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ORCIDJesús S. Aguilar-Ruiz
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- affiliation: University of Seville, Spain
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2020 – today
- 2024
[j55]Jesús S. Aguilar-Ruiz, Marcin Michalak
, Lukasz Wróbel:
IMCP: A Python package for imbalanced and multiclass data classifier performance comparison. SoftwareX 28: 101877 (2024)- [c111]Jesús S. Aguilar-Ruiz, Matteo Fratini:
Random Neural Network Ensemble for Very High Dimensional Datasets. DATA 2024: 368-375 - [i4]Jesús S. Aguilar-Ruiz:
Class-specific feature selection for classification explainability. CoRR abs/2411.01204 (2024) - [i3]Jesús S. Aguilar-Ruiz:
The Certainty Ratio Cρ: a novel metric for assessing the reliability of classifier predictions. CoRR abs/2411.01973 (2024) - 2023
- [j54]Marcin Michalak, Jesús S. Aguilar-Ruiz:
Shifting Pattern Biclustering and Boolean Reasoning Symmetry. Symmetry 15(11): 1977 (2023) - 2022
- [j53]Jesús S. Aguilar-Ruiz, Marcin Michalak:
Multiclass Classification Performance Curve. IEEE Access 10: 68915-68921 (2022) - [j52]Ralf E. Wellinger, Jesús S. Aguilar-Ruiz:
A new challenge for data analytics: transposons. BioData Min. 15(1) (2022) - 2021
- [i2]Marcin Michalak, Jesús S. Aguilar-Ruiz:
Boolean Reasoning-Based Biclustering for Shifting Pattern Extraction. CoRR abs/2104.12493 (2021) - [i1]Diana C. Pauca-Quispe, Cinthya Butron-Revilla, Ernesto Suarez-Lopez, Karla Aranibar-Tila, Jesús S. Aguilar-Ruiz:
Land use identification through social network interaction. CoRR abs/2112.06704 (2021)
2010 – 2019
- 2018
- [j51]Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Pairwise gene GO-based measures for biclustering of high-dimensional expression data. BioData Min. 11(1): 4:1-4:19 (2018) - 2016
- [c110]Juan A. Nepomuceno, Alicia Troncoso, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Biclustering of Gene Expression Data Based on SimUI Semantic Similarity Measure. HAIS 2016: 685-693 - [c109]Francisco Javier Gil-Cumbreras, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Extending Probabilistic Encoding for Discovering Biclusters in Gene Expression Data. HAIS 2016: 706-717 - 2015
- [j50]Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca, Jesús S. Aguilar-Ruiz:
Soft computing methods for the prediction of protein tertiary structures: A survey. Appl. Soft Comput. 35: 398-410 (2015) - [j49]Juan A. Nepomuceno, Alicia Troncoso, Jesús S. Aguilar-Ruiz:
Scatter search-based identification of local patterns with positive and negative correlations in gene expression data. Appl. Soft Comput. 35: 637-651 (2015) - [j48]Juan A. Nepomuceno, Alicia Troncoso Lora, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Integrating biological knowledge based on functional annotations for biclustering of gene expression data. Comput. Methods Programs Biomed. 119(3): 163-180 (2015) - [j47]Cosme Ernesto Santiesteban-Toca, Jesús S. Aguilar-Ruiz:
A new multiple classifier system for the prediction of protein's contacts map. Inf. Process. Lett. 115(12): 983-990 (2015) - [j46]Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Biclustering on expression data: A review. J. Biomed. Informatics 57: 163-180 (2015) - [j45]Isabel A. Nepomuceno-Chamorro, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz:
Building Transcriptional Association Networks in Cytoscape with RegNetC. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 823-824 (2015) - [c108]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
An Efficient Nearest Neighbor Method for Protein Contact Prediction. HAIS 2015: 50-60 - 2014
- [j44]Dayrelis Mena Torres, Jesús S. Aguilar-Ruiz:
A similarity-based approach for data stream classification. Expert Syst. Appl. 41(9): 4224-4234 (2014) - [j43]Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Federico Divina, Jesús S. Aguilar-Ruiz:
Evolutionary decision rules for predicting protein contact maps. Pattern Anal. Appl. 17(4): 725-737 (2014) - 2013
- [j42]Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Configurable pattern-based evolutionary biclustering of gene expression data. Algorithms Mol. Biol. 8: 4 (2013) - [c107]Alfonso E. Márquez Chamorro, Federico Divina, Jaume Bacardit, Jesús S. Aguilar-Ruiz:
An efficient decision rule-based system for the protein residue-residue contact prediction. IEEE Congress on Evolutionary Computation 2013: 592-597 - [c106]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Cosme Ernesto Santiesteban-Toca:
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor. CIARP (2) 2013: 166-173 - [c105]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Synergies of genes in Alzheimer's disease. IWBBIO 2013: 51-53 - 2012
- [j41]Jaume Bacardit, Pawel Widera, Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Natalio Krasnogor:
Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features. Bioinform. 28(19): 2441-2448 (2012) - [j40]Federico Divina, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
An effective measure for assessing the quality of biclusters. Comput. Biol. Medicine 42(2): 245-256 (2012) - [j39]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) - [j38]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) - [c104]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro, Roberto Ruiz, Cosme Ernesto Santiesteban-Toca:
Prediction of Mitochondrial Matrix Protein Structures Based on Feature Selection and Fragment Assembly. EvoBIO 2012: 156-167 - [c103]Cosme Ernesto Santiesteban-Toca, Gualberto Asencio-Cortés, Alfonso E. Márquez Chamorro, Jesús S. Aguilar-Ruiz:
Short-Range Interactions and Decision Tree-Based Protein Contact Map Predictor. EvoBIO 2012: 224-233 - [c102]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Jaume Bacardit, Gualberto Asencio-Cortés, Cosme Ernesto Santiesteban-Toca:
A NSGA-II Algorithm for the Residue-Residue Contact Prediction. EvoBIO 2012: 234-244 - [c101]Cosme Ernesto Santiesteban-Toca, Milton García-Borroto, Jesús S. Aguilar-Ruiz:
Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction. MCPR 2012: 166-175 - [c100]Dayrelis Mena Torres, Jesús S. Aguilar-Ruiz, Yanet Rodríguez Sarabia:
An Instance Based Learning Model for Classification in Data Streams with Concept Change. MICAI (Special Sessions) 2012: 58-62 - 2011
- [j37]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Biclustering of Gene Expression Data by Correlation-Based Scatter Search. BioData Min. 4: 3 (2011) - [j36]Isabel A. Nepomuceno-Chamorro, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz, Daniel R. Wagner:
Prognostic transcriptional association networks: a new supervised approach based on regression trees. Bioinform. 27(2): 252-258 (2011) - [j35]Domingo S. Rodríguez-Baena, Antonio J. Pérez-Pulido, Jesús S. Aguilar-Ruiz:
A biclustering algorithm for extracting bit-patterns from binary datasets. Bioinform. 27(19): 2738-2745 (2011) - [j34]Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz:
GO-based Functional Dissimilarity of Gene Sets. BMC Bioinform. 12: 360 (2011) - [j33]Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro:
CarGene: Characterisation of sets of genes based on metabolic pathways analysis. Int. J. Data Min. Bioinform. 5(5): 558-573 (2011) - [j32]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz:
Predicting protein distance maps according to physicochemical properties. J. Integr. Bioinform. 8(3) (2011) - [j31]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) - [j30]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) - [c99]Francisco Gómez-Vela, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz:
Gene Networks Validation based on Metabolic Pathways. BIBE 2011: 9-14 - [c98]Francisco Gómez-Vela, Francisco Martínez-Álvarez, Carlos D. Barranco, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz:
Pattern Recognition in Biological Time Series. CAEPIA 2011: 164-172 - [c97]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction. EvoBio 2011: 69-76 - [c96]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
An Evolutionary Approach for Protein Contact Map Prediction. EvoBio 2011: 101-110 - [c95]Cosme Ernesto Santiesteban-Toca, Alfonso E. Márquez Chamorro, Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz:
A Decision Tree-Based Method for Protein Contact Map Prediction. EvoBio 2011: 153-158 - [c94]Michaël Marcozzi, Federico Divina, Jesús S. Aguilar-Ruiz, Wim Vanhoof:
A novel probabilistic encoding for EAs applied to biclustering of microarray data. GECCO 2011: 339-346 - [c93]Norberto Díaz-Díaz, Francisco Gómez-Vela, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz:
Gene Regulatory Networks Validation Framework Based in KEGG. HAIS (2) 2011: 279-286 - [c92]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz:
Evolutionary Protein Contact Maps Prediction Based on Amino Acid Properties. HAIS (2) 2011: 303-310 - [c91]Dayrelis Mena Torres, Jesús S. Aguilar-Ruiz, Yanet Rodríguez Sarabia:
Classification Model for Data Streams Based on Similarity. IEA/AIE (1) 2011: 1-9 - [c90]Cosme Ernesto Santiesteban-Toca, Jesús S. Aguilar-Ruiz:
DTP: Decision Tree-Based Predictor of Protein Contact Map. IEA/AIE (2) 2011: 367-375 - [c89]Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Evolutionary biclustering based on expression patterns. ISDA 2011: 537-542 - [c88]Norberto Díaz-Díaz, Francisco Gómez-Vela, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez:
Gene-gene interaction based clustering method for microarray data. ISDA 2011: 1067-1073 - [c87]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
A multi-objective genetic algorithm for the Protein Structure Prediction. ISDA 2011: 1086-1090 - [c86]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Inferring gene coexpression networks with Biclustering based on Scatter Search. ISDA 2011: 1091-1096 - [c85]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
A local search in Scatter Search for improving Biclusters. NaBIC 2011: 521-526 - [c84]Gualberto Asencio-Cortés, Jesús S. Aguilar-Ruiz, Alfonso E. Márquez Chamorro:
Prediction of Protein Distance Maps by Assembling Fragments According to Physicochemical Similarities. PACBB 2011: 271-277 - [c83]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Residue-Residue Contact Prediction Based on Evolutionary Computation. PACBB 2011: 279-283 - [c82]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz:
Evolutionary computation for the prediction of secondary protein structures. SAC 2011: 1082-1087 - 2010
- [j29]Ronnie Alves, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz:
Gene association analysis: a survey of frequent pattern mining from gene expression data. Briefings Bioinform. 11(2): 210-224 (2010) - [j28]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, José C. Riquelme:
Inferring gene regression networks with model trees. BMC Bioinform. 11: 517 (2010) - [c81]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Correlation-Based Scatter Search for Discovering Biclusters from Gene Expression Data. EvoBIO 2010: 122-133 - [c80]Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Measuring the Quality of Shifting and Scaling Patterns in Biclusters. PRIB 2010: 242-252 - [c79]Alfonso E. Márquez Chamorro, Federico Divina, Jesús S. Aguilar-Ruiz, Gualberto Asencio-Cortés:
Alpha Helix Prediction Based on Evolutionary Computation. PRIB 2010: 358-367 - [c78]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
Evolutionary metaheuristic for biclustering based on linear correlations among genes. SAC 2010: 1143-1147
2000 – 2009
- 2009
- [j27]Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Improved biclustering on expression data through overlapping control. Int. J. Intell. Comput. Cybern. 2(3): 477-493 (2009) - [c77]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
An Overlapping Control-Biclustering Algorithm from Gene Expression Data. ISDA 2009: 1239-1244 - [c76]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz:
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms. PRIB 2009: 199-210 - 2008
- [j26]Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie:
Filling the gap between biology and computer science. BioData Min. 1 (2008) - [j25]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) - [j24]João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg:
Knowledge discovery from data streams. Intell. Data Anal. 12(3): 251-252 (2008) - [c75]Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
A Novel Approach for Avoiding Overlapping Among Biclusters in Expression Data. HIS 2008: 813-818 - [c74]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 - [c73]João Gama, André Carlos Ponce de Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz:
Special track on Data Streams: editorial message. SAC 2008: 955 - [c72]Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Best Agglomerative Ranked Subset for Feature Selection. FSDM 2008: 148-162 - 2007
- [j23]Jesús S. Aguilar-Ruiz:
Rule learning from data streams: an overview. Monde des Util. Anal. Données 36: 34-36 (2007) - [j22]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) - [j21]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) - [c71]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 - [c70]Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz, Miguel Garre:
Attribute Selection in Software Engineering Datasets for Detecting Fault Modules. EUROMICRO-SEAA 2007: 418-423 - [c69]Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Virtual Error: A New Measure for Evolutionary Biclustering. EvoBIO 2007: 217-226 - [c68]Raúl Giráldez, Federico Divina, Beatriz Pontes, Jesús S. Aguilar-Ruiz:
Evolutionary Search of Biclusters by Minimal Intrafluctuation. FUZZ-IEEE 2007: 1-6 - [c67]Federico Divina, Jesús S. Aguilar-Ruiz:
A multi-objective approach to discover biclusters in microarray data. GECCO 2007: 385-392 - [c66]Domingo S. Rodríguez-Baena, Norberto Díaz-Díaz, Jesús S. Aguilar-Ruiz, Isabel A. Nepomuceno-Chamorro:
Discovering alpha -Patterns from Gene Expression Data. IDEAL 2007: 831-839 - [c65]Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz, Jorge García-Gutiérrez:
Biclusters Evaluation Based on Shifting and Scaling Patterns. IDEAL 2007: 840-849 - [c64]Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jorge García-Gutiérrez:
A Deterministic Model to Infer Gene Networks from Microarray Data. IDEAL 2007: 850-859 - [c63]Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz:
Detecting Fault Modules Applying Feature Selection to Classifiers. IRI 2007: 667-672 - 2006
- [j20]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) - [j19]João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz:
An Overview on Learning from Data Streams. New Gener. Comput. 25(1): 1-4 (2006) - [j18]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) - [j17]Federico Divina, Jesús S. Aguilar-Ruiz:
Biclustering of Expression Data with Evolutionary Computation. IEEE Trans. Knowl. Data Eng. 18(5): 590-602 (2006) - [c62]Isabel A. Nepomuceno-Chamorro, Juan A. Nepomuceno, Roberto Ruiz Sánchez, Jesús S. Aguilar-Ruiz:
Databases Reduction Simultaneously by Ordered Projection. Discovery Science 2006: 337-341 - [c61]Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez, Dan A. Simovici:
Biclustering of Gene Expression Data Based on Local Nearness. EGC 2006: 681-692 - [c60]Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
Neighborhood-Based Clustering of Gene-Gene Interactions. IDEAL 2006: 1111-1120 - [c59]Jesús S. Aguilar-Ruiz, Juan A. Nepomuceno, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro:
A Measure for Data Set Editing by Ordered Projections. IEA/AIE 2006: 1339-1348 - [c58]Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms. KES (2) 2006: 1264-1271 - [c57]Roberto Ruiz, Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Gene Ranking from Microarray Data for Cancer Classification-A Machine Learning Approach. KES (2) 2006: 1272-1280 - [c56]Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano:
Editorial message: special track on data streams. SAC 2006: 641-642 - [c55]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 - 2005
- [j16]Jesús S. Aguilar-Ruiz:
Shifting and scaling patterns from gene expression data. Bioinform. 21(20): 3840-3845 (2005) - [j15]Jesús S. Aguilar-Ruiz, João Gama:
Data Streams J.UCS Special Issue. J. Univers. Comput. Sci. 11(8): 1349-1352 (2005) - [j14]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) - [j13]Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano:
Visual Data Mining. J. Univers. Comput. Sci. 11(11): 1749-1751 (2005) - [j12]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) - [j11]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) - [c54]Jesús S. Aguilar-Ruiz, Federico Divina:
Evolutionary Biclustering of Microarray Data. EvoWorkshops 2005: 1-10 - [c53]Jesús S. Aguilar-Ruiz, Federico Divina:
GA-based approach to discover meaningful biclusters. GECCO 2005: 473-474 - [c52]Raúl Giráldez, Jesús S. Aguilar-Ruiz:
Feature influence for evolutionary learning. GECCO 2005: 1139-1145 - [c51]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification. IDA 2005: 362-372 - [c50]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Heuristic Search over a Ranking for Feature Selection. IWANN 2005: 742-749 - [c49]Raúl Giráldez, Norberto Díaz-Díaz, Isabel A. Nepomuceno-Chamorro, Jesús S. Aguilar-Ruiz:
An Approach to Reduce the Cost of Evaluation in Evolutionary Learning. IWANN 2005: 804-811 - [c48]Jesús S. Aguilar-Ruiz, S. Muthukrishnan:
Editorial message: special track on data streams. SAC 2005: 553-554 - [c47]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 - [c46]Jesús S. Aguilar-Ruiz, Federico Divina:
Evolutionary computation for biclustering of gene expression. SAC 2005: 959-960 - 2004
- [c45]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Multidimensional Data Visual Exploration by Interactive Information Segments. DaWaK 2004: 239-248 - [c44]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 - [c43]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 - [c42]Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina:
Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) 2004: 828-839 - [c41]Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Databases Reduction. ICEIS (2) 2004: 98-103 - [c40]Jesús S. Aguilar-Ruiz, Francisco Azuaje:
Knowledge Discovery in Lymphoma Cancer from Gene-Expression. IDEAL 2004: 31-38 - [c39]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Wrapper for Ranking Feature Selection. IDEAL 2004: 384-389 - [c38]Jesús S. Aguilar-Ruiz, Raquel Costa, Federico Divina:
Knowledge discovery from doctor-patient relationship. SAC 2004: 280-284 - [c37]Jesús S. Aguilar-Ruiz, Paul R. Cohen:
Editorial message: special track on data streams. SAC 2004: 625 - [c36]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Discovering decision rules from numerical data streams. SAC 2004: 649-653 - [c35]Daniel Mateos, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Evolutionary segmentation of yeast genome. SAC 2004: 1026-1027 - 2003
- [j10]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) - [j9]José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro:
Finding representative patterns with ordered projections. Pattern Recognit. 36(4): 1009-1018 (2003) - [j8]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) - [c34]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 - [c33]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
NLC: A Measure Based on Projections. DEXA 2003: 907-916 - [c32]Jesús S. Aguilar-Ruiz, Daniel Mateos, Domingo S. Rodríguez:
Evolutionary Neuroestimation of Fitness Functions. EPIA 2003: 74-83 - [c31]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Mining Low Dimensionality Data Streams of Continuous Attributes. EPIA 2003: 264-278 - [c30]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Natural Coding: A More Efficient Representation for Evolutionary Learning. GECCO 2003: 979-990 - [c29]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 - [c28]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Selection by Means of Projections. IEA/AIE 2003: 461-470 - [c27]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Reduccion de Bases de Datos. JISBD 2003: 469-478 - [c26]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 - [c25]Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz:
Fast Feature Ranking Algorithm. KES 2003: 325-331 - [c24]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 - [c23]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
An Efficient Data Structure for Decision Rules Discovery. SAC 2003: 475-479 - [c22]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Prototype-based Mining of Numeric Data Streams. SAC 2003: 480-484 - 2002
- [j7]Rafael Corchuelo, Jesús S. Aguilar-Ruiz, José Luis Arjona:
A framework for extracting information with semantics from the Web - An application to knowledge discovery for Web agents. Int. J. Comput. Syst. Signals 3(2): 12-28 (2002) - [j6]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) - [c21]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle:
Improving the Evolutionary Coding for Machine Learning Tasks. ECAI 2002: 173-177 - [c20]Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Domingo S. Rodríguez:
Discretization by Maximal Global Goodness. FSKD 2002: 742-746 - [c19]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 - [c18]Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA 2002: 233-242 - [c17]Carmelo Del Valle, Miguel Toro, Rafael Ceballos, Jesús S. Aguilar-Ruiz:
A Pomset-Based Model for Estimating Workcells' Setups in Assembly Sequence Planning. IBERAMIA 2002: 835-844 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - 2001
- [j5]Jesús S. Aguilar-Ruiz:
Removing examples and discovering Hierarchical Decision Rules: With Evolutionary Algorithms. AI Commun. 14(4): 231-233 (2001) - [j4]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Data set Editing by Ordered Projection. Intell. Data Anal. 5(5): 405-417 (2001) - [j3]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) - [c9]Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos:
Non-parametric Nearest Neighbor with Local Adaptation. EPIA 2001: 22-29 - [c8]Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez:
SNN: A Supervised Clustering Algorithm. IEA/AIE 2001: 207-216 - [c7]José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz:
Separation Surfaces through Genetic Programming. IEA/AIE 2001: 428-433 - [c6]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 - [c5]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) - [c4]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Data Set Editing by Ordered Projection. ECAI 2000: 251-255
1990 – 1999
- 1999
- [c3]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) - [c2]Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro:
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes. IBERAMIA 1998: 326-336 - [c1]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
Coauthor Index
Alicia Troncoso Lora
aka: Alicia Troncoso
aka: Alicia Troncoso
Roberto Ruiz Sánchez
aka: Roberto Ruiz
aka: Roberto Ruiz
José Cristóbal Riquelme Santos
aka: José C. Riquelme
aka: José C. Riquelme
[j39] [j38] [j31] [j30] [j28] [j25] [c74] [c72] [j22] [j21] [c71] [j20] [j18] [c55] [j14] [j12] [j11] [c51] [c50] [c47] [c45] [c44] [c43] [c41] [c39] [c36] [c35] [j10] [j9] [j8] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [j6] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j4] [j3] [c9] [c8] [c7] [c6] [c5] [j2] [c4] [c3] [j1] [c2] [c1]
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