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ORCIDJosé Cristóbal Riquelme Santos
José C. Riquelme
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- affiliation: University of Seville, Spain
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2020 – today
- 2024
[j72]Miguel Campos-Romero
, Manuel Carranza-García, José C. Riquelme:
Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning. Eng. Appl. Artif. Intell. 137: 109088 (2024)- [c115]Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, José C. Riquelme, María Martínez-Ballesteros:
Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting. CAEPIA 2024: 81-90 - [c114]Maria Lourdes Linares-Barrera, Manuel Jesús Jiménez-Navarro, Isabel Sofia Brito, José C. Riquelme, María Martínez-Ballesteros:
Evolutionary Feature Selection for Time-Series Forecasting. SAC 2024: 395-399 - [e4]Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso:
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings. Lecture Notes in Computer Science 14640, Springer 2024, ISBN 978-3-031-62798-9 [contents] - 2023
- [j71]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): 30691-30705 (2023) - [j70]Pedro Lara-Benítez, Manuel Carranza-García, David Gutiérrez-Avilés, José C. Riquelme:
Data streams classification using deep learning under different speeds and drifts. Log. J. IGPL 31(4): 688-700 (2023) - [j69]Pedro Lara-Benítez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme:
Short-term solar irradiance forecasting in streaming with deep learning. Neurocomputing 546: 126312 (2023) - [c113]José David Martín-Fernández, Beatriz Pontes, José C. Riquelme:
Simultaneous Evolutionary Optimization of Features Subset and Clusters Number. GECCO Companion 2023: 307-310 - [c112]Maria Lourdes Linares-Barrera, María Martínez-Ballesteros, José Manuel García-Heredia, José C. Riquelme:
A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma. HAIS 2023: 731-742 - [c111]Pablo Reina-Jiménez, Manuel Carranza-García, José María Luna-Romera, José C. Riquelme:
Efficient Short-Term Time Series Forecasting with Regression Trees. SOCO (2) 2023: 101-110 - [c110]Belén Vega-Márquez, Juan Pardo-Martínez, María del Mar Villegas-Oliva, José C. Riquelme:
Forecasting Greenhouse Temperature Using Machine Learning Models: Optimizing Crop Production in Andalucia. SOCO (1) 2023: 239-248 - 2022
- [j68]Manuel Carranza-García, Francisco Javier Galán-Sales, José María Luna-Romera, José C. Riquelme:
Object detection using depth completion and camera-LiDAR fusion for autonomous driving. Integr. Comput. Aided Eng. 29(3): 241-258 (2022) - [c109]Tomás Cabello-López, Manuel Cañizares-Juan, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation. HAIS 2022: 133-140 - [c108]Manuel Carranza-García, José C. Riquelme, Avideh Zakhor:
Temporal Axial Attention For Lidar-Based 3d Object Detection In Autonomous Driving. ICIP 2022: 201-205 - 2021
- [j67]Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme:
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. Int. J. Neural Syst. 31(3): 2130001:1-2130001:28 (2021) - [j66]Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance. Neurocomputing 449: 229-244 (2021) - [j65]Belén Vega-Márquez, Isabel A. Nepomuceno-Chamorro, Cristina Rubio-Escudero, José C. Riquelme:
OCEAn: Ordinal classification with an ensemble approach. Inf. Sci. 580: 221-242 (2021) - [c107]Manuel Carranza-García, Pedro Lara-Benítez, José María Luna-Romera, José C. Riquelme:
Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting. SOCO 2021: 654-664 - [c106]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: 706-716 - [e3]Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino:
Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12882, Springer 2021, ISBN 978-3-030-85712-7 [contents] - [i4]Pedro Lara-Benítez, Manuel Carranza-García, José C. Riquelme:
An Experimental Review on Deep Learning Architectures for Time Series Forecasting. CoRR abs/2103.12057 (2021) - [i3]Manuel Carranza-García, Pedro Lara-Benítez, Jorge García-Gutiérrez, José C. Riquelme:
Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance. CoRR abs/2104.03888 (2021) - 2020
- [j64]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: 101976 (2020) - [j63]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:
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model. Big Data 8(4): 308-322 (2020) - [j62]Pedro Lara-Benítez, Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
Asynchronous dual-pipeline deep learning framework for online data stream classification. Integr. Comput. Aided Eng. 27(2): 101-119 (2020) - [j61]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Filter-based feature selection in the context of evolutionary neural networks in supervised machine learning. Pattern Anal. Appl. 23(1): 467-491 (2020) - [c105]Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
On the Performance of Deep Learning Models for Time Series Classification in Streaming. SOCO 2020: 144-154 - [c104]Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez:
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets. SOCO 2020: 741-750 - [i2]Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme:
On the performance of deep learning models for time series classification in streaming. CoRR abs/2003.02544 (2020) - [i1]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:
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model. CoRR abs/2003.13633 (2020)
2010 – 2019
- 2019
- [j60]Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos:
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System. IEEE Access 7: 120840-120856 (2019) - [j59]José María Luna-Romera, Fernando Núñez-Hernández, María Martínez-Ballesteros, José C. Riquelme, Carlos Usabiaga:
Analysis of the Evolution of the Spanish Labour Market Through Unsupervised Learning. IEEE Access 7: 121695-121708 (2019) - [j58]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 326-327: 54-60 (2019) - [j57]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz:
Semi-wrapper feature subset selector for feed-forward neural networks: Applications to binary and multi-class classification problems. Neurocomputing 353: 28-44 (2019) - [j56]José María Luna-Romera, María Martínez-Ballesteros, Jorge García-Gutiérrez, José C. Riquelme:
External clustering validity index based on chi-squared statistical test. Inf. Sci. 487: 1-17 (2019) - [j55]Manuel Carranza-García, Jorge García-Gutiérrez, José C. Riquelme:
A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks. Remote. Sens. 11(3): 274 (2019) - [c103]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: 3-13 - [c102]Belén Vega-Márquez, Cristina Rubio-Escudero, José C. Riquelme, Isabel A. Nepomuceno-Chamorro:
Creation of Synthetic Data with Conditional Generative Adversarial Networks. SOCO 2019: 231-240 - 2018
- [j54]Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, José C. Riquelme:
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information. Environ. Model. Softw. 110: 52-61 (2018) - [j53]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: 176-192 (2018) - [j52]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): 81-94 (2018) - [c101]David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme:
SmartFD: A Real Big Data Application for Electrical Fraud Detection. HAIS 2018: 120-130 - [c100]Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme:
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses. SOCO-CISIS-ICEUTE 2018: 553-561 - 2017
- [j51]Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme:
Applications of Computational Intelligence in Time Series. Comput. Intell. Neurosci. 2017: 9361749:1-9361749:2 (2017) - [j50]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: 114-129 (2017) - [j49]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: 33-44 (2017) - [j48]Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José Miguel Puerta, José C. Riquelme:
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117: 1-2 (2017) - [c99]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Low Dimensionality or Same Subsets as a Result of Feature Selection: An In-Depth Roadmap. IWINAC (2) 2017: 531-539 - 2016
- [j47]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): 242-257 (2016) - [j46]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
An evolutionary voting for k-nearest neighbours. Expert Syst. Appl. 43: 9-14 (2016) - [j45]María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme:
Obtaining optimal quality measures for quantitative association rules. Neurocomputing 176: 36-47 (2016) - [j44]María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme:
Improving a multi-objective evolutionary algorithm to discover quantitative association rules. Knowl. Inf. Syst. 49(2): 481-509 (2016) - [c98]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: 160-169 - [c97]Antonio J. Tallón-Ballesteros, José C. Riquelme, Roberto Ruiz Sánchez:
Accuracy Increase on Evolving Product Unit Neural Networks via Feature Subset Selection. HAIS 2016: 136-148 - [c96]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: 588-596 - 2015
- [j43]María Martínez-Ballesteros, Jaume Bacardit, Alicia Troncoso Lora, José C. Riquelme:
Enhancing the scalability of a genetic algorithm to discover quantitative association rules in large-scale datasets. Integr. Comput. Aided Eng. 22(1): 21-39 (2015) - [j42]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: 17-24 (2015) - [j41]Alicia Troncoso Lora, Marta Arias, José C. Riquelme:
A multi-scale smoothing kernel for measuring time-series similarity. Neurocomputing 167: 8-17 (2015) - [j40]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables. Neurocomputing 167: 24-31 (2015) - [c95]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach. IWINAC (2) 2015: 369-378 - 2014
- [j39]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: 119-131 (2014) - [j38]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Selecting the best measures to discover quantitative association rules. Neurocomputing 126: 3-14 (2014) - [j37]David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme:
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data. Neurocomputing 132: 42-53 (2014) - [j36]María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme:
Discovering gene association networks by multi-objective evolutionary quantitative association rules. J. Comput. Syst. Sci. 80(1): 118-136 (2014) - [c94]Daniel Rodríguez, Israel Herraiz, Rachel Harrison, José Javier Dolado, José C. Riquelme:
Preliminary comparison of techniques for dealing with imbalance in software defect prediction. EASE 2014: 43:1-43:10 - [c93]Jorge García-Gutiérrez, Daniel Mateos-García, José Cristóbal Riquelme Santos:
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach. HAIS 2014: 296-305 - [c92]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Tackling Ant Colony Optimization Meta-Heuristic as Search Method in Feature Subset Selection Based on Correlation or Consistency Measures. IDEAL 2014: 386-393 - [c91]Antonio J. Tallón-Ballesteros, José Cristóbal Riquelme Santos:
Deleting or keeping outliers for classifier training? NaBIC 2014: 281-286 - [p2]Antonio J. Tallón-Ballesteros, José C. Riquelme:
Data Mining Methods Applied to a Digital Forensics Task for Supervised Machine Learning. Computational Intelligence in Digital Forensics 2014: 413-428 - 2013
- [j35]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. Neurocomputing 114: 107-117 (2013) - [j34]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison:
A study of subgroup discovery approaches for defect prediction. Inf. Softw. Technol. 55(10): 1810-1822 (2013) - [c90]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules. HAIS 2013: 578-587 - [c89]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study. SOCO-CISIS-ICEUTE 2013: 249-258 - 2012
- [j33]Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme:
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 12(6): 1787-1800 (2012) - [j32]Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz, Miguel García-Torres:
Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches. Expert Syst. Appl. 39(12): 11094-11102 (2012) - [j31]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): 115-122 (2012) - [j30]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Searching for rules to detect defective modules: A subgroup discovery approach. Inf. Sci. 191: 14-30 (2012) - [j29]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): 2232-2238 (2012) - [c88]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: 455-466 - [c87]Marta Arias, Alicia Troncoso Lora, José C. Riquelme:
A Kernel for Time Series Classification: Application to Atmospheric Pollutants. SOCO 2012: 417-426 - 2011
- [j28]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): 6805-6813 (2011) - [j27]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Discovery of motifs to forecast outlier occurrence in time series. Pattern Recognit. Lett. 32(12): 1652-1665 (2011) - [j26]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
An evolutionary algorithm to discover quantitative association rules in multidimensional time series. Soft Comput. 15(10): 2065-2084 (2011) - [j25]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Energy Time Series Forecasting Based on Pattern Sequence Similarity. IEEE Trans. Knowl. Data Eng. 23(8): 1230-1243 (2011) - [c86]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Unravelling the Yeast Cell Cycle Using the TriGen Algorithm. CAEPIA 2011: 155-163 - [c85]Daniel Rodríguez, Mercedes Ruiz-Carreira, José C. Riquelme, Rachel Harrison:
Multiobjective simulation optimisation in software project management. GECCO 2011: 1883-1890 - [c84]Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban, José C. Riquelme:
Computational Intelligence Techniques for Predicting Earthquakes. HAIS (2) 2011: 287-294 - [c83]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: 311-318 - [c82]María Martínez-Ballesteros, José Cristóbal Riquelme Santos:
Analysis of Measures of Quantitative Association Rules. HAIS (2) 2011: 319-326 - [c81]María Martínez-Ballesteros, Cristina Rubio-Escudero, José C. Riquelme, Francisco Martínez-Álvarez:
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms. ICAART (1) 2011: 574-577 - [c80]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Triclustering on temporary microarray data using the TriGen algorithm. ISDA 2011: 877-881 - [c79]Cristina Rubio-Escudero, Francisco Martínez-Álvarez, María Martínez-Ballesteros, José C. Riquelme:
On the use of algorithms to discover motifs in DNA sequences. ISDA 2011: 1074-1079 - [c78]María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José C. Riquelme:
Inferring gene-gene associations from Quantitative Association Rules. ISDA 2011: 1241-1246 - [c77]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) 2011: 381-390 - [c76]David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme:
Revisiting the yeast cell cycle problem with the improved TriGen algorithm. NaBIC 2011: 515-520 - [c75]Daniel Rodríguez, Roberto Ruiz, José C. Riquelme, Rachel Harrison:
Subgroup Discovery for Defect Prediction. SSBSE 2011: 269-270 - 2010
- [j24]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme:
Inferring gene regression networks with model trees. BMC Bioinform. 11: 517 (2010) - [j23]María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme:
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution. Integr. Comput. Aided Eng. 17(3): 227-242 (2010) - [c74]Daniel Mateos-García, Jorge García-Gutiérrez, José Cristóbal Riquelme Santos:
Label Dependent Evolutionary Feature Weighting for Remote Sensing Data. HAIS (2) 2010: 272-279 - [c73]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: 493-500 - [c72]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme:
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) 2010: 327-336 - [c71]Jorge García-Gutiérrez, Francisco Martínez-Álvarez, José C. Riquelme:
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps. IEA/AIE (1) 2010: 378-387 - [c70]Daniel Rodríguez, José Javier Dolado, José C. Riquelme, Roberto Ruiz, Miguel-Ángel Sicilia:
Knowledge representation and applied decision making (KREAM). ICCS 2010: 2271
2000 – 2009
- 2009
- [c69]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. IDA 2009: 357-368 - [c68]María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme:
Quantitative Association Rules Applied to Climatological Time Series Forecasting. IDEAL 2009: 284-291 - [c67]José Cristóbal Riquelme Santos, Roberto Ruiz, Daniel Rodríguez:
Apoyo a la Decisión en Ingeniería del Software (ADIS, 9ª edición). JISBD 2009: 426-426 - [p1]José Javier Dolado, Daniel Rodríguez-García, José Cristóbal Riquelme Santos, Francisco J. Ferrer-Troyano, Juan J. Cuadrado:
A Two-Stage Zone Regression Method for Global Characterization of a Project Database. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2000-2009 - 2008
- [j22]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): 1114-1127 (2008) - [c66]Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz:
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series. ICDM 2008: 453-461 - [c65]José C. Riquelme, Roberto Ruiz, Daniel Rodríguez:
Identificación de Fallos en Módulos Software. JISBD 2008: 195-204 - [c64]Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Best Agglomerative Ranked Subset for Feature Selection. FSDM 2008: 148-162 - 2007
- [j21]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José C. Riquelme:
FACIL - An approach for classifying data streams by decision rules and border examples. Monde des Util. Anal. Données 36: 92-101 (2007) - [j20]Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos:
Natural Encoding for Evolutionary Supervised Learning. IEEE Trans. Evol. Comput. 11(4): 466-479 (2007) - [c63]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: 141-146 - [c62]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: 990-999 - 2006
- [j19]Roberto Ruiz, Karina Gilbert, José C. Riquelme:
Special Issue: Data Mining. Inteligencia Artif. 10(29): 7-9 (2006) - [j18]José C. Riquelme, Roberto Ruiz, Karina Gilbert:
Data Mining: Concepts and Trends. Inteligencia Artif. 10(29): 11-18 (2006) - [j17]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): 127-140 (2006) - [j16]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): 2383-2392 (2006) - [c61]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Data streams classification by incremental rule learning with parameterized generalization. SAC 2006: 657-661 - [e2]José Cristóbal Riquelme Santos, Pere Botella:
XI Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2006), Octubre 3-6, 2006, Sitges, Barcelona, Spain. 2006, ISBN 84-95999-99-4 [contents] - 2005
- [j15]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): 1426-1439 (2005) - [j14]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): 1835-1848 (2005) - [j13]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): 254-261 (2005) - [c60]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification. IDA 2005: 362-372 - [c59]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Heuristic Search over a Ranking for Feature Selection. IWANN 2005: 742-749 - [c58]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: 568-572 - 2004
- [j12]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): 665-695 (2004) - [c57]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Multidimensional Data Visual Exploration by Interactive Information Segments. DaWaK 2004: 239-248 - [c56]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: 279-288 - [c55]Jesús S. Aguilar-Ruiz, Daniel Mateos, Raúl Giráldez, José Cristóbal Riquelme Santos:
Statistical Test-Based Evolutionary Segmentation of Yeast Genome. GECCO (1) 2004: 493-494 - [c54]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: 54-60 - [c53]Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Databases Reduction. ICEIS (2) 2004: 98-103 - [c52]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: 309-314 - [c51]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Wrapper for Ranking Feature Selection. IDEAL 2004: 384-389 - [c50]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Discovering decision rules from numerical data streams. SAC 2004: 649-653 - [c49]Daniel Mateos, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Evolutionary segmentation of yeast genome. SAC 2004: 1026-1027 - 2003
- [j11]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): 173-188 (2003) - [j10]José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro:
Finding representative patterns with ordered projections. Pattern Recognit. 36(4): 1009-1018 (2003) - [j9]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): 324-331 (2003) - [c48]Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Paul R. Cohen, José Cristóbal Riquelme Santos:
Clustering Main Concepts from e-Mails. CAEPIA 2003: 231-240 - [c47]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: 577-586 - [c46]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: 656-665 - [c45]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
NLC: A Measure Based on Projections. DEXA 2003: 907-916 - [c44]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: 189-203 - [c43]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Mining Low Dimensionality Data Streams of Continuous Attributes. EPIA 2003: 264-278 - [c42]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Natural Coding: A More Efficient Representation for Evolutionary Learning. GECCO 2003: 979-990 - [c41]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: 766-773 - [c40]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: 11-18 - [c39]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Selection by Means of Projections. IEA/AIE 2003: 461-470 - [c38]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Reduccion de Bases de Datos. JISBD 2003: 469-478 - [c37]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: 645-654 - [c36]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Ranking Algorithm. KES 2003: 325-331 - [c35]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: 360-367 - [c34]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
An Efficient Data Structure for Decision Rules Discovery. SAC 2003: 475-479 - [c33]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Prototype-based Mining of Numeric Data Streams. SAC 2003: 480-484 - 2002
- [j8]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Projection-based measure for efficient feature selection. J. Intell. Fuzzy Syst. 12(3-4): 175-183 (2002) - [j7]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): 7-20 (2002) - [c32]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: 321-330 - [c31]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle:
Improving the Evolutionary Coding for Machine Learning Tasks. ECAI 2002: 173-177 - [c30]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Domingo S. Rodríguez:
Discretization by Maximal Global Goodness. FSKD 2002: 742-746 - [c29]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: 1-8 - [c28]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA 2002: 233-242 - [c27]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: 424-428 - [c26]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: 384-390 - [c25]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: 35-44 - [c24]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Mateos:
Visualización de Consultas mediante Segementación de Dimensiones Significativas. JISBD 2002: 45-54 - [c23]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: 57-66 - [c22]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: 67-76 - [c21]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: 283-292 - [c20]Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos:
Discovering Numeric Association Rules via Evolutionary Algorithm. PAKDD 2002: 40-51 - [c19]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Daniel Rodríguez, Isabel Ramos:
Generation of Management Rules through System Dynamics and Evolutionary Computation. PROFES 2002: 615-628 - [c18]José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos:
Mining interesting regions using an evolutionary algorithm. SAC 2002: 498-502 - [c17]Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos:
An evolutionary algorithm to discover numeric association rules. SAC 2002: 590-594 - [e1]Francisco J. Garijo, José Cristóbal Riquelme Santos, Miguel Toro:
Advances in Artificial Intelligence - IBERAMIA 2002, 8th Ibero-American Conference on AI, Seville, Spain, November 12-15, 2002, Proceedings. Lecture Notes in Computer Science 2527, Springer 2002, ISBN 3-540-00131-X [contents] - 2001
- [j6]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Data set Editing by Ordered Projection. Intell. Data Anal. 5(5): 405-417 (2001) - [j5]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): 1-15 (2001) - [j4]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): 875-882 (2001) - [j3]Miguel A. Ridao, Eduardo F. Camacho, José C. Riquelme, Miguel Toro:
An evolutionary and local search algorithm for motion planning of two manipulators. J. Field Robotics 18(8): 463-476 (2001) - [c16]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Non-parametric Nearest Neighbor with Local Adaptation. EPIA 2001: 22-29 - [c15]Isabel Ramos, José Cristóbal Riquelme Santos, Javier Aroba Páez:
Improvements in the Decision Making in Software Projects. ICEIS (1) 2001: 431-436 - [c14]Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez:
SNN: A Supervised Clustering Algorithm. IEA/AIE 2001: 207-216 - [c13]José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz:
Separation Surfaces through Genetic Programming. IEA/AIE 2001: 428-433 - [c12]José Luis Álvarez Macías, Jacinto Mata Vázquez, José Cristóbal Riquelme Santos:
OBLIC: Classification System Using Evolutionary Algorithm. IWANN (2) 2001: 644-651 - [c11]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: 113-128 - [c10]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: 131-144 - 2000
- [j2]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): 73-84 (2000) - [c9]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Data Set Editing by Ordered Projection. ECAI 2000: 251-255 - [c8]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: 153-162 - [c7]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: 147-156
1990 – 1999
- 1999
- [c6]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Three Geometric Approaches for representing Decision Rules in a Supervised Learning System. GECCO 1999: 771 - 1998
- [j1]José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro:
Una herramienta basada en algoritmos genéticos para obtener un clasificador jerárquico en aprendizaje supervisado. Inteligencia Artif. 2(5): 38-43 (1998) - [c5]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes. IBERAMIA 1998: 326-336 - [c4]Miguel A. Ridao, José Cristóbal Riquelme Santos, Eduardo F. Camacho, Miguel Toro:
An Evolutionary and Local Search Algorithm for Planning Two Manipulators Motion. IEA/AIE (Vol. 2) 1998: 105-114 - [c3]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
A Tool to Obtain a Hierarchical Qualitative Rules form Quantitative Data. IEA/AIE (Vol. 1) 1998: 336-346 - [c2]José Cristóbal Riquelme Santos, Antonio Gómez Expósito, Jose L. Martínez, João Abel Peças Lopes:
Overload Screening of Transmission Systems Using Neural Networks. IEA/AIE (Vol. 1) 1998: 796-803 - 1997
- [c1]José C. Riquelme, Miguel A. Ridao, Eduardo F. Camacho, Miguel Toro:
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion. ICANNGA 1997: 26-30
Coauthor Index
[j32] [j30] [j27] [j25] [j24] [j22] [c66] [c64] [j21] [j20] [c63] [j17] [j16] [c61] [j15] [j14] [j13] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c51] [c50] [c49] [j11] [j10] [j9] [c48] [c45] [c43] [c42] [c41] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [j8] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c19] [j6] [j4] [c16] [c14] [c13] [c11] [c10] [j2] [c9] [c6] [j1] [c5] [c3]
Alicia Troncoso Lora
aka: Alicia Troncoso
aka: Alicia Troncoso
María Martínez-Ballesteros
aka: María del Mar Martínez-Ballesteros
aka: María del Mar Martínez-Ballesteros
Roberto Ruiz Sánchez
aka: Roberto Ruiz
aka: Roberto Ruiz
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