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 areasProjects
All projectsPublications
[Malchiodi et al., 2024] |
Malchiodi Dario, Zanaboni Anna M., Di Gioacchino Alessandro
and
Bonizzoni Letizia One-class vs binary machine learning classification of ceramic
samples described by chemical element concentrations,
Journal of Cultural Heritage
(2024),
in press
[doi> BIBTEX]
|
[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., 2024a] |
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