Bicocca Open Archive

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CHICCO, DAVIDE
 Distribuzione geografica
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Continente #
AS - Asia 5.729
NA - Nord America 3.579
EU - Europa 2.436
SA - Sud America 801
AF - Africa 128
OC - Oceania 11
Continente sconosciuto - Info sul continente non disponibili 1
Totale 12.685
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Nazione #
US - Stati Uniti d'America 3.439
SG - Singapore 2.415
CN - Cina 997
IT - Italia 773
HK - Hong Kong 721
BR - Brasile 610
VN - Vietnam 555
RU - Federazione Russa 487
DE - Germania 196
KR - Corea 191
ID - Indonesia 190
IE - Irlanda 186
FR - Francia 179
IN - India 143
NL - Olanda 124
FI - Finlandia 110
BD - Bangladesh 93
GB - Regno Unito 87
AR - Argentina 82
CA - Canada 73
TR - Turchia 63
IQ - Iraq 55
PH - Filippine 54
AT - Austria 48
JP - Giappone 48
MX - Messico 47
ZA - Sudafrica 40
SE - Svezia 38
ES - Italia 36
PL - Polonia 36
PK - Pakistan 35
SA - Arabia Saudita 26
EC - Ecuador 25
CO - Colombia 23
UA - Ucraina 23
MY - Malesia 19
VE - Venezuela 18
CH - Svizzera 15
MA - Marocco 15
PE - Perù 15
UZ - Uzbekistan 15
EG - Egitto 13
ET - Etiopia 13
CL - Cile 12
TH - Thailandia 12
AU - Australia 11
NP - Nepal 11
TW - Taiwan 11
TN - Tunisia 10
AE - Emirati Arabi Uniti 9
LT - Lituania 9
UY - Uruguay 9
AL - Albania 8
JO - Giordania 8
NO - Norvegia 8
BE - Belgio 7
KE - Kenya 7
LB - Libano 7
ME - Montenegro 7
AZ - Azerbaigian 6
CR - Costa Rica 6
CZ - Repubblica Ceca 6
KZ - Kazakistan 6
RO - Romania 6
RS - Serbia 6
DK - Danimarca 5
DZ - Algeria 5
GR - Grecia 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
HN - Honduras 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 12.663
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Città #
Singapore 1.101
Hong Kong 690
San Jose 532
Ashburn 414
Hefei 370
New York 224
Dublin 180
Seoul 170
Ho Chi Minh City 163
Los Angeles 146
Jakarta 141
Hanoi 134
Milan 134
Council Bluffs 131
Santa Clara 124
Chicago 122
The Dalles 114
Dallas 113
Beijing 109
Boardman 89
Lauterbourg 79
São Paulo 74
Helsinki 72
Buffalo 64
Moscow 54
Amsterdam 51
Frankfurt am Main 49
Nuremberg 44
Orem 41
Shanghai 39
Rome 34
Tokyo 33
Da Nang 31
Haiphong 29
Lappeenranta 28
Montreal 27
North Bergen 26
Warsaw 26
Naples 25
Chennai 22
Istanbul 22
Baghdad 21
Munich 21
Vienna 20
Ann Arbor 18
Rio de Janeiro 18
Turin 18
Guangzhou 17
Stockholm 17
Toronto 17
Palermo 16
Salt Lake City 16
Dhaka 15
Sesto San Giovanni 15
Brasília 14
London 14
Mexico City 14
Johannesburg 13
Lizzanello 13
Addis Ababa 12
Ankara 12
Atlanta 12
Bandung 12
Charlotte 12
Quezon City 12
Wilmington 12
Brooklyn 11
Denver 11
Fairfield 11
Hải Dương 11
Miami 11
Paris 11
Phoenix 11
Poplar 11
Seattle 11
Tashkent 11
Düsseldorf 10
Florence 10
Kent 10
Madrid 10
Osasco 10
Quito 10
San Francisco 10
Shenzhen 10
Belo Horizonte 9
Dammam 9
Houston 9
Lima 9
Mumbai 9
Newark 9
Porto Alegre 9
Zurich 9
Boydton 8
Brescia 8
Buenos Aires 8
Cairo 8
Caracas 8
Corsico 8
Delhi 8
Kyiv 8
Totale 6.778
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Nome #
The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification 478
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study 418
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index 394
Siamese Neural Networks: An Overview 363
The Venus score for the assessment of the quality and trustworthiness of biomedical datasets 350
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 335
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 331
A simple guide to the use of Student’s t-test, Mann-Whitney U test, Chi-squared test, and Kruskal-Wallis test in biostatistics 248
Bioconda: Sustainable and comprehensive software distribution for the life sciences 232
Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering 228
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 223
The Benefits of the Matthews Correlation Coefficient (MCC) over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment 208
Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques 199
Ten quick tips for electrocardiogram (ECG) signal processing 192
The matthews correlation coefficient (Mcc) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation 192
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 187
Gene signatures for cancer research: A 25-year retrospective and future avenues 184
A teaching proposal for a short course on biomedical data science 184
Ten quick tips for avoiding pitfalls in multi-omics data integration analyses 169
Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme 169
A Survey on Publicly Available Open Datasets Derived From Electronic Health Records (EHRs) of Patients with Neuroblastoma 169
Ten simple rules for organizing a special session at a scientific conference 169
Ensemble machine learning reveals key features for diabetes duration from electronic health records 169
Ten quick tips for fuzzy logic modeling of biomedical systems 167
Biological and medical ontologies: Protein ontology (PRO) 164
Ten quick tips for clinical electroencephalographic (EEG) data acquisition and signal processing 162
Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression 161
Eleven quick tips for data cleaning and feature engineering 160
Nine quick tips for pathway enrichment analysis 159
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records 157
Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma 155
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 154
Hyperdimensional computing in biomedical sciences: A brief review 150
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 150
Eight quick tips for biologically and medically informed machine learning 149
Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program 145
Ten quick tips for computational analysis of medical images 137
A Machine Learning Analysis of Health Records of Patients with Chronic Kidney Disease at Risk of Cardiovascular Disease 135
Ten quick tips for bioinformatics analyses using an Apache Spark distributed computing environment 133
Ten simple rules for providing bioinformatics support within a hospital 133
Seven quick tips for gene-focused computational pangenomic analysis 133
Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning 128
A brief survey of tools for genomic regions enrichment analysis 128
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen 125
geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO) 125
Computational intelligence identifies alkaline phosphatase (Alp), alpha-fetoprotein (afp), and hemoglobin levels as most predictive survival factors for hepatocellular carcinoma 121
Survival prediction of patients with sepsis from age, sex, and septic episode number alone 118
Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality 118
Latent dirichlet allocation based on gibbs sampling for gene function prediction 117
geoCancerPrognosticDatasetsRetriever: A bioinformatics tool to easily identify cancer prognostic datasets on Gene Expression Omnibus (GEO) 117
An Invitation to Greater Use of Matthews Correlation Coefficient in Robotics and Artificial Intelligence 117
Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review 116
Computational Intelligence Methods for Bioinformatics and Biostatistics 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers 114
Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations 112
Deep Autoencoder Neural Networks for Gene Ontology Annotation Predictions 112
Preface of the CIBB 2021 proceedings book 112
The ABC recommendations for validation of supervised machine learning results in biomedical sciences 109
DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma 108
Computational prediction of diagnosis and feature selection on mesothelioma patient health records 108
Ten quick tips for machine learning in computational biology 108
Data analytics and clinical feature ranking of medical records of patients with sepsis 107
Computational algorithms to predict Gene Ontology annotations 105
Stratification of amyotrophic lateral sclerosis patients: A crowdsourcing approach 105
Supervised deep learning embeddings for the prediction of cervical cancer diagnosis 104
Novelty indicator for enhanced prioritization of predicted gene ontology annotations 103
Extended spearman and Kendall coefficients for gene annotation list correlation 103
An ensemble learning approach for enhanced classification of patients with hepatitis and cirrhosis 102
Semantically improved genome-wide prediction of Gene Ontology annotations 101
Ontology-Based Prediction and Prioritization of Gene Functional Annotations 101
An Enhanced Random Forests Approach to Predict Heart Failure from Small Imbalanced Gene Expression Data 97
A discrete optimization approach for SVD best truncation choice based on ROC curves 97
Brief Survey on Machine Learning in Epistasis 95
Validation pipeline for computational prediction of genomics annotation 94
Software Suite for Gene and Protein Annotation Prediction and Similarity Search 93
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering 92
Genome Informatics 2016 90
Enhanced probabilistic latent semantic analysis with weighting schemes to predict genomic annotations 90
Editorial: Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies 88
Arterial Disease Computational Prediction and Health Record Feature Ranking among Patients Diagnosed with Inflammatory Bowel Disease 86
Nine quick tips for trustworthy machine learning in the biomedical sciences 82
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters 80
TaGra: an open Python package for easily generating graphs from data tables through manifold learning 74
Comment on "Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper" 65
Data-driven probabilistic mapping of the spatial and molecular landscape of glioma 45
The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation 31
Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls 15
The Gap Statistic can be misleading when used to evaluate near box shaped clusters in the Euclidean space 10
An easy guide to the Davies-Bouldin index for unsupervised internal clustering evaluation 6
A modular transcriptomic signature paired with machine learning reveals core immune pathways in sepsis diagnosis 6
Totale 12.975
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Categoria #
all - tutte 44.527
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 44.527
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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
2025/20267.617 795 570 552 874 636 443 1.449 449 693 853 303 0
Totale 12.975