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ORCIDIgnacio Ponzoni
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2020 – today
- 2024
[c20]María Jimena Martínez, Silvia N. Schiaffino, Daniela Godoy, Ignacio Ponzoni, Axel J. Soto:
Can Pharmacovigilance Be Performed on Social Media? Mining Adverse Vaccine Reactions From Twitter. CLEI 2024: 1-4- 2023
- [j23]Jessica Andrea Carballido, Ignacio Ponzoni
, Rocío L. Cecchini:
Filtering non-balanced data using an evolutionary approach. Log. J. IGPL 31(2): 271-286 (2023) - 2022
- [j22]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) - [j21]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): 6342-6351 (2022) - [c19]Iván Petrini, Rocío L. Cecchini, Marilina Mascaró, Ignacio Ponzoni, Jessica Andrea Carballido:
Statistical Learning Analysis of Thyroid Cancer Microarray Data. IWBBIO (2) 2022: 90-102 - 2021
- [j20]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): 891-901 (2021) - [i2]María Virginia Sabando, Ignacio Ponzoni, Evangelos E. Milios, Axel J. Soto:
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? CoRR abs/2104.02604 (2021) - 2020
- [j19]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): 592-603 (2020) - [c18]Jessica Andrea Carballido, Ignacio Ponzoni, Rocío L. Cecchini:
PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection. HAIS 2020: 172-182 - [c17]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: 279-294 - [i1]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 abs/2008.13150 (2020)
2010 – 2019
- 2019
- [j18]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) - [j17]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: 211-218 (2019) - [j16]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) - 2018
- [j15]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: 749-770 (2018) - [j14]María Jimena Martínez, Julieta Sol Dussaut, Ignacio Ponzoni:
Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling. Electron. Notes Discret. Math. 69: 117-124 (2018) - [j13]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: 229-236 (2018) - [c16]Julieta Sol Dussaut, Pablo Javier Vidal, Ignacio Ponzoni, Ana Carolina Olivera:
Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection. CEC 2018: 1-8 - [c15]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: 211-222 - [c14]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: 43-51 - [c13]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: 63-70 - 2017
- [j12]Julieta Sol Dussaut, Cristian Andrés Gallo, Fiorella Cravero, María Jimena Martínez, Jessica Andrea Carballido, Ignacio Ponzoni:
GeRNet: a gene regulatory network tool. Biosyst. 162: 1-11 (2017) - [c12]Julieta Sol Dussaut, Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
Analysis of Gene Expression Discretization Techniques in Microarray Biclustering. IWBBIO (2) 2017: 257-266 - [c11]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: 424-433 - 2016
- [j11]Cristian Andrés Gallo, Rocío L. Cecchini, Jessica Andrea Carballido, Sandra Micheletto, Ignacio Ponzoni:
Discretization of gene expression data revised. Briefings Bioinform. 17(5): 758-770 (2016) - [j10]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: 1-12 (2016) - [j9]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) - [c10]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: 3-11 - 2015
- [j8]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: 39:1-39:17 (2015) - 2014
- [j7]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): S7 (2014) - 2012
- [j6]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): 2643-2649 (2012) - 2011
- [j5]Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinform. 12: 123 (2011) - 2010
- [c9]Cristian Andrés Gallo, Julieta Sol Dussaut, Jessica Andrea Carballido, Ignacio Ponzoni:
BAT: A New Biclustering Analysis Toolbox. BSB 2010: 67-70
2000 – 2009
- 2009
- [j4]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): 1419-1428 (2009) - [c8]Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform. EvoBIO 2009: 44-55 - [c7]Axel J. Soto, Ignacio Ponzoni, Gustavo E. Vazquez:
Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs. IWANN (2) 2009: 1005-1012 - [c6]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: 1272-1279 - [c5]Cristian Andrés Gallo, Jessica Andrea Carballido, Ignacio Ponzoni:
BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering. BSB 2009: 36-47 - 2008
- [j3]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): 55-63 (2008) - [c4]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: 188-199 - 2007
- [j2]Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole:
CGD-GA: A graph-based genetic algorithm for sensor network design. Inf. Sci. 177(22): 5091-5102 (2007) - [j1]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): 624-634 (2007) - 2006
- [c3]Fernando Asteasuain, Jessica Andrea Carballido, Gustavo E. Vazquez, Ignacio Ponzoni:
Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem. IBERAMIA-SBIA 2006: 188-197 - 2005
- [c2]Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole:
A Novel Application of Evolutionary Computing in Process Systems Engineering. EvoCOP 2005: 12-22 - 2004
- [c1]Martín Darío Safe, Jessica Andrea Carballido, Ignacio Ponzoni, Nélida Beatriz Brignole:
On Stopping Criteria for Genetic Algorithms. SBIA 2004: 405-413
Coauthor Index
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