Giuseppina C Gini
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An EMG-controlled exoskeleton for hand rehabilitation
M Mulas, M Folgheraiter, G Gini
9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005 …, 2005
VEGA-QSAR: AI Inside a Platform for Predictive Toxicology.
E Benfenati, A Manganaro, GC Gini
PAI@ AI* IA, 21-28, 2013
QSAR as a random event: Modeling of nanoparticles uptake in PaCa2 cancer cells
AA Toropov, AP Toropova, T Puzyn, E Benfenati, G Gini, D Leszczynska, ...
Chemosphere 92 (1), 31-37, 2013
Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction
T Ferrari, D Cattaneo, G Gini, NG Bakhtyari, A Manganaro, E Benfenati
SAR and QSAR in Environmental Research 24 (5), 2013
Predicting logP of pesticides using different software
E Benfenati, G Gini, N Piclin, A Roncaglioni, MR Varı
Chemosphere 53 (9), 1155-1164, 2003
Computational predictive programs (expert systems) in toxicology
E Benfenati, G Gini
Toxicology 119 (3), 213-225, 1997
CORAL: Quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats
AP Toropova, AA Toropov, E Benfenati, G Gini, D Leszczynska, ...
Journal of Computational Chemistry 32 (12), 2727-2733, 2011
Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli
AA Toropov, AP Toropova, E Benfenati, G Gini, T Puzyn, D Leszczynska, ...
Chemosphere 89 (9), 1098-1102, 2012
An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts
T Ferrari, G Gini
Chemistry Central Journal 4 (1), S2, 2010
Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy
E Benfenati, Q Chaudhry, G Gini, JL Dorne
Environment international 131, 105060, 2019
Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network
G Gini, M Lorenzini, E Benfenati, P Grasso, M Bruschi
Journal of chemical information and computer sciences 39 (6), 1076-1080, 1999
Towards automatic error recovery in robot programs
M Gini, G Gini
Methods and Tools for Computer Integrated Manufacturing, 411-416, 1984
Comparison of SMILES and molecular graphs as the representation of the molecular structure for QSAR analysis for mutagenic potential of polyaromatic amines
AA Toropov, AP Toropova, SE Martyanov, E Benfenati, G Gini, ...
Chemometrics and Intelligent Laboratory Systems 109 (1), 94-100, 2011
CORAL: Building up the model for bioconcentration factor and defining it’s applicability domain
AA Toropov, AP Toropova, A Lombardo, A Roncaglioni, E Benfenati, ...
European journal of medicinal chemistry 46 (4), 1400-1403, 2011
CORAL: QSAR modeling of toxicity of organic chemicals towards Daphnia magna
AP Toropova, AA Toropov, SE Martyanov, E Benfenati, G Gini, ...
Chemometrics and Intelligent Laboratory Systems 110 (1), 177-181, 2012
Robotic hands: design review and proposal of new design process
JWS Martell, G Gini
World Academy of Science, Engineering and Technology 26 (5), 85-90, 2007
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 Benfenati
SAR and QSAR in environmental research 25 (12), 999-1011, 2014
Description of the electronic structure of organic chemicals using semiempirical and ab initio methods for development of toxicological QSARs
TI Netzeva, AO Aptula, E Benfenati, MTD Cronin, G Gini, I Lessigiarska, ...
Journal of chemical information and modeling 45 (1), 106-114, 2005
Indoor robot navigation with single camera vision.
GC Gini, A Marchi
PRIS, 67-76, 2002
The importance of scaling in data mining for toxicity prediction
P Mazzatorta, E Benfenati, D Neagu, G Gini
Journal of chemical information and computer sciences 42 (5), 1250-1255, 2002
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