CHICCO, DAVIDE
 Distribuzione geografica
Continente #
AS - Asia 6.052
NA - Nord America 5.969
EU - Europa 3.402
SA - Sud America 835
Continente sconosciuto - Info sul continente non disponibili 354
AF - Africa 136
OC - Oceania 13
Totale 16.761
Nazione #
US - Stati Uniti d'America 5.695
SG - Singapore 2.444
IT - Italia 1.636
CN - Cina 1.021
HK - Hong Kong 723
BR - Brasile 629
VN - Vietnam 567
RU - Federazione Russa 488
BD - Bangladesh 283
DE - Germania 206
ID - Indonesia 206
FR - Francia 199
KR - Corea 199
IE - Irlanda 188
IN - India 155
CA - Canada 146
NL - Olanda 144
FI - Finlandia 110
GB - Regno Unito 108
AR - Argentina 82
TR - Turchia 68
IQ - Iraq 57
PH - Filippine 57
JP - Giappone 53
MX - Messico 50
AT - Austria 48
ZA - Sudafrica 44
ES - Italia 41
PL - Polonia 40
PK - Pakistan 39
SE - Svezia 39
CO - Colombia 30
EC - Ecuador 26
SA - Arabia Saudita 26
UA - Ucraina 23
VE - Venezuela 22
MY - Malesia 21
CR - Costa Rica 19
JM - Giamaica 17
CH - Svizzera 16
PE - Perù 16
UZ - Uzbekistan 16
MA - Marocco 15
BE - Belgio 14
TH - Thailandia 14
AU - Australia 13
EG - Egitto 13
ET - Etiopia 13
TW - Taiwan 13
CL - Cile 12
NO - Norvegia 11
NP - Nepal 11
UY - Uruguay 11
TN - Tunisia 10
AE - Emirati Arabi Uniti 9
GR - Grecia 9
JO - Giordania 9
LT - Lituania 9
AL - Albania 8
KE - Kenya 8
CZ - Repubblica Ceca 7
DK - Danimarca 7
IR - Iran 7
LB - Libano 7
ME - Montenegro 7
RO - Romania 7
TT - Trinidad e Tobago 7
AZ - Azerbaigian 6
HN - Honduras 6
KZ - Kazakistan 6
NI - Nicaragua 6
RS - Serbia 6
DZ - Algeria 5
OM - Oman 5
PT - Portogallo 5
SN - Senegal 5
GH - Ghana 4
GT - Guatemala 4
IL - Israele 4
KW - Kuwait 4
PY - Paraguay 4
SK - Slovacchia (Repubblica Slovacca) 4
SY - Repubblica araba siriana 4
AO - Angola 3
BA - Bosnia-Erzegovina 3
BN - Brunei Darussalam 3
CI - Costa d'Avorio 3
HR - Croazia 3
NG - Nigeria 3
PA - Panama 3
PR - Porto Rico 3
PS - Palestinian Territory 3
AM - Armenia 2
BG - Bulgaria 2
BH - Bahrain 2
BS - Bahamas 2
BY - Bielorussia 2
CG - Congo 2
CY - Cipro 2
EE - Estonia 2
Totale 16.369
Città #
Singapore 1.111
San Jose 877
Ashburn 757
Hong Kong 692
Hefei 370
Milan 328
New York 256
Council Bluffs 239
Los Angeles 194
Staranzano 182
Dublin 181
Santa Clara 176
Seoul 171
Ho Chi Minh City 164
Chicago 149
Hanoi 143
Rome 143
Jakarta 141
Dallas 140
Boardman 132
The Dalles 116
Beijing 114
Phoenix 84
Buffalo 79
Lauterbourg 79
São Paulo 76
Helsinki 72
Columbus 57
Moscow 55
Frankfurt am Main 52
Amsterdam 51
Orem 45
Nuremberg 44
Montreal 39
Shanghai 39
Naples 37
Tokyo 35
North Bergen 32
Da Nang 31
Turin 31
Figino 29
Haiphong 29
Toronto 29
Biloxi 28
Lappeenranta 28
Palermo 28
Warsaw 26
Seattle 25
Baghdad 23
Brooklyn 23
Chennai 23
Istanbul 23
Denver 21
Munich 21
London 20
Sesto San Giovanni 20
Vienna 20
Ann Arbor 19
Atlanta 18
Brasília 18
Charlotte 18
Florence 18
Rio de Janeiro 18
Salt Lake City 18
Dhaka 17
Guangzhou 17
Miami 17
Newark 17
Stockholm 17
Houston 16
Mexico City 16
Bandung 14
Johannesburg 14
Las Vegas 14
Brescia 13
Lizzanello 13
Paris 13
Philadelphia 13
Tampa 13
Wilmington 13
Addis Ababa 12
Ankara 12
Düsseldorf 12
Madrid 12
Quezon City 12
San Francisco 12
St Louis 12
Tashkent 12
Bologna 11
Boston 11
Fairfield 11
Hải Dương 11
Mumbai 11
Perugia 11
Poplar 11
Kent 10
Lahore 10
Memphis 10
Osasco 10
Quito 10
Totale 8.717
Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 574
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 464
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 452
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 432
Siamese Neural Networks: An Overview 424
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 420
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 413
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 391
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 292
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 289
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 286
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 279
Bioconda: Sustainable and comprehensive software distribution for the life sciences 268
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 263
Hyperdimensional computing in biomedical sciences: A brief review 249
Biological and medical ontologies: Protein ontology (PRO) 236
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 230
A teaching proposal for a short course on biomedical data science 229
Ten quick tips for electrocardiogram (ECG) signal processing 226
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 215
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program 213
Ensemble machine learning reveals key features for diabetes duration from electronic health records 212
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 208
Gene signatures for cancer research: A 25-year retrospective and future avenues 207
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 204
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing 203
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 200
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme 197
Ten simple rules for organizing a special session at a scientific conference 197
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 196
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 196
Nine quick tips for pathway enrichment analysis 193
Ten quick tips for fuzzy logic modeling of biomedical systems 192
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 189
Eleven quick tips for data cleaning and feature engineering 184
Eight quick tips for biologically and medically informed machine learning 184
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 174
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning 167
A brief survey of tools for genomic regions enrichment analysis 157
Seven quick tips for gene-focused computational pangenomic analysis 156
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 155
Ten quick tips for computational analysis of medical images 155
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 155
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease 154
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 154
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 151
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 150
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 149
Ten simple rules for providing bioinformatics support within a hospital 148
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 145
Latent dirichlet allocation based on gibbs sampling for gene function prediction 144
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 142
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 140
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 139
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 138
A discrete optimization approach for SVD best truncation choice based on ROC curves 136
Ten quick tips for machine learning in computational biology 135
Data analytics and clinical feature ranking of medical records of patients with sepsis 134
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters 132
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 132
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 131
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 128
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 128
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 127
Nine quick tips for trustworthy machine learning in the biomedical sciences 126
Preface of the CIBB 2021 proceedings book 126
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 123
Data-driven probabilistic mapping of the spatial and molecular landscape of glioma 123
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 122
Brief Survey on Machine Learning in Epistasis 122
Validation pipeline for computational prediction of genomics annotation 121
Computational algorithms to predict Gene Ontology annotations 120
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 120
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 120
TaGra: an open Python package for easily generating graphs from data tables through manifold learning 120
The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation 119
Extended spearman and Kendall coefficients for gene annotation list correlation 118
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 115
Semantically improved genome-wide prediction of Gene Ontology annotations 114
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 112
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 110
Genome Informatics 2016 109
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 109
Comment on “Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper” 106
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 99
A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classification 91
The Gap Statistic can be misleading when used to evaluate near box shaped clusters in the Euclidean space 75
Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls 71
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation 59
A modular transcriptomic signature paired with machine learning reveals core immune pathways in sepsis diagnosis 54
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zone 51
Eleven quick tips to reduce overfitting in machine learning 28
Predicting the Toxicity of Chemical Compounds via Hyperdimensional Computing 15
Totale 16.761
Categoria #
all - tutte 56.188
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 56.188


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20226 0 0 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
2025/20268.657 795 570 552 874 636 443 1.449 449 693 853 427 916
2026/20272.746 510 530 1.381 325 0 0 0 0 0 0 0 0
Totale 16.761