Author

Giuseppina Gini

Politecnico di Milano, DEIB - Cited by 4,712 - robotica tossicologia chimica intelligenza artificiale interfacce

Biography

Dr. Giuseppina Gini is currently working at Pathology Department. Giuseppina Gini is research interests includes Pathology in Luminescence.Giuseppina Gini serving as an editorial member and reviewer of several international reputed journals.Giuseppina Gini has successfully completed his Administrative responsibilities. Giuseppina Gini has authored of many research articles/books related to Medicine.
Title
Cited by
Year
Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy
E Benfenati, Q Chaudhry, G Gini, JL DorneEnvironment international 131, 105060, 2019201
67
2019
ToxRead: A tool to assist in read across and its use to assess mutagenicity of chemicals
G Gini, AM Franchi, A Manganaro, A Golbamaki, E BenfenatiSAR and QSAR in environmental research 25 (12), 999-1011, 2014201
58
2014
A new in silico classification model for ready biodegradability, based on molecular fragments
A Lombardo, F Pizzo, E Benfenati, A Manganaro, T Ferrari, G GiniChemosphere 108, 10-16, 2014201
41
2014
Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor
H Tan, X Wang, H Hong, E Benfenati, JP Giesy, GC Gini, R Kusko, ...Environmental Science & Technology 54 (18), 11424-11433, 2020202
35
2020
Could deep learning in neural networks improve the QSAR models?
G Gini, F Zanoli, A Gamba, G Raitano, E BenfenatiSAR and QSAR in Environmental Research (9), 617-642, 2019201
30
2019
Results of a round-robin exercise on read-across
E Benfenati, M Belli, T Borges, E Casimiro, J Cester, A Fernandez, G Gini, ...SAR and QSAR in Environmental Research (5), 371-384, 2016201
27
2016
QSAR: What Else?
G GiniComputational Toxicology, 79-105, 2018201
26
2018
A large comparison of integrated SAR/QSAR models of the Ames test for mutagenicity$
E Benfenati, A Golbamaki, G Raitano, A Roncaglioni, S Manganelli, ...SAR and QSAR in Environmental Research 29 (8), 591-611, 2018201
25
2018
New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds
A Golbamaki, E Benfenati, N Golbamaki, A Manganaro, E Merdivan, ...Journal of Environmental Science and Health, Part C 34 (2), 97-113, 2016201
23
2016
Analysis and comparison of features and algorithms to classify shoulder movements from sEMG signals
D Rivela, A Scannella, EE Pavan, CA Frigo, P Belluco, G GiniIEEE Sensors Journal 18 (9), 3714-3721, 2018201
23
2018
QSAR Methods
G GiniIn Silico Methods for Predicting Drug Toxicity, 1-20, 2016201
23
2016
Machine learning and deep learning methods in ecotoxicological QSAR modeling
G Gini, F ZanoliEcotoxicological QSARs, 111-149, 2020202
18
2020
QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction
C Hung, G GiniMolecular Diversity, 1-17, 2021202
18
2021
Integrating QSAR and read-across for environmental assessment
E Benfenati, A Roncaglioni, MI Petoumenou, CI Cappelli, G GiniSAR and QSAR in Environmental Research 26 (7-9), 605-618, 2015201
17
2015
Processing of surface EMG through pattern recognition techniques aimed at classifying shoulder joint movements
D Rivela, A Scannella, EE Pavan, CA Frigo, P Belluco, G Gini20 37th Annual International Conference of the IEEE Engineering in …, 202
15
2015
Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors
H Tan, Q Chen, H Hong, E Benfenati, GC Gini, X Zhang, H Yu, W ShiEnvironmental science & technology, 2021202
14
2021
A New QSAR Model for Acute Fish Toxicity based on Mined Structural Alerts
EB G. Gini, T. Ferrari, A. Lombardo, A. CassanoJ Toxicol Risk Assess 5 (16), 2019201
12
2019
A working memory model improves cognitive control in agents and robots
M Persiani, AM Franchi, G GiniCognitive Systems Research 51, 1-13, 2018201
12
2018
From learning to new goal generation in a bioinspired robotic setup
AM Franchi, F Mutti, G GiniAdvanced Robotics 30 (-12), 795-805, 2016201
11
2016
CORAL: QSPRs of enthalpies of formation of organometallic compounds
AP Toropova, AA Toropov, E Benfenati, G Gini, D Leszczynska, ...Journal of Mathematical Chemistry 51 (7), 164-1693, 2013201
8
2013

Referred From: https://scholar.google.com/citations?user=5CuVpggAAAAJ&hl=it

Cited by
Citations 4712
h-index 35
i10-index 108
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