TODESCHINI, ROBERTO
 Distribuzione geografica
Continente #
NA - Nord America 1.047
EU - Europa 614
AS - Asia 224
SA - Sud America 29
AF - Africa 19
OC - Oceania 5
Continente sconosciuto - Info sul continente non disponibili 1
Totale 1.939
Nazione #
US - Stati Uniti d'America 1.026
DE - Germania 182
IT - Italia 157
FR - Francia 77
CN - Cina 71
IR - Iran 61
RU - Federazione Russa 55
GB - Regno Unito 30
IN - India 19
CZ - Repubblica Ceca 18
CA - Canada 16
IE - Irlanda 16
UA - Ucraina 16
VN - Vietnam 14
CH - Svizzera 12
ZA - Sudafrica 9
AE - Emirati Arabi Uniti 8
AR - Argentina 8
KR - Corea 8
SE - Svezia 8
BR - Brasile 7
TR - Turchia 7
GE - Georgia 6
PL - Polonia 6
TW - Taiwan 6
AT - Austria 5
EC - Ecuador 5
ID - Indonesia 5
BG - Bulgaria 4
CL - Cile 4
ES - Italia 4
FI - Finlandia 4
MX - Messico 4
NL - Olanda 4
AU - Australia 3
CO - Colombia 3
DZ - Algeria 3
JP - Giappone 3
MY - Malesia 3
RO - Romania 3
BD - Bangladesh 2
DK - Danimarca 2
ET - Etiopia 2
HK - Hong Kong 2
HU - Ungheria 2
IL - Israele 2
IQ - Iraq 2
NZ - Nuova Zelanda 2
PH - Filippine 2
PT - Portogallo 2
AM - Armenia 1
BE - Belgio 1
BZ - Belize 1
EE - Estonia 1
EG - Egitto 1
EU - Europa 1
GH - Ghana 1
HR - Croazia 1
LV - Lettonia 1
MA - Marocco 1
MO - Macao, regione amministrativa speciale della Cina 1
MT - Malta 1
PE - Perù 1
RS - Serbia 1
SA - Arabia Saudita 1
SK - Slovacchia (Repubblica Slovacca) 1
UG - Uganda 1
VE - Venezuela 1
ZM - Zambia 1
Totale 1.939
Città #
Ashburn 166
Fairfield 97
Milan 80
Woodbridge 59
Santa Cruz 56
Buffalo 55
Houston 51
Seattle 47
Rasht 44
Wilmington 40
Mountain View 34
Ann Arbor 33
University Park 32
Cambridge 29
Nürnberg 21
Beijing 18
Wuhan 16
Simi Valley 15
Chicago 14
San Diego 12
Frankfurt am Main 11
Los Angeles 11
Boardman 10
Dong Ket 10
Dublin 10
Las Vegas 9
Phoenix 9
Fleming Island 8
Muizenberg 8
Shanghai 8
Zurich 8
Paris 7
Bengaluru 6
New York 6
Shenzhen 6
Taipei 6
Council Bluffs 5
Duncan 5
Nanjing 5
Ottawa 5
Saint Petersburg 5
Toronto 5
Zahedan 5
Buenos Aires 4
Clarks Summit 4
Dallas 4
Nizhniy Novgorod 4
Rome 4
St Petersburg 4
Stuttgart 4
Ancona 3
Brooklyn 3
Changsha 3
Des Moines 3
Easton 3
Hangzhou 3
Helsinki 3
Lake Forest 3
London 3
Mcallen 3
Medan 3
Mossoro 3
Norwalk 3
Pisa 3
Quito 3
Riva 3
San Mateo 3
Aachen 2
Addis Ababa 2
Atlanta 2
Auburn 2
Baghdad 2
Bagnaria Arsa 2
Bergamo 2
Berlin 2
Bologna 2
Calgary 2
Cali 2
Como 2
Fremont 2
Gatchina 2
Genova 2
Gurgaon 2
Henderson 2
Jacksonville 2
Juan-les-pins 2
Kaluga 2
Lachine 2
Leawood 2
Modena 2
Montichiari 2
New Delhi 2
Nova Milanese 2
Padova 2
Pioltello 2
Provo 2
San Francisco 2
Santa Clara 2
Sofia 2
Stockholm 2
Totale 1.232
Nome #
How to weight Hasse matrices and reduce incomparabilities, file e39773b2-f702-35a3-e053-3a05fe0aac26 386
In Silico prediction of cytochrome P450-drug interaction: QSARs for CYP3a4 and CYP2C9, file e39773b3-377f-35a3-e053-3a05fe0aac26 238
Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems, file e39773b3-5151-35a3-e053-3a05fe0aac26 217
Scaffold hopping from natural products to synthetic mimetics by holistic molecular similarity, file e39773b4-f199-35a3-e053-3a05fe0aac26 214
Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions, file e39773b1-d238-35a3-e053-3a05fe0aac26 184
Comparison of Different Approaches to Define the Applicability Domain of QSAR Models, file e39773b1-bd45-35a3-e053-3a05fe0aac26 149
Autobiography of Roberto Todeschini, file e39773b3-adc3-35a3-e053-3a05fe0aac26 130
Application of the weighted Power-Weakness Ratio (wPWR) as a fusion rule in Ligand-Based virtual screening, file e39773b3-348a-35a3-e053-3a05fe0aac26 84
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values, file e39773b6-35c6-35a3-e053-3a05fe0aac26 84
A QSTR-based expert system to predict sweetness of molecules, file e39773b7-9308-35a3-e053-3a05fe0aac26 79
Chemometrics and QSAR: fundamentals and perspectives, file e39773b2-2fdf-35a3-e053-3a05fe0aac26 69
A New Similarity/Diversity Measure for the Characterization of DNA Sequences, file e39773b1-31fe-35a3-e053-3a05fe0aac26 38
Nuclear receptor modulators: Catching information by machine learning, file e39773b7-dde7-35a3-e053-3a05fe0aac26 38
Identification of Photodegradation Products of Escitalopram in Surface Water by HPLC-MS/MS and Preliminary Characterization of Their Potential Impact on the Environment, file 808d9c6b-b585-4e79-ae9a-7704619ed2b6 22
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data, file 515ca061-77c7-4c88-b8b5-8c41fbf3f370 17
Kernel-based mapping of reliability in predictions for consensus modelling, file b8aaa772-c8ac-40a7-a9e2-9bed42ebdb66 4
Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review, file 3a182869-86da-4e6c-8e12-793f56f38e8c 2
Effectiveness of molecular fingerprints for exploring the chemical space of natural products, file 4d8418b4-8cc7-4373-a806-fb6861e6e909 2
N3 and BNN: two new similarity based classification methods in comparison with other classifiers, file e39773b2-c595-35a3-e053-3a05fe0aac26 2
Recent advances in consensus modelling of multiple analytical chemical data, file e39773b2-c9a2-35a3-e053-3a05fe0aac26 2
Beware of Unreliable Q2! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR Models, file e39773b3-5171-35a3-e053-3a05fe0aac26 2
Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems. In Abstract book of the 21st EuroQSAR, file e39773b3-58b2-35a3-e053-3a05fe0aac26 2
Detecting activity-rich structural regions by a new chemoinformatic approach: Mapping of Activity through Dichotomic Scores (MADS), file e39773b4-e4d6-35a3-e053-3a05fe0aac26 2
Detecting activity-rich structural regions by a new chemoinformatic approach: Mapping of Activity through Dichotomic Scores (MADS), file e39773b4-e4d7-35a3-e053-3a05fe0aac26 2
QSAR models to predict Acute Oral Systemic Toxicity, file e39773b4-e4e2-35a3-e053-3a05fe0aac26 2
Multivariate classification of Chianti red wines based on massive sampling and ICP-MS element composition, file e39773b4-fe19-35a3-e053-3a05fe0aac26 2
Consensus Prediction of Androgen Receptor Activity within the CoMPARA Project, file e39773b5-740b-35a3-e053-3a05fe0aac26 2
Recent Advances in High-Level Fusion Methods to Classify Multiple Analytical Chemical Data, file e39773b5-b730-35a3-e053-3a05fe0aac26 2
A new concept of higher-order similarity and the role of distance/similarity measures in local classification methods, file e39773b8-4d17-35a3-e053-3a05fe0aac26 2
A novel unsupervised method for reducing the dimensionality of large QSAR datasets., file e39773b2-3d7d-35a3-e053-3a05fe0aac26 1
Comparison of approaches to define Applicability Domain for the application of QSAR models, file e39773b2-4351-35a3-e053-3a05fe0aac26 1
Environmental chemoinformatics for REACH, file e39773b2-4356-35a3-e053-3a05fe0aac26 1
Local models for the prediction of acute toxicity to Daphnia magna, file e39773b2-5d0a-35a3-e053-3a05fe0aac26 1
Recent advancements to define the applicability domain of qsar models, file e39773b2-63d7-35a3-e053-3a05fe0aac26 1
Reshaped sequential replacement algorithm (RSR) for variable selection, file e39773b2-63f1-35a3-e053-3a05fe0aac26 1
K-contractive map (k-cm) for classification, file e39773b2-65b0-35a3-e053-3a05fe0aac26 1
Recent advances in consensus modelling of multiple analytical chemical data, file e39773b2-b3a1-35a3-e053-3a05fe0aac26 1
N3 and BNN: two new similarity based classification methods in comparison with other classifiers, file e39773b2-b5c4-35a3-e053-3a05fe0aac26 1
QSAR Modeling: Where Have You Been? Where Are You Going To?, file e39773b2-fb4e-35a3-e053-3a05fe0aac26 1
Quantitative structure–activity relationships to predict sweet and non-sweet tastes, file e39773b3-19aa-35a3-e053-3a05fe0aac26 1
Integration of QSAR ready biodegradability predictions by means of qualitative consensus, file e39773b3-5a85-35a3-e053-3a05fe0aac26 1
Exploiting the potential of molecular descriptors through data-fusion strategies: A case study on Cytochrome P450, file e39773b3-5a88-35a3-e053-3a05fe0aac26 1
Data integration to increase quality and reliability of QSAR predictions., file e39773b3-cd23-35a3-e053-3a05fe0aac26 1
Regulatory assessment of aquatic bioaccumulation: a contribution from QSAR and chemometrics., file e39773b4-2258-35a3-e053-3a05fe0aac26 1
QSAR models to predict properties of dyes for regulatory use, file e39773b4-e127-35a3-e053-3a05fe0aac26 1
QSAR models to predict properties of dyes for regulatory use, file e39773b4-e128-35a3-e053-3a05fe0aac26 1
QSAR models to predict Acute Oral Systemic Toxicity, file e39773b4-e4e0-35a3-e053-3a05fe0aac26 1
QSAR models to predict properties of dyes for regulatory use, file e39773b4-ea32-35a3-e053-3a05fe0aac26 1
Detecting activity-rich structural regions by a new chemoinformatic approach: Mapping of Activity through Dichotomic Scores (MADS), file e39773b4-ea34-35a3-e053-3a05fe0aac26 1
Similarity/diversity indices on incidence matrices containing missing values, file e39773b5-98f7-35a3-e053-3a05fe0aac26 1
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A wizard for ranking and multi-criteria decision making, file e39773b5-d6b7-35a3-e053-3a05fe0aac26 1
A similarity-based QSAR model for predicting acute toxicity towards the fathead minnow (Pimephales promelas), file e39773b8-4d2a-35a3-e053-3a05fe0aac26 1
Multivariate comparison of classification performance measures, file e39773b8-534b-35a3-e053-3a05fe0aac26 1
Beware of Unreliable Q2! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR Models, file e39773b8-534c-35a3-e053-3a05fe0aac26 1
Totale 2.004
Categoria #
all - tutte 3.992
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 3.992


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/2019150 0 0 0 0 0 0 0 0 15 36 45 54
2019/2020273 28 14 24 24 21 26 20 15 22 41 18 20
2020/2021330 17 29 40 30 31 22 15 29 22 42 30 23
2021/2022320 26 20 26 31 35 17 20 19 14 23 65 24
2022/2023247 11 17 62 30 7 22 19 8 32 9 24 6
2023/2024299 10 9 11 17 28 35 66 88 35 0 0 0
Totale 2.004