Marco Pintore

发表

Predicting Toxicity against the fathead Minnow by Adaptive Fuzzy Partition

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2003 .

Adaptive fuzzy partition in database mining: application to olfaction

Marco Pintore, Jacques R. Chrétien, K. Audouze, 2002, Data Sci. J..

Automatical initialization of RBF neural networks

Marco Pintore, Jacques R. Chrétien, Frédéric Ros, 2007 .

CAESAR models for developmental toxicity

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2010, Chemistry Central journal.

Algorithms for (Q)SAR model building

Marco Pintore, Nadège Piclin, Jacques R. Chrétien, 2007 .

Global QSAR models of skin sensitisers for regulatory purposes

Marco Pintore, Nadège Piclin, Qasim Chaudhry, 2010, Chemistry Central journal.

Use of neighborhood and stratification approaches to speed up instance selection algorithm

Marco Pintore, Nadège Piclin, Rachid Harba, 2010, 2010 International Conference of Soft Computing and Pattern Recognition.

Comparing the Information Content of Two Large Olfactory Databases

Gilles Sicard, Marco Pintore, Jacques R. Chrétien, 2006, J. Chem. Inf. Model..

Appendix C – Example procedures in molecular modelling

Marco Pintore, Christophe Wechman, 2007 .

Classification of a large anticancer data set by Adaptive Fuzzy Partition

Marco Pintore, Nadège Piclin, Jacques R Chrétien, 2004, J. Comput. Aided Mol. Des..

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.

Chemomentum - UNICORE 6 Based Infrastructure for Complex Applications in Science and Technology

Bernd Schuller, Kim K. Baldridge, Marco Pintore, 2007, Euro-Par Workshops.

Validation of the models

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2007 .

Steering committee

Marco Pintore, Sami Chtourou, BIOFIT AT A GLANCE, 2020, Proceedings of the IEEE 2013 Custom Integrated Circuits Conference.

Data mining in natural substance databases : application to the anticarcinoma drug field.

Marco Pintore, Nadège Piclin, C. Viel, 2000 .

Fast dual selection using genetic algorithms for large data sets

Marco Pintore, Rachid Harba, Frédéric Ros, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

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

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2002 .

Le screening virtuel à haut débit (v-HTS)

Marco Pintore, Jacques R. Chrétien, Frédéric Ros, 2000 .

A fast and flexible instance selection algorithm adapted to non-trivial database sizes

Marco Pintore, Serge Guillaume, Rachid Harba, 2015, Intell. Data Anal..

Chapter 7 – Results of DEMETRA models

Marco Pintore, Nadège Piclin, Emilio Benfenati, 2007 .

Automatic design of growing radial basis function neural networks based on neighboorhood concepts

Marco Pintore, Jacques R. Chrétien, Frédéric Ros, 2007 .

Hybrid genetic algorithm for dual selection

Marco Pintore, Jacques R. Chrétien, Serge Guillaume, 2008, Pattern Analysis and Applications.

Prediction of odours of aliphatic alcohols and carbonylated compounds using fuzzy partition and self organising maps (SOM)

Marco Pintore, Jacques R. Chrétien, Frédéric Ros, 2000 .

Comparing the Information Content of Two Large Olfactory Databases.

Gilles Sicard, Marco Pintore, Jacques R. Chrétien, 2006 .

Prediction of oral bioavailability by adaptive fuzzy partitioning.

Marco Pintore, Nadège Piclin, Jacques R Chrétien, 2003, European journal of medicinal chemistry.

SENSORY ANALYSIS OF RED WINES: DISCRIMINATION BY ADAPTIVE FUZZY PARTITION

Marco Pintore, Nadège Piclin, Jacques R. Chrétien, 2008 .