Davide Chicco

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Giuseppe JurmanHumanitas University, Milan & Fondazione Bruno Kessler, Trento, ItalyEmail yang diverifikasi di fbk.eu
Marco MasseroliPolitecnico di MilanoEmail yang diverifikasi di polimi.it
Matthijs J. WarrensGION, University of GroningenEmail yang diverifikasi di rug.nl
Luca OnetoDIBRIS - University of GenoaEmail yang diverifikasi di unige.it
Michael M. HoffmanChair and Senior Scientist, University Health Network/Associate Professor, University of TorontoEmail yang diverifikasi di utoronto.ca
Peter C AustinICES (Institute for Clinical Evaluative Sciences)Email yang diverifikasi di ices.on.ca
Douglas LeeUniversity of TorontoEmail yang diverifikasi di ices.on.ca
Pierre BaldiProfessor, University of California, IrvineEmail yang diverifikasi di ics.uci.edu
Peter SadowskiAssociate Professor, University of Hawai’i at MānoaEmail yang diverifikasi di hawaii.edu
Erica TavazziUniversità degli Studi di PadovaEmail yang diverifikasi di dei.unipd.it
Jaime CardosoFull Professor at Faculty of Engineering, University of Porto; Researcher, INESC TECEmail yang diverifikasi di fe.up.pt
Kelwin FernandesNILG.AIEmail yang diverifikasi di nilg.ai
V. Starovoitov (ВВ Старовойтов, V. St...ОИПИ НАН Беларуси, National Academy of Sciences of Belarus United Institute of Informatics ProblemsEmail yang diverifikasi di newman.bas-net.by
Angelo FacchianoIstituto di Scienze dell'Alimentazione, CNR - Institute of Food Sciences, National Research CouncilEmail yang diverifikasi di isa.cnr.it
Giuseppe AgapitoUniversity of CatanzaroEmail yang diverifikasi di unicz.it
Abbas AlameerKuwait UniversityEmail yang diverifikasi di ku.edu.kw
Davide CangelosiSenior Investigator, IRCCS Giannina Gaslini InstituteEmail yang diverifikasi di gaslini.org
Christopher A. LovejoyUniversity of Cambridge, University College London, NHSEmail yang diverifikasi di ucl.ac.uk
Eleonora CiceriGucciEmail yang diverifikasi di eleonoraciceri.it
Claudio AngioneProfessor of Artificial Intelligence, Teesside UniversityEmail yang diverifikasi di tees.ac.uk

Ikuti

Davide Chicco

Università di Milano-Bicocca & University of Toronto

Email yang diverifikasi di utoronto.ca - Beranda

applied machine learning bioinformatics biomedical informatics Matthews correlation coefficient


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation D Chicco, G Jurman BMC Genomics 21 (6), 1-13, 2020	5308	2020
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation D Chicco, MJ Warrens, G Jurman PeerJ Computer Science 7, e623, 2021	3397	2021
Bioconda: sustainable and comprehensive software distribution for the life sciences B Grüning, R Dale, A Sjödin, BA Chapman, J Rowe, CH Tomkins-Tinch, ... Nature Methods 15 (7), 475, 2018	1234	2018
Ten quick tips for machine learning in computational biology D Chicco BioData Mining 10 (35), 1-17, 2017	1078	2017
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation D Chicco, N Tötsch, G Jurman BioData Mining 14 (13), 1-22, 2021	812	2021
Siamese neural networks: an overview D Chicco Artificial Neural Networks (3rd edition), Methods in Molecular Biology 2190 …, 2020	781	2020
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone D Chicco, G Jurman BMC Medical Informatics and Decision Making 20 (16), 1-16, 2020	633	2020
The Matthews correlation coefficient (MCC) is more informative than Cohen’s Kappa and Brier score in binary classification assessment D Chicco, MJ Warrens, G Jurman IEEE Access 9, 78368-78381, 2021	330	2021
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature Communications 10 (1), 2674, 2019	325	2019
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification D Chicco, G Jurman BioData Mining 16 (4), 1-23, 2023	277	2023
Deep autoencoder neural networks for Gene Ontology annotation predictions D Chicco, P Sadowski, P Baldi Proceedings of ACM BCB 2014 – the 5th ACM Conference on Bioinformatics …, 2014	261	2014
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality S Shin, PC Austin, HJ Ross, H Abdel‐Qadir, C Freitas, G Tomlinson, ... ESC Heart Failure 8 (1), 106-115, 2020	145	2020
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis K Fernandes, D Chicco, JS Cardoso, J Fernandes PeerJ Computer Science 4 (e154), 2018	109	2018
The benefits of the Matthews correlation coefficient (MCC) over the diagnostic odds ratio (DOR) in binary classification assessment D Chicco, V Starovoitov, G Jurman IEEE Access 9, 47112-47124, 2021	96	2021
Warrens, and Giuseppe Jurman.“The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation” D Chicco, J Matthijs PeerJ Computer Science 7, e623, 2021	85	2021
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach R Kueffner, N Zach, M Bronfeld, R Norel, N Atassi, V Balagurusamy, ... Scientific Reports 9 (1), 690, 2019	76	2019
Computational prediction of diagnosis and feature selection on mesothelioma patient health records D Chicco, C Rovelli PLOS One 14 (1), e0208737, 2019	73	2019
Survival prediction of patients with sepsis from age, sex, and septic episode number alone D Chicco, G Jurman Scientific Reports 10 (17156), 1-12, 2020	57	2020
Nine quick tips for pathway enrichment analysis D Chicco, G Agapito PLOS Computational Biology 18 (8), e1010348, 2022	56	2022
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis D Chicco, G Jurman IEEE Access 9, 24485-24498, 2021	55	2021

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