Ignacio Ponzoni

Orcid: 0000-0002-6923-9592

According to our database1, Ignacio Ponzoni authored at least 41 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Filtering non-balanced data using an evolutionary approach.
Log. J. IGPL, March, 2023

2022
Multitask Deep Neural Networks for Ames Mutagenicity Prediction.
J. Chem. Inf. Model., 2022

Using molecular embeddings in QSAR modeling: does it make a difference?
Briefings Bioinform., 2022

Statistical Learning Analysis of Thyroid Cancer Microarray Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022

2021
ChemVA: Interactive Visual Analysis of Chemical Compound Similarity in Virtual Screening.
IEEE Trans. Vis. Comput. Graph., 2021

2020
Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RVDD Algorithm Using Synthetic Polydisperse Data Sets.
J. Chem. Inf. Model., 2020

PreCLAS: An Evolutionary Tool for Unsupervised Feature Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.
J. Integr. Bioinform., 2019

Development and use of a Cytoscape app for GRNCOP2.
Comput. Methods Programs Biomed., 2019

Neural-based approaches to overcome feature selection and applicability domain in drug-related property prediction.
Appl. Soft Comput., 2019

2018
Biclustering as Strategy for Improving Feature Selection in Consensus QSAR Modeling.
Electron. Notes Discret. Math., 2018

An Evolutionary Algorithm for Automatic Recommendation of Clustering Methods and its Parameters.
Electron. Notes Discret. Math., 2018

Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach.
Appl. Soft Comput., 2018

QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

FS4RVDD: A Feature Selection Algorithm for Random Variables with Discrete Distribution.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Comparing Multiobjective Evolutionary Algorithms for Cancer Data Microarray Feature Selection.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
GeRNet: a gene regulatory network tool.
Biosyst., 2017

Analysis of Gene Expression Discretization Techniques in Microarray Biclustering.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

QSAR Classification Models for Predicting Affinity to Blood or Liver of Volatile Organic Compounds in e-Health.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.
J. Integr. Bioinform., 2016

Crosstalk pathway inference using topological information and biclustering of gene expression data.
Biosyst., 2016

Discretization of gene expression data revised.
Briefings Bioinform., 2016

Intelligent Systems for Predictive Modelling in Cheminformatics: QSPR Models for Material Design Using Machine Learning and Visual Analytics Tools.
Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016

2015
Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.
J. Cheminformatics, 2015

2014
Pathway network inference from gene expression data.
BMC Syst. Biol., 2014

2012
Multi-objective evolutionary approaches for intelligent design of sensor networks in the petrochemical industry.
Expert Syst. Appl., 2012

2011
Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers.
BMC Bioinform., 2011

2010
BAT: A New Biclustering Analysis Toolbox.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2010

2009
SID-GA: An evolutionary approach for improving observability and redundancy analysis in structural instrumentation design.
Comput. Ind. Eng., 2009

BiHEA: A Hybrid Evolutionary Approach for Microarray Biclustering.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2009

Segregating Confident Predictions of Chemicals' Properties for Virtual Screening of Drugs.
Proceedings of the Distributed Computing, 2009

Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform.
Proceedings of the Evolutionary Computation, 2009

2008
An Evolutionary Approach for Feature Selection applied to ADMET Prediction.
Inteligencia Artif., 2008

A Wrapper-Based Feature Selection Method for ADMET Prediction Using Evolutionary Computing.
Proceedings of the Evolutionary Computation, 2008

2007
Inferring Adaptive Regulation Thresholds and Association Rules from Gene Expression Data through Combinatorial Optimization Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

CGD-GA: A graph-based genetic algorithm for sensor network design.
Inf. Sci., 2007

2006
Using Computational Intelligence and Parallelism to Solve an Industrial Design Problem.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
A Novel Application of Evolutionary Computing in Process Systems Engineering.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2005

2004
On Stopping Criteria for Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004


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