Luca Cappelletti
Orcid: 0000-0002-1269-2038
According to our database1,
Luca Cappelletti
authored at least 17 papers
between 2019 and 2023.
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Bibliography
2023
Nat. Comput. Sci., 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the Computational Science - ICCS 2023, 2023
2022
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques.
BMC Bioinform., 2022
2021
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response.
Patterns, 2021
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding.
CoRR, 2021
Proceedings of the SOFSEM 2021: Theory and Practice of Computer Science, 2021
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables.
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information.
Proceedings of the International Conference on Biomedical Ontologies 2021 co-located with the Workshop on Ontologies for the Behavioural and Social Sciences (OntoBess 2021) as part of the Bolzano Summer of Knowledge (BOSK 2021), 2021
2020
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling.
Comput., 2020
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments.
IEEE Access, 2020
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
2019
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019