Gustavo E. Vazquez

发表

QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge

Ignacio Ponzoni, Damián Palomba, María J. Martínez, 2012, Molecules.

Non-linear constrained GRG optimisation under parallel-distributed computing environments

Gustavo E. Vazquez, Rainiero Rainoldi, Nélida B. Brignole, 2000 .

A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing

Ignacio Ponzoni, Rocío L. Cecchini, Gustavo E. Vazquez, 2008, EvoBIO.

Adaptive matrix metrics for molecular descriptor assessment in QSPR classification

Marc Strickert, Gustavo E. Vazquez, Axel J. Soto, 2010, J. Cheminformatics.

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, J. Integr. Bioinform..

A Parallel Spectral-Projected-Gradient Method for Optimization in Process Engineering

Gustavo E. Vazquez, Nélida B. Brignole, Juan Ignacio Ardenghi, 2014 .

ModGen: a model generator for instrumentation analysis

Ignacio Ponzoni, Gustavo E. Vazquez, Mabel Sánchez, 2000 .

Parallel optimization by means of a Spectral-Projected-Gradient approach

Gustavo E. Vazquez, Nélida Beatriz Brignole, Juan Ignacio Ardenghi, 2015, Comput. Chem. Eng..

Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, PACBB.

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2016, Journal of integrative bioinformatics.

Multi‐Objective Feature Selection in QSAR Using a Machine Learning Approach

Ignacio Ponzoni, Rocío L. Cecchini, Gustavo E. Vazquez, 2009 .

Procesamiento paralelo distribuido heterogéneo en aplicaciones estructurales y numéricas

Gustavo E. Vazquez, Nélida B. Brignole, 2002 .

Adaptive matrix distances aiming at optimum regression subspaces

Marc Strickert, Gustavo E. Vazquez, Axel J. Soto, 2010, ESANN.

Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods

Ignacio Ponzoni, Gustavo E. Vazquez, Axel J. Soto, 2015, Journal of Cheminformatics.

Parallel observability analysis on networks of workstations

Ignacio Ponzoni, Gustavo E. Vazquez, Mabel Sánchez, 2001 .

An Evolutionary Approach for Feature Selection applied to ADMET Prediction

Ignacio Ponzoni, Rocío L. Cecchini, Gustavo E. Vazquez, 2008, Inteligencia Artif..

Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem

Jessica Andrea Carballido, Ignacio Ponzoni, Fernando Asteasuain, 2006, IBERAMIA-SBIA.

Parallel NLP Strategies Using PVM on Heterogeneous Distributed Environments

Gustavo E. Vazquez, Nélida Beatriz Brignole, 1999, PVM/MPI.

Subspace Mapping of Noisy Text Documents

Evangelos E. Milios, Marc Strickert, Gustavo E. Vazquez, 2011, Canadian Conference on AI.

Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs

Ignacio Ponzoni, Gustavo E. Vazquez, Axel J. Soto, 2009, IWANN.

Reduced Set of Virulence Genes Allows High Accuracy Prediction of Bacterial Pathogenicity in Humans

Gustavo E. Vazquez, Gregorio Iraola, Hugo Naya, 2012, PloS one.

Adaptive Visualization of Text Documents Incorporating Domain Knowledge

Gustavo E. Vazquez, Axel J. Soto, 2010 .

Novel descriptors from main and side chains of high-molecular-weight polymers applied to prediction of glass transition temperatures.

Damián Palomba, Mónica F. Díaz, Gustavo E. Vazquez, 2012, Journal of molecular graphics & modelling.

Towards matrix-based selection of feature pairs for ecient ADMET prediction

Jens Keilwagen, Marc Strickert, Gustavo E. Vazquez, 2009 .

Prediction of elongation at break for linear polymers

Damián Palomba, Mónica F. Díaz, Gustavo E. Vazquez, 2014 .

Target‐Driven Subspace Mapping Methods and Their Applicability Domain Estimation

Marc Strickert, Ignacio Ponzoni, Gustavo E. Vazquez, 2011, Molecular informatics.

Evaluation of different approaches for missing data imputation on features associated to genomic data

Gustavo E. Vazquez, Hugo Naya, L. Spangenberg, 2021, BioData Mining.

QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease

Maria Vanina Martinez, Gustavo E. Vazquez, Carlos Roca, 2019, Scientific Reports.

QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer’s Disease

Maria Vanina Martinez, Fiorella Cravero, Ignacio Ponzoni, 2019, Scientific Reports.

Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets

Fiorella Cravero, Ignacio Ponzoni, Gustavo E. Vazquez, 2019, J. Chem. Inf. Model..

Reduced Set of Virulence Genes Allows High Accuracy Prediction of Bacterial Pathogenicity in Humans

Gustavo E. Vazquez, Hugo Naya, G. Iraola, 2012, PloS one.

Confidence Assessment of Candidate Drug Property Predictions by Subspace Mapping Methods

Gustavo E. Vazquez, Axel J. Soto, M. Strickert, 2011 .

ARTÍCULO An Evolutionary Approach for Feature Selection applied to ADMET Prediction

Gustavo E. Vazquez, Axel J. Soto, R. L. Cecchini, 2022 .

An Evolutionary Approach for Multi-Objective Feature Selection in ADMET Prediction

Gustavo E. Vazquez, Axel J. Soto, R. L. Cecchini, 2022 .