FRASCA, MARCO
FRASCA, MARCO
Dipartimento di Informatica Giovanni Degli Antoni
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
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
2024 J. Gliozzo, G. Marinò, A. Bonometti, M. Frasca, D. Malchiodi
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding
2023 G. Cataldo Marinò, F. Furia, D. Malchiodi, M. Frasca
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
Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach
2023 L. Ferrè, F. Clarelli, B. Pignolet, E. Mascia, M. Frasca, S. Santoro, M. Sorosina, F. Bucciarelli, L. Moiola, V. Martinelli, G. Comi, R. Liblau, M. Filippi, G. Valentini, F. Esposito
On Nonlinear Learned String Indexing
2023 P. Ferragina, M. Frasca, G. Cataldo Marinò, G. Vinciguerra
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web
2023 P. Perlasca, M. Frasca, C.T. Ba, J. Gliozzo, M. Notaro, M. Pennacchioni, G. Valentini, M. Mesiti
Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease
2022 V. Quarato, S. D'Antona, P. Battista, R. Zupo, R. Sardone, I. Castiglioni, D. Porro, M. Frasca, C. Cava
Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction
2022 G.D. Santo, M. Frasca, G. Bertoli, I. Castiglioni, C. Cava
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
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction
2021 M. Notaro, M. Frasca, A. Petrini, J. Gliozzo, E. Casiraghi, P.N. Robinson, G. Valentini
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
Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles
2021 C. Cava, M. Pisati, M. Frasca, I. Castiglioni
Compression strategies and space-conscious representations for deep neural networks
2020 G.C. Marino, G. Ghidoli, M. Frasca, D. Malchiodi
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks
2020 C.T. Ba, E. Casiraghi, M. Frasca, J. Gliozzo, G. Grossi, M. Mesiti, M. Notaro, P. Perlasca, A. Petrini, M. Re', G. Valentini
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions
2020 M. Frasca, M. Sepehri, A. Petrini, G. Grossi, G. Valentini
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
2020 J. Gliozzo, P. Perlasca, M. Mesiti, E. Casiraghi, V. Vallacchi, E. Vergani, M. Frasca, G. Grossi, A. Petrini, M. Re, A. Paccanaro, G. Valentini
Multitask Hopfield Networks
2020 M. Frasca, G. Grossi, G. Valentini