Publicaciones en las que colabora con Leonardo Franco (20)

2019

  1. Addition of Pathway-Based Information to Improve Predictions in Transcriptomics

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Forward Noise Adjustment Scheme for Data Augmentation

    Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018

2018

  1. BLASSO: Integration of biological knowledge into a regularized linear model

    BMC Systems Biology, Vol. 12

  2. Classification of high dimensional data using LASSO ensembles

    2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings

2017

  1. Deep learning to analyze RNA-Seq gene expression data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. L1-regularization model enriched with biological knowledge

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Machine learning models to search relevant genetic signatures in clinical context

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. Advanced online survival analysis tool for predictive modelling in clinical data science

    PLoS ONE, Vol. 11, Núm. 8

2015

  1. Use of q-values to improve a genetic algorithm to identify robust gene signatures

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

    Theoretical Biology and Medical Modelling, Vol. 11, Núm. SUPPL.1

  2. Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords

    Journal of Biomedical Informatics, Vol. 49, pp. 32-44

2013

  1. A constructive neural network to predict pitting corrosion status of stainless steel

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Addressing critical issues in the development of an Oncology Information System

    International Journal of Medical Informatics, Vol. 82, Núm. 5, pp. 398-407

  3. Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms

    PROCEEDINGS IWBBIO 2013: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING

  4. Committee c-mantec: A probabilistic constructive neural network

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012

  1. Energy-efficient reprogramming in WSN using constructive neural networks

    International Journal of Innovative Computing, Information and Control, Vol. 8, Núm. 11, pp. 7561-7578

  2. Improving motivation in learning programming skills for engineering students

    The International journal of engineering education, Vol. 28, Núm. 1, pp. 202-208

  3. WIMP: Web server tool for missing data imputation

    Computer Methods and Programs in Biomedicine, Vol. 108, Núm. 3, pp. 1247-1254

2011

  1. Hybrid (generalization-correlation) method for feature selection in high dimensional DNA microarray prediction problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Constructive neural networks to predict breast cancer outcome by using gene expression profiles

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)