José Cristóbal Riquelme Santos
Orcid: 0000-0002-8243-2186Affiliations:
- University of Seville, Spain
According to our database1,
José Cristóbal Riquelme Santos
authored at least 185 papers
between 1997 and 2023.
Collaborative distances:
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Bibliography
2023
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study.
Appl. Intell., December, 2023
Log. J. IGPL, July, 2023
Neurocomputing, 2023
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Object detection using depth completion and camera-LiDAR fusion for autonomous driving.
Integr. Comput. Aided Eng., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.
Neurocomputing, 2021
Int. J. Neural Syst., 2021
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
2020
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning.
Pattern Anal. Appl., 2020
Asynchronous dual-pipeline deep learning framework for online data stream classification.
Integr. Comput. Aided Eng., 2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance.
Artif. Intell. Medicine, 2020
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
On the Performance of Deep Learning Models for Time Series Classification in Streaming.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
2019
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks.
Remote. Sens., 2019
Inf. Sci., 2019
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems.
Neurocomputing, 2019
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule.
Neurocomputing, 2019
Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning.
IEEE Access, 2019
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System.
IEEE Access, 2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
2018
Prog. Artif. Intell., 2018
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.
Knowl. Based Syst., 2018
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information.
Environ. Model. Softw., 2018
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation.
J. Biomed. Informatics, 2017
Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources.
Inf. Fusion, 2017
Comput. Intell. Neurosci., 2017
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
2016
Improving a multi-objective evolutionary algorithm to discover quantitative association rules.
Knowl. Inf. Syst., 2016
Neurocomputing, 2016
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks.
Connect. Sci., 2016
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Neurocomputing, 2015
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing, 2015
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion.
Neurocomputing, 2015
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets.
Integr. Comput. Aided Eng., 2015
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
2014
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning.
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014
Discovering gene association networks by multi-objective evolutionary quantitative association rules.
J. Comput. Syst. Sci., 2014
Neurocomputing, 2014
Neurocomputing, 2014
Int. J. Appl. Earth Obs. Geoinformation, 2014
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Preliminary comparison of techniques for dealing with imbalance in software defect prediction.
Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering, 2014
2013
Inf. Softw. Technol., 2013
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems.
Neurocomputing, 2013
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
Pattern Recognit. Lett., 2012
Inf. Sci., 2012
Neurocomputing, 2012
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches.
Expert Syst. Appl., 2012
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection.
Appl. Soft Comput., 2012
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
An evolutionary algorithm to discover quantitative association rules in multidimensional time series.
Soft Comput., 2011
Pattern Recognit. Lett., 2011
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques.
Expert Syst. Appl., 2011
Proceedings of the Search Based Software Engineering - Third International Symposium, 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection.
Proceedings of the New Challenges on Bioinspired Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Proceedings of the International Conference on Computational Science, 2010
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.
Integr. Comput. Aided Eng., 2010
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Evolutionary <i>q</i>-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición).
Proceedings of the XIV Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2009), 2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
A Two-Stage Zone Regression Method for Global Characterization of a Project Database.
Proceedings of the Database Technologies: Concepts, 2009
2008
Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production.
Eur. J. Oper. Res., 2008
Identificación de Fallos en Módulos Software.
Proceedings of the XIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2008), 2008
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
IEEE Trans. Evol. Comput., 2007
FACIL - An approach for classifying data streams by decision rules and border examples.
Monde des Util. Anal. Données, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
2006
Incremental wrapper-based gene selection from microarray data for cancer classification.
Pattern Recognit., 2006
A Comparison of Effort Estimation Methods for 4gl Programs: Experiences with Statistics and Data Mining.
Int. J. Softw. Eng. Knowl. Eng., 2006
Data streams classification by incremental rule learning with parameterized generalization.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
2005
IEEE Trans. Syst. Man Cybern. Part C, 2005
J. Univers. Comput. Sci., 2005
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules.
J. Univers. Comput. Sci., 2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
Int. J. Softw. Eng. Knowl. Eng., 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Databases Reduction.
Proceedings of the ICEIS 2004, 2004
Practical Application of KDD Techniques to an Industrial Process.
Proceedings of the ICEIS 2004, 2004
Applying Data Mining to Software Development Projects: A Case Study.
Proceedings of the ICEIS 2004, 2004
Proceedings of the Genetic and Evolutionary Computation, 2004
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004
2003
IEEE Trans. Syst. Man Cybern. Part B, 2003
Inf. Sci., 2003
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003
Proceedings of the 3rd International Conference on Quality Software (QSIC 2003), 2003
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
Reduccion de Bases de Datos.
Proceedings of the VIII Jornadas Ingeniería del Software y Bases de Datos (JISBD 2003), 2003
Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico.
Proceedings of the VIII Jornadas Ingeniería del Software y Bases de Datos (JISBD 2003), 2003
Proceedings of the Developments in Applied Artificial Intelligence, 2003
A Data Mining Method to Support Decision Making in Software Development Projects.
Proceedings of the ICEIS 2003, 2003
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor.
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Progress in Artificial Intelligence, 2003
Proceedings of the Progress in Artificial Intelligence, 2003
Proceedings of the Database and Expert Systems Applications, 14th International Conference, 2003
Proceedings of the Current Topics in Artificial Intelligence, 2003
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production.
Proceedings of the Current Topics in Artificial Intelligence, 2003
Proceedings of the Current Topics in Artificial Intelligence, 2003
2002
Método de Inducción de Reglas de Clasificación Oblicuas Mediante un Algoritmo Evolutivo.
Rev. Colomb. de Computación, 2002
J. Intell. Fuzzy Syst., 2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Proceedings of the Product Focused Software Process Improvement, 2002
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002
Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software.
Proceedings of the VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002), 2002
Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos.
Proceedings of the VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002), 2002
Indexación de Datos para la Evaluación Rápida de Reglas de Decisión.
Proceedings of the VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002), 2002
Visualización de Consultas mediante Segementación de Dimensiones Significativas.
Proceedings of the VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002), 2002
Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales.
Proceedings of the VII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2002), 2002
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002
Is it Possible to Find a Pattern of k for the Nearest Neighbor?
Proceedings of the International Conference on Artificial Intelligence, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
Natural Evolutionary Coding: An Application to Estimating Software Development Projects.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002
Discretization by Maximal Global Goodness.
Proceedings of the FSDK'02, 2002
Improving the Evolutionary Coding for Machine Learning Tasks.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours.
Proceedings of the Database and Expert Systems Applications, 13th International Conference, 2002
2001
J. Field Robotics, 2001
Inf. Softw. Technol., 2001
Int. J. Comput. Syst. Signals, 2001
SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software.
Proceedings of the VI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2001), 2001
Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web.
Proceedings of the VI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2001), 2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Engineering of Intelligent Systems, 2001
Proceedings of the Engineering of Intelligent Systems, 2001
Improvements in the Decision Making in Software Projects.
Proceedings of the ICEIS 2001, 2001
Proceedings of the Progress in Artificial Intelligence, 2001
2000
Discovering hierarchical decision rules with evolutive algorithms in supervised learning.
Int. J. Comput. Syst. Signals, 2000
Obtención de Reglas de Clasificación Semicualitativas utilizando Algoritmos Genéticos y el C4.5.
Proceedings of the International Joint Conference, 2000
Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa.
Proceedings of the V Jornadas Ingeniería de Software y Bases de Datos (JISBD 2000), 2000
1999
Three Geometric Approaches for representing Decision Rules in a Supervised Learning System.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999
1998
Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado.
Inteligencia Artif., 1998
Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998
Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998
Proceedings of the Progress in Artificial Intelligence, 1998
1997
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997