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 (EuCNC, 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; et al. (NetSoft, 2016)

GPU-based VP8 encoding: Performance in native and virtualized environments. - Pietro Paglierani; Giuliano Grossi; Federico Pedersini; Alessandro Petrini (TEMU, 2016)

T-NOVA: An Open-Source MANO Stack for NFV Infrastructures. - Michail-Alexandros Kourtis; Michael J. McGrath; Georgios Gardikis; Georgios Xilouris; Vincenzo Riccobene; Panagiotis Papadimitriou 001; Eleni Trouva; Francesco Liberati; Marco Trubian; Josep Batalle; Harilaos Koumaras; David Dietrich; et al. (IEEE Trans. Netw. Serv. Manag., 2017)

Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions. - Marco Frasca 001; Maryam Sepehri; Alessandro Petrini; Giuliano Grossi; Giorgio Valentini (CIBB, 2018)

A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks. - Cheick Tidiane Ba; Elena Casiraghi; Marco Frasca 001; Jessica Gliozzo; Giuliano Grossi; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Matteo Re; Giorgio Valentini (CIBB, 2018)

A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks. - Marco Frasca 001; Giuliano Grossi; Jessica Gliozzo; Marco Mesiti; Marco Notaro; Paolo Perlasca; Alessandro Petrini; Giorgio Valentini (BMC Bioinform., 2018)

A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem. - Donatello Conte; Giuliano Grossi; Raffaella Lanzarotti; Jianyi Lin; Alessandro Petrini (GbRPR, 2019)

UNIPred-Web: a web tool for the integration and visualization of biomolecular networks for protein function prediction. - Paolo Perlasca; Marco Frasca 001; Cheick Tidiane Ba; Marco Notaro; Alessandro Petrini; Elena Casiraghi; Giuliano Grossi; Jessica Gliozzo; Giorgio Valentini; Marco Mesiti (BMC Bioinform., 2019)

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 (IWBBIO, 2020)

Human Digital Twin for Fitness Management. - Barbara Rita Barricelli; Elena Casiraghi; Jessica Gliozzo; Alessandro Petrini; Stefano Valtolina (IEEE Access, 2020)

Enhanced multicore-manycore interaction in high-performance video encoding. - Giuliano Grossi; Pietro Paglierani; Federico Pedersini; Alessandro Petrini (J. Real Time Image Process., 2020)

HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction. - Marco Notaro; Marco Frasca 001; Alessandro Petrini; Jessica Gliozzo; Elena Casiraghi; Peter N. Robinson; Giorgio Valentini (Bioinform., 2021)

Compact representations of convolutional neural networks via weight pruning and quantization. - Giosuè Cataldo Marinò; Alessandro Petrini; Dario Malchiodi; Marco Frasca 001 (CoRR, 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)

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)

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 (AIAI (Workshops), 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)

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)

Deep neural networks compression: A comparative survey and choice recommendations. - Giosuè Cataldo Marinò; Alessandro Petrini; Dario Malchiodi; Marco Frasca 001 (Neurocomputing, 2023)