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IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 1, 2020
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression DataDavide Chicco, Luca OnetoHealth Informatics Journal|January 28, 2021
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinomaDavide Chicco, Luca OnetoPlos Computational Biology|January 9, 2025
Eight quick tips for biologically and medically informed machine learningLuca Oneto, Davide ChiccoBiodata Mining|February 4, 2021
Data analytics and clinical feature ranking of medical records of patients with sepsisDavide Chicco, Luca OnetoStudies in Health Technology and Informatics|May 23, 2026
DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular ZoneDavide Chicco, Luca OnetoPlos Computational Biology|October 30, 2025
Nine quick tips for trustworthy machine learning in the biomedical sciencesLuca Oneto, Davide ChiccoPlos Computational Biology|December 15, 2022
Eleven quick tips for data cleaning and feature engineeringDavide Chicco, Luca Oneto, Erica TavazziBiodata Mining|June 12, 2025
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastomaDavide Chicco, Luca Oneto, Davide CangelosiPeerj. Computer Science|September 24, 2025
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clustersDavide Chicco, Giuseppe Sabino, Luca Oneto, et al.Methods in Molecular Biology (Clifton, N.J.)|August 18, 2020
Siamese Neural Networks: An OverviewDavide ChiccoPageof 8