default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJesús S. Aguilar-Ruiz
Person information
- affiliation: Pablo de Olavide University, School of Engineering, Seville, Spain
- affiliation (former): University of Seville, Department of Languages and Computer Systems, Seville, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j58]Edoardo Taccaliti
, Jesús S. Aguilar-Ruiz:
Improving classification on imbalanced genomic data via KDE-based synthetic sampling. BioData Min. 18(1) (2025)- [j57]Jesús S. Aguilar-Ruiz:
Class-specific feature selection for enhancing explainability in ensemble classification models. Int. J. Data Sci. Anal. 20(4): 3771-3780 (2025) - [j56]Jesús S. Aguilar-Ruiz, Cayetano Romero-Vargas:
XNB: A package for Class-Specific Naive-Bayes classifier. SoftwareX 32: 102347 (2025) - [c112]Jesús S. Aguilar-Ruiz, Raúl Giráldez, Roberto Ruiz:
Tree-based biclustering of genomic time series. SAC 2025: 169-175 - [i7]Jesús S. Aguilar-Ruiz:
Rethinking Review Citations: Impact on Scientific Integrity. CoRR abs/2504.05905 (2025) - [i6]Jesús S. Aguilar-Ruiz:
Irredundant k-Fold Cross-Validation. CoRR abs/2507.20048 (2025) - 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 - [i5]Jesús S. Aguilar-Ruiz, Cayetano Romero, Andrea Cicconardi:
XNB: Explainable Class-Specific NaIve-Bayes Classifier. CoRR abs/2411.01203 (2024) - [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]
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 2025-10-30 01:57 CET 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:
