publications