On Stopping Criteria for Genetic Algorithms. - Martín Darío Safe; Jessica Andrea Carballido; Ignacio Ponzoni; Nélida Beatriz Brignole (SBIA, 2004)

A Novel Application of Evolutionary Computing in Process Systems Engineering. - Jessica Andrea Carballido; Ignacio Ponzoni; Nélida Beatriz Brignole (EvoCOP, 2005)

Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem. - Fernando Asteasuain; Jessica Andrea Carballido; Gustavo E. Vazquez; Ignacio Ponzoni (IBERAMIA-SBIA, 2006)

CGD-GA: A graph-based genetic algorithm for sensor network design. - Jessica Andrea Carballido; Ignacio Ponzoni; Nélida Beatriz Brignole (Inf. Sci., 2007)

Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning. - Ignacio Ponzoni; Francisco Azuaje; Juan Carlos Augusto; David H. Glass (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing. - Axel J. Soto; Rocío L. Cecchini; Gustavo E. Vazquez; Ignacio Ponzoni (EvoBIO, 2008)

An Evolutionary Approach for Feature Selection applied to ADMET Prediction. - Axel J. Soto; Rocío L. Cecchini; Gustavo E. Vazquez; Ignacio Ponzoni (Inteligencia Artif., 2008)

Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform. - Cristian Andrés Gallo; Jessica Andrea Carballido; Ignacio Ponzoni (EvoBIO, 2009)

Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation. - Ana Carolina Olivera; Mariano Frutos; Jessica Andrea Carballido; Ignacio Ponzoni; Nélida Beatriz Brignole (IWANN (1), 2009)

Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs. - Axel J. Soto; Ignacio Ponzoni; Gustavo E. Vazquez (IWANN (2), 2009)

BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering. - Cristian Andrés Gallo; Jessica Andrea Carballido; Ignacio Ponzoni (BSB, 2009)

SID-GA: An evolutionary approach for improving observability and redundancy analysis in structural instrumentation design. - Jessica Andrea Carballido; Ignacio Ponzoni; Nélida Beatriz Brignole (Comput. Ind. Eng., 2009)

BAT: A New Biclustering Analysis Toolbox. - Cristian Andrés Gallo; Julieta Sol Dussaut; Jessica Andrea Carballido; Ignacio Ponzoni (BSB, 2010)

Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. - Cristian Andrés Gallo; Jessica Andrea Carballido; Ignacio Ponzoni (BMC Bioinform., 2011)

Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry. - Rocío L. Cecchini; Ignacio Ponzoni; Jessica Andrea Carballido (Expert Syst. Appl., 2012)

Pathway network inference from gene expression data. - Ignacio Ponzoni; María José Nueda; Sonia Tarazona; Stefan Götz 003; David Montaner; Julieta Sol Dussaut; Joaquín Dopazo; Ana Conesa (BMC Syst. Biol., 2014)

Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. - María Jimena Martínez; Ignacio Ponzoni; Mónica Fátima Díaz; Gustavo E. Vazquez; Axel J. Soto (J. Cheminformatics, 2015)

Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools. - Fiorella Cravero; María Jimena Martínez; Gustavo E. Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (PACBB, 2016)

Discretization of gene expression data revised. - Cristian Andrés Gallo; Rocío L. Cecchini; Jessica Andrea Carballido; Sandra Micheletto; Ignacio Ponzoni (Briefings Bioinform., 2016)

Crosstalk pathway inference using topological information and biclustering of gene expression data. - Julieta Sol Dussaut; Cristian Andrés Gallo; Rocío L. Cecchini; Jessica Andrea Carballido; Ignacio Ponzoni (Biosyst., 2016)

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. - Fiorella Cravero; María Jimena Martínez; Gustavo Esteban Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (J. Integr. Bioinform., 2016)

QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health. - Fiorella Cravero; María Jimena Martínez; Mónica Fátima Díaz; Ignacio Ponzoni (IWBBIO (2), 2017)

Analysis of Gene Expression Discretization Techniques in Microarray Biclustering. - Julieta Sol Dussaut; Cristian Andrés Gallo; Jessica Andrea Carballido; Ignacio Ponzoni (IWBBIO (2), 2017)

GeRNet: a gene regulatory network tool. - Julieta Sol Dussaut; Cristian Andrés Gallo; Fiorella Cravero; María Jimena Martínez; Jessica Andrea Carballido; Ignacio Ponzoni (Biosyst., 2017)

Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection. - Julieta Sol Dussaut; Pablo Javier Vidal; Ignacio Ponzoni; Ana Carolina Olivera (CEC, 2018)

FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Mónica Fátima Díaz; Ignacio Ponzoni (IPMU (3), 2018)

Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Carlos D. Barranco; Mónica Fátima Díaz; Ignacio Ponzoni (PACBB, 2018)

QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches. - Víctor Sebastián-Pérez; María Jimena Martínez; Carmen Gil; Nuria E. Campillo; Ana Martínez; Ignacio Ponzoni (PACBB, 2018)

Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach. - Rocío L. Cecchini; Carlos M. Lorenzetti; Ana Gabriela Maguitman; Ignacio Ponzoni (Appl. Soft Comput., 2018)

An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters. - Jessica Andrea Carballido; Macarena A. Latini; Ignacio Ponzoni; Rocío L. Cecchini (Electron. Notes Discret. Math., 2018)

Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling. - María Jimena Martínez; Julieta Sol Dussaut; Ignacio Ponzoni (Electron. Notes Discret. Math., 2018)

Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction. - María Virginia Sabando; Ignacio Ponzoni; Axel J. Soto (Appl. Soft Comput., 2019)

Development and use of a Cytoscape app for GRNCOP2. - Juan J. Diaz-Montana; Norberto Díaz-Díaz; Carlos D. Barranco; Ignacio Ponzoni (Comput. Methods Programs Biomed., 2019)

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease. - Víctor Sebastián-Pérez; María Jimena Martínez; Carmen Gil; Nuria E. Campillo; Ana Martínez; Ignacio Ponzoni (J. Integr. Bioinform., 2019)

PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection. - Jessica Andrea Carballido; Ignacio Ponzoni; Rocío L. Cecchini (HAIS, 2020)

A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning. - Santiago A. Schustik; Fiorella Cravero; Ignacio Ponzoni; Mónica Fátima Díaz (ICPR-Americas (2), 2020)

Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. - Fiorella Cravero; Santiago Schustik; María Jimena Martínez; Gustavo E. Vazquez; Mónica Fátima Díaz; Ignacio Ponzoni (J. Chem. Inf. Model., 2020)

ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. - María Virginia Sabando; Pavol Ulbrich; Matias Nicolás Selzer; Jan Byska; Jan Mican; Ignacio Ponzoni; Axel J. Soto; Maria Luján Ganuza; Barbora Kozlíková (IEEE Trans. Vis. Comput. Graph., 2021)

Statistical Learning Analysis of Thyroid Cancer Microarray Data. - Iván Petrini; Rocío L. Cecchini; Marilina Mascaró; Ignacio Ponzoni; Jessica Andrea Carballido (IWBBIO (2), 2022)

Using molecular embeddings in QSAR modeling: does it make a difference? - María Virginia Sabando; Ignacio Ponzoni; Evangelos E. Milios; Axel J. Soto (Briefings Bioinform., 2022)

Multitask Deep Neural Networks for Ames Mutagenicity Prediction. - María Jimena Martínez; María Virginia Sabando; Axel J. Soto; Carlos Roca; Carlos Requena-Triguero; Nuria E. Campillo; Juan A. Páez; Ignacio Ponzoni (J. Chem. Inf. Model., 2022)

Filtering non-balanced data using an evolutionary approach. - Jessica Andrea Carballido; Ignacio Ponzoni; Rocío L. Cecchini (Log. J. IGPL, 2023)

Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter. - María Jimena Martínez; Silvia N. Schiaffino; Daniela Godoy; Ignacio Ponzoni; Axel J. Soto (CLEI, 2024)