Alessandro Petrini

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Protein Function

Machine Learning

Negative Examples

Top Venues

Publications

Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Deep neural networks compression: A comparative survey and choice recommendations. Neurocomputing 520 (2023)
Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi
Heterogeneous data integration methods for patient similarity networks. Briefings Bioinform. 23 (4) (2022)
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. (2) (2022)
Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data. AIAI Workshops (2022)
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
Compact representations of convolutional neural networks via weight pruning and quantization. CoRR (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) (2021)
Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin Reese, Peter N. Robinson, Giorgio Valentini, Gianpaolo Carrafiello
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence. J. Imaging 7 (12) (2021)
Donatello Conte, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, Alessandro Petrini
Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing. Pattern Recognit. Lett. 149 (2021)
Giuliano Grossi, Pietro Paglierani, Federico Pedersini, Alessandro Petrini
Enhanced multicore-manycore interaction in high-performance video encoding. J. Real Time Image Process. 17 (4) (2020)
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO (2020)
Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Alessandro Petrini, Stefano Valtolina
Human Digital Twin for Fitness Management. IEEE Access 8 (2020)
Donatello Conte, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, Alessandro Petrini
A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem. GbRPR (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) (2019)
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. (10) (2018)
Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. CIBB (2018)
Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. CIBB (2018)
Michail-Alexandros Kourtis, Michael J. McGrath, Georgios Gardikis, Georgios Xilouris, Vincenzo Riccobene, Panagiotis Papadimitriou, Eleni Trouva, Francesco Liberati, Marco Trubian, Josep Batalle, Harilaos Koumaras, David Dietrich, Aurora Ramos, Jordi Ferrer Riera, José Bonnet, Antonio Pietrabissa, Alberto Ceselli, Alessandro Petrini
T-NOVA: An Open-Source MANO Stack for NFV Infrastructures. IEEE Trans. Netw. Serv. Manag. 14 (3) (2017)
Pietro Paglierani, Giuliano Grossi, Federico Pedersini, Alessandro Petrini
GPU-based VP8 encoding: Performance in native and virtualized environments. TEMU (2016)
Jordi Ferrer Riera, Josep Batalle, José Bonnet, Miguel Dias, Michael J. McGrath, Giuseppe Petralia, Francesco Liberati, Alessandro Giuseppi, Antonio Pietrabissa, Alberto Ceselli, Alessandro Petrini, Marco Trubian, Panagiotis Papadimitriou, David Dietrich, Aurora Ramos, Javier Melian, George Xilouris, Akis Kourtis, Tassos Kourtis, Evangelos K. Markakis
TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment. NetSoft (2016)
P. Comi, Paolo Secondo Crosta, M. Beccari, Pietro Paglierani, Giuliano Grossi, Federico Pedersini, Alessandro Petrini
Hardware-accelerated high-resolution video coding in Virtual Network Functions. EuCNC (2016)