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Dario Malchiodi

Università degli Studi di Milano unimi
(associate professor)
INRIA + UCA INRIA + UCA
(visiting scientist)
Data Science Research Centre DSRC
(scientific board)


News
19/11/2024 research
Accepted poster in the «ELLIS ML for Molecules and Materials in the Era of LLMs» workshop
The paper «In silico enzyme prediction and generation by fine tuning protein language models», wich I coauthored with M. Nicolini, E. Saitto, R. Franco, E. Cavalleri, M. Mesiti, A. Paccanaro, P. Robinson, E. Casiraghi and G. Valentini has been accepted for poster presentation at the «ELLIS ML for Molecules and Materials in the Era of LLMs» workshop.
12/11/2024 research
Accepted paper in the «International Journal of Legal Medicine»
The paper «Fatal fall from a height: is it possible to apply artificial intelligence techniques for height estimation?», wich I coauthored with A. Blandino, A.M. Zanaboni, M. Casali, C. Spada and C. Di Francesco, has been accepted for publication in the International Journal of Legal Medicine.
19/09/2024 teaching SAD
September oral tests of Statistics and data analysis
The oral tests of Statistics and data analysis for the september session results will take place in the Computer Science Department, on Monday 23/9 at 9:00 (lab. magistrale on the floor), on Tuesday 24/9 at 9:30 (meeting room on the fifth floor), and on Wednesday 25/9 at 14:30 (Lab. magistrale on the fifth floor). The public correction of the exam will take place on 25/9 at the end of the oral tests.
25/07/2024 teaching AMD
Joint project for the «Algorithms for massive datasets» and «Statistical methods for machine learning» courses (Master in Computer Science)
The description of a joint project for the courses «Algorithms for massive datasets» and «Statistical methods for machine learrning» for the Master in «Computer Science» is available.
Older news

Teaching activities


Bachelor, master and PhD

  • Algorithms for massive data (DSE) @unimi master Lectures are in English 2022-232023-24
  • Algorithms for massive datasets @unimi master Lectures are in English 2022-232023-24
  • Deep learning in bioinformatics @unimi PhD Lectures are in English 2023-24
  • Efficacy and efficiency evaluation of machine learning models @unimi PhD Lectures are in English 2023-24
  • Statistics and data analytics @unimi bachelor Lectures are in italian 2022-232023-24
All activities

Research


Research areas

  • Data-driven induction of fuzzy sets
  • Compression of machine learning models
  • Mining of knowledge bases in semantic Web
  • Negative example selection in bioinformatics
  • ML-based COVID-19 risk prediction
  • Application of ML in veterinary and forensics
  • Popularization of informatics culture
All areas

Projects

All projects

Publications


[Paravisi et al., 2024] Paravisi Mattia, Visconti Andrea and Malchiodi Dario Security Analysis of Cryptographic Algorithms: Hints from Machine Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis and C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 569–580, 2024 [doi> BIBTEX]

[Frasson and Malchiodi, 2024] Frasson Marco and Malchiodi Dario Support Vector Based Anomaly Detection in Federated Learning, in L. Iliadis, I. Maglogiannis, A. Papaleonidas, E. Pimenidis and C. Jayne (Eds.), Engineering Applications of Neural Networks. EANN 2024., Vol. 2141, Cham: Springer, Communications in Computer and Information Science, 274–287, 2024 [doi> BIBTEX]

[Malchiodi et al., 2024] Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele and Frasca Marco The role of classifiers and data complexity in learned Bloom filters: insights and recommendations, Journal of Big Data 11 - 45 (2024) [doi> BIBTEX]

[Nicolini et al., 2024] Nicolini Marco, Malchiodi Dario, Cabri Alberto, Cavalleri Emanuele, Mesiti Marco, Paccanaro Alberto, Robinson Peter N., Reese Justin, Casiraghi Elena and Valentini Giorgio 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> BIBTEX]

[Gliozzo et al., 2024] Gliozzo Jessica, Marinò Giosuè, Bonometti Arturo, Frasca Marco and Malchiodi Dario 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> BIBTEX]

[Valentini et al., 2023] Valentini Giorgio, Malchiodi Dario, Gliozzo Jessica, Mesiti Marco, Soto-Gomez Mauricio, Cabri Alberto, Reese Justin, Casiraghi Elena and Robinson Peter N. The promises of large language models for protein design and modeling, Frontiers in Bioinformatics 3 (2023), 1304099 [doi> BIBTEX]

[Marinò et al., 2023] Marinò Giosuè C., Furia Flavio, Malchiodi Dario and Frasca Marco Efficient and Compact Representations of Deep Neural Networks via Entropy Coding, IEEE Access 11 (2023), 106103—106125 [doi> BIBTEX]

[Ruschioni et al., 2023] Ruschioni Giulia, Malchiodi Dario, Zanaboni Anna M. and Bonizzoni Letizia 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> BIBTEX]

[Malchiodi et al., 2023] Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele and Frasca Marco A Critical Analysis of Classifier Selection in Learned Bloom Filters: the Essentials, in L. Iliadis, I. Maglogiannis, S. Alonso Castro, C. Jayne and 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 BIBTEX]

[Marinò et al., 2023a] Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario and Frasca Marco Deep neural networks compression: a comparative survey and choice recommendations, Neurocomputing 520 (2023), 152—170 [doi> BIBTEX]

[Condorelli and Malchiodi, 2022] Condorelli Andrea and Malchiodi Dario Designing a Master Course on Architectures for Big Data: A Collaboration Between University and Industry, Informatics in Education 4 (2022), 635—653 [doi> BIBTEX]

[Zanaboni et al., 2022] Zanaboni Anna M., Malchiodi Dario, Bonizzoni Letizia and Ruschioni Giulia Classification of Pottery Fragments Described by Concentration of Chemical Elements, in P. L. Mazzeo, E. Frontoni, S. Sclaroff and 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> BIBTEX]

[Fumagalli et al., 2022] Fumagalli Giacomo, Raimondi Davide, Giancarlo Raffaele, Malchiodi Dario and Frasca Marco 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> BIBTEX]

[Galizzi et al., 2021] Galizzi Alberto, Bagardi Mara, Stranieri Angelica, Zanaboni Anna M., Malchiodi Dario, Borromeo Vitaliano, Brambilla Paola G. and Locatelli Chiara 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> BIBTEX]

All publications