G. Gini

Giuseppina Gini, Thomas Ferrari, Antonino Trovato, 2009, NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society.

Toward efficient path-planning for articulated robots

G. Gini, R. Massa, R. Negretti, 1995, J. Field Robotics.

A bioinspired intentional architecture for situated agents to explore human cognitive abilities

Flavio Mutti, Alessio Mauro Franchi, Giuseppina Gini, 2014 .

Visuomotor Mapping Based on Hering's Law for a Redundant Active Stereo Head and a 3 DOF Arm

Giuseppina Gini, Flavio Mutti, G. Gini, 2012, BIONETICS.

A model of a middle level of cognition based on the interaction among the thalamus, amygdala, and the cortex

Soo-Young Lee, Riccardo Manzotti, Giuseppina Gini, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Structures of Endocrine-Disrupting Chemicals Correlate with the Activation of 12 Classic Nuclear Receptors.

H. Hong, G. Gini, E. Benfenati, 2021, Environmental science & technology.

ToxDelta: A New Program to Assess How Dissimilarity Affects the Effect of Chemical Substances

Emilio Benfenati, Giuseppina Gini, Alberto Manganaro, 2017 .

Structures of endocrine-disrupting chemicals determine binding to and activation of the oestrogen receptor α (ERα) and androgen receptor (AR).

H. Hong, G. Gini, E. Benfenati, 2020, Environmental science & technology.

Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds

Giuseppina C. Gini, Emilio Benfenati, Daniel Neagu, 2002, ECAI.

A neuromorphic control architecture for a biped robot

Michele Folgheraiter, Giuseppina Gini, Alessio Mauro Franchi, 2019, Robotics Auton. Syst..

A Multi-Modal Haptic Interface for Virtual Reality and Robotics

Giuseppina C. Gini, Michele Folgheraiter, Dario L. Vercesi, 2008, J. Intell. Robotic Syst..

A new haptic device for applications in virtual reality and humanoid robotics

Giuseppina C. Gini, Michele Folgheraiter, Dario L. Vercesi, 2006, Integr. Comput. Aided Eng..

Calculation of molecular features with apparent impact on both activity of mutagens and activity of anticancer agents.

Jerzy Leszczynski, Emilio Benfenati, Giuseppina Gini, 2012, Anti-cancer agents in medicinal chemistry.

Support vector machines in the prediction of mutagenicity of chemical compounds

Emilio Benfenati, Giuseppina Gini, Thomas Ferrari, 2009, NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society.

Database mining with adaptive fuzzy partition: Application to the prediction of pesticide toxicity on rats

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2003, Environmental toxicology and chemistry.

New clues on carcinogenicity-related substructures derived from mining two large datasets of chemical compounds

Emilio Benfenati, Giuseppina Gini, Alberto Manganaro, 2016, Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews.

VEGA-QSAR: AI Inside a Platform for Predictive Toxicology

Giuseppina C. Gini, Emilio Benfenati, Alberto Manganaro, 2013, PAI@AI*IA.

From goals to manipulator programs

Maria Gini, Maria L. Gini, Giuseppina Gini, 1986 .

Dealing with world-model-based programs

Giuseppina C. Gini, Maria L. Gini, G. Gini, 1985, TOPL.

Recovering from Failures: A New Challenge for Industrial Robotics

Maria Gini, Maria L. Gini, Giuseppina Gini, 1984 .

QSAR modeling without descriptors using graph convolutional neural networks: the case of mutagenicity prediction

G. Gini, Chiakang Hung, 2021, Molecular Diversity.

E-Modelling: Foundations and Cases for Applying AI to Life Sciences

Giuseppina C. Gini, Emilio Benfenati, G. Gini, 2007, Int. J. Artif. Intell. Tools.

From learning to new goal generation in a bioinspired robotic setup

Giuseppina Gini, Flavio Mutti, Alessio Mauro Franchi, 2016, Adv. Robotics.

Bio-inspired Classification in the Architecture of Situated Agents

Riccardo Manzotti, Giuseppina Gini, Flavio Mutti, 2014, IAS.

Cognitive Integration through Goal-Generation in a Robotic Setup

Soo-Young Lee, Riccardo Manzotti, Giuseppina Gini, 2012, BICA.

Novel application of the CORAL software to model cytotoxicity of metal oxide nanoparticles to bacteria Escherichia coli.

Jerzy Leszczynski, Emilio Benfenati, Giuseppina Gini, 2012, Chemosphere.

Creating causal representations from ontologies and Bayesian networks

G. Gini, D. Cutic, G. Gini, 2014, IAS 2014.

The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method

Emilio Benfenati, Giuseppina Gini, Andrey A. Toropov, 2013, Structural Chemistry.

CORAL: Predictions of rate constants of hydroxyl radical reaction using representation of the molecular structure obtained by combination of SMILES and Graph approaches

Jerzy Leszczynski, Emilio Benfenati, Giuseppina Gini, 2012 .

QSAR: What Else?

Giuseppina Gini, G. Gini, 2018, Methods in molecular biology.

QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids

Emilio Benfenati, Giuseppina Gini, Andrey A. Toropov, 2012, Structural Chemistry.

Hybrid toxicology expert system: architecture and implementation of a multi-domain hybrid expert system for toxicology

Roberto Todeschini, Emilio Benfenati, Giuseppina Gini, 1998 .

CORAL: Quantitative structure–activity relationship models for estimating toxicity of organic compounds in rats

Giuseppina C. Gini, Jerzy Leszczynski, Emilio Benfenati, 2011, J. Comput. Chem..

PRODS: A shell for industrial diagnosis☆

Giuseppina Gini, Piera Sassaroli, G. Gini, 1995 .

Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method

Emilio Benfenati, Giuseppina Gini, Andrey A. Toropov, 2013 .

Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical

Giuseppina C. Gini, Jerzy Leszczynski, Emilio Benfenati, 2012, J. Comput. Chem..

Co-evolutions of correlations for QSAR of toxicity of organometallic and inorganic substances: An unexpected good prediction based on a model that seems untrustworthy

Emilio Benfenati, Giuseppina Gini, Andrey A. Toropov, 2011 .

QSAR modelling toxicity toward rats of inorganic substances by means of CORAL

Emilio Benfenati, Giuseppina Gini, Andrey A. Toropov, 2010 .

ENSEMBLING REGRESSION MODELS TO IMPROVE THEIR PREDICTIVITY: A CASE STUDY IN QSAR (QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS) WITH COMPUTATIONAL CHEMOMETRICS

Giuseppina C. Gini, Tushar Garg, Marco Stefanelli, 2009, Appl. Artif. Intell..

Validation of the models

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2007 .

A new in silico classification model for ready biodegradability, based on molecular fragments.

Emilio Benfenati, Giuseppina Gini, Anna Lombardo, 2014, Chemosphere.

Reasoning on objects and grasping using description logics

Giuseppina Gini, Nicola Vitucci, G. Gini, 2019, Adv. Robotics.

ToxRead: A tool to assist in read across and its use to assess mutagenicity of chemicals£

E Benfenati, G Gini, A Manganaro, 2014, SAR and QSAR in environmental research.

Simplified Molecular Input‐Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV‐1 Integrase Inhibitors

Emilio Benfenati, Giuseppina Gini, Andrey A Toropov, 2011, Chemical biology & drug design.

Predicting Toxicity against the fathead Minnow by Adaptive Fuzzy Partition

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2003 .

Acquisition and analysis of EMG signals to recognize multiple hand movements for prosthetic applications

Michele Folgheraiter, Giuseppina Gini, Matteo Arvetti, 2012, HRI 2012.

New Results on Classifying EMG Signals for Interfacing Patients and Mechanical Devices

Giuseppina Gini, Paolo Belluco, Flavio Mutti, 2014 .

Computational Efficient Balance Control for a Lightweight Biped Robot with Sensor Based ZMP Estimation

Giuseppina C. Gini, Michele Folgheraiter, Alikhan Yessaly, 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network

Giuseppina C. Gini, Emilio Benfenati, Marco Lorenzini, 1999, J. Chem. Inf. Comput. Sci..

Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling

Giuseppina Gini, Francesco Zanoli, G. Gini, 2020, Methods in Pharmacology and Toxicology.

Multiclass Classifier From A Combination Of Local Experts: Toward Distributed Computation For Real-Problem Classifiers

Giuseppina C. Gini, Emilio Benfenati, Christoph König, 2004, Int. J. Pattern Recognit. Artif. Intell..

Learning and executing rhythmic movements through chaotic neural networks: a new method for walking humanoid robots

Giuseppina Gini, Michele Folgheraiter, Alessio Mauro Franchi, 2016 .

CORAL: binary classifications (active/inactive) for Liver-Related Adverse Effects of Drugs.

G. Gini, E. Benfenati, J. Leszczynski, 2012, Current drug safety.

Predictive toxicology of chemicals : experiences and impact of AI tools : papers from the 1999 AAAI Symposium : March 22-24, Stanford, California

Alan R. Katritzky, Giuseppina C. Gini, Alan R. Katritzky, 1999 .

Could deep learning in neural networks improve the QSAR models?

E Benfenati, G Raitano, G Gini, 2019, SAR and QSAR in environmental research.

Tuning Neural and Fuzzy-Neural Networks for Toxicity Modeling

Giuseppina C. Gini, Emilio Benfenati, Daniel Neagu, 2003, J. Chem. Inf. Comput. Sci..

Neural and neuro-fuzzy models of toxic action of phenols

Giuseppina Gini, C.-D.N. Neagu, A. O. Aptula, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach

Giuseppina C. Gini, Emilio Benfenati, Daniel Neagu, 2002, Multiple Classifier Systems.

A Comparison of Probabilistic, Neural, and Fuzzy Modeling in Ecotoxicity

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2002 .

Results from a Data Mining Approach to Predictive Toxicology. The Case of Pesticides Data

Giuseppina C. Gini, Emilio Benfenati, G. Gini, 2002, PRIS.

A Classifier of Shoulder Movements for a Wearable EMG-Based Device

Giuseppina Gini, Paolo Belluco, Simone Pontiggia, 2017, J. Medical Robotics Res..

Computational predictive programs (expert systems) in toxicology.

E Benfenati, G Gini, G. Gini, 1997, Toxicology.

Predictive Toxicology Results Integrating Different AI Paradigms: The Carcinogenicity Case

Giuseppina C. Gini, Emilio Benfenati, Marco Lorenzini, 1999, IIA/SOCO.

A biomimetic upper body for humanoids

Giuseppina C. Gini, Michele Folgheraiter, Ilaria Baroni, 2010, ISR/ROBOTIK.

MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System

Giuseppina C. Gini, Michele Folgheraiter, G. Gini, 2005, Biomimetic Neural Learning for Intelligent Robots.

A Model of the Visual Dorsal Pathway for Computing Coordinate Transformations: An Unsupervised Approach

Giuseppina Gini, Flavio Mutti, Hugo Gravato Marques, 2012, BICA.

How Far Chemistry and Toxicology are Computational Sciences

Giuseppina Gini, G. Gini, 2014 .

SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance

G. Gini, E. Benfenati, A. Toropova, 2012, Structural Chemistry.

The acceptance of in silico models for REACH: Requirements, barriers, and perspectives

Emilio Benfenati, Giuseppina Gini, Simon Pardoe, 2011, Chemistry Central journal.

OCWLGI descriptors: theory and praxis.

Emilio Benfenati, Giuseppina Gini, Andrey A Toropov, 2013, Current computer-aided drug design.

QSAR models for inhibitors of physiological impact of Escherichia coli that leads to diarrhea.

G. Gini, E. Benfenati, J. Leszczynski, 2013, Biochemical and biophysical research communications.

SMILES-based QSAR approaches for carcinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes.

Jerzy Leszczynski, Emilio Benfenati, Giuseppina Gini, 2011, Anti-cancer agents in medicinal chemistry.

Human-Oriented Biped Robot Design: Insights into the Development of a truly Anthropomorphic Leg

Giuseppina C. Gini, Umberto Scarfogliero, Michele Folgheraiter, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

A Biologically Founded Design and Control of a Humanoid Biped

Umberto Scarfogliero, Giuseppina Gini, Michele Folgheraiter, 2009 .

New joint design to create a more natural and efficient biped

Umberto Scarfogliero, Michele Folgheraiter, Giuseppina Gini, 2009 .

A multi-task system for robot programming

Maria Gini, Maria L. Gini, Giuseppina Gini, 1979, SIGP.

QSAR Methods.

G. Gini, 2022, Methods in molecular biology.

Defining New Structural and Mobile Support to Improve Hospital Facilities Access and Usability

Giuseppina Gini, Bartolomeo Montrucchio, Alessandro Carlini, 2012, FHIES.

The Importance of Scaling in Data Mining for Toxicity Prediction

Giuseppina C. Gini, Emilio Benfenati, Daniel Neagu, 2002, J. Chem. Inf. Comput. Sci..

Classification of EMG signals through wavelet analysis and neural networks for controlling an active hand prosthesis

G. Gini, M. Folgheraiter, M. Arvetti, 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

Correction to Structures of Endocrine-Disrupting Chemicals Determine Binding to and Activation of the Estrogen Receptor α and Androgen Receptor.

H. Hong, G. Gini, E. Benfenati, 2022, Environmental science & technology.

GUEST EDITORIAL: PAPERS IN SENSING AND IN REASONING (MARCO SOMALVICO MEMORIAL ISSUE)

Marco Colombetti, Ephraim Nissan, Giuseppina C. Gini, 2008, Cybern. Syst..