FRASCA, MARCO
 Distribuzione geografica
Continente #
NA - Nord America 4.930
EU - Europa 4.272
AS - Asia 3.927
SA - Sud America 376
AF - Africa 66
OC - Oceania 27
Continente sconosciuto - Info sul continente non disponibili 4
Totale 13.602
Nazione #
US - Stati Uniti d'America 4.787
GB - Regno Unito 1.427
CN - Cina 1.218
SG - Singapore 1.109
IT - Italia 1.002
SE - Svezia 413
DE - Germania 344
HK - Hong Kong 339
BR - Brasile 295
VN - Vietnam 294
RU - Federazione Russa 262
IN - India 252
BD - Bangladesh 227
FR - Francia 193
NL - Olanda 119
TR - Turchia 112
CA - Canada 100
FI - Finlandia 98
IE - Irlanda 93
KR - Corea 93
DK - Danimarca 79
ID - Indonesia 72
JP - Giappone 47
CH - Svizzera 37
UA - Ucraina 32
AR - Argentina 30
ES - Italia 29
BE - Belgio 25
CI - Costa d'Avorio 24
AU - Australia 23
MX - Messico 22
IQ - Iraq 20
PH - Filippine 19
PK - Pakistan 19
AT - Austria 17
PL - Polonia 17
EE - Estonia 13
CO - Colombia 12
EC - Ecuador 12
EU - Europa 12
IR - Iran 12
GR - Grecia 11
MY - Malesia 11
AE - Emirati Arabi Uniti 10
NO - Norvegia 10
TH - Thailandia 10
BG - Bulgaria 9
CZ - Repubblica Ceca 9
HU - Ungheria 9
SC - Seychelles 8
CL - Cile 7
KE - Kenya 7
NP - Nepal 7
SA - Arabia Saudita 7
TW - Taiwan 7
ZA - Sudafrica 7
IL - Israele 6
JO - Giordania 6
MA - Marocco 6
VE - Venezuela 6
BO - Bolivia 5
UZ - Uzbekistan 5
AZ - Azerbaigian 4
LT - Lituania 4
NZ - Nuova Zelanda 4
OM - Oman 4
SI - Slovenia 4
JM - Giamaica 3
KZ - Kazakistan 3
LB - Libano 3
LU - Lussemburgo 3
PT - Portogallo 3
PY - Paraguay 3
TN - Tunisia 3
TT - Trinidad e Tobago 3
BY - Bielorussia 2
BZ - Belize 2
CR - Costa Rica 2
DZ - Algeria 2
EG - Egitto 2
KG - Kirghizistan 2
NG - Nigeria 2
NI - Nicaragua 2
PE - Perù 2
RO - Romania 2
UY - Uruguay 2
AD - Andorra 1
AL - Albania 1
AO - Angola 1
BW - Botswana 1
CM - Camerun 1
DO - Repubblica Dominicana 1
GD - Grenada 1
GT - Guatemala 1
GY - Guiana 1
HN - Honduras 1
HR - Croazia 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LC - Santa Lucia 1
Totale 13.593
Città #
Southend 1.296
Singapore 642
Ashburn 561
Milan 431
Chandler 310
Hong Kong 301
Fairfield 293
San Jose 281
Dallas 242
Wilmington 223
Seattle 209
Beijing 191
Ann Arbor 174
New York 167
Council Bluffs 165
Houston 149
Los Angeles 146
Woodbridge 143
Frankfurt am Main 115
Santa Clara 115
Princeton 109
Cambridge 104
Dublin 90
Ho Chi Minh City 84
Bengaluru 80
Dearborn 80
Hefei 67
Guangzhou 62
Boardman 61
Istanbul 59
Hanoi 58
Jakarta 57
Lauterbourg 57
Toronto 52
Seoul 51
Shanghai 50
Nanjing 48
Buffalo 44
Redwood City 44
Moscow 43
Helsinki 42
Des Moines 37
Munich 36
Berlin 33
Mountain View 32
Rome 32
The Dalles 32
Hangzhou 31
Phoenix 31
Tokyo 31
São Paulo 29
Medford 27
Nuremberg 27
Dong Ket 26
Abidjan 24
Cangzhou 24
Kent 24
Columbus 23
Falls Church 22
San Diego 22
Tianjin 22
Chennai 21
Fuzhou 21
Jinan 21
London 21
Shenyang 20
Turku 20
Brussels 19
Changsha 19
Montreal 18
Philadelphia 18
Redmond 18
Chicago 17
Atlanta 15
Legnano 15
Shenzhen 15
Turin 15
Warsaw 15
Nanchang 14
Da Nang 13
Tartu 13
Hebei 12
Jiaxing 12
Zurich 12
Central District 11
Düsseldorf 11
Sydney 11
Athens 10
Florence 10
Manila 10
Mumbai 10
Ottawa 10
Quanzhou 10
Rio de Janeiro 10
Silver Spring 10
Vienna 10
Wuhan 10
Amsterdam 9
Fremont 9
Genoa 9
Totale 8.605
Nome #
Artificial Intelligence in Predicting Clinical Outcome in COVID-19 Patients from Clinical, Biochemical and a Qualitative Chest X-Ray Scoring System 414
RANKS : a flexible tool for node label ranking and classification in biological networks 412
A neural network algorithm for semi-supervised node label learning from unbalanced data 406
UNIPred-Web : a web tool for the integration and visualization of biomolecular networks for protein function prediction 395
A Graphical Tool for the Exploration and Visual Analysis of Biomolecular Networks 388
A GPU-based algorithm for fast node label learning in large and unbalanced biomolecular networks 379
Explainable machine learning for early assessment of COVID-19 risk prediction in emergency departments 365
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens 358
Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction 333
COSNet : a cost sensitive neural network for semi-supervised learning in graphs 303
parSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants 300
Modeling biomolecular profiles in a graph-structured sample space for clinical outcome prediction with melanoma and ovarian cancer patients 292
Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools 290
GRAPH-BASED APPROACHES FOR IMBALANCED DATA IN FUNCTIONAL GENOMICS 289
A cost-sensitive neural algorithm to predict gene functions using large biological networks 281
Evaluating the impact of topological protein features on the negative examples selection 279
Committee-Based Active Learning to Select Negative Examples for Predicting Protein Functions 274
An unbalance-aware network integration method for gene function prediction 267
Gene2DisCo : gene to disease using disease commonalities 256
Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process 253
Multitask Protein Function Prediction Through Task Dissimilarity 245
Learning node labels with multi-category Hopfield networks 243
COSNet: An R package for label prediction in unbalanced biological networks 234
Regularized network-based algorithm for predicting gene functions with high-imbalanced data 230
UNIPred : Unbalance-aware network integration and prediction of protein functions 230
Analysis of bio-molecular networks through semi-supervised graph-based learning methods 224
Automated gene function prediction through gene multifunctionality in biological networks 223
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections 222
A Neural Procedure for Gene Function Prediction 217
Multitask Hopfield Networks 210
Analysis of Informative Features for Negative Selection in Protein Function Prediction 209
Ensembling Descendant Term Classifiers to Improve Gene : Abnormal Phenotype Predictions 208
HEMDAG: a family of modular and scalable hierarchical ensemble methods to improve Gene Ontology term prediction 206
An efficient supervised method to integrate multiple biological networks 204
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web 198
A Hierarchical Ensemble Method for DAG-Structured Taxonomies 188
Learning functional linkage networks with a cost-sensitive approach 187
Protein function prediction as a graph-transduction game 182
A mathematical model for the validation of gene selection methods 181
Deep neural networks compression: A comparative survey and choice recommendations 177
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples 176
Gene-disease prioritization through cost-sensitive graph-based methodologies 169
Multi-species protein function prediction: towards Web-based visual analytics 164
Efficient and Compact Representations of Deep Neural Networks via Entropy Coding 160
Identification of key miRNAs in prostate cancer progression based on miRNA-mRNA network construction 158
Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach 157
The role of classifiers and data complexity in learned Bloom filters: insights and recommendations 153
Identification of Breast Cancer Subtype-Specific Biomarkers by Integrating Copy Number Alterations and Gene Expression Profiles 149
A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials 148
Patients’ networks for clinical phenotype/outcome prediction 146
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters 145
A neural network based algorithm for gene expression prediction from chromatin structure 143
Reproducing the Sparse Huffman Address Map Compression for Deep Neural Networks 140
Selection of negative examples for node label prediction through fuzzy clustering techniques 139
Exploiting Negative Sample Selection for Prioritizing Candidate Disease Genes 139
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer 135
A Web Graphical Tool for the Integration of Unbalanced Biomolecular Networks 126
Speeding up node label learning in unbalanced biomolecular networks through a parallel and sparse GPU­based Hopfield model 123
Selection of negatives in Hopfield networks 121
Compression strategies and space-conscious representations for deep neural networks 113
GOssTo & GOssToWeb: user-friendly tools for calculating semantic similarities on the Gene Ontology 111
GOssTo : a stand-alone application and a web tool for calculating semantic similarities on the Gene Ontology 108
On Nonlinear Learned String Indexing 107
Transcriptional Profiling of Hippocampus Identifies Network Alterations in Alzheimer’s Disease 97
Multi-Task Label Propagation with Dissimilarity Measures 89
Totale 14.168
Categoria #
all - tutte 38.694
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 38.694


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021145 0 0 0 0 0 0 0 0 0 0 0 145
2021/20221.175 88 103 56 98 138 74 64 63 112 142 69 168
2022/20231.055 146 106 75 124 98 184 31 96 83 17 66 29
2023/2024797 24 46 49 24 137 130 42 75 31 52 85 102
2024/20252.121 93 212 75 167 129 103 47 303 109 207 181 495
2025/20264.441 455 261 488 369 412 243 663 249 336 355 516 94
Totale 14.168