Bicocca Open Archive

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CHICCO, DAVIDE
 Distribuzione geografica
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Continente #
AS - Asia 5.910
NA - Nord America 3.929
EU - Europa 2.828
SA - Sud America 802
AF - Africa 128
OC - Oceania 11
Continente sconosciuto - Info sul continente non disponibili 1
Totale 13.609
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Nazione #
US - Stati Uniti d'America 3.763
SG - Singapore 2.423
IT - Italia 1.140
CN - Cina 1.007
HK - Hong Kong 722
BR - Brasile 610
VN - Vietnam 556
RU - Federazione Russa 487
BD - Bangladesh 245
DE - Germania 196
ID - Indonesia 192
KR - Corea 191
IE - Irlanda 187
FR - Francia 184
IN - India 148
NL - Olanda 130
FI - Finlandia 110
CA - Canada 88
GB - Regno Unito 88
AR - Argentina 82
TR - Turchia 64
IQ - Iraq 55
PH - Filippine 54
AT - Austria 48
JP - Giappone 48
MX - Messico 48
PL - Polonia 40
ZA - Sudafrica 40
SE - Svezia 38
ES - Italia 37
PK - Pakistan 36
SA - Arabia Saudita 26
EC - Ecuador 25
CO - Colombia 23
UA - Ucraina 23
MY - Malesia 19
VE - Venezuela 19
CH - Svizzera 16
MA - Marocco 15
PE - Perù 15
UZ - Uzbekistan 15
EG - Egitto 13
ET - Etiopia 13
CL - Cile 12
TH - Thailandia 12
AU - Australia 11
NO - Norvegia 11
NP - Nepal 11
TW - Taiwan 11
TN - Tunisia 10
AE - Emirati Arabi Uniti 9
CR - Costa Rica 9
LT - Lituania 9
UY - Uruguay 9
AL - Albania 8
BE - Belgio 8
JO - Giordania 8
DK - Danimarca 7
KE - Kenya 7
LB - Libano 7
ME - Montenegro 7
AZ - Azerbaigian 6
CZ - Repubblica Ceca 6
KZ - Kazakistan 6
RO - Romania 6
RS - Serbia 6
DZ - Algeria 5
GR - Grecia 5
HN - Honduras 5
IR - Iran 5
OM - Oman 5
PT - Portogallo 5
SN - Senegal 5
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
JM - Giamaica 3
NG - Nigeria 3
PA - Panama 3
PS - Palestinian Territory 3
AM - Armenia 2
BG - Bulgaria 2
BH - Bahrain 2
BY - Bielorussia 2
CG - Congo 2
CY - Cipro 2
EE - Estonia 2
HU - Ungheria 2
KG - Kirghizistan 2
LV - Lettonia 2
MD - Moldavia 2
MG - Madagascar 2
QA - Qatar 2
Totale 13.582
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Città #
Singapore 1.103
Hong Kong 691
San Jose 535
Ashburn 464
Hefei 370
Milan 238
New York 236
Dublin 181
Seoul 170
Los Angeles 165
Ho Chi Minh City 163
Council Bluffs 145
Jakarta 141
Hanoi 134
Santa Clara 130
Chicago 128
Dallas 119
Boardman 118
The Dalles 114
Beijing 109
Rome 94
Lauterbourg 79
Buffalo 75
São Paulo 74
Helsinki 72
Moscow 54
Amsterdam 51
Frankfurt am Main 49
Nuremberg 44
Orem 42
Shanghai 39
Naples 34
Tokyo 33
Montreal 32
Da Nang 31
Columbus 30
Haiphong 29
Lappeenranta 28
North Bergen 28
Warsaw 26
Turin 24
Chennai 22
Istanbul 22
Baghdad 21
Munich 21
Palermo 21
Vienna 20
Toronto 19
Ann Arbor 18
Rio de Janeiro 18
Brooklyn 17
Guangzhou 17
Phoenix 17
Stockholm 17
London 16
Salt Lake City 16
Sesto San Giovanni 16
Dhaka 15
Florence 15
Mexico City 15
Brasília 14
Figino 14
Newark 14
Seattle 14
Charlotte 13
Johannesburg 13
Lizzanello 13
Addis Ababa 12
Ankara 12
Atlanta 12
Bandung 12
Denver 12
Houston 12
Miami 12
Quezon City 12
Wilmington 12
Fairfield 11
Hải Dương 11
Paris 11
Poplar 11
Tashkent 11
Brescia 10
Düsseldorf 10
Kent 10
Madrid 10
Mumbai 10
Osasco 10
Quito 10
San Francisco 10
Shenzhen 10
Zurich 10
Belo Horizonte 9
Dammam 9
Delhi 9
Lima 9
Memphis 9
Perugia 9
Porto Alegre 9
Tampa 9
Bengaluru 8
Totale 7.203
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Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 496
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 430
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 405
Siamese Neural Networks: An Overview 378
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 357
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 348
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 344
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 289
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 253
Bioconda: Sustainable and comprehensive software distribution for the life sciences 246
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 244
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 242
Biological and medical ontologies: Protein ontology (PRO) 219
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 217
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 203
Ten quick tips for electrocardiogram (ECG) signal processing 199
Hyperdimensional computing in biomedical sciences: A brief review 197
A teaching proposal for a short course on biomedical data science 197
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 192
Gene signatures for cancer research: A 25-year retrospective and future avenues 189
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 188
Ensemble machine learning reveals key features for diabetes duration from electronic health records 186
Ten simple rules for organizing a special session at a scientific conference 182
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 181
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 176
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 174
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing 173
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program 171
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme 171
Ten quick tips for fuzzy logic modeling of biomedical systems 171
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 170
Nine quick tips for pathway enrichment analysis 166
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 166
Eleven quick tips for data cleaning and feature engineering 164
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 158
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 157
Eight quick tips for biologically and medically informed machine learning 155
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 142
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease 139
Ten quick tips for computational analysis of medical images 139
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning 136
Ten simple rules for providing bioinformatics support within a hospital 136
Seven quick tips for gene-focused computational pangenomic analysis 136
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 133
A brief survey of tools for genomic regions enrichment analysis 133
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 131
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 128
Latent dirichlet allocation based on gibbs sampling for gene function prediction 127
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 120
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 120
A discrete optimization approach for SVD best truncation choice based on ROC curves 120
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 120
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 119
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 118
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 116
Ten quick tips for machine learning in computational biology 116
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 115
Preface of the CIBB 2021 proceedings book 114
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 113
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 113
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 111
Computational algorithms to predict Gene Ontology annotations 109
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 109
Data analytics and clinical feature ranking of medical records of patients with sepsis 107
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 107
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 106
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 105
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 105
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 105
Extended spearman and Kendall coefficients for gene annotation list correlation 103
Semantically improved genome-wide prediction of Gene Ontology annotations 102
Brief Survey on Machine Learning in Epistasis 102
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 100
Validation pipeline for computational prediction of genomics annotation 99
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 96
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 95
Genome Informatics 2016 93
Nine quick tips for trustworthy machine learning in the biomedical sciences 92
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters 90
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 90
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 88
TaGra: an open Python package for easily generating graphs from data tables through manifold learning 82
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper" 74
Data-driven probabilistic mapping of the spatial and molecular landscape of glioma 56
The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation 47
Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls 33
The Gap Statistic can be misleading when used to evaluate near box shaped clusters in the Euclidean space 23
A modular transcriptomic signature paired with machine learning reveals core immune pathways in sepsis diagnosis 13
DBSCAN applied to EHRs data from patients with glioblastoma clusters patients based on cytosolic Hsp70 protein, sex, and brain subventricular zone 12
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation 10
Totale 13.902
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Categoria #
all - tutte 47.625
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 47.625
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20216 0 0 0 0 0 0 0 0 0 0 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
2025/20268.544 795 570 552 874 636 443 1.449 449 693 853 427 803
Totale 13.902