Publicaciones en las que colabora con Leonardo Franco (26)

2021

  1. Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients

    European Journal of Cancer, Vol. 144, pp. 224-231

2020

  1. Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm

    Neural Computing and Applications, Vol. 32, Núm. 13, pp. 8955-8963

2019

  1. Spatial and meteorological relevance in NO 2 estimations: a case study in the Bay of Algeciras (Spain)

    Stochastic Environmental Research and Risk Assessment, Vol. 33, Núm. 3, pp. 801-815

  2. 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)

  3. Estimation of NO2 concentration values in a monitoring sensor network using a fusion approach

    Fresenius Environmental Bulletin, Vol. 28, Núm. 2, pp. 681-686

  4. 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

  4. Prediction of carbon monoxide (CO) atmospheric pollution concentrations using meterological variables

    WIT Transactions on Ecology and the Environment, Vol. 211, pp. 137-145

  5. Solving scheduling problems with genetic algorithms using a priority encoding scheme

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 52-61

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