CHICCO, DAVIDE
 Distribuzione geografica
Continente #
AS - Asia 5.990
NA - Nord America 4.428
EU - Europa 3.021
SA - Sud America 813
Continente sconosciuto - Info sul continente non disponibili 347
AF - Africa 133
OC - Oceania 11
Totale 14.743
Nazione #
US - Stati Uniti d'America 4.222
SG - Singapore 2.437
IT - Italia 1.302
CN - Cina 1.013
HK - Hong Kong 723
BR - Brasile 619
VN - Vietnam 565
RU - Federazione Russa 487
BD - Bangladesh 270
DE - Germania 200
ID - Indonesia 199
KR - Corea 194
FR - Francia 188
IE - Irlanda 188
IN - India 152
NL - Olanda 140
FI - Finlandia 110
CA - Canada 107
GB - Regno Unito 92
AR - Argentina 82
TR - Turchia 64
IQ - Iraq 55
PH - Filippine 54
JP - Giappone 51
MX - Messico 49
AT - Austria 48
ZA - Sudafrica 41
ES - Italia 40
PL - Polonia 40
SE - Svezia 39
PK - Pakistan 38
SA - Arabia Saudita 26
EC - Ecuador 25
CO - Colombia 23
UA - Ucraina 23
VE - Venezuela 20
MY - Malesia 19
CH - Svizzera 16
PE - Perù 16
UZ - Uzbekistan 16
CR - Costa Rica 15
MA - Marocco 15
EG - Egitto 13
ET - Etiopia 13
TH - Thailandia 13
TW - Taiwan 13
CL - Cile 12
AU - Australia 11
NO - Norvegia 11
NP - Nepal 11
TN - Tunisia 10
AE - Emirati Arabi Uniti 9
LT - Lituania 9
UY - Uruguay 9
AL - Albania 8
BE - Belgio 8
GR - Grecia 8
JO - Giordania 8
KE - Kenya 8
DK - Danimarca 7
IR - Iran 7
JM - Giamaica 7
LB - Libano 7
ME - Montenegro 7
RO - Romania 7
AZ - Azerbaigian 6
CZ - Repubblica Ceca 6
HN - Honduras 6
KZ - Kazakistan 6
RS - Serbia 6
DZ - Algeria 5
OM - Oman 5
PT - Portogallo 5
SN - Senegal 5
GH - Ghana 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
IL - Israele 3
NG - Nigeria 3
NI - Nicaragua 3
PA - Panama 3
PS - Palestinian Territory 3
TT - Trinidad e Tobago 3
AM - Armenia 2
BG - Bulgaria 2
BH - Bahrain 2
BY - Bielorussia 2
CG - Congo 2
CY - Cipro 2
EE - Estonia 2
GT - Guatemala 2
HU - Ungheria 2
KG - Kirghizistan 2
Totale 14.362
Città #
Singapore 1.110
Hong Kong 692
San Jose 616
Ashburn 517
Hefei 370
Milan 301
New York 244
Dublin 181
Los Angeles 174
Seoul 170
Ho Chi Minh City 163
Council Bluffs 152
Santa Clara 149
Hanoi 142
Jakarta 141
Chicago 132
Boardman 128
Dallas 122
Rome 121
The Dalles 114
Beijing 110
Lauterbourg 79
Buffalo 76
São Paulo 74
Helsinki 72
Columbus 56
Moscow 54
Amsterdam 51
Frankfurt am Main 49
Nuremberg 44
Orem 43
Shanghai 39
Naples 35
Montreal 34
Tokyo 33
Da Nang 31
Haiphong 29
North Bergen 29
Lappeenranta 28
Turin 27
Warsaw 26
Chennai 23
Phoenix 23
Istanbul 22
Baghdad 21
Figino 21
Munich 21
Palermo 21
Toronto 21
Vienna 20
Brooklyn 19
Ann Arbor 18
Rio de Janeiro 18
Seattle 18
Guangzhou 17
London 17
Salt Lake City 17
Sesto San Giovanni 17
Stockholm 17
Dhaka 16
Florence 16
Mexico City 15
Newark 15
Bandung 14
Brasília 14
Denver 14
Johannesburg 14
Miami 14
Atlanta 13
Charlotte 13
Houston 13
Lizzanello 13
Addis Ababa 12
Ankara 12
Brescia 12
Paris 12
Quezon City 12
Tashkent 12
Wilmington 12
Fairfield 11
Hải Dương 11
Madrid 11
Poplar 11
Tampa 11
Düsseldorf 10
Kent 10
Mumbai 10
Osasco 10
Quito 10
San Francisco 10
Shenzhen 10
St Louis 10
Zurich 10
Belo Horizonte 9
Bengaluru 9
Bologna 9
Dammam 9
Delhi 9
Lahore 9
Las Vegas 9
Totale 7.585
Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 523
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 440
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 415
Siamese Neural Networks: An Overview 392
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 377
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 369
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 369
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 322
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 263
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 255
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 253
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 251
Bioconda: Sustainable and comprehensive software distribution for the life sciences 251
Biological and medical ontologies: Protein ontology (PRO) 224
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 222
Hyperdimensional computing in biomedical sciences: A brief review 222
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 212
Ten quick tips for electrocardiogram (ECG) signal processing 210
A teaching proposal for a short course on biomedical data science 206
Gene signatures for cancer research: A 25-year retrospective and future avenues 194
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 194
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 192
Ensemble machine learning reveals key features for diabetes duration from electronic health records 191
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 186
Ten simple rules for organizing a special session at a scientific conference 186
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 184
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing 180
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program 179
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme 177
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 177
Nine quick tips for pathway enrichment analysis 176
Ten quick tips for fuzzy logic modeling of biomedical systems 174
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 173
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 170
Eleven quick tips for data cleaning and feature engineering 168
Eight quick tips for biologically and medically informed machine learning 162
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 158
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 143
A brief survey of tools for genomic regions enrichment analysis 143
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning 141
Ten quick tips for computational analysis of medical images 141
Seven quick tips for gene-focused computational pangenomic analysis 140
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease 139
Ten simple rules for providing bioinformatics support within a hospital 138
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 137
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 133
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 132
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 131
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 130
Latent dirichlet allocation based on gibbs sampling for gene function prediction 127
A discrete optimization approach for SVD best truncation choice based on ROC curves 125
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 123
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 123
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 122
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 121
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 120
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 120
Ten quick tips for machine learning in computational biology 120
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 118
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 118
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 115
Preface of the CIBB 2021 proceedings book 114
Data analytics and clinical feature ranking of medical records of patients with sepsis 113
Computational algorithms to predict Gene Ontology annotations 110
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 109
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 109
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 108
Extended spearman and Kendall coefficients for gene annotation list correlation 108
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 107
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters 106
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 106
Brief Survey on Machine Learning in Epistasis 106
Nine quick tips for trustworthy machine learning in the biomedical sciences 105
Semantically improved genome-wide prediction of Gene Ontology annotations 102
Validation pipeline for computational prediction of genomics annotation 101
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 100
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 97
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 96
TaGra: an open Python package for easily generating graphs from data tables through manifold learning 96
Genome Informatics 2016 94
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 94
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 90
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper" 84
The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation 77
Data-driven probabilistic mapping of the spatial and molecular landscape of glioma 66
A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classification 64
The Gap Statistic can be misleading when used to evaluate near box shaped clusters in the Euclidean space 47
Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls 43
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation 35
A modular transcriptomic signature paired with machine learning reveals core immune pathways in sepsis diagnosis 30
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zone 29
Totale 14.743
Categoria #
all - tutte 51.689
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 51.689


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20229 0 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
2025/20268.657 795 570 552 874 636 443 1.449 449 693 853 427 916
2026/2027728 510 218 0 0 0 0 0 0 0 0 0 0
Totale 14.743