Dario Malchiodi
Università degli Studi di Milano unimi
(professore associato)
INRIA + UCA INRIA + UCA
(visiting scientist)
Data Science Research Centre DSRC
(scientific board)
nome . cognome at unimi . it
Dario Malchiodi| Avvisi |
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26/03/2025 teaching AMD Modifica aula lezioni AMD A partire dal 1 aprile le lezioni del martedì dell'insegnamento di «Algorithms for massive datasets» avranno luogo nel «Laboratorio magistrale» al terzo piano del Dipartimento di Informatica. Le lezioni del mercoledì avranno luogo presso la stessa aula a partire dal 9 aprile. Gli orari delle lezioni rimarranno invariati. |
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26/03/2025 research Lavoro accettato su «Computational and Structural Biotechnology» L'articolo «Fine-tuning of conditional transformers improves in silico enzyme prediction and generation», di cui sono coautore insieme a M. Nicolini, E. Saitto, R. E. Jimenez Franco, E. Cavalleri, A. J. Galeano Alfonso, A. Paccanaro, P. N. Robinson, E. Casiraghi e G. Valentini, è stato accettato dal Computational and Structural Biotechnology Journal. |
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25/03/2025 research Lavoro accettato alla Conferenza EAAAI 2025 L'articolo «Quench detection and localization via interpretable machine learning», di cui sono autore insieme a A. Biagiotti, S. Mariotto e L. Rossi è stato accettato alla conferenza EAAAI 2025. |
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20/03/2025 teaching AMD Modifica aula lezioni AMD A partire dal 1 aprile le lezioni dell'insegnamento di «Algorithms for massive datasets» avranno luogo nel «Laboratorio magistrale» al terzo piano del Dipartimento di Informatica. |
Attività didattiche
Corsi di laurea e dottorato
- Algoritmi per dati su larga scala
@unimi laurea magistrale
2023-24
–
2024-25
- Algoritmi per dati su larga scala (DSE)
@unimi laurea magistrale 2023-24
–
2024-25
- Deep learning in bioinformatics
@unimi dottorato 2023-24
- Efficacy and efficiency evaluation of machine
learning models
@unimi dottorato 2023-24
- Statistica e analisi dei dati
@unimi laurea
2023-24
–
2024-25
Ricerca
Tematiche di ricerca
- Induzione di insiemi fuzzy
- Compressione di modelli di machine learning
- Mining di basi di conoscenza nel Web semantico
- Selezione di esempi negativi in ambito bioinformatico
- Previsione del rischio COVID-19 basata su ML
- Applicazione di ML in ambito veterinario e forense
- Divulgazione della cultura informatica
Progetti
Tutti i progettiPubblicazioni
[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 e C. Jayne (Eds.), Proceedings of the 26th Engineering Applications of Neural Networks Conference – EANN/EAAAI 2025., Cham: Springer, 2025, In stampa []
[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 e 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 e 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 e 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 e 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> ]
Tutte le pubblicazioni