On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. - Luca Cappelletti; Stefano Valtolina; Giorgio Valentini; Marco Mesiti; Elisa Bertino (IEEE BigData, 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)

Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. - Elena Casiraghi; Dario Malchiodi; Gabriella Trucco; Marco Frasca 001; Luca Cappelletti; Tommaso Fontana; Alessandro Andrea Esposito; Emanuele Avola; Alessandro Jachetti; Justin T. Reese; Alessandro Rizzi; Peter N. Robinson; et al. (IEEE Access, 2020)

Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. - Luca Cappelletti; Tommaso Fontana; Guido Walter Di Donato; Lorenzo Di Tucci; Elena Casiraghi; Giorgio Valentini (Comput., 2020)

KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. - Marcin P. Joachimiak; Harshad Hegde; William D. Duncan; Justin T. Reese; Luca Cappelletti; Anne E. Thessen; Christopher J. Mungall (ICBO, 2021)

A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. - Sara Bonfitto; Luca Cappelletti; Elena Casiraghi; Paolo Perlasca; Fabrizio Trovato; Giorgio Valentini; Marco Mesiti (SEBD, 2021)

Semi-automatic Column Type Inference for CSV Table Understanding. - Sara Bonfitto; Luca Cappelletti; Fabrizio Trovato; Giorgio Valentini; Marco Mesiti (SOFSEM, 2021)

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Giorgio Valentini; Elena Casiraghi; Luca Cappelletti; Vida Ravanmehr; Tommaso Fontana; Justin T. Reese; Peter N. Robinson (CoRR, 2021)

GraPE: fast and scalable Graph Processing and Embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (CoRR, 2021)

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. - Justin T. Reese; Deepak R. Unni; Tiffany J. Callahan; Luca Cappelletti; Vida Ravanmehr; Seth Carbon; Kent A. Shefchek; Benjamin M. Good; James P. Balhoff; Tommaso Fontana; Hannah Blau; Nicolas Matentzoglu; et al. (Patterns, 2021)

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)

Parallel Triangles and Squares Count for Multigraphs Using Vertex Covers. - Luca Cappelletti; Tommaso Fontana; Oded Green; David A. Bader (ICCS (4), 2023)

Billion-scale Detection of Isomorphic Nodes. - Luca Cappelletti; Tommaso Fontana; Justin T. Reese; David A. Bader (IPDPS Workshops, 2023)

Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. - Luca Cappelletti; Stefano Taverni; Tommaso Fontana; Marcin P. Joachimiak; Justin T. Reese; Peter N. Robinson; Elena Casiraghi; Giorgio Valentini (IWBBIO (2), 2023)

KG-Hub - Building and Exchanging Biological Knowledge Graphs. - J. Harry Caufield; Tim E. Putman; Kevin Schaper; Deepak R. Unni; Harshad Hegde; Tiffany J. Callahan; Luca Cappelletti; Sierra A. T. Moxon; Vida Ravanmehr; Seth Carbon; Lauren E. Chan; Katherina Cortes; et al. (CoRR, 2023)

An Open-Source Knowledge Graph Ecosystem for the Life Sciences. - Tiffany J. Callahan; Ignacio J. Tripodi; Adrianne L. Stefanski; Luca Cappelletti; Sanya Bathla Taneja; Jordan M. Wyrwa; Elena Casiraghi; Nicolas A. Matentzoglu; Justin T. Reese; Jonathan C. Silverstein; Charles Tapley Hoyt; Richard D. Boyce; et al. (CoRR, 2023)

GRAPE for fast and scalable graph processing and random-walk-based embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Carlos Cano; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (Nat. Comput. Sci., 2023)