Alessandro Petrini

According to our database, Alessandro Petrini authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep neural networks compression: A comparative survey and choice recommendations.

Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca

Neurocomputing, 2023

2022

Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.

Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini

BMC Bioinform., 2022

Heterogeneous data integration methods for patient similarity networks.

Jessica Gliozzo, Marco Mesiti, Marco Notaro, Alessandro Petrini, Alex Patak, Antonio Puertas Gallardo, Alberto Paccanaro, Giorgio Valentini, Elena Casiraghi

Briefings Bioinform., 2022

ParSMURF-NG: A Machine Learning High Performance Computing System for the Analysis of Imbalanced Big Omics Data.

Alessandro Petrini, Marco Notaro, Jessica Gliozzo, Tiziana Castrignanò, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini

Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022

2021

Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing.

Donatello Conte, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, Alessandro Petrini

Pattern Recognit. Lett., 2021

Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence.

Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Alessandro Andrea Esposito, Elvira Stellato, Alessandro Petrini, Justin T. Reese, Peter N. Robinson, Giorgio Valentini, Gianpaolo Carrafiello

J. Imaging, 2021

Compact representations of convolutional neural networks via weight pruning and quantization.

Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca

CoRR, 2021

HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction.

Marco Notaro, Marco Frasca, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Peter N. Robinson, Giorgio Valentini

Bioinform., 2021

2020

Enhanced multicore-manycore interaction in high-performance video encoding.

Giuliano Grossi, Pietro Paglierani, Federico Pedersini, Alessandro Petrini

J. Real Time Image Process., 2020

Human Digital Twin for Fitness Management.

Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Alessandro Petrini, Stefano Valtolina

IEEE Access, 2020

Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks.

Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction.

Paolo Perlasca, Marco Frasca, Cheick Tidiane Ba, Marco Notaro, Alessandro Petrini, Elena Casiraghi, Giuliano Grossi, Jessica Gliozzo, Giorgio Valentini, Marco Mesiti

BMC Bioinform., 2019

A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem.

Donatello Conte, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, Alessandro Petrini

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks.

Marco Frasca, Giuliano Grossi, Jessica Gliozzo, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Giorgio Valentini

BMC Bioinform., 2018

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks.

Cheick Tidiane Ba, Elena Casiraghi, Marco Frasca, Jessica Gliozzo, Giuliano Grossi, Marco Mesiti, Marco Notaro, Paolo Perlasca, Alessandro Petrini, Matteo Re, Giorgio Valentini

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions.

Marco Frasca, Maryam Sepehri, Alessandro Petrini, Giuliano Grossi, Giorgio Valentini

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017

T-NOVA: An Open-Source MANO Stack for NFV Infrastructures.

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

IEEE Trans. Netw. Serv. Manag., 2017

2016

GPU-based VP8 encoding: Performance in native and virtualized environments.

Pietro Paglierani, Giuliano Grossi, Federico Pedersini, Alessandro Petrini

Proceedings of the 2016 International Conference on Telecommunications and Multimedia, 2016

TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment.

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

Proceedings of the IEEE NetSoft Conference and Workshops, 2016

Hardware-accelerated high-resolution video coding in Virtual Network Functions.

P. Comi, Paolo Secondo Crosta, M. Beccari, Pietro Paglierani, Giuliano Grossi, Federico Pedersini, Alessandro Petrini

Proceedings of the European Conference on Networks and Communications, 2016