CHICCO, DAVIDE
 Distribuzione geografica
Continente #
AS - Asia 4.275
NA - Nord America 2.246
EU - Europa 1.786
SA - Sud America 638
AF - Africa 59
OC - Oceania 9
Continente sconosciuto - Info sul continente non disponibili 1
Totale 9.014
Nazione #
US - Stati Uniti d'America 2.157
SG - Singapore 2.001
CN - Cina 858
HK - Hong Kong 619
BR - Brasile 523
IT - Italia 490
RU - Federazione Russa 474
VN - Vietnam 245
IE - Irlanda 180
DE - Germania 162
KR - Corea 162
ID - Indonesia 154
NL - Olanda 83
FR - Francia 71
IN - India 61
GB - Regno Unito 60
FI - Finlandia 56
AR - Argentina 51
CA - Canada 47
AT - Austria 41
SE - Svezia 35
MX - Messico 32
JP - Giappone 30
TR - Turchia 29
PL - Polonia 27
ZA - Sudafrica 25
ES - Italia 23
BD - Bangladesh 22
UA - Ucraina 17
EC - Ecuador 14
PE - Perù 12
IQ - Iraq 11
CO - Colombia 10
PH - Filippine 10
VE - Venezuela 10
AE - Emirati Arabi Uniti 9
AU - Australia 9
TW - Taiwan 9
UY - Uruguay 9
MY - Malesia 8
NO - Norvegia 8
CH - Svizzera 7
LT - Lituania 7
MA - Marocco 7
EG - Egitto 6
RS - Serbia 6
SA - Arabia Saudita 6
CL - Cile 5
CZ - Repubblica Ceca 5
IR - Iran 5
NP - Nepal 5
PK - Pakistan 5
AL - Albania 4
BE - Belgio 4
DK - Danimarca 4
KZ - Kazakistan 4
PY - Paraguay 4
AZ - Azerbaigian 3
ET - Etiopia 3
GR - Grecia 3
HN - Honduras 3
JO - Giordania 3
OM - Oman 3
RO - Romania 3
SK - Slovacchia (Repubblica Slovacca) 3
SN - Senegal 3
TN - Tunisia 3
UZ - Uzbekistan 3
AM - Armenia 2
BA - Bosnia-Erzegovina 2
CI - Costa d'Avorio 2
CR - Costa Rica 2
HU - Ungheria 2
IL - Israele 2
KE - Kenya 2
NG - Nigeria 2
PA - Panama 2
TH - Thailandia 2
BF - Burkina Faso 1
BG - Bulgaria 1
BH - Bahrain 1
BN - Brunei Darussalam 1
BY - Bielorussia 1
CG - Congo 1
DM - Dominica 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
EE - Estonia 1
HR - Croazia 1
KW - Kuwait 1
LU - Lussemburgo 1
LV - Lettonia 1
MD - Moldavia 1
MG - Madagascar 1
MT - Malta 1
PT - Portogallo 1
QA - Qatar 1
TT - Trinidad e Tobago 1
UG - Uganda 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 9.013
Città #
Singapore 851
Hong Kong 600
Hefei 368
Ashburn 315
Dublin 174
New York 172
Seoul 151
Jakarta 139
Santa Clara 118
Los Angeles 117
Milan 99
Beijing 96
Dallas 96
Boardman 79
Ho Chi Minh City 79
Hanoi 67
São Paulo 62
Buffalo 54
Moscow 53
Nuremberg 44
The Dalles 44
Chicago 38
Shanghai 38
Amsterdam 36
Council Bluffs 35
Frankfurt am Main 33
Helsinki 31
North Bergen 23
Tokyo 22
Munich 21
Naples 20
Montreal 19
Vienna 19
Warsaw 19
San Jose 18
Ann Arbor 17
Lappeenranta 17
Rome 16
Stockholm 16
Turin 16
Chennai 15
Orem 15
Palermo 15
Rio de Janeiro 15
Salt Lake City 15
Brasília 14
Guangzhou 13
Istanbul 13
Lizzanello 13
Mexico City 13
Fairfield 11
Poplar 11
Wilmington 11
Da Nang 10
Düsseldorf 10
Haiphong 10
Kent 10
Miami 10
Osasco 10
Atlanta 9
Denver 9
Florence 9
London 9
Porto Alegre 9
Seattle 9
Boydton 8
Brooklyn 8
Corsico 8
Houston 8
Johannesburg 8
Pittsburgh 8
Santa Croce sull'Arno 8
Tampa 8
Ankara 7
Belo Horizonte 7
Brescia 7
Charlotte 7
Lima 7
Phoenix 7
Seregno 7
Shenzhen 7
Toronto 7
Belgrade 6
Boston 6
Carate Brianza 6
Las Vegas 6
Madrid 6
Manila 6
Montevideo 6
Newark 6
Nova Iguaçu 6
Paris 6
Portsmouth 6
Recife 6
Reston 6
San Francisco 6
Treviso 6
Bandung 5
Bengaluru 5
Buenos Aires 5
Totale 4.752
Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 360
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 353
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 340
Siamese Neural Networks: An Overview 317
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 302
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 274
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 271
Bioconda: Sustainable and comprehensive software distribution for the life sciences 204
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 170
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 160
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 156
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction 153
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 148
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 147
Ten quick tips for electrocardiogram (ECG) signal processing 139
Ten quick tips for fuzzy logic modeling of biomedical systems 134
Gene signatures for cancer research: A 25-year retrospective and future avenues 130
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 129
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 124
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 123
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 123
A teaching proposal for a short course on biomedical data science 123
Ten simple rules for organizing a special session at a scientific conference 122
Eleven quick tips for data cleaning and feature engineering 121
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing 118
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme 117
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 116
Ensemble machine learning reveals key features for diabetes duration from electronic health records 114
Nine quick tips for pathway enrichment analysis 111
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 111
Ten quick tips for computational analysis of medical images 107
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 105
Ten simple rules for providing bioinformatics support within a hospital 105
Biological and medical ontologies: Protein ontology (PRO) 104
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 104
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease 100
Eight quick tips for biologically and medically informed machine learning 100
Seven quick tips for gene-focused computational pangenomic analysis 99
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning 93
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 93
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 92
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 92
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 92
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 91
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 90
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 90
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 90
A brief survey of tools for genomic regions enrichment analysis 89
Ten quick tips for machine learning in computational biology 88
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 87
Data analytics and clinical feature ranking of medical records of patients with sepsis 84
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 84
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 84
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 84
Computational algorithms to predict Gene Ontology annotations 82
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 82
Preface of the CIBB 2021 proceedings book 81
Hyperdimensional computing in biomedical sciences: A brief review 80
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 79
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 79
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 79
Latent dirichlet allocation based on gibbs sampling for gene function prediction 78
A discrete optimization approach for SVD best truncation choice based on ROC curves 78
Extended spearman and Kendall coefficients for gene annotation list correlation 78
Brief Survey on Machine Learning in Epistasis 77
Validation pipeline for computational prediction of genomics annotation 77
Semantically improved genome-wide prediction of Gene Ontology annotations 75
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 74
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 72
Genome Informatics 2016 72
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 71
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 67
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 66
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 65
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 65
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 62
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 32
Nine quick tips for trustworthy machine learning in the biomedical sciences 25
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters 16
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper" 8
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program 2
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 2
TaGra: an open Python package for easily generating graphs from data tables through manifold learning 2
Totale 9.283
Categoria #
all - tutte 37.214
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 37.214


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202116 0 0 0 0 0 0 0 2 1 7 0 6
2021/202211 2 3 0 1 0 0 2 0 0 0 1 2
2022/202312 2 2 1 0 0 2 0 1 0 0 0 4
2023/20241.190 174 73 21 63 76 197 147 45 150 40 48 156
2024/20254.092 174 289 121 223 232 238 143 184 385 471 846 786
2025/20263.925 795 570 552 874 636 443 55 0 0 0 0 0
Totale 9.283