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 | 224 | 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 | 91 | 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 | 74 | 2007 |
Discretization of gene expression data revised CA Gallo, RL Cecchini, JA Carballido, S Micheletto, I Ponzoni Briefings in bioinformatics 17 (5), 758-770, 2016 | 68 | 2016 |
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 | 67 | 2017 |
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 | 62 | 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 | 54 | 2019 |
BiHEA: a hybrid evolutionary approach for microarray biclustering CA Gallo, JA Carballido, I Ponzoni Advances in Bioinformatics and Computational Biology: 4th Brazilian …, 2009 | 46 | 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 | 40 | 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 | 39 | 2015 |
A new structural algorithm for observability classification I Ponzoni, MC Sánchez, NB Brignole Industrial & engineering chemistry research 38 (8), 3027-3035, 1999 | 37 | 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 | 36 | 2014 |
Discovering time-lagged rules from microarray data using gene profile classifiers CA Gallo, JA Carballido, I Ponzoni BMC bioinformatics 12, 1-21, 2011 | 33 | 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 | 30 | 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 | 26 | 2022 |
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 | 24 | 2016 |
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 | 24 | 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 (1), 2905203, 2019 | 23 | 2019 |
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 | 21 | 2021 |
A wrapper-based feature selection method for ADMET prediction using evolutionary computing AJ Soto, RL Cecchini, GE Vazquez, I Ponzoni Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics …, 2008 | 21 | 2008 |