Ignacio Ponzoni

45 papers B 2C 1Misc 4Journal 25Unranked 13
YearRankTypeTitle / Venue / Authors
2024 C conf
Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter.
CLEI
María Jimena Martínez, Silvia N. Schiaffino, Daniela Godoy, Ignacio Ponzoni, Axel J. Soto
2023 J jnl
Filtering non-balanced data using an evolutionary approach.
Log. J. IGPL
Jessica Andrea Carballido, Ignacio Ponzoni, Rocío L. Cecchini
2022 J jnl
Multitask Deep Neural Networks for Ames Mutagenicity Prediction.
J. Chem. Inf. Model.
María Jimena Martínez, María Virginia Sabando, Axel J. Soto, Carlos Roca, Carlos Requena-Triguero, Nuria E. Campillo, Juan A. Páez, Ignacio Ponzoni
2022 — conf
Statistical Learning Analysis of Thyroid Cancer Microarray Data.
IWBBIO (2)
Iván Petrini, Rocío L. Cecchini, Marilina Mascaró, Ignacio Ponzoni, Jessica Andrea Carballido
2022 J jnl
Using molecular embeddings in QSAR modeling: does it make a difference?
Briefings Bioinform.
María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
2021 J jnl
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening.
IEEE Trans. Vis. Comput. Graph.
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
2021 J jnl
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?
CoRR
María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto
2020 — conf
A Database Curation for Prediction of the Refractive Index in the Virtual Testing of Polymeric Materials by Using Machine Learning.
ICPR-Americas (2)
Santiago A. Schustik, Fiorella Cravero, Ignacio Ponzoni, Mónica Fátima Díaz
2020 J jnl
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening.
CoRR
María Virginia Sabando, Pavol Ulbrich, Matias Nicolás Selzer, Jan Byska, Jan Mican, Ignacio Ponzoni, Axel J. Soto, Maria Luján Ganuza, Barbora Kozlíková
2020 J jnl
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets.
J. Chem. Inf. Model.
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
2020 Misc conf
PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection.
HAIS
Jessica Andrea Carballido, Ignacio Ponzoni, Rocío L. Cecchini
2019 J jnl
Development and use of a Cytoscape app for GRNCOP2.
Comput. Methods Programs Biomed.
Juan J. Diaz-Montana, Norberto Díaz-Díaz, Carlos D. Barranco, Ignacio Ponzoni
2019 J jnl
Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction.
Appl. Soft Comput.
María Virginia Sabando, Ignacio Ponzoni, Axel J. Soto
2019 J jnl
QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.
J. Integr. Bioinform.
Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni
2018 J jnl
An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters.
Electron. Notes Discret. Math.
Jessica Andrea Carballido, Macarena A. Latini, Ignacio Ponzoni, Rocío L. Cecchini
2018 J jnl
Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling.
Electron. Notes Discret. Math.
María Jimena Martínez, Julieta Sol Dussaut, Ignacio Ponzoni
2018 B conf
Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection.
CEC
Julieta Sol Dussaut, Pablo Javier Vidal, Ignacio Ponzoni, Ana Carolina Olivera
2018 — conf
FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution.
IPMU (3)
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni
2018 Misc conf
Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property.
PACBB
Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Carlos D. Barranco, Mónica Fátima Díaz, Ignacio Ponzoni
2018 Misc conf
QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches.
PACBB
Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni
2018 J jnl
Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach.
Appl. Soft Comput.
Rocío L. Cecchini, Carlos M. Lorenzetti, Ana Gabriela Maguitman, Ignacio Ponzoni
2017 — conf
Analysis of Gene Expression Discretization Techniques in Microarray Biclustering.
IWBBIO (2)
Julieta Sol Dussaut, Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
2017 J jnl
GeRNet: a gene regulatory network tool.
Biosyst.
Julieta Sol Dussaut, Cristian Andrés Gallo, Fiorella Cravero, María Jimena Martínez, Jessica Andrea Carballido, Ignacio Ponzoni
2017 — conf
QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health.
IWBBIO (2)
Fiorella Cravero, María Jimena Martínez, Mónica Fátima Díaz, Ignacio Ponzoni
2016 J jnl
Crosstalk pathway inference using topological information and biclustering of gene expression data.
Biosyst.
Julieta Sol Dussaut, Cristian Andrés Gallo, Rocío L. Cecchini, Jessica Andrea Carballido, Ignacio Ponzoni
2016 J jnl
Discretization of gene expression data revised.
Briefings Bioinform.
Cristian Andrés Gallo, Rocío L. Cecchini, Jessica Andrea Carballido, Sandra Micheletto, Ignacio Ponzoni
2016 J jnl
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.
J. Integr. Bioinform.
Fiorella Cravero, María Jimena Martínez, Gustavo Esteban Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
2016 Misc conf
Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools.
PACBB
Fiorella Cravero, María Jimena Martínez, Gustavo E. Vazquez, Mónica Fátima Díaz, Ignacio Ponzoni
2015 J jnl
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.
J. Cheminformatics
María Jimena Martínez, Ignacio Ponzoni, Mónica Fátima Díaz, Gustavo E. Vazquez, Axel J. Soto
2014 J jnl
Pathway network inference from gene expression data.
BMC Syst. Biol.
Ignacio Ponzoni, María José Nueda, Sonia Tarazona, Stefan Götz, David Montaner, Julieta Sol Dussaut, Joaquín Dopazo, Ana Conesa
2012 J jnl
Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry.
Expert Syst. Appl.
Rocío L. Cecchini, Ignacio Ponzoni, Jessica Andrea Carballido
2011 J jnl
Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers.
BMC Bioinform.
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
2010 — conf
BAT: A New Biclustering Analysis Toolbox.
BSB
Cristian Andrés Gallo, Julieta Sol Dussaut, Jessica Andrea Carballido, Ignacio Ponzoni
2009 — conf
BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering.
BSB
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
2009 — conf
Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation.
IWANN (1)
Ana Carolina Olivera, Mariano Frutos, Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
2009 — conf
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform.
EvoBIO
Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni
2009 J jnl
SID-GA: An evolutionary approach for improving observability and redundancy analysis in structural instrumentation design.
Comput. Ind. Eng.
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
2009 — conf
Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs.
IWANN (2)
Axel J. Soto, Ignacio Ponzoni, Gustavo E. Vazquez
2008 — conf
A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing.
EvoBIO
Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni
2008 J jnl
An Evolutionary Approach for Feature Selection applied to ADMET Prediction.
Inteligencia Artif.
Axel J. Soto, Rocío L. Cecchini, Gustavo E. Vazquez, Ignacio Ponzoni
2007 J jnl
CGD-GA: A graph-based genetic algorithm for sensor network design.
Inf. Sci.
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
2007 J jnl
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ignacio Ponzoni, Francisco Azuaje, Juan Carlos Augusto, David H. Glass
2006 — conf
Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem.
IBERAMIA-SBIA
Fernando Asteasuain, Jessica Andrea Carballido, Gustavo E. Vazquez, Ignacio Ponzoni
2005 B conf
A Novel Application of Evolutionary Computing in Process Systems Engineering.
EvoCOP
Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole
2004 — conf
On Stopping Criteria for Genetic Algorithms.
SBIA
Martín Darío Safe, Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole