P. Mazzatorta

发表

Alternative (non-animal) methods for cosmetics testing: current status and future prospects—2010

Valérie Zuang, George Loizou, Andrew Worth, 2011, Archives of Toxicology.

QSAR models for Daphnia magna toxicity prediction of benzoxazinone allelochemicals and their transformation products.

F. Lemke, E. Benfenati, F. Fratev, 2006, Journal of agricultural and food chemistry.

Towards and Intelligent Data Type for Toxicity

Bernd Schuller, Emilio Benfenati, Mathilde Romberg, 2003, IC-AI.

Using urinary solubility data to estimate the level of safety concern of low levels of melamine (MEL) and cyanuric acid (CYA) present simultaneously in infant formulas.

A. Renwick, A. Constable, B. Schilter, 2010, Regulatory toxicology and pharmacology : RTP.

A global approach for prioritizing chemical contaminants in raw materials of food for infants and young children

G. Scholz, P. Mazzatorta, Y. Chung, 2019, Food Control.

On the mechanism of steam forming during impulse pressing of wet paper webs

D. Martinez, P. Mazzatorta, M. Lucisano, 2001 .

A QSAR Study of Avian Oral Toxicity using Support Vector Machines and Genetic Algorithms

Emilio Benfenati, Paolo Mazzatorta, Mark T. D. Cronin, 2006 .

Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds

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

Predictive Models for Carcinogenicity and Mutagenicity: Frameworks, State-of-the-Art, and Perspectives

C Helma, R Benigni, E Benfenati, 2009, Journal of environmental science and health. Part C, Environmental carcinogenesis & ecotoxicology reviews.

A new global scientific tool for the assessment and prioritization of chemical hazards in food raw materials

Paolo Mazzatorta, Thomas Stroheker, Gabriele Scholz, 2017 .

QSAR in Ecotoxicity: An Overview of Modern Classification Techniques

Marco Vighi, Emilio Benfenati, Paolo Mazzatorta, 2004, J. Chem. Inf. Model..

QSAR Model for Predicting Pesticide Aquatic Toxicity

Emilio Benfenati, Paolo Mazzatorta, Martin Smiesko, 2005, J. Chem. Inf. Model..

Modeling Toxicity by Using Supervised Kohonen Neural Networks

Emilio Benfenati, Marjan Vracko, Aneta Jezierska-Mazzarello, 2003, J. Chem. Inf. Comput. Sci..

Evaluation of pesticide toxicity: a hierarchical QSAR approach to model the acute aquatic toxicity and avian oral toxicity of pesticides

Paolo Mazzatorta, P. Mazzatorta, 2005 .

Use of computational tools in the field of food safety.

Andrew Worth, Paolo Mazzatorta, Benoît Schilter, 2011, Regulatory toxicology and pharmacology : RTP.

Modeling Oral Rat Chronic Toxicity.

Paolo Mazzatorta, Benoît Schilter, Myriam Coulet, 2009 .

Modeling Oral Rat Chronic Toxicity

Paolo Mazzatorta, Benoît Schilter, Manuel Dominguez Estevez, 2008, J. Chem. Inf. Model..

Toxicity in allelopathy: In Silico Approach

Emilio Benfenati, Paolo Mazzatorta, Martin Smiesko, 2006 .

Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study

C Helma, M Vracko, V Bandelj, 2006, 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..

Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach

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

Integrated Computational Methods for Prediction of the Lowest Observable Adverse Effect Level of Food‐Borne Molecules

Paolo Mazzatorta, Benoît Schilter, Liên-Anh Tran, 2007 .

The Importance of Scaling in Data Mining for Toxicity Prediction

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

Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (Pimephales promelas)

Emilio Benfenati, Mathilde Romberg, Uko Maran, 2007, GCCB.