MALCHIODI, DARIO
MALCHIODI, DARIO
Dipartimento di Informatica Giovanni Degli Antoni
Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, P.N. Robinson, J. Reese, E. Casiraghi, G. Valentini
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations
2024 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
Fine-tuning of Conditional Transformers Improves the Generalization of Functionally Characterized Proteins
2024 M. Nicolini, D. Malchiodi, A. Cabri, E. Cavalleri, M. Mesiti, A. Paccanaro, N. Robinson Peter, J. Reese, E. Casiraghi, G. Valentini
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
2024 J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca, D. Malchiodi
Supervised learning algorithms as a tool for archaeology: Classification of ceramic samples described by chemical element concentrations
2023 G. Ruschioni, D. Malchiodi, A.M. Zanaboni, L. Bonizzoni
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials
2023 D. Malchiodi, D. Raimondi, G. Fumagalli, R. Giancarlo, M. Frasca
Deep neural networks compression: A comparative survey and choice recommendations
2023 G.C. Marinó, A. Petrini, D. Malchiodi, M. Frasca
The promises of large language models for protein design and modeling
2023 G. Valentini, D. Malchiodi, J. Gliozzo, M. Mesiti, M. Soto Gomez, A. Cabri, J. Reese, E. Casiraghi, P.N. Robinson
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
2023 G. Cataldo Marinò, F. Furia, D. Malchiodi, M. Frasca
Classification of Pottery Fragments Described by Concentration of Chemical Elements
2022 A. Zanaboni, D. Malchiodi, L. Bonizzoni, G. Ruschioni
Designing a master course on architectures for big data : a collaboration between University and industry
2022 A. Condorelli, D. Malchiodi
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
2022 M. Frasca, D. Malchiodi, R. Giancarlo, D. Raimondi, G. Fumagalli
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks
2021 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System
2021 A. Esposito, E. Casiraghi, F. Chiaraviglio, A. Scarabelli, E. Stellato, G. Plensich, G. Lastella, L. Di Meglio, S. Fusco, E. Avola, A. Jachetti, C. Giannitto, D. Malchiodi, M. Frasca, A. Beheshti, P.N. Robinson, G. Valentini, L. Forzenigo, G. Carrafiello
Multiple retrospective analysis of survival and evaluation of cardiac death predictors in a population of dogs affected by degenerative mitral valve disease in ACVIM class C treated with different therapeutic protocols
2021 M. Bagardi, C. Locatelli, A.M. Zanaboni, A. Galizzi, D. Malchiodi, G. Brambilla Paola
A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles
2021 M. Casali, D. Malchiodi, C. Spada, A.M. Zanaboni, R. Cotroneo, D. Furci, A. Sommariva, U. Genovese, A. Blandino
Factors affecting the urinary aldosterone-to-creatinine ratio in healthy dogs and dogs with naturally occurring myxomatous mitral valve disease
2021 A. Galizzi, M. Bagardi, A. Stranieri, A.M. Zanaboni, D. Malchiodi, V. Borromeo, P.G.M. Brambilla, C. Locatelli
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments
2020 E. Casiraghi, D. Malchiodi, G. Trucco, M. Frasca, L. Cappelletti, F. Tommaso, A.A. Esposito, E. Avola, A. Jachetti, J. Reese, A. Rizzi, P.N. Robinson, G. Valentini
Algomotricità: manipolare i fondamenti dell’informatica
2020 C. Bellettini, V. Lonati, D. Malchiodi, M. Monga, A. Morpurgo
Simultaneous Learning of Fuzzy Sets
2020 L. Cermenati, D. Malchiodi, A.M. Zanaboni