default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJosé Cristóbal Riquelme Santos
José C. Riquelme
Person information
- affiliation: University of Seville, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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 M. 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-12 22:55 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
