VALSECCHI, CECILE
 Distribuzione geografica
Continente #
NA - Nord America 216
EU - Europa 127
AS - Asia 45
SA - Sud America 4
AF - Africa 2
OC - Oceania 1
Totale 395
Nazione #
US - Stati Uniti d'America 215
IT - Italia 55
FR - Francia 22
CN - Cina 21
DE - Germania 13
IE - Irlanda 12
IN - India 6
BR - Brasile 4
CZ - Repubblica Ceca 4
VN - Vietnam 4
CH - Svizzera 3
GB - Regno Unito 3
IR - Iran 3
RU - Federazione Russa 3
AM - Armenia 2
BE - Belgio 2
NL - Olanda 2
SE - Svezia 2
TW - Taiwan 2
UA - Ucraina 2
CA - Canada 1
CD - Congo 1
HK - Hong Kong 1
HR - Croazia 1
JP - Giappone 1
KR - Corea 1
MA - Marocco 1
MY - Malesia 1
NZ - Nuova Zelanda 1
PL - Polonia 1
PT - Portogallo 1
RS - Serbia 1
SA - Arabia Saudita 1
SG - Singapore 1
TR - Turchia 1
Totale 395
Città #
Santa Cruz 40
Milan 26
Fairfield 16
Ashburn 14
Dublin 11
Redmond 8
San Diego 8
Seattle 8
Woodbridge 6
Houston 5
Rome 5
Shanghai 5
Wilmington 5
Buffalo 4
Frankfurt am Main 4
Mountain View 4
Stanford 4
Stuttgart 4
Ann Arbor 3
Cambridge 3
Changsha 3
Dong Ket 3
Nanjing 3
Andover 2
Auburn 2
Broni 2
Brooklyn 2
Cedar Knolls 2
Chiampo 2
Council Bluffs 2
Fleming Island 2
Hangzhou 2
Liège 2
Los Angeles 2
Montichiari 2
Nova Milanese 2
Nîmes 2
Paris 2
Pioltello 2
San Jose 2
Stockholm 2
Taipei 2
Varanasi 2
Yerevan 2
Augusta 1
Bedford 1
Bengaluru 1
Biel/Bienne 1
Boardman 1
Brescia 1
Cagliari 1
Carrollton 1
Casablanca 1
Caxias 1
Cirò Marina 1
Cleveland 1
Coimbatore 1
Como 1
Crugers 1
Cupertino 1
Dalian 1
Dallas 1
Dunedin 1
Farsan 1
George Town 1
Gießen 1
Gironico al Monte 1
Kayseri 1
Kolwezi 1
Medina 1
Milpitas 1
New Orleans 1
Perugia 1
Phoenix 1
Pittsburgh 1
Polska 1
Provo 1
Rancho Cordova 1
Reston 1
Saint Petersburg 1
San Mateo 1
San Pablo 1
Santa Maria 1
Segrate 1
Seoul 1
Shenyang 1
Suri 1
São Paulo 1
Toronto 1
Vila Nova De Famalicão 1
Zagreb 1
Zurich 1
Totale 282
Nome #
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study, file e39773b6-11b1-35a3-e053-3a05fe0aac26 122
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values, file e39773b6-35c6-35a3-e053-3a05fe0aac26 75
Deep Learning Applied to SEM Images for Supporting Marine Coralline Algae Classification, file e39773b8-65da-35a3-e053-3a05fe0aac26 47
Expanding Antineoplastic Drugs Surface Monitoring Profiles: Enhancing of Zwitterionic Hydrophilic Interaction Methods, file e39773b8-9269-35a3-e053-3a05fe0aac26 37
Advancing the prediction of Nuclear Receptor modulators through machine learning methods, file e39773b8-653a-35a3-e053-3a05fe0aac26 36
Classification of coralline algae using deep learning techniques on SEM images, file e39773b8-3da9-35a3-e053-3a05fe0aac26 35
Nuclear receptor modulators: Catching information by machine learning, file e39773b7-dde7-35a3-e053-3a05fe0aac26 33
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data, file 515ca061-77c7-4c88-b8b5-8c41fbf3f370 8
Structural alerts for the identification of bioaccumulative compounds, file e39773b4-e196-35a3-e053-3a05fe0aac26 4
Structural alerts for the identification of bioaccumulative compounds, file e39773b4-e194-35a3-e053-3a05fe0aac26 2
QSAR models to predict Acute Oral Systemic Toxicity, file e39773b4-e4e2-35a3-e053-3a05fe0aac26 2
Consensus Prediction of Androgen Receptor Activity within the CoMPARA Project, file e39773b5-740b-35a3-e053-3a05fe0aac26 2
Structural alerts for the identification of bioaccumulative compounds, file e39773b4-e195-35a3-e053-3a05fe0aac26 1
QSAR models to predict Acute Oral Systemic Toxicity, file e39773b4-e4e0-35a3-e053-3a05fe0aac26 1
Similarity/diversity indices on incidence matrices containing missing values, file e39773b5-98f7-35a3-e053-3a05fe0aac26 1
NURA: A curated dataset of nuclear receptor modulators, file e39773b7-1d35-35a3-e053-3a05fe0aac26 1
Totale 407
Categoria #
all - tutte 1.178
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 1.178


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/20193 0 0 0 0 0 0 0 0 0 1 0 2
2019/202011 0 0 0 0 0 0 0 0 3 0 6 2
2020/202143 0 1 1 1 1 6 3 4 1 11 5 9
2021/2022191 7 3 8 10 10 9 14 17 27 18 46 22
2022/2023132 8 3 36 23 4 11 12 3 4 10 12 6
2023/202421 5 5 11 0 0 0 0 0 0 0 0 0
Totale 407