Sledovat
Ignacio Ponzoni
Ignacio Ponzoni
Principal Researcher at CONICET - Associated Professor at Universidad Nacional del Sur
E-mailová adresa ověřena na: cs.uns.edu.ar - Domovská stránka
Název
Citace
Citace
Rok
On stopping criteria for genetic algorithms
M Safe, J Carballido, I Ponzoni, N Brignole
Brazilian Symposium on Artificial Intelligence, 405-413, 2004
2002004
CGD-GA: A graph-based genetic algorithm for sensor network design
JA Carballido, I Ponzoni, NB Brignole
Information Sciences 177 (22), 5091-5102, 2007
712007
Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires
JR Romero, PF Roncallo, PC Akkiraju, I Ponzoni, VC Echenique, ...
Computers and electronics in agriculture 96, 173-179, 2013
602013
Multi‐objective feature selection in QSAR using a machine learning approach
AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni
QSAR & Combinatorial Science 28 (11‐12), 1509-1523, 2009
592009
Discretization of gene expression data revised
CA Gallo, RL Cecchini, JA Carballido, S Micheletto, I Ponzoni
Briefings in bioinformatics 17 (5), 758-770, 2016
572016
Hybridizing feature selection and feature learning approaches in QSAR modeling for drug discovery
I Ponzoni, V Sebastián-Pérez, C Requena-Triguero, C Roca, MJ Martínez, ...
Scientific reports 7 (1), 1-19, 2017
462017
BiHEA: a hybrid evolutionary approach for microarray biclustering
CA Gallo, JA Carballido, I Ponzoni
Brazilian Symposium on Bioinformatics, 36-47, 2009
432009
Microarray biclustering: A novel memetic approach based on the pisa platform
CA Gallo, JA Carballido, I Ponzoni
European Conference on Evolutionary Computation, Machine Learning and Data …, 2009
372009
Pathway network inference from gene expression data
I Ponzoni, MJ Nueda, S Tarazona, S Götz, D Montaner, JS Dussaut, ...
BMC systems biology 8 (2), 1-17, 2014
362014
A new structural algorithm for observability classification
I Ponzoni, MC Sánchez, NB Brignole
Industrial & engineering chemistry research 38 (8), 3027-3035, 1999
361999
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods
MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto
Journal of cheminformatics 7 (1), 1-17, 2015
352015
QSAR classification models for predicting the activity of inhibitors of beta-secretase (BACE1) associated with Alzheimer’s disease
I Ponzoni, V Sebastián-Pérez, MJ Martínez, C Roca, C De la Cruz Pérez, ...
Scientific reports 9 (1), 1-13, 2019
332019
Inferring adaptive regulation thresholds and association rules from gene expression data through combinatorial optimization learning
I Ponzoni, F Azuaje, J Augusto, D Glass
IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (4), 624-634, 2007
312007
Discovering time-lagged rules from microarray data using gene profile classifiers
CA Gallo, JA Carballido, I Ponzoni
BMC bioinformatics 12 (1), 1-21, 2011
302011
Target‐Driven Subspace Mapping Methods and Their Applicability Domain Estimation
AJ Soto, GE Vazquez, M Strickert, I Ponzoni
Molecular Informatics 30 (9), 779-789, 2011
232011
Feature learning applied to the estimation of tensile strength at break in polymeric material design
C Fiorella, MM Jimena, V Gustavo, MF Díaz, P Ignacio
Journal of integrative bioinformatics 13 (2), 15-29, 2016
212016
A wrapper-based feature selection method for ADMET prediction using evolutionary computing
AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni
European Conference on Evolutionary Computation, Machine Learning and Data …, 2008
172008
ModGen: a model generator for instrumentation analysis
GE Vazquez, I Ponzoni, MC Sánchez, NB Brignole
Advances in Engineering Software 32 (1), 37-48, 2001
172001
Direct method for structural observability analysis
I Ponzoni, MC Sánchez, NB Brignole
Industrial & engineering chemistry research 43 (2), 577-588, 2004
152004
QSPR Models for Predicting Log Pliver Values for Volatile Organic Compounds Combining Statistical Methods and Domain Knowledge
D Palomba, MJ Martínez, I Ponzoni, MF Díaz, GE Vazquez, AJ Soto
Molecules 17 (12), 14937-14953, 2012
142012
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Články 1–20