CAPPELLETTI, LUCA

CAPPELLETTI, LUCA  

Dipartimento di Informatica Giovanni Degli Antoni  

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Titolo Data di pubblicazione Autori Tipo File Abstract
An open source knowledge graph ecosystem for the life sciences 2024 Cappelletti, LucaCasiraghi, ElenaCavalleri, EmanueleValentini, GiorgioMesiti, Marco + Article (author) -
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning 2024 Cappelletti, LucaCasiraghi, ElenaValentini, Giorgio + Article (author) -
SCALABLE GRAPH REPRESENTATIONAL LEARNING ALGORITHMS FOR NETWORK MEDICINE 2023 CAPPELLETTI, LUCA Doctoral Thesis -
GRAPE for fast and scalable graph processing and random-walk-based embedding 2023 Cappelletti, LucaCasiraghi, ElenaValentini, Giorgio + Article (author) -
Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes 2023 Casiraghi E.Cappelletti L.Valentini G. + Article (author) -
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques 2022 Cappelletti, LucaPetrini, AlessandroGliozzo, JessicaCasiraghi, ElenaValentini, Giorgio + Article (author) -
NSAID use and clinical outcomes in COVID-19 patients: a 38-center retrospective cohort study 2022 Cappelletti, LucaCasiraghi, ElenaValentini, Giorgio + Article (author) -
Cyclooxygenase inhibitor use is associated with increased COVID-19 severity 2021 Luca CappellettiElena CasiraghiGiorgio Valentini + Article (author) -
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables 2021 Sara BonfittoLuca CappellettiElena CasiraghiPaolo PerlascaGiorgio ValentiniMarco Mesiti + Book Part (author) -
Semi-automatic Column Type Inference for CSV Table Understanding 2021 Bonfitto, SaraCappelletti, LucaValentini, GiorgioMesiti, Marco + Book Part (author) -
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer 2021 Cappelletti, LucaCasiraghi, ElenaValentini, Giorgio + Article (author) -
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants 2020 Petrini A.Mesiti M.Frasca M.Re M.Grossi G.Cappelletti L.Valentini G. + Article (author) -
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks 2020 Cappelletti L.Petrini A.Gliozzo J.Casiraghi E.Valentini G. + Book Part (author) -
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks—A Case Study on Genome Gap-Filling 2020 Cappelletti, LucaCasiraghi, ElenaValentini, Giorgio + Article (author) -
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments 2020 ELENA CASIRAGHIDARIO MALCHIODIGABRIELLA TRUCCOMARCO FRASCALUCA CAPPELLETTITOMMASO FONTANAANDREA A. ESPOSITOEMANUELE AVOLAALESSANDRO RIZZIGIORGIO VALENTINI + Article (author) -
A neural model for the prediction of pathogenic genomic variants in Mendelian diseases 2019 L. CappellettiG. Valentini + Book Part (author) -
Training Neural Networks with Balanced Mini-batch to Improve the Prediction of Pathogenic Genomic Variants in Mendelian Diseases 2019 Luca CappellettiJessica GliozzoAlessandro PetriniGiorgio Valentini Article (author) -