Ignacio Ponzoni
Ignacio Ponzoni
Principal Researcher at CONICET - Associated Professor at Universidad Nacional del Sur
Verified email at - Homepage
Cited by
Cited by
On stopping criteria for genetic algorithms
M Safe, J Carballido, I Ponzoni, N Brignole
Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004
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
CGD-GA: A graph-based genetic algorithm for sensor network design
JA Carballido, I Ponzoni, NB Brignole
Information Sciences 177 (22), 5091-5102, 2007
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), 2403, 2017
Discretization of gene expression data revised
CA Gallo, RL Cecchini, JA Carballido, S Micheletto, I Ponzoni
Briefings in bioinformatics 17 (5), 758-770, 2016
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
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), 9102, 2019
BiHEA: a hybrid evolutionary approach for microarray biclustering
CA Gallo, JA Carballido, I Ponzoni
Advances in Bioinformatics and Computational Biology: 4th Brazilian …, 2009
Microarray biclustering: A novel memetic approach based on the pisa platform
CA Gallo, JA Carballido, I Ponzoni
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2009
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, 1-17, 2015
A new structural algorithm for observability classification
I Ponzoni, MC Sánchez, NB Brignole
Industrial & engineering chemistry research 38 (8), 3027-3035, 1999
Pathway network inference from gene expression data
I Ponzoni, MJ Nueda, S Tarazona, S Götz, D Montaner, JS Dussaut, ...
BMC systems biology 8, 1-17, 2014
Discovering time-lagged rules from microarray data using gene profile classifiers
CA Gallo, JA Carballido, I Ponzoni
BMC bioinformatics 12, 1-21, 2011
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
Using molecular embeddings in QSAR modeling: does it make a difference?
MV Sabando, I Ponzoni, EE Milios, AJ Soto
Briefings in bioinformatics 23 (1), bbab365, 2022
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
Modesus: A machine learning tool for selection of molecular descriptors in qsar studies applied to molecular informatics
MJ Martínez, M Razuc, I Ponzoni
BioMed research international 2019, 2019
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
Polymer informatics: Expert-in-the-loop in QSPR modeling of refractive index
SA Schustik, F Cravero, I Ponzoni, MF Diaz
Computational Materials Science 194, 110460, 2021
Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction
MV Sabando, I Ponzoni, AJ Soto
Applied Soft Computing 85, 105777, 2019
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