Davide Chicco

79 papers B 1C 4Journal 60Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls.
PeerJ Comput. Sci.
Fabio Cumbo, Davide Chicco, Sercan Aygun, Daniel J. Blankenberg
2026 J jnl
The Gap Statistic can be misleading when used to evaluate near box shaped clusters in the Euclidean space.
Discov. Artif. Intell.
Elisa Maria Merigo, Alessandro Anfossi, Davide Chicco
2026 J jnl
The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation.
PeerJ Comput. Sci.
Davide Chicco, Simone Melzi, Francesca Gasparini, Giuseppe Jurman
2025 J jnl
A simple guide to the use of Student's t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics.
BioData Min.
Davide Chicco, Andrea Sichenze, Giuseppe Jurman
2025 J jnl
A teaching proposal for a short course on biomedical data science.
PLoS Comput. Biol.
Davide Chicco, Vasco Coelho
2025 J jnl
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper".
PLoS Comput. Biol.
Davide Chicco, Giuseppe Jurman
2025 J jnl
Comparative analysis of unsupervised clustering techniques using validation metrics: Study on cognitive features from the Canadian Longitudinal Study on Aging (CLSA).
CoRR
ChenNingZhi Sheng, Rafal Kustra, Davide Chicco
2025 J jnl
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma.
BioData Min.
Davide Chicco, Luca Oneto, Davide Cangelosi
2025 J jnl
Eight quick tips for biologically and medically informed machine learning.
PLoS Comput. Biol.
Luca Oneto, Davide Chicco
2025 J jnl
Hyperdimensional computing in biomedical sciences: a brief review.
PeerJ Comput. Sci.
Fabio Cumbo, Davide Chicco
2025 — conf
Longitudinal Analysis of Disease Progression in the Elderly: An Approach to Mitigate the Burden of Frailty, Functional and Cognitive Decline.
BIOSTEC (2): HEALTHINF
Patrizia Ribino, Giovanni Paragliola, Claudia Di Napoli, Luca Serino, Davide Chicco, Francesca Gasparini
2025 J jnl
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer's disease progression study.
BioData Min.
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2025 J jnl
Nine quick tips for trustworthy machine learning in the biomedical sciences.
PLoS Comput. Biol.
Luca Oneto, Davide Chicco
2025 J jnl
TaGra: an open Python package for easily generating graphs from data tables through manifold learning.
PeerJ Comput. Sci.
Davide Torre, Davide Chicco
2025 J jnl
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering.
BioData Min.
Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2025 J jnl
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters.
PeerJ Comput. Sci.
Davide Chicco, Giuseppe Sabino, Luca Oneto, Giuseppe Jurman
2025 J jnl
The Silhouette coefficient and the Davies-Bouldin index are more informative than Dunn index, Calinski-Harabasz index, Shannon entropy, and Gap statistic for unsupervised clustering internal evaluation of two convex clusters.
PeerJ Comput. Sci.
Davide Chicco, Andrea Campagner, Andrea Spagnolo, Davide Ciucci, Giuseppe Jurman
2025 J jnl
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets.
BioData Min.
Davide Chicco, Alessandro Fabris, Giuseppe Jurman
2024 — conf
Analyzing Trajectories of Clinical Markers in Patients with Sepsis Through Multivariate Longitudinal Clustering (Short Paper).
HC@AIxIA
Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco, Francesca Gasparini
2024 J jnl
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme.
J. Heal. Informatics Res.
Gabriel Cerono, Ombretta Melaiu, Davide Chicco
2024 — conf
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression.
EUSPN/ICTH
Patrizia Ribino, Giovanni Paragliola, Claudia Di Napoli, Maria Mannone, Davide Chicco, Francesca Gasparini
2024 J jnl
EHRs Data Harmonization Platform, an easy-to-use shiny app based on recodeflow for harmonizing and deriving clinical features.
CoRR
Arian Aminoleslami, Geoffrey M. Anderson, Davide Chicco
2024 J jnl
Ensemble machine learning reveals key features for diabetes duration from electronic health records.
PeerJ Comput. Sci.
Gabriel Cerono, Davide Chicco
2024 J jnl
Gene signatures for cancer research: A 25-year retrospective and future avenues.
PLoS Comput. Biol.
Wei Liu, Huaqin He, Davide Chicco
2024 J jnl
Interactive Classification Metrics: A graphical application to build robust intuition for classification model evaluation.
CoRR
David H. Brown, Davide Chicco
2024 J jnl
Seven quick tips for gene-focused computational pangenomic analysis.
BioData Min.
Vincenzo Bonnici, Davide Chicco
2024 J jnl
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing.
PeerJ Comput. Sci.
Giulia Cisotto, Davide Chicco
2024 J jnl
Ten quick tips for electrocardiogram (ECG) signal processing.
PeerJ Comput. Sci.
Davide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos
2023 J jnl
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index.
J. Biomed. Informatics
Davide Chicco, Giuseppe Jurman
2023 — conf
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques.
AIxAS@AI*IA
Patrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, Luca Serino, Francesca Gasparini, Davide Chicco
2023 J jnl
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma.
BioData Min.
Davide Chicco, Tiziana Sanavia, Giuseppe Jurman
2023 J jnl
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses.
PLoS Comput. Biol.
Davide Chicco, Fabio Cumbo, Claudio Angione
2023 J jnl
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment.
PLoS Comput. Biol.
Davide Chicco, Umberto Ferraro Petrillo, Giuseppe Cattaneo
2023 J jnl
Ten quick tips for computational analysis of medical images.
PLoS Comput. Biol.
Davide Chicco, Rakesh Shiradkar
2023 J jnl
Ten quick tips for fuzzy logic modeling of biomedical systems.
PLoS Comput. Biol.
Davide Chicco, Simone Spolaor, Marco S. Nobile
2023 J jnl
Ten simple rules for providing bioinformatics support within a hospital.
BioData Min.
Davide Chicco, Giuseppe Jurman
2023 J jnl
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification.
BioData Min.
Davide Chicco, Giuseppe Jurman
2022 J jnl
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma.
Data Sci. J.
Davide Chicco, Gabriel Cerono, Davide Cangelosi
2022 J jnl
A brief survey of tools for genomic regions enrichment analysis.
Frontiers Bioinform.
Davide Chicco, Giuseppe Jurman
2022 J jnl
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence.
Frontiers Robotics AI
Davide Chicco, Giuseppe Jurman
2022 — ed.
Computational Intelligence Methods for Bioinformatics and Biostatistics - 17th International Meeting, CIBB 2021, Virtual Event, November 15-17, 2021, Revised Selected Papers
CIBB
Davide Chicco, Angelo M. Facchiano, Erica Tavazzi, Enrico Longato, Martina Vettoretti, Anna Bernasconi, Simone Avesani, Paolo Cazzaniga
2022 J jnl
Eleven quick tips for data cleaning and feature engineering.
PLoS Comput. Biol.
Davide Chicco, Luca Oneto, Erica Tavazzi
2022 J jnl
Nine quick tips for pathway enrichment analysis.
PLoS Comput. Biol.
Davide Chicco, Giuseppe Agapito
2022 J jnl
Ten simple rules for organizing a special session at a scientific conference.
PLoS Comput. Biol.
Davide Chicco, Philip E. Bourne
2022 J jnl
The ABC recommendations for validation of supervised machine learning results in biomedical sciences.
Frontiers Big Data
Davide Chicco, Giuseppe Jurman
2022 J jnl
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning.
BioData Min.
Davide Chicco, Abbas Alameer, Sara Rahmati, Giuseppe Jurman
2022 J jnl
geoCancerPrognosticDatasetsRetriever: a bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO).
Bioinform.
Abbas Alameer, Davide Chicco
2021 J jnl
A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease.
IEEE Access
Davide Chicco, Christopher A. Lovejoy, Luca Oneto
2021 J jnl
An Enhanced Random Forests Approach to Predict Heart Failure From Small Imbalanced Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Davide Chicco, Luca Oneto
2021 J jnl
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis.
IEEE Access
Davide Chicco, Giuseppe Jurman
2021 J jnl
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease.
IEEE Access
Davide Chicco, Giuseppe Jurman
2021 J jnl
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma.
Health Informatics J.
Davide Chicco, Luca Oneto
2021 J jnl
Data analytics and clinical feature ranking of medical records of patients with sepsis.
BioData Min.
Davide Chicco, Luca Oneto
2021 — ch.
Siamese Neural Networks: An Overview.
Artificial Neural Networks, 3rd Edition
Davide Chicco
2021 J jnl
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment.
IEEE Access
Davide Chicco, Valery Starovoitov, Giuseppe Jurman
2021 J jnl
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment.
IEEE Access
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
2021 J jnl
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation.
BioData Min.
Davide Chicco, Niklas Tötsch, Giuseppe Jurman
2021 J jnl
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation.
PeerJ Comput. Sci.
Davide Chicco, Matthijs J. Warrens, Giuseppe Jurman
2020 J jnl
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.
BMC Medical Informatics Decis. Mak.
Davide Chicco, Giuseppe Jurman
2020 J jnl
The MCC-F1 curve: a performance evaluation technique for binary classification.
CoRR
Chang Cao, Davide Chicco, Michael M. Hoffman
2019 — ch.
Biological and Medical Ontologies: Protein Ontology (PRO).
Encyclopedia of Bioinformatics and Computational Biology (1)
Davide Chicco, Marco Masseroli
2018 J jnl
Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Davide Chicco, Fernando Palluzzi, Marco Masseroli
2018 J jnl
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis.
PeerJ Comput. Sci.
Kelwin Fernandes, Davide Chicco, Jaime S. Cardoso, Jessica Fernandes
2017 J jnl
Ten quick tips for machine learning in computational biology.
BioData Min.
Davide Chicco
2016 J jnl
Ontology-Based Prediction and Prioritization of Gene Functional Annotations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Davide Chicco, Marco Masseroli
2015 J jnl
Computational algorithms to predict Gene Ontology annotations.
BMC Bioinform.
Pietro Pinoli, Davide Chicco, Marco Masseroli
2015 J jnl
Software Suite for Gene and Protein Annotation Prediction and Similarity Search.
IEEE ACM Trans. Comput. Biol. Bioinform.
Davide Chicco, Marco Masseroli
2015 — conf
Validation Pipeline for Computational Prediction of Genomics Annotations.
CIBB
Davide Chicco, Marco Masseroli
2014 — —
Computational Prediction of Gene Functions through Machine Learning methods and Multiple Validation Procedures
Davide Chicco
2014 — conf
Deep autoencoder neural networks for gene ontology annotation predictions.
BCB
Davide Chicco, Peter J. Sadowski, Pierre Baldi
2014 — conf
Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation.
CIBB
Davide Chicco, Eleonora Ciceri, Marco Masseroli
2014 C conf
Latent Dirichlet Allocation based on Gibbs Sampling for gene function prediction.
CIBCB
Pietro Pinoli, Davide Chicco, Marco Masseroli
2013 C conf
A discrete optimization approach for SVD best truncation choice based on ROC curves.
BIBE
Davide Chicco, Marco Masseroli
2013 C conf
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations.
BIBE
Pietro Pinoli, Davide Chicco, Marco Masseroli
2013 — conf
Weighting Scheme Methods for Enhanced Genomic Annotation Prediction.
CIBB
Pietro Pinoli, Davide Chicco, Marco Masseroli
2012 B conf
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations.
IJCNN
Marco Masseroli, Davide Chicco, Pietro Pinoli
2011 — conf
Genomic Annotation Prediction Based on Integrated Information.
CIBB
Davide Chicco, Marco Tagliasacchi, Marco Masseroli
2011 C conf
Semantically improved genome-wide prediction of Gene Ontology annotations.
ISDA
Marco Masseroli, Marco Tagliasacchi, Davide Chicco
2010 — conf
An intraday trading model based on Artificial Immune Systems.
WIRN
Davide Chicco, Marina Resta