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Luca Cappelletti
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2020 – today
- 2023
- [j5]Luca Cappelletti
, Tommaso Fontana
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3(6): 552-568 (2023) - [c8]Luca Cappelletti
Parallel Triangles and Squares Count for Multigraphs Using Vertex Covers. ICCS (4) 2023: 635-646 - [c7]Luca Cappelletti
Billion-scale Detection of Isomorphic Nodes. IPDPS Workshops 2023: 230-233 - [c6]Luca Cappelletti
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) 2023: 372-383 - [i4]J. Harry Caufield, Tim E. Putman, Kevin Schaper, Deepak R. Unni, Harshad Hegde, Tiffany J. Callahan, Luca Cappelletti
KG-Hub - Building and Exchanging Biological Knowledge Graphs. CoRR abs/2302.10800 (2023) - [i3]Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR abs/2307.05727 (2023) - 2022
- [j4]Luca Cappelletti
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. 23-S(2): 154 (2022) - 2021
- [j3]Justin T. Reese
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns 2(1): 100155 (2021) - [c5]Marcin P. Joachimiak, Harshad Hegde, William D. Duncan, Justin T. Reese, Luca Cappelletti, Anne E. Thessen, Christopher J. Mungall:
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. ICBO 2021: 131-133 - [c4]Sara Bonfitto, Luca Cappelletti, Elena Casiraghi, Paolo Perlasca, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti:
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. SEBD 2021: 116-127 - [c3]Sara Bonfitto
Semi-automatic Column Type Inference for CSV Table Understanding. SOFSEM 2021: 535-549 - [i2]Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson:
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR abs/2101.01425 (2021) - [i1]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:
GraPE: fast and scalable Graph Processing and Embedding. CoRR abs/2110.06196 (2021) - 2020
- [j2]Elena Casiraghi
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8: 196299-196325 (2020) - [j1]Luca Cappelletti
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. Comput. 9(2): 37 (2020) - [c2]Luca Cappelletti
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO 2020: 600-612
2010 – 2019
- 2019
- [c1]Luca Cappelletti
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. IEEE BigData 2019: 4000-4007
Coauthor Index
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