引用次数
引用: 12,707
H-指数: 26
I10-指数 : 45
出版物: 81
An intraday trading model based on Artificial Immune Systems
Davide Chicco , Marina Resta ,
italian workshop on neural nets 62 -68
1
2011
Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma.
Luca Oneto , Davide Chicco
Health Informatics Journal 27 ( 1) 1460458220984205 -1460458220984205
2021
An Ensemble Learning Approach for Enhanced Classification of Patients With Hepatitis and Cirrhosis
Giuseppe Jurman , Davide Chicco
IEEE Access 9 24485 -24498
2021
The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation.
Giuseppe Jurman , Davide Chicco , Niklas Tötsch
Biodata Mining 14 ( 1) 13 -13
294
2021
Data analytics and clinical feature ranking of medical records of patients with sepsis
Luca Oneto , Davide Chicco
Biodata Mining 14 ( 1) 12 -12
9
2021
MACHINE LEARNING COMPARED TO CONVENTIONAL STATISTICAL MODELS FOR PREDICTING MYOCARDIAL INFARCTION READMISSION AND MORTALITY: A SYSTEMATIC REVIEW.
Anthony Gramolini , Slava Epelman , Peter C. Austin , Peter C. Austin
Canadian Journal of Cardiology
2021
Brief Survey on Machine Learning in Epistasis.
Davide Chicco , Trent Faultless
Methods of Molecular Biology 2212 169 -179
3
2021
The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment
Giuseppe Jurman , Davide Chicco , Valery Starovoitov
IEEE Access 9 47112 -47124
2021
Siamese Neural Networks: An Overview.
Davide Chicco
Methods of Molecular Biology 2190 73 -94
285
2021
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies.
Davide Chicco , Dominik Heider , Angelo Facchiano
Frontiers in Genetics 11 309
1
2020
Semantically improved genome-wide prediction of Gene Ontology annotations
Marco Masseroli , Marco Tagliasacchi , Davide Chicco
intelligent systems design and applications 1080 -1085
8
2011
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis
Kelwin Fernandes , Davide Chicco , Jaime S. Cardoso , Jessica Fernandes
PeerJ 4
21
2018
Ten quick tips for machine learning in computational biology
Davide Chicco
Biodata Mining 10 ( 1) 1 -17
748
2017
Survival prediction of patients with sepsis from age, sex, and septic episode number alone.
Davide Chicco , Giuseppe Jurman
Scientific Reports 10 ( 1) 17156 -17156
2
2020
Genome Informatics 2016.
Davide Chicco , Michael M. Hoffman
Genome Biology 18 ( 1) 5 -5
2
2017
BEHST: genomic set enrichment analysis enhanced through integration of chromatin long-range interactions
Davide Chicco , Haixin Sarah Bi , Jüri Reimand , Michael M. Hoffman
bioRxiv 168427
4
2019
An enhanced Random Forests approach to predict heart failure from small imbalanced gene expression data.
Davide Chicco , Luca Oneto
IEEE/ACM Transactions on Computational Biology and Bioinformatics 1 -1
2020
A discrete optimization approach for SVD best truncation choice based on ROC curves
Davide Chicco , Marco Masseroli
bioinformatics and bioengineering 1 -4
16
2013
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations
Pietro Pinoli , Davide Chicco , Marco Masseroli
bioinformatics and bioengineering 1 -4
21
2013
Computational algorithms to predict Gene Ontology annotations
Pietro Pinoli , Davide Chicco , Marco Masseroli
BMC Bioinformatics 16 ( 6) 1 -15
22
2015
Giuseppe Jurman Marco Masseroli Matthijs J. Warrens Luca Oneto Peter C Austin Douglas Lee Michael M. Hoffman Pierre Baldi Peter Sadowski Erica Tavazzi Jaime Cardoso Kelwin Fernandes V. Starovoitov (ВВ Старовойтов, V. Starovoytov) Abbas Alameer Giuseppe Agapito Eleonora Ciceri Angelo Facchiano Davide Cangelosi Christopher A. Lovejoy Jüri Reimand