Luis Javier Herrera
Orcid: 0000-0003-3220-9389
According to our database1,
Luis Javier Herrera
authored at least 115 papers
between 2004 and 2024.
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Bibliography
2024
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.
Comput. Biol. Medicine, January, 2024
2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure.
Proceedings of the Advances in Computational Intelligence, 2023
2022
COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
Neural Comput. Appl., 2021
KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge.
Comput. Biol. Medicine, 2021
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion.
BMC Bioinform., 2021
Proceedings of the Advances in Computational Intelligence, 2021
COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
IEEE J. Biomed. Health Informatics, 2020
A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers.
Entropy, 2020
Proceedings of the Bioinformatics and Biomedical Engineering, 2020
2019
Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models.
Proceedings of the Advances in Computational Intelligence, 2019
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN.
Proceedings of the Advances in Computational Intelligence, 2019
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows.
Proceedings of the Advances in Computational Intelligence, 2019
2017
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling.
BMC Bioinform., 2017
Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
Proceedings of the Ubiquitous Computing and Ambient Intelligence, 2017
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification.
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification.
Proceedings of the Intelligent Computing Theories and Application, 2017
2016
Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis.
Int. J. Intell. Syst., 2016
Comput. Hum. Behav., 2016
2015
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition.
Neural Process. Lett., 2015
Proceedings of the Advances in Computational Intelligence, 2015
Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment.
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Ambient Assisted Living. ICT-Based Solutions in Real Life Situations, 2015
2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Data Recycling of Historical Records and Integration in New Information Systems in Cardiology ervice.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Predictive algorithms for determination of reflectance data from quantity of pigments within experimental dental resin composites.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
2013
Inf. Sci., 2013
Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification.
Int. J. Neural Syst., 2013
Expert Syst. Appl., 2013
Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013
2012
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology.
J. Appl. Math., 2012
Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification.
Comput. Biol. Medicine, 2012
2011
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection.
Neurocomputing, 2011
The TaSe-NF model for function approximation problems: Approaching local and global modelling.
Fuzzy Sets Syst., 2011
Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Using Takagi-Sugeno-Kang approximation fuzzy logic for evaluating the performance of color difference formulas in dentistry.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks.
Neural Comput. Appl., 2010
Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling.
Neurocomputing, 2010
New method for instance or prototype selection using mutual information in time series prediction.
Neurocomputing, 2010
Int. J. Hybrid Intell. Syst., 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification.
Appl. Artif. Intell., 2009
Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection.
Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009
Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2008
Studying possibility in a clustering algorithm for RBFNN design for function approximation.
Neural Comput. Appl., 2008
Neurocomputing, 2008
Fuzzy Sets Syst., 2008
2007
Neural Process. Lett., 2007
Neurocomputing, 2007
Neurocomputing, 2007
Neurocomputing, 2007
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms.
Int. J. Approx. Reason., 2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.
Proceedings of the Computational and Ambient Intelligence, 2007
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Artificial Neural Networks, 2007
A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application.
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time.
Fuzzy Sets Syst., 2006
Proceedings of the Rough Sets and Current Trends in Computing, 2006
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006
Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Proceedings of the Artificial Neural Networks, 2006
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy.
Fuzzy Sets Syst., 2005
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
Proceedings of the Rough Sets, 2005
Proceedings of the Rough Sets, 2005
Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005
Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
2004
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004
Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004