José Cristóbal Riquelme Santos

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 14

Top Venues

HAIS

Neurocomputing

SOCO

Artif. Intell. Medicine

Publications

Javier Solís-García, Belén Vega-Márquez, Juan A. Nepomuceno, José Cristóbal Riquelme Santos, Isabel A. Nepomuceno-Chamorro
Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study. Appl. Intell. 53 (24) (2023)
José María Luna-Romera, Manuel Carranza-García, David Gutiérrez-Avilés, José Cristóbal Riquelme Santos
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology. SOCO (2021)
Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José Manuel García-Heredia, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif. Intell. Medicine 110 (2020)
José David Martín-Fernández, José María Luna-Romera, Beatriz Pontes, José Cristóbal Riquelme Santos
Indexes to Find the Optimal Number of Clusters in a Hierarchical Clustering. SOCO (2019)
Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
On the evolutionary weighting of neighbours and features in the k-nearest neighbour rule. Neurocomputing (2019)
Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. Knowl. Based Syst. 153 (2018)
José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos
An approach to validity indices for clustering techniques in Big Data. Prog. Artif. Intell. 7 (2) (2018)
María Martínez-Ballesteros, José Manuel García-Heredia, Isabel A. Nepomuceno-Chamorro, José Cristóbal Riquelme Santos
Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. Inf. Fusion 36 (2017)
Laura Macías-García, José María Luna-Romera, Jorge García-Gutiérrez, María Martínez-Ballesteros, José Cristóbal Riquelme Santos, Ricardo González-Cámpora
A study of the suitability of autoencoders for preprocessing data in breast cancer experimentation. J. Biomed. Informatics 72 (2017)
José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark. CAEPIA (2016)
Jorge García-Gutiérrez, Eduardo González-Ferreiro, Daniel Mateos-García, José Cristóbal Riquelme Santos
A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. HAIS (2016)
Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos, Roberto Ruiz Sánchez
Merging subsets of attributes to improve a hybrid consistency-based filter: a case of study in product unit neural networks. Connect. Sci. 28 (3) (2016)
Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
An evolutionary voting for k-nearest neighbours. Expert Syst. Appl. 43 (2016)
Jorge García-Gutiérrez, Daniel Mateos-García, Mariano García, José Cristóbal Riquelme Santos
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion. Neurocomputing 163 (2015)
Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach. HAIS (2014)
Jorge García-Gutiérrez, Eduardo González-Ferreiro, José Cristóbal Riquelme Santos, David Miranda, Ulises Diéguez-Aranda, Rafael M. Navarro-Cerrillo
Evolutionary feature selection to estimate forest stand variables using LiDAR. Int. J. Appl. Earth Obs. Geoinformation 26 (2014)
Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos
Deleting or keeping outliers for classifier training? NaBIC (2014)
Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos
EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion. Neurocomputing 75 (1) (2012)
Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos
A Non-parametric Approach for Accurate Contextual Classification of LIDAR and Imagery Data Fusion. HAIS (2) (2012)
Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
On the evolutionary optimization of k-NN by label-dependent feature weighting. Pattern Recognit. Lett. 33 (16) (2012)
Jorge García-Gutiérrez, Eduardo González-Ferreiro, Daniel Mateos-García, José Cristóbal Riquelme Santos, David Miranda
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study. HAIS (2) (2011)
María Martínez-Ballesteros, José Cristóbal Riquelme Santos
Analysis of Measures of Quantitative Association Rules. HAIS (2) (2011)
Jorge García-Gutiérrez, Luis Gonçalves-Seco, José Cristóbal Riquelme Santos
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques. Expert Syst. Appl. 38 (6) (2011)
Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data. HAIS (2) (2010)
Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos
A SVM and k-NN Restricted Stacking to Improve Land Use and Land Cover Classification. HAIS (2) (2010)
José Cristóbal Riquelme Santos, Roberto Ruiz, Daniel Rodríguez
Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). JISBD (2009)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Jesús Manuel Riquelme-Santos
Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production. Eur. J. Oper. Res. 185 (3) (2008)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines. CBMS (2007)
Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos
Natural Encoding for Evolutionary Supervised Learning. IEEE Trans. Evol. Comput. 11 (4) (2007)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series. IDEAL (2007)
Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognit. 39 (12) (2006)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Data streams classification by incremental rule learning with parameterized generalization. SAC (2006)
José Cristóbal Riquelme Santos, Macario Polo, Jesús S. Aguilar-Ruiz, Mario Piattini, Francisco J. Ferrer-Troyano, Francisco Ruiz
A Comparison of Effort Estimation Methods for 4gl Programs: Experiences with Statistics and Data Mining. Int. J. Softw. Eng. Knowl. Eng. 16 (1) (2006)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Incremental Rule Learning and Border Examples Selection from Numerical Data Streams. J. Univers. Comput. Sci. 11 (8) (2005)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz
Analysis of Feature Rankings for Classification. IDA (2005)
Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Knowledge-based fast evaluation for evolutionary learning. IEEE Trans. Syst. Man Cybern. Part C 35 (2) (2005)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules. J. Univers. Comput. Sci. 11 (11) (2005)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Heuristic Search over a Ranking for Feature Selection. IWANN (2005)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Incremental rule learning based on example nearness from numerical data streams. SAC (2005)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Multidimensional Data Visual Exploration by Interactive Information Segments. DaWaK (2004)
Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Databases Reduction. ICEIS (2) (2004)
Victoria Pachón, Jacinto Mata Vázquez, Francisco Roche, José Cristóbal Riquelme Santos, Jose María Tejera
Practical Application of KDD Techniques to an Industrial Process. ICEIS (2) (2004)
Jesús S. Aguilar-Ruiz, Daniel Mateos, Raúl Giráldez, José Cristóbal Riquelme Santos
Statistical Test-Based Evolutionary Segmentation of Yeast Genome. GECCO (1) (2004)
Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos, Isabel Ramos
Applying Data Mining to Software Development Projects: A Case Study. ICEIS (2) (2004)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos
Data Mining For The Management Of Software Development Process. Int. J. Softw. Eng. Knowl. Eng. 14 (6) (2004)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Discovering decision rules from numerical data streams. SAC (2004)
Daniel Mateos, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Evolutionary segmentation of yeast genome. SAC (2004)
Jesús S. Aguilar-Ruiz, Francisco Azuaje, José Cristóbal Riquelme Santos
Data Mining Approaches to Diffuse Large B-Cell Lymphoma Gene Expression Data Interpretation. DaWaK (2004)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Wrapper for Ranking Feature Selection. IDEAL (2004)
Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Paul R. Cohen, José Cristóbal Riquelme Santos
Clustering Main Concepts from e-Mails. CAEPIA (2003)
Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
An Efficient Data Structure for Decision Rules Discovery. SAC (2003)
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
Time-Series Prediction: Application to the Short-Term Electric Energy Demand. CAEPIA (2003)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor. International Conference on Computational Science (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
NLC: A Measure Based on Projections. DEXA (2003)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Mining Low Dimensionality Data Streams of Continuous Attributes. EPIA (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Fast Feature Selection by Means of Projections. IEA/AIE (2003)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Reduccion de Bases de Datos. JISBD (2003)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Prototype-based Mining of Numeric Data Streams. SAC (2003)
José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Carmelo Del Valle
Supervised learning by means of accuracy-aware evolutionary algorithms. Inf. Sci. 156 (3-4) (2003)
José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro
Finding representative patterns with ordered projections. Pattern Recognit. 36 (4) (2003)
Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos, Isabel Ramos, Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano
Visualization Techniques of Management Rules for Software Development Projects. QSIC (2003)
Domingo S. Rodríguez, Jesús S. Aguilar-Ruiz, Paul R. Cohen, José Cristóbal Riquelme Santos
Minería de Textos y Datos aplicadas a la Extracción de Conocimiento a partir de Mensajes de Correo Electronico. JISBD (2003)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production. EPIA (2003)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos, Isabel Ramos
A Data Mining Method to Support Decision Making in Software Development Projects. ICEIS (2) (2003)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro
Evolutionary learning of hierarchical decision rules. IEEE Trans. Syst. Man Cybern. Part B 33 (2) (2003)
Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Natural Coding: A More Efficient Representation for Evolutionary Learning. GECCO (2003)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Fast Feature Ranking Algorithm. KES (2003)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, José Luís Martínez Ramos, Jesús Manuel Riquelme-Santos, Antonio Gómez Expósito
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production. CAEPIA (2003)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Isabel Ramos
Natural Evolutionary Coding: An Application to Estimating Software Development Projects. GECCO Late Breaking Papers (2002)
Alicia Troncoso Lora, Jesús Manuel Riquelme-Santos, José Cristóbal Riquelme Santos, Antonio Gómez Expósito, José Luís Martínez Ramos
A Comparison of Two Techniques for Next-Day Electricity Price Forecasting. IDEAL (2002)
Macario Polo, José Cristóbal Riquelme Santos, Mario Piattini, Jesús S. Aguilar-Ruiz, Francisco Ruiz, Francisco J. Ferrer-Troyano
Una comparativa de métodos para la estimación del esfuerzo en programmas 4GL: experiencias con Estadística y Minería de Datos. JISBD (2002)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Algoritmo de Aprendizaje de Reglas de Decisión a partir de Flujos de Datos Transaccionales. JISBD (2002)
Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Domingo S. Rodríguez
Discretization by Maximal Global Goodness. FSKD (2002)
José Cristóbal Riquelme Santos, Isabel Ramos, José Luis Álvarez Macías, Jacinto Mata Vázquez, Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano
Técnicas de Visualización de Reglas de Gestión para Proyectos de Desarrollo Software. JISBD (2002)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Mateos
Visualización de Consultas mediante Segementación de Dimensiones Significativas. JISBD (2002)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle
Improving the Evolutionary Coding for Machine Learning Tasks. ECAI (2002)
Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Projection-based measure for efficient feature selection. J. Intell. Fuzzy Syst. 12 (3-4) (2002)
Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos, José Luís Martínez Ramos, Antonio Gómez Expósito
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours. DEXA (2002)
Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos
Discovering Numeric Association Rules via Evolutionary Algorithm. PAKDD (2002)
Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA (2002)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos
Mining interesting regions using an evolutionary algorithm. SAC (2002)
Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Mateos
Indexación de Datos para la Evaluación Rápida de Reglas de Decisión. JISBD (2002)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Rodríguez, Isabel Ramos
Generation of Management Rules through System Dynamics and Evolutionary Computation. PROFES (2002)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos
Método de Inducción de Reglas de Clasificación Oblicuas Mediante un Algoritmo Evolutivo. Rev. Colomb. de Computación 3 (1) (2002)
D. S. Rodríquez, Francisco J. Ferrer-Troyano, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
Is it Possible to Find a Pattern of k for the Nearest Neighbor? IC-AI (2002)
Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos
An evolutionary algorithm to discover numeric association rules. SAC (2002)
Jesús S. Aguilar-Ruiz, Isabel Ramos, José Cristóbal Riquelme Santos, Miguel Toro
An evolutionary approach to estimating software development projects. Inf. Softw. Technol. 43 (14) (2001)
Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos
Non-parametric Nearest Neighbor with Local Adaptation. EPIA (2001)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro
Data set Editing by Ordered Projection. Intell. Data Anal. 5 (5) (2001)
Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez
SNN: A Supervised Clustering Algorithm. IEA/AIE (2001)
José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz
Separation Surfaces through Genetic Programming. IEA/AIE (2001)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos
OBLIC: Classification System Using Evolutionary Algorithm. IWANN (2) (2001)
José Cristóbal Riquelme Santos, Isabel Ramos, 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, Manoranjan Satpathy, Rachel Harrison, R. Matilla, M. A. Álvarez
SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software. JISBD (2001)
Rafael Corchuelo, Jesús S. Aguilar-Ruiz, José Luis Arjona, Miguel Toro, José Cristóbal Riquelme Santos
Orientando a Aspectos la captura de datos de Internet para activar Reglas de Decisión en Agentes Web. JISBD (2001)
Isabel Ramos, José Cristóbal Riquelme Santos, Javier Aroba Páez
Improvements in the Decision Making in Software Projects. ICEIS (1) (2001)
José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos
CGO3: An oblique classification system using an evolutionary algorithm and C4.5. Int. J. Comput. Syst. Signals 2 (1) (2001)
José Luis Álvarez Macías, José Cristóbal Riquelme Santos, Jacinto Mata Vázquez
Obtención de Reglas de Clasificación Semicualitativas utilizando Algoritmos Genéticos y el C4.5. IBERAMIA-SBIA 2000 Open Discussion Track (2000)
José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro
Discovering hierarchical decision rules with evolutive algorithms in supervised learning. Int. J. Comput. Syst. Signals 1 (1) (2000)
Isabel Ramos, Javier Aroba Páez, José Cristóbal Riquelme Santos
Mejoras en la Toma de Decisiones en Proyectos de Software. Aplicación de Téchnicas de Lógica Borrosa. JISBD (2000)
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro
Data Set Editing by Ordered Projection. ECAI (2000)

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Publication Activity (10 Years)

Top Topics

Top Venues

José Cristóbal Riquelme Santos