Bicocca Open Archive

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CHICCO, DAVIDE
 Distribuzione geografica
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Continente #
AS - Asia 4.185
NA - Nord America 2.215
EU - Europa 1.761
SA - Sud America 632
AF - Africa 58
OC - Oceania 9
Continente sconosciuto - Info sul continente non disponibili 1
Totale 8.861
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Nazione #
US - Stati Uniti d'America 2.128
SG - Singapore 1.933
CN - Cina 847
HK - Hong Kong 619
BR - Brasile 519
IT - Italia 483
RU - Federazione Russa 474
VN - Vietnam 244
IE - Irlanda 180
DE - Germania 162
KR - Corea 162
ID - Indonesia 154
NL - Olanda 82
FR - Francia 71
GB - Regno Unito 59
IN - India 59
AR - Argentina 50
CA - Canada 47
FI - Finlandia 42
AT - Austria 41
SE - Svezia 34
MX - Messico 31
JP - Giappone 30
TR - Turchia 29
PL - Polonia 27
ZA - Sudafrica 25
ES - Italia 23
BD - Bangladesh 20
UA - Ucraina 16
EC - Ecuador 14
PE - Perù 12
IQ - Iraq 11
CO - Colombia 10
PH - Filippine 10
AU - Australia 9
TW - Taiwan 9
UY - Uruguay 9
VE - Venezuela 9
NO - Norvegia 8
AE - Emirati Arabi Uniti 7
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
MY - Malesia 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
HU - Ungheria 2
IL - Israele 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
CR - Costa Rica 1
DM - Dominica 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
EE - Estonia 1
HR - Croazia 1
KE - Kenya 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 8.860
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Città #
Singapore 822
Hong Kong 600
Hefei 368
Ashburn 305
Dublin 174
New York 172
Seoul 151
Jakarta 139
Santa Clara 118
Los Angeles 117
Milan 99
Dallas 96
Beijing 95
Ho Chi Minh City 79
Boardman 78
Hanoi 66
São Paulo 62
Buffalo 54
Moscow 53
Nuremberg 44
The Dalles 42
Chicago 38
Shanghai 38
Amsterdam 36
Council Bluffs 35
Frankfurt am Main 33
North Bergen 23
Tokyo 22
Munich 21
Naples 20
Montreal 19
Vienna 19
Warsaw 19
Ann Arbor 17
Helsinki 17
Lappeenranta 17
Rome 16
Stockholm 16
Palermo 15
Rio de Janeiro 15
Salt Lake City 15
Turin 15
Brasília 14
Chennai 14
Orem 14
Guangzhou 13
Istanbul 13
Lizzanello 13
Mexico City 12
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
Porto Alegre 9
Seattle 9
Boydton 8
Brooklyn 8
Corsico 8
Houston 8
Johannesburg 8
London 8
Pittsburgh 8
San Jose 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 4.679
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Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 354
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 351
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 339
Siamese Neural Networks: An Overview 317
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 301
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 270
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 268
Bioconda: Sustainable and comprehensive software distribution for the life sciences 202
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 169
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 158
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 152
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 145
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 145
Ten quick tips for electrocardiogram (ECG) signal processing 138
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 137
Ten quick tips for fuzzy logic modeling of biomedical systems 133
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 127
Gene signatures for cancer research: A 25-year retrospective and future avenues 125
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 123
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 122
A teaching proposal for a short course on biomedical data science 121
Ten simple rules for organizing a special session at a scientific conference 119
Eleven quick tips for data cleaning and feature engineering 118
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
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 114
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 114
Ensemble machine learning reveals key features for diabetes duration from electronic health records 111
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 110
Ten quick tips for computational analysis of medical images 105
Biological and medical ontologies: Protein ontology (PRO) 104
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 104
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 103
Nine quick tips for pathway enrichment analysis 103
Ten simple rules for providing bioinformatics support within a hospital 102
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 92
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 92
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 91
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 89
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 89
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 89
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 88
Ten quick tips for machine learning in computational biology 88
A brief survey of tools for genomic regions enrichment analysis 87
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 87
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 86
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 85
Data analytics and clinical feature ranking of medical records of patients with sepsis 84
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 84
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 83
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 82
Computational algorithms to predict Gene Ontology annotations 81
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 80
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 79
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 78
Extended spearman and Kendall coefficients for gene annotation list correlation 78
Latent dirichlet allocation based on gibbs sampling for gene function prediction 77
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 77
A discrete optimization approach for SVD best truncation choice based on ROC curves 77
Brief Survey on Machine Learning in Epistasis 77
Hyperdimensional computing in biomedical sciences: A brief review 77
Validation pipeline for computational prediction of genomics annotation 77
Preface of the CIBB 2021 proceedings book 76
Semantically improved genome-wide prediction of Gene Ontology annotations 75
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 72
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 71
Genome Informatics 2016 70
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 69
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 66
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 66
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 65
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 64
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 61
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 30
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 14
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper" 8
Totale 9.124
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Categoria #
all - tutte 36.474
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 36.474
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202118 0 0 0 0 0 2 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
2025/20263.766 795 570 552 874 636 339 0 0 0 0 0 0
Totale 9.124