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Author search results
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- Marco Frasca — disambiguation page
- Marco Frasca 0001
University of Milan, Italy - Marco Frasca 0002
MBDA Italia S.p.A., Rome, Italy
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Publication search results
found 71 matches
- 2024
- Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations. J. Big Data 11(1): 45 (2024) - Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi:
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. CoRR abs/2401.00014 (2024) - 2023
- Paolo Ferragina, Marco Frasca, Giosuè Cataldo Marinò, Giorgio Vinciguerra:
On Nonlinear Learned String Indexing. IEEE Access 11: 74021-74034 (2023) - Giosuè Cataldo Marinò, Flavio Furia, Dario Malchiodi, Marco Frasca:
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding. IEEE Access 11: 106103-106125 (2023) - Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca:
Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing 520: 152-170 (2023) - Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials. EANN 2023: 47-61 - Jessica Gliozzo, Giosuè Cataldo Marinò, Arturo Bonometti, Marco Frasca, Dario Malchiodi:
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer. ICBRA 2023: 165-172 - 2022
- Fabrizio Frasca, Matteo Matteucci, Michele Leone, Marco J. Morelli, Marco Masseroli:
Accurate and highly interpretable prediction of gene expression from histone modifications. BMC Bioinform. 23(1): 151 (2022) - Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca:
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. ICPRAM 2022: 675-682 - Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Jessica Gliozzo, Marco Notaro, Mario Pennacchioni, Giorgio Valentini, Marco Mesiti:
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web. ICWE Workshops 2022: 192-197 - Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca:
A Critical Analysis of Classifier Selection in Learned Bloom Filters. CoRR abs/2211.15565 (2022) - 2021
- Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini:
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. Bioinform. 37(23): 4526-4533 (2021) - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks. RRPR 2021: 161-166 - Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca:
Compact representations of convolutional neural networks via weight pruning and quantization. CoRR abs/2108.12704 (2021) - Giacomo Fumagalli, Davide Raimondi, Raffaele Giancarlo, Dario Malchiodi, Marco Frasca:
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters. CoRR abs/2112.06563 (2021) - 2020
- Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini:
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8: 196299-196325 (2020) - Sebastiano Vascon, Marco Frasca, Rocco Tripodi, Giorgio Valentini, Marcello Pelillo:
Protein function prediction as a graph-transduction game. Pattern Recognit. Lett. 134: 96-105 (2020) - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Compression strategies and space-conscious representations for deep neural networks. ICPR 2020: 9835-9842 - Giosuè Cataldo Marinò, Gregorio Ghidoli, Marco Frasca, Dario Malchiodi:
Compression strategies and space-conscious representations for deep neural networks. CoRR abs/2007.07967 (2020) - 2019
- Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini, Elena Casiraghi, Giuliano Grossi, Jessica Gliozzo, Giorgio Valentini, Marco Mesiti:
UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. BMC Bioinform. 20(1): 422:1-422:19 (2019) - Marco Frasca, Asatur Zh. Khurshudyan:
A general representation for the Green's function of second-order nonlinear differential equations. Comput. Math. Methods 1(4) (2019) - Marco Frasca, Nicolò Cesa-Bianchi:
Multitask Protein Function Prediction through Task Dissimilarity. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1550-1560 (2019) - Maryam Sepehri, Marco Frasca:
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples. ICBET 2019: 294-301 - Maria Teresa Pellecchia, Maria Frasca, Alessia Auriemma Citarella, Michele Risi, Rita Francese, Genoveffa Tortora, Fabiola De Marco:
Identifying Correlations among Biomedical Data through Information Retrieval Techniques. IV (1) 2019: 269-274 - Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. ECML/PKDD (2) 2019: 349-365 - Marco Frasca, Giuliano Grossi, Giorgio Valentini:
Multitask Hopfield Networks. CoRR abs/1904.05098 (2019) - 2018
- Paolo Boldi, Marco Frasca, Dario Malchiodi:
Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19-S(14): 115-126 (2018) - Paolo Boldi, Marco Frasca, Dario Malchiodi:
Correction to: Evaluating the impact of topological protein features on the negative examples selection. BMC Bioinform. 19(1): 530:1 (2018) - Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi, Licia Rivoltini, Biagio Eugenio Leone, Antonello Villa, Barbara Vergani:
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections. BMC Bioinform. 19-S(10): 281-297 (2018) - Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Giorgio Valentini:
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. BMC Bioinform. 19-S(10): 269-280 (2018)
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