Jurman, Giuseppe
 Distribuzione geografica
Continente #
NA - Nord America 4.770
EU - Europa 4.662
AS - Asia 2.046
SA - Sud America 490
AF - Africa 58
OC - Oceania 32
Continente sconosciuto - Info sul continente non disponibili 20
Totale 12.078
Nazione #
US - Stati Uniti d'America 4.652
RU - Federazione Russa 1.433
IT - Italia 710
DE - Germania 667
SG - Singapore 601
CN - Cina 509
BR - Brasile 443
HK - Hong Kong 394
SE - Svezia 314
FI - Finlandia 311
UA - Ucraina 310
GB - Regno Unito 190
NL - Olanda 174
IE - Irlanda 159
IN - India 122
VN - Vietnam 113
FR - Francia 104
CA - Canada 97
BE - Belgio 86
JP - Giappone 41
ES - Italia 38
TR - Turchia 35
KR - Corea 32
BD - Bangladesh 30
AU - Australia 28
CZ - Repubblica Ceca 28
IR - Iran 25
CH - Svizzera 24
MY - Malesia 22
EU - Europa 19
LT - Lituania 19
TW - Taiwan 19
IL - Israele 18
PT - Portogallo 15
ZA - Sudafrica 15
EG - Egitto 14
ID - Indonesia 14
MX - Messico 14
AT - Austria 13
PL - Polonia 13
SI - Slovenia 13
AR - Argentina 12
GR - Grecia 12
PK - Pakistan 11
IQ - Iraq 10
MA - Marocco 10
EC - Ecuador 8
CO - Colombia 7
NO - Norvegia 7
VE - Venezuela 7
PS - Palestinian Territory 6
SA - Arabia Saudita 6
AE - Emirati Arabi Uniti 5
CL - Cile 5
DK - Danimarca 4
HU - Ungheria 4
KE - Kenya 4
KG - Kirghizistan 4
NZ - Nuova Zelanda 4
TN - Tunisia 4
AZ - Azerbaigian 3
BG - Bulgaria 3
JO - Giordania 3
LK - Sri Lanka 3
OM - Oman 3
PY - Paraguay 3
SK - Slovacchia (Repubblica Slovacca) 3
TH - Thailandia 3
UZ - Uzbekistan 3
AM - Armenia 2
BO - Bolivia 2
ET - Etiopia 2
HN - Honduras 2
LV - Lettonia 2
PE - Perù 2
PH - Filippine 2
RO - Romania 2
SC - Seychelles 2
SN - Senegal 2
TT - Trinidad e Tobago 2
A1 - Anonimo 1
AL - Albania 1
BS - Bahamas 1
DZ - Algeria 1
EE - Estonia 1
GE - Georgia 1
GH - Ghana 1
JM - Giamaica 1
KH - Cambogia 1
KZ - Kazakistan 1
LB - Libano 1
LU - Lussemburgo 1
MO - Macao, regione amministrativa speciale della Cina 1
NG - Nigeria 1
NP - Nepal 1
PA - Panama 1
QA - Qatar 1
RS - Serbia 1
TZ - Tanzania 1
UG - Uganda 1
Totale 12.077
Città #
Chandler 869
Jacksonville 633
Singapore 396
Moscow 368
Hong Kong 347
Ashburn 255
Ann Arbor 243
Boardman 240
The Dalles 207
Helsinki 193
Wilmington 164
Dublin 156
Hefei 141
Trento 137
Kronberg 118
Dong Ket 105
Brussels 85
Munich 85
Dearborn 82
Brooklyn 79
Shanghai 69
Beijing 65
Woodbridge 60
Redwood City 55
Santa Clara 50
Los Angeles 45
Turku 45
Fremont 43
New York 40
São Paulo 38
Guangzhou 37
Toronto 36
Strasbourg 35
Pune 31
Amsterdam 30
Houston 29
Tokyo 29
Seattle 27
Falkenstein 26
Bolzano 25
Cheyenne 25
Verona 25
Rome 24
London 23
Phoenix 23
Secaucus 23
Central 22
Olomouc 22
Ottawa 22
Hanover 21
Milan 21
Assago 20
Miami 20
São Luís 19
Council Bluffs 18
Falls Church 18
Berlin 16
Nanjing 16
Portland 15
San Mateo 15
Taipei 15
Norwalk 14
Belo Horizonte 13
Redmond 13
Augusta 12
Florence 12
Montreal 12
Atlanta 11
Ljubljana 11
Frankfurt am Main 10
Genoa 10
Melbourne 10
Nuremberg 10
Porto Alegre 10
Rio de Janeiro 10
San Jose 10
Shenzhen 10
Sydney 10
Zhengzhou 10
Bologna 9
Brescia 9
Cambridge 9
Chennai 9
Cologne 9
Mountain View 9
Paese 9
Thessaloniki 9
Tianjin 9
Barcelona 8
Bristol 8
Curitiba 8
Fairfield 8
Nocera Inferiore 8
Turin 8
Vigolo Vattaro 8
Dhaka 7
Faenza 7
Gunzenhausen 7
Isera 7
Lonigo 7
Totale 6.511
Nome #
The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. 424
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation 353
omicsCNN: a general deep learning framework for omics data modeling and classification 303
Deep Learning for rain and lightning nowcasting 210
CovMulNet19, Integrating Proteins, Diseases, Drugs, and Symptoms: A Network Medicine Approach to COVID-19 193
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation 183
TAASRAD19 Radar Scans 2017-2019 183
Predictability of drug-induced liver injury by machine learning 167
TAASRAD19 Radar Sequences 2010-2019 141
Talents and technology: training the artificial intelligence generation 132
TAASRAD19 Radar Scans 2010-2016 132
A grid environment for high-throughput proteomics. 127
Supervised classification of combined copy number and gene expression data. 122
A Machine Learning Pipeline for Discriminant Pathways Identification 120
Algebraic stability indicators for ranked lists in molecular profiling 119
Multi-omics integration for neuroblastoma clinical endpoint prediction 118
Canberra Distance on Ranked Lists 117
Multilayer flows in molecular networks identify biological modules in the human proteome 117
Integrating deep and radiomics features in cancer bioimaging 117
Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation 115
Cellular and gene signatures of tumor-infiltrating dendritic cells and natural killer cells predict favorable clinical outcome of neuroblastoma 115
A machine learning pipeline for quantitative phenotype prediction from genotype data 112
A promoter-level mammalian expression atlas 112
Evaluating reproducibility of AI algorithms in digital pathology with DAPPER 112
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting 112
TAASRAD19 Radar Sequences 2010-2019 NetCDF 112
AI Slipping on Tiles: Data Leakage in Digital Pathology 110
Phylogenetic convolutional neural networks in metagenomics 110
Tumor-infiltrating T cells and PD-L1 expression in childhood malignant extracranial germ-cell tumors 109
Semisupervised Profiling of Gene Expressions and Clinical Data. 108
A Machine Learning Pipeline for Discriminant Pathways Identification 108
A machine learning pipeline for discriminant pathways identification 107
Machine learning models for predicting endocrine disruption potential of environmental chemicals 107
An accelerated procedure for recursive feature ranking on microarray data 106
Large expert-curated database for benchmarking document similarity detection in biomedical literature search 106
Proteome profiling without selection bias 105
The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance 105
Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma 105
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events 104
Machine Learning Applications in the Study of Parkinson’s Disease: A Systematic Review 104
Stability Indicators in Network Reconstruction 103
A family of simple Lie algebras in characteristic two 102
Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone 102
Stability in GRN inference 101
Gene selection and classification with support vector machines applied to microarray data 99
A comparison of MCC and CEN error measures in multi-class prediction 99
GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs 98
Exact Bagging with k-Nearest Neighbour Classifiers 96
An introduction to spectral distances in networks 96
A Combinatorial Model of Malware Diffusion via Bluetooth Connections 93
A null model for pearson coexpression networks 92
TAASRAD19 Radar Sequences 2010-2019 HDF5 91
Entropy-based gene ranking without selection bias for the predictive classification of microarray data 91
Machine learning methods for predictive proteomics 91
DTW-MIC Coexpression Networks from Time-Course Data 91
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives 91
Giovani e ricerca: il progetto WebValley 90
The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen's Kappa and Brier Score in Binary Classification Assessment 90
Algebraic Comparison of Partial Lists in Bioinformatics 89
The benefits of the Matthews correlation coefficient ({MCC}) over the diagnostic odds ratio ({DOR}) in binary classification assessment 89
Integrating gene expression profiling and clinical data 88
An accelerated procedure for recursive feature ranking on microarray data 87
Semisupervised Learning for Molecular Profiling 86
Entropy-based gene ranking without selection bias for the predictive classification of microarray data 85
A verified genomic reference sample for assessing performance of cancer panels detecting small variants of low allele frequency 85
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks 84
Classificazione predittiva per il profiling proteomico. 84
PD-L1 is a therapeutic target of the Bromodomain inhibitor JQ1 and, combined with HLA class I, a promising prognostic biomarker in neuroblastoma 84
Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease 84
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network 84
Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes 83
Modeling influenza pandemic in Italy: an individual based approach 83
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study 81
Modeling influenza pandemic in Italy: an individual based approach 80
The HIM glocal metric and kernel for network comparison and classification 80
minepy and minerva: a C engine for the MINE suite and its Python, R and MATLAB wrappers 79
Stereotypical Motor Movement Detection in Dynamic Feature Space 78
Fast randomization of large genomics datasets while preserving alteration counts 78
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders 78
Gene selection and classification by entropy-based recursive feature elimination 77
Effect of size and heterogeneity of samples on biomarker discovery: synthetic and real data assessment 76
Integrative Network Fusion: a multi-omics approach in molecular profiling 76
Graded Lie algebras of maximal class, III. 75
Combining feature selection and DTW for time-varying functional genomics 75
Machine learning on historic air photographs for mapping risk of unexploded bombs 75
Repeatability of published microarray gene expression analyses. 74
Modelling scenarios of diffusion and control of pandemic influenza, Italy 73
Control of selection bias in microarray data analysis 73
Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review 73
Efficient randomization of biological networks while preserving functional characterization of individual nodes 73
Differential network analysis and graph classification: a glocal approach 71
Combining feature selection and DTW for time-varying functional genomics 70
Semi-supervised learning for molecular profiling 70
Cyst segmentation on kidney tubules by means of U-Net deep-learning models 70
Application of Artificial Intelligence in Targeting Retinal Diseases 69
Methods for predictive classification and molecular profiling from DNA microarray data 66
Gene selection and classification by entropy-based recursive feature elimination 66
Regularized Slope Function Networks for Microarray Data Analysis 66
The structure of thin Lie algebras with characteristic two 66
Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ErbB receptors in breast cancer cells 66
Totale 10.627
Categoria #
all - tutte 67.797
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 67.797


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202090 0 0 0 0 0 0 0 0 0 0 0 90
2020/20211.544 246 16 131 111 182 92 160 28 60 266 71 181
2021/20221.039 71 66 53 181 47 25 49 118 69 47 118 195
2022/20232.388 102 189 65 406 128 377 73 145 458 174 180 91
2023/20241.466 116 66 135 73 83 152 59 189 40 267 26 260
2024/20254.193 40 102 368 170 93 122 161 285 1.523 531 688 110
Totale 12.463