Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion. - José C. Riquelme; Miguel A. Ridao; Eduardo F. Camacho; Miguel Toro (ICANNGA, 1997)

Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Miguel Toro (IBERAMIA, 1998)

A Tool to Obtain a Hierarchical Qualitative Rules form Quantitative Data. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Miguel Toro (IEA/AIE (Vol. 1), 1998)

An Evolutionary and Local Search Algorithm for Planning Two Manipulators Motion. - Miguel A. Ridao; José Cristóbal Riquelme Santos; Eduardo F. Camacho; Miguel Toro (IEA/AIE (Vol. 2), 1998)

Overload Screening of Transmission Systems Using Neural Networks. - José Cristóbal Riquelme Santos; Antonio Gómez Expósito; Jose L. Martínez; João Abel Peças Lopes (IEA/AIE (Vol. 1), 1998)

Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado. - José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz; Miguel Toro (Inteligencia Artif., 1998)

Three Geometric Approaches for representing Decision Rules in a Supervised Learning System. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Miguel Toro (GECCO, 1999)

Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa. - Isabel Ramos 002; Javier Aroba Páez; José Cristóbal Riquelme Santos (JISBD, 2000)

Obtención de Reglas de Clasificación Semicualitativas utilizando Algoritmos Genéticos y el C4.5. - José Luis Álvarez Macías; José Cristóbal Riquelme Santos; Jacinto Mata Vázquez (IBERAMIA-SBIA 2000 Open Discussion Track, 2000)

Discovering hierarchical decision rules with evolutive algorithms in supervised learning. - José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz; Miguel Toro (Int. J. Comput. Syst. Signals, 2000)

Non-parametric Nearest Neighbor with Local Adaptation. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (EPIA, 2001)

Improvements in the Decision Making in Software Projects. - Isabel Ramos 002; José Cristóbal Riquelme Santos; Javier Aroba Páez (ICEIS (1), 2001)

SNN: A Supervised Clustering Algorithm. - Jesús S. Aguilar-Ruiz; Roberto Ruiz; José Cristóbal Riquelme Santos; Raúl Giráldez (IEA/AIE, 2001)

Separation Surfaces through Genetic Programming. - José Cristóbal Riquelme Santos; Raúl Giráldez; Jesús S. Aguilar-Ruiz; Roberto Ruiz (IEA/AIE, 2001)

OBLIC: Classification System Using Evolutionary Algorithm. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos (IWANN (2), 2001)

Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web. - Rafael Corchuelo; Jesús S. Aguilar-Ruiz; José Luis Arjona; Miguel Toro; José Cristóbal Riquelme Santos (JISBD, 2001)

SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software. - José Cristóbal Riquelme Santos; Isabel Ramos 002; Jesús S. Aguilar-Ruiz; Francisco J. Ferrer-Troyano; Miguel Toro; José Javier Dolado; A. Ruiz de Infante; Javier Tuya; P. Fernández; M. A. Prieto; Mercedes Ruiz-Carreira; Daniel Rodríguez-García; et al. (JISBD, 2001)

Data set Editing by Ordered Projection. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Miguel Toro (Intell. Data Anal., 2001)

CGO3: An oblique classification system using an evolutionary algorithm and C4.5. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos (Int. J. Comput. Syst. Signals, 2001)

An evolutionary approach to estimating software development projects. - Jesús S. Aguilar-Ruiz; Isabel Ramos 002; José Cristóbal Riquelme Santos; Miguel Toro (Inf. Softw. Technol., 2001)

An evolutionary and local search algorithm for motion planning of two manipulators. - Miguel A. Ridao; Eduardo F. Camacho; José C. Riquelme; Miguel Toro (J. Field Robotics, 2001)

Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours. - Alicia Troncoso Lora; José Cristóbal Riquelme Santos; Jesús Manuel Riquelme-Santos; José Luís Martínez Ramos; Antonio Gómez Expósito (DEXA, 2002)

Improving the Evolutionary Coding for Machine Learning Tasks. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Carmelo Del Valle (ECAI, 2002)

Discretization by Maximal Global Goodness. - Raúl Giráldez; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Domingo S. Rodríguez (FSKD, 2002)

Natural Evolutionary Coding: An Application to Estimating Software Development Projects. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Isabel Ramos 002 (GECCO Late Breaking Papers, 2002)

SOAP: Efficient Feature Selection of Numeric Attributes. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (IBERAMIA, 2002)

Is it Possible to Find a Pattern of k for the Nearest Neighbor? - D. S. Rodríquez; Francisco J. Ferrer-Troyano; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (IC-AI, 2002)

A Comparison of Two Techniques for Next-Day Electricity Price Forecasting. - Alicia Troncoso Lora; Jesús Manuel Riquelme-Santos; José Cristóbal Riquelme Santos; Antonio Gómez Expósito; José Luís Martínez Ramos (IDEAL, 2002)

Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (JISBD, 2002)

Visualización de Consultas mediante Segementación de Dimensiones Significativas. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Daniel Mateos (JISBD, 2002)

Indexación de Datos para la Evaluación Rápida de Reglas de Decisión. - Raúl Giráldez; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Daniel Mateos (JISBD, 2002)

Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos. - Macario Polo; José Cristóbal Riquelme Santos; Mario Piattini; Jesús S. Aguilar-Ruiz; Francisco Ruiz 001; Francisco J. Ferrer-Troyano (JISBD, 2002)

Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software. - José Cristóbal Riquelme Santos; Isabel Ramos 002; José Luis Álvarez Macías; Jacinto Mata Vázquez; Jesús S. Aguilar-Ruiz; Francisco J. Ferrer-Troyano (JISBD, 2002)

Discovering Numeric Association Rules via Evolutionary Algorithm. - Jacinto Mata Vázquez; José Luis Álvarez Macías; José Cristóbal Riquelme Santos (PAKDD, 2002)

Generation of Management Rules through System Dynamics and Evolutionary Computation. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Daniel Rodríguez 001; Isabel Ramos 002 (PROFES, 2002)

Mining interesting regions using an evolutionary algorithm. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos (SAC, 2002)

An evolutionary algorithm to discover numeric association rules. - Jacinto Mata Vázquez; José Luis Álvarez Macías; José Cristóbal Riquelme Santos (SAC, 2002)

Projection-based measure for efficient feature selection. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (J. Intell. Fuzzy Syst., 2002)

Método de Inducción de Reglas de Clasificación Oblicuas Mediante un Algoritmo Evolutivo. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos (Rev. Colomb. de Computación, 2002)

Clustering Main Concepts from e-Mails. - Jesús S. Aguilar-Ruiz; Domingo S. Rodríguez-Baena; Paul R. Cohen; José Cristóbal Riquelme Santos (CAEPIA, 2003)

Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production. - Alicia Troncoso Lora; José Cristóbal Riquelme Santos; José Luís Martínez Ramos; Jesús Manuel Riquelme-Santos; Antonio Gómez Expósito (CAEPIA, 2003)

Time-Series Prediction: Application to the Short-Term Electric Energy Demand. - Alicia Troncoso Lora; Jesús Manuel Riquelme-Santos; José Cristóbal Riquelme Santos; Antonio Gómez Expósito; José Luís Martínez Ramos (CAEPIA, 2003)

NLC: A Measure Based on Projections. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (DEXA, 2003)

Mining Low Dimensionality Data Streams of Continuous Attributes. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (EPIA, 2003)

Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production. - Alicia Troncoso Lora; José Cristóbal Riquelme Santos; José Luís Martínez Ramos; Jesús Manuel Riquelme-Santos; Antonio Gómez Expósito (EPIA, 2003)

Natural Coding: A More Efficient Representation for Evolutionary Learning. - Raúl Giráldez; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (GECCO, 2003)

Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (International Conference on Computational Science, 2003)

A Data Mining Method to Support Decision Making in Software Development Projects. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos; Isabel Ramos 002 (ICEIS (2), 2003)

Fast Feature Selection by Means of Projections. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (IEA/AIE, 2003)

Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico. - Domingo S. Rodríguez; Jesús S. Aguilar-Ruiz; Paul R. Cohen; José Cristóbal Riquelme Santos (JISBD, 2003)

Reduccion de Bases de Datos. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (JISBD, 2003)

Fast Feature Ranking Algorithm. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (KES, 2003)

Visualization Techniques of Management Rules for Software Development Projects. - Jacinto Mata Vázquez; José Luis Álvarez Macías; José Cristóbal Riquelme Santos; Isabel Ramos 002; Jesús S. Aguilar-Ruiz; Francisco J. Ferrer-Troyano (QSIC, 2003)

Prototype-based Mining of Numeric Data Streams. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (SAC, 2003)

An Efficient Data Structure for Decision Rules Discovery. - Raúl Giráldez; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (SAC, 2003)

Supervised learning by means of accuracy-aware evolutionary algorithms. - José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz; Carmelo Del Valle (Inf. Sci., 2003)

Finding representative patterns with ordered projections. - José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz; Miguel Toro (Pattern Recognit., 2003)

Evolutionary learning of hierarchical decision rules. - Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Miguel Toro (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. - Jesús S. Aguilar-Ruiz; Francisco Azuaje; José Cristóbal Riquelme Santos (DaWaK, 2004)

Multidimensional Data Visual Exploration by Interactive Information Segments. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (DaWaK, 2004)

Statistical Test-Based Evolutionary Segmentation of Yeast Genome. - Jesús S. Aguilar-Ruiz; Daniel Mateos; Raúl Giráldez; José Cristóbal Riquelme Santos (GECCO (1), 2004)

Applying Data Mining to Software Development Projects: A Case Study. - Jacinto Mata Vázquez; José Luis Álvarez Macías; José Cristóbal Riquelme Santos; Isabel Ramos 002 (ICEIS (2), 2004)

Practical Application of KDD Techniques to an Industrial Process. - Victoria Pachón; Jacinto Mata Vázquez; Francisco Roche; José Cristóbal Riquelme Santos; Jose María Tejera (ICEIS (2), 2004)

Databases Reduction. - Roberto Ruiz Sánchez; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (ICEIS (2), 2004)

Wrapper for Ranking Feature Selection. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (IDEAL, 2004)

Discovering decision rules from numerical data streams. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (SAC, 2004)

Evolutionary segmentation of yeast genome. - Daniel Mateos; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (SAC, 2004)

Data Mining For The Management Of Software Development Process. - José Luis Álvarez Macías; Jacinto Mata Vázquez; José Cristóbal Riquelme Santos (Int. J. Softw. Eng. Knowl. Eng., 2004)

Analysis of Feature Rankings for Classification. - Roberto Ruiz; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos; Norberto Díaz-Díaz (IDA, 2005)

Heuristic Search over a Ranking for Feature Selection. - Roberto Ruiz; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (IWANN, 2005)

Incremental rule learning based on example nearness from numerical data streams. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (SAC, 2005)

Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (J. Univers. Comput. Sci., 2005)

Incremental Rule Learning and Border Examples Selection from Numerical Data Streams. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (J. Univers. Comput. Sci., 2005)

Knowledge-based fast evaluation for evolutionary learning. - Raúl Giráldez; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (IEEE Trans. Syst. Man Cybern. Part C, 2005)

Data streams classification by incremental rule learning with parameterized generalization. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José Cristóbal Riquelme Santos (SAC, 2006)

Data Mining: Concepts and Trends. - José C. Riquelme; Roberto Ruiz; Karina Gilbert (Inteligencia Artif., 2006)

Special Issue: Data Mining. - Roberto Ruiz; Karina Gilbert; José C. Riquelme (Inteligencia Artif., 2006)

A Comparison of Effort Estimation Methods for 4gl Programs: Experiences with Statistics and Data Mining. - José Cristóbal Riquelme Santos; Macario Polo; Jesús S. Aguilar-Ruiz; Mario Piattini; Francisco J. Ferrer-Troyano; Francisco Ruiz 001 (Int. J. Softw. Eng. Knowl. Eng., 2006)

Incremental wrapper-based gene selection from microarray data for cancer classification. - Roberto Ruiz Sánchez; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (Pattern Recognit., 2006)

Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz (CBMS, 2007)

Partitioning-Clustering Techniques Applied to the Electricity Price Time Series. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José Cristóbal Riquelme Santos; Jesús Manuel Riquelme-Santos (IDEAL, 2007)

FACIL - An approach for classifying data streams by decision rules and border examples. - Francisco J. Ferrer-Troyano; Jesús S. Aguilar-Ruiz; José C. Riquelme (Monde des Util. Anal. Données, 2007)

Natural Encoding for Evolutionary Supervised Learning. - Jesús S. Aguilar-Ruiz; Raúl Giráldez; José Cristóbal Riquelme Santos (IEEE Trans. Evol. Comput., 2007)

LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme; Jesús S. Aguilar-Ruiz (ICDM, 2008)

Identificación de Fallos en Módulos Software. - José C. Riquelme; Roberto Ruiz; Daniel Rodríguez 001 (JISBD, 2008)

Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production. - Alicia Troncoso Lora; José Cristóbal Riquelme Santos; Jesús S. Aguilar-Ruiz; Jesús Manuel Riquelme-Santos (Eur. J. Oper. Res., 2008)

Best Agglomerative Ranked Subset for Feature Selection. - Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz (FSDM, 2008)

A Two-Stage Zone Regression Method for Global Characterization of a Project Database. - José Javier Dolado; Daniel Rodríguez-García; José Cristóbal Riquelme Santos; Francisco J. Ferrer-Troyano; Juan J. Cuadrado (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (IDA, 2009)

Quantitative Association Rules Applied to Climatological Time Series Forecasting. - María Martínez-Ballesteros; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (IDEAL, 2009)

Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). - José Cristóbal Riquelme Santos; Roberto Ruiz; Daniel Rodríguez 001 (JISBD, 2009)

A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS (2), 2010)

Label Dependent Evolutionary Feature Weighting for Remote Sensing Data. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (HAIS (2), 2010)

Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Pedro Antonio Gutiérrez; Roberto Ruiz; José C. Riquelme (ICANN (1), 2010)

Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; José C. Riquelme (IEA/AIE (1), 2010)

Inferring gene regression networks with model trees. - Isabel A. Nepomuceno-Chamorro; Jesús S. Aguilar-Ruiz; José C. Riquelme (BMC Bioinform., 2010)

Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution. - María Martínez-Ballesteros; Alicia Troncoso Lora; Francisco Martínez-Álvarez; José C. Riquelme (Integr. Comput. Aided Eng., 2010)

Knowledge representation and applied decision making (KREAM). - Daniel Rodríguez 001; José Javier Dolado; José C. Riquelme; Roberto Ruiz; Miguel-Ángel Sicilia (ICCS, 2010)

Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (CAEPIA, 2011)

Multiobjective simulation optimisation in software project management. - Daniel Rodríguez 001; Mercedes Ruiz-Carreira; José C. Riquelme; Rachel Harrison (GECCO, 2011)

A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; Daniel Mateos-García; José Cristóbal Riquelme Santos; David Miranda (HAIS (2), 2011)

Computational Intelligence Techniques for Predicting Earthquakes. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; A. Morales-Esteban; José C. Riquelme (HAIS (2), 2011)

Analysis of Measures of Quantitative Association Rules. - María Martínez-Ballesteros; José Cristóbal Riquelme Santos (HAIS (2), 2011)

Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms. - María Martínez-Ballesteros; Cristina Rubio-Escudero; José C. Riquelme; Francisco Martínez-Álvarez (ICAART (1), 2011)

Triclustering on temporary microarray data using the TriGen algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (ISDA, 2011)

Inferring gene-gene associations from Quantitative Association Rules. - María Martínez-Ballesteros; Isabel A. Nepomuceno-Chamorro; José C. Riquelme (ISDA, 2011)

On the use of algorithms to discover motifs in DNA sequences. - Cristina Rubio-Escudero; Francisco Martínez-Álvarez; María Martínez-Ballesteros; José C. Riquelme (ISDA, 2011)

Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (IWINAC (2), 2011)

Revisiting the yeast cell cycle problem with the improved TriGen algorithm. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; José C. Riquelme (NaBIC, 2011)

Subgroup Discovery for Defect Prediction. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Rachel Harrison (SSBSE, 2011)

Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques. - Jorge García-Gutiérrez; Luis Gonçalves-Seco; José Cristóbal Riquelme Santos (Expert Syst. Appl., 2011)

Discovery of motifs to forecast outlier occurrence in time series. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme; Jesús S. Aguilar-Ruiz (Pattern Recognit. Lett., 2011)

An evolutionary algorithm to discover quantitative association rules in multidimensional time series. - María Martínez-Ballesteros; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (Soft Comput., 2011)

Energy Time Series Forecasting Based on Pattern Sequence Similarity. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme; Jesús S. Aguilar-Ruiz (IEEE Trans. Knowl. Data Eng., 2011)

A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS (2), 2012)

A Kernel for Time Series Classification: Application to Atmospheric Pollutants. - Marta Arias; Alicia Troncoso Lora; José C. Riquelme (SOCO, 2012)

Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. - Francisco Fernández-Navarro; César Hervás-Martínez; Roberto Ruiz; José C. Riquelme (Appl. Soft Comput., 2012)

Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. - Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz; Miguel García-Torres (Expert Syst. Appl., 2012)

EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (Neurocomputing, 2012)

Searching for rules to detect defective modules: A subgroup discovery approach. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Jesús S. Aguilar-Ruiz (Inf. Sci., 2012)

On the evolutionary optimization of k-NN by label-dependent feature weighting. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Pattern Recognit. Lett., 2012)

ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules. - María Martínez-Ballesteros; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (HAIS, 2013)

A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (SOCO-CISIS-ICEUTE, 2013)

Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. - Antonio J. Tallón-Ballesteros; César Hervás-Martínez; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2013)

A study of subgroup discovery approaches for defect prediction. - Daniel Rodríguez 001; Roberto Ruiz; José C. Riquelme; Rachel Harrison (Inf. Softw. Technol., 2013)

Preliminary comparison of techniques for dealing with imbalance in software defect prediction. - Daniel Rodríguez 001; Israel Herraiz; Rachel Harrison; José Javier Dolado; José C. Riquelme (EASE, 2014)

Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach. - Jorge García-Gutiérrez; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS, 2014)

Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IDEAL, 2014)

Deleting or keeping outliers for classifier training? - Antonio J. Tallón-Ballesteros; José Cristóbal Riquelme Santos (NaBIC, 2014)

Evolutionary feature selection to estimate forest stand variables using LiDAR. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; José Cristóbal Riquelme Santos; David Miranda; Ulises Diéguez-Aranda; Rafael M. Navarro-Cerrillo (Int. J. Appl. Earth Obs. Geoinformation, 2014)

TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. - David Gutiérrez-Avilés; Cristina Rubio-Escudero; Francisco Martínez-Álvarez; José C. Riquelme (Neurocomputing, 2014)

Selecting the best measures to discover quantitative association rules. - María Martínez-Ballesteros; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (Neurocomputing, 2014)

Discovering gene association networks by multi-objective evolutionary quantitative association rules. - María Martínez-Ballesteros; Isabel A. Nepomuceno-Chamorro; José C. Riquelme (J. Comput. Syst. Sci., 2014)

Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning. - Antonio J. Tallón-Ballesteros; José C. Riquelme (Computational Intelligence in Digital Forensics, 2014)

Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IWINAC (2), 2015)

Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets. - María Martínez-Ballesteros; Jaume Bacardit; Alicia Troncoso Lora; José C. Riquelme (Integr. Comput. Aided Eng., 2015)

An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion. - Jorge García-Gutiérrez; Daniel Mateos-García; Mariano García; José Cristóbal Riquelme Santos (Neurocomputing, 2015)

A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. - Jorge García-Gutiérrez; Francisco Martínez-Álvarez; Alicia Troncoso Lora; José C. Riquelme (Neurocomputing, 2015)

A multi-scale smoothing kernel for measuring time-series similarity. - Alicia Troncoso Lora; Marta Arias; José C. Riquelme (Neurocomputing, 2015)

An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. - José María Luna-Romera; María del Mar Martínez-Ballesteros; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (CAEPIA, 2016)

A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. - Jorge García-Gutiérrez; Eduardo González-Ferreiro; Daniel Mateos-García; José Cristóbal Riquelme Santos (HAIS, 2016)

Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz Sánchez (HAIS, 2016)

Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. - Antonio J. Tallón-Ballesteros; José Cristóbal Riquelme Santos; Roberto Ruiz Sánchez (Connect. Sci., 2016)

An evolutionary voting for k-nearest neighbours. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Expert Syst. Appl., 2016)

Obtaining optimal quality measures for quantitative association rules. - María Martínez-Ballesteros; Alicia Troncoso; Francisco Martínez-Álvarez; José C. Riquelme (Neurocomputing, 2016)

Improving a multi-objective evolutionary algorithm to discover quantitative association rules. - María Martínez-Ballesteros; Alicia Troncoso Lora; Francisco Martínez-Álvarez; José C. Riquelme (Knowl. Inf. Syst., 2016)

Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap. - Antonio J. Tallón-Ballesteros; José C. Riquelme (IWINAC (2), 2017)

Applications of Computational Intelligence in Time Series. - Francisco Martínez-Álvarez; Alicia Troncoso; Jorge Reyes; María Martínez-Ballesteros; José C. Riquelme (Comput. Intell. Neurosci., 2017)

Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. - María Martínez-Ballesteros; José Manuel García-Heredia; Isabel A. Nepomuceno-Chamorro; José Cristóbal Riquelme Santos (Inf. Fusion, 2017)

A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. - Laura Macías-García; José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos; Ricardo González-Cámpora (J. Biomed. Informatics, 2017)

Volume, variety and velocity in Data Science. - Amparo Alonso-Betanzos; José A. Gámez 001; Francisco Herrera; José M. Puerta; José C. Riquelme (Knowl. Based Syst., 2017)

SmartFD: A Real Big Data Application for Electrical Fraud Detection. - David Gutiérrez-Avilés; J. A. Fábregas; J. Tejedor; Francisco Martínez-Álvarez; Alicia Troncoso; A. Arcos; José C. Riquelme (HAIS, 2018)

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. - Cristina Rubio-Escudero; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso; José C. Riquelme (SOCO-CISIS-ICEUTE, 2018)

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. - Álvaro Gómez-Losada; Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; José C. Riquelme (Environ. Model. Softw., 2018)

MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. - Diana Martín; María Martínez-Ballesteros; Diego García-Gil; Jesús Alcalá-Fdez; Francisco Herrera; José Cristóbal Riquelme Santos (Knowl. Based Syst., 2018)

An approach to validity indices for clustering techniques in Big Data. - José María Luna-Romera; Jorge García-Gutiérrez; María Martínez-Ballesteros; José Cristóbal Riquelme Santos (Prog. Artif. Intell., 2018)

Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. - José David Martín-Fernández; José María Luna-Romera; Beatriz Pontes; José Cristóbal Riquelme Santos (SOCO, 2019)

Creation of Synthetic Data with Conditional Generative Adversarial Networks. - Belén Vega-Márquez; Cristina Rubio-Escudero; José C. Riquelme; Isabel A. Nepomuceno-Chamorro (SOCO, 2019)

A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. - Catalina Gomez-Quiles; Gualberto Asencio-Cortés; Adolfo Gastalver-Rubio; Francisco Martínez-Álvarez; Alicia Troncoso; Joan Manresa; José C. Riquelme; Jesús Manuel Riquelme-Santos (IEEE Access, 2019)

Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning. - José María Luna-Romera; Fernando Núñez-Hernández; María Martínez-Ballesteros; José C. Riquelme; Carlos Usabiaga (IEEE Access, 2019)

On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule. - Daniel Mateos-García; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Neurocomputing, 2019)

Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Neurocomputing, 2019)

External clustering validity index based on chi-squared statistical test. - José María Luna-Romera; María Martínez-Ballesteros; Jorge García-Gutiérrez; José C. Riquelme (Inf. Sci., 2019)

A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. - Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (Remote. Sens., 2019)

On the Performance of Deep Learning Models for Time Series Classification in Streaming. - Pedro Lara-Benítez; Manuel Carranza-García; Francisco Martínez-Álvarez; José C. Riquelme (SOCO, 2020)

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. - Miguel Ángel Molina; Gualberto Asencio-Cortés; José C. Riquelme; Francisco Martínez-Álvarez (SOCO, 2020)

Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. - Laura Macías-García; María Martínez-Ballesteros; José María Luna-Romera; José Manuel García-Heredia; Jorge García-Gutiérrez; José Cristóbal Riquelme Santos (Artif. Intell. Medicine, 2020)

Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. - Francisco Martínez-Álvarez; Gualberto Asencio-Cortés; José F. Torres; David Gutiérrez-Avilés; Laura Melgar-García; Rubén Pérez-Chacón; Cristina Rubio-Escudero; José C. Riquelme; Alicia Troncoso Lora (Big Data, 2020)

Asynchronous dual-pipeline deep learning framework for online data stream classification. - Pedro Lara-Benítez; Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (Integr. Comput. Aided Eng., 2020)

Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. - Antonio J. Tallón-Ballesteros; José C. Riquelme; Roberto Ruiz (Pattern Anal. Appl., 2020)

Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. - Manuel Carranza-García; Pedro Lara-Benítez; José María Luna-Romera; José C. Riquelme (SOCO, 2021)

Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. - José María Luna-Romera; Manuel Carranza-García; David Gutiérrez-Avilés; José Cristóbal Riquelme Santos (SOCO, 2021)

An Experimental Review on Deep Learning Architectures for Time Series Forecasting. - Pedro Lara-Benítez; Manuel Carranza-García; José C. Riquelme (Int. J. Neural Syst., 2021)

Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. - Manuel Carranza-García; Pedro Lara-Benítez; Jorge García-Gutiérrez; José C. Riquelme (Neurocomputing, 2021)

OCEAn: Ordinal classification with an ensemble approach. - Belén Vega-Márquez; Isabel A. Nepomuceno-Chamorro; Cristina Rubio-Escudero; José C. Riquelme (Inf. Sci., 2021)

Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. - Tomás Cabello-López; Manuel Cañizares-Juan; Manuel Carranza-García; Jorge García-Gutiérrez; José C. Riquelme (HAIS, 2022)

Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving. - Manuel Carranza-García; José C. Riquelme; Avideh Zakhor (ICIP, 2022)

Object detection using depth completion and camera-LiDAR fusion for autonomous driving. - Manuel Carranza-García; Francisco Javier Galán-Sales; José María Luna-Romera; José C. Riquelme (Integr. Comput. Aided Eng., 2022)

Simultaneous Evolutionary Optimization of Features Subset and Clusters Number. - José David Martín-Fernández; Beatriz Pontes; José C. Riquelme (GECCO Companion, 2023)

A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma. - Maria Lourdes Linares-Barrera; María Martínez-Ballesteros; José Manuel García-Heredia; José C. Riquelme (HAIS, 2023)

Efficient Short-Term Time Series Forecasting with Regression Trees. - Pablo Reina-Jiménez; Manuel Carranza-García; José María Luna-Romera; José C. Riquelme (SOCO (2), 2023)

Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. - Belén Vega-Márquez; Juan Pardo-Martínez; María del Mar Villegas-Oliva; José C. Riquelme (SOCO (1), 2023)

Short-term solar irradiance forecasting in streaming with deep learning. - Pedro Lara-Benítez; Manuel Carranza-García; José María Luna-Romera; José C. Riquelme (Neurocomputing, 2023)

Data streams classification using deep learning under different speeds and drifts. - Pedro Lara-Benítez; Manuel Carranza-García; David Gutiérrez-Avilés; José C. Riquelme (Log. J. IGPL, 2023)

Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. - Javier Solís-García; Belén Vega-Márquez; Juan A. Nepomuceno; José Cristóbal Riquelme Santos; Isabel A. Nepomuceno-Chamorro (Appl. Intell., 2023)

Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting. - Maria Lourdes Linares-Barrera; Manuel Jesús Jiménez-Navarro; José C. Riquelme; María Martínez-Ballesteros (CAEPIA, 2024)

Evolutionary Feature Selection for Time-Series Forecasting. - Maria Lourdes Linares-Barrera; Manuel Jesús Jiménez-Navarro; Isabel Sofia Brito; José C. Riquelme; María Martínez-Ballesteros (SAC, 2024)

Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning. - Miguel Campos-Romero; Manuel Carranza-García; José C. Riquelme (Eng. Appl. Artif. Intell., 2024)