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
Tutte le tematicheProgetti
Tutti i progettiPubblicazioni
[Malchiodi et al., 2024] |
Malchiodi Dario, Zanaboni Anna M., Di Gioacchino Alessandro
e
Bonizzoni Letizia One-class vs binary machine learning classification of ceramic
samples described by chemical element concentrations,
Journal of Cultural Heritage
(2024),
in stampa
[doi> BIBTEX]
|
[Paravisi et al., 2024] |
Paravisi Mattia, Visconti Andrea
e
Malchiodi Dario 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> BIBTEX]
|
[Frasson and Malchiodi, 2024] |
Frasson Marco
e
Malchiodi Dario 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> BIBTEX]
|
[Malchiodi et al., 2024a] |
Malchiodi Dario, Raimondi Davide, Fumagalli Giacomo, Giancarlo Raffaele
e
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
e
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
e
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
e
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
e
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.
e
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
e
Frasca Marco 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 BIBTEX]
|
[Marinò et al., 2023a] |
Marinò Giosuè C., Petrini Alessandro, Malchiodi Dario
e
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
e
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
e
Ruschioni Giulia 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> BIBTEX]
|
[Fumagalli et al., 2022] |
Fumagalli Giacomo, Raimondi Davide, Giancarlo Raffaele, Malchiodi Dario
e
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.
e
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]
|
Tutte le pubblicazioni