Ignacio Ponzoni

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 27

Top Topics

Visual Analytics

Feature Selection

Gene Expression

Top Venues

Briefings Bioinform.

Publications

Jessica Andrea Carballido, Ignacio Ponzoni, Rocío L. Cecchini
Filtering non-balanced data using an evolutionary approach. Log. J. IGPL 31 (2) (2023)
María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
Using molecular embeddings in QSAR modeling: does it make a difference? Briefings Bioinform. 23 (1) (2022)
Iván Petrini, Rocío L. Cecchini, Marilina Mascaró, Ignacio Ponzoni, Jessica Andrea Carballido
Statistical Learning Analysis of Thyroid Cancer Microarray Data. IWBBIO (2) (2022)
María Jimena Martínez, María Virginia Sabando, Axel J. Soto, Carlos Roca, Carlos Requena-Triguero, Nuria E. Campillo, Juan A. Páez, Ignacio Ponzoni
Multitask Deep Neural Networks for Ames Mutagenicity Prediction. J. Chem. Inf. Model. 62 (24) (2022)
María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? CoRR (2021)
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets. J. Chem. Inf. Model. 60 (2) (2020)
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening. CoRR (2020)
Santiago A. Schustik, Fiorella Cravero, Ignacio Ponzoni, Mónica Fátima Díaz
A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning. ICPR-Americas (2) (2020)
Jessica Andrea Carballido, Ignacio Ponzoni, Rocío L. Cecchini
PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection. HAIS (2020)
Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni
QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease. J. Integr. Bioinform. 16 (1) (2019)
Juan J. Diaz-Montana, Norberto Díaz-Díaz, Carlos D. Barranco, Ignacio Ponzoni
Development and use of a Cytoscape app for GRNCOP2. Comput. Methods Programs Biomed. 177 (2019)
María Virginia Sabando, Ignacio Ponzoni, Axel J. Soto
Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction. Appl. Soft Comput. 85 (2019)
Julieta Sol Dussaut, Pablo Javier Vidal, Ignacio Ponzoni, Ana Carolina Olivera
Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection. CEC (2018)
Jessica Andrea Carballido, Macarena A. Latini, Ignacio Ponzoni, Rocío L. Cecchini
An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters. Electron. Notes Discret. Math. 69 (2018)
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni
FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution. IPMU (3) (2018)
Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni
QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches. PACBB (2018)
Rocío L. Cecchini, Carlos M. Lorenzetti, Ana Gabriela Maguitman, Ignacio Ponzoni
Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach. Appl. Soft Comput. 69 (2018)
María Jimena Martínez, Julieta Sol Dussaut, Ignacio Ponzoni
Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling. Electron. Notes Discret. Math. 69 (2018)
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Carlos D. Barranco, Mónica Fátima Díaz, Ignacio Ponzoni
Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property. PACBB (2018)
Julieta Sol Dussaut, Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
Analysis of Gene Expression Discretization Techniques in Microarray Biclustering. IWBBIO (2) (2017)
Fiorella Cravero, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni
QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health. IWBBIO (2) (2017)
Julieta Sol Dussaut, Cristian Andrés Gallo, Fiorella Cravero, María Jimena Martínez, Jessica Andrea Carballido, Ignacio Ponzoni
GeRNet: a gene regulatory network tool. Biosyst. 162 (2017)
Fiorella Cravero, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools. PACBB (2016)
Julieta Sol Dussaut, Cristian Andrés Gallo, Rocío L. Cecchini, Jessica Andrea Carballido, Ignacio Ponzoni
Crosstalk pathway inference using topological information and biclustering of gene expression data. Biosyst. 150 (2016)
Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design. J. Integr. Bioinform. 13 (2) (2016)
Cristian Andrés Gallo, Rocío L. Cecchini, Jessica Andrea Carballido, Sandra Micheletto, Ignacio Ponzoni
Discretization of gene expression data revised. Briefings Bioinform. 17 (5) (2016)
María Jimena Martínez, Ignacio Ponzoni, Mónica Fátima Díaz, Gustavo E. Vazquez, Axel J. Soto
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods. J. Cheminformatics 7 (2015)
Ignacio Ponzoni, María José Nueda, Sonia Tarazona, Stefan Götz, David Montaner, Julieta Sol Dussaut, Joaquín Dopazo, Ana Conesa
Pathway network inference from gene expression data. BMC Syst. Biol. 8 (S-2) (2014)
Rocío L. Cecchini, Ignacio Ponzoni, Jessica Andrea Carballido
Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry. Expert Syst. Appl. 39 (3) (2012)
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinform. 12 (2011)
Cristian Andrés Gallo, Julieta Sol Dussaut, Jessica Andrea Carballido, Ignacio Ponzoni
BAT: A New Biclustering Analysis Toolbox. BSB (2010)
Ana Carolina Olivera, Mariano Frutos, Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation. IWANN (1) (2009)
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform. EvoBIO (2009)
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering. BSB (2009)
Axel J. Soto, Ignacio Ponzoni, Gustavo E. Vazquez
Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs. IWANN (2) (2009)
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
SID-GA: An evolutionary approach for improving observability and redundancy analysis in structural instrumentation design. Comput. Ind. Eng. 56 (4) (2009)
Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni
A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing. EvoBIO (2008)
Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni
An Evolutionary Approach for Feature Selection applied to ADMET Prediction. Inteligencia Artif. 12 (37) (2008)
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
CGD-GA: A graph-based genetic algorithm for sensor network design. Inf. Sci. 177 (22) (2007)
Ignacio Ponzoni, Francisco Azuaje, Juan Carlos Augusto, David H. Glass
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 4 (4) (2007)
Fernando Asteasuain, Jessica Andrea Carballido, Gustavo E. Vazquez, Ignacio Ponzoni
Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem. IBERAMIA-SBIA (2006)
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
A Novel Application of Evolutionary Computing in Process Systems Engineering. EvoCOP (2005)
Martín Darío Safe, Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
On Stopping Criteria for Genetic Algorithms. SBIA (2004)