2009 | ||
---|---|---|
100 | Juan A. Nepomuceno, Alicia Troncoso Lora, Jesús S. Aguilar-Ruiz: An Overlapping Control. ISDA 2009: 1239-1244 | |
99 | 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 | ||
98 | 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 | |
97 | 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 | |
96 | João Gama, André Carlos Ponce Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz: Special track on Data Streams: editorial message. SAC 2008: 955 | |
95 | Jesús S. Aguilar-Ruiz, Jason H. Moore, Marylyn D. Ritchie: Filling the gap between biology and computer science. BioData Mining 1: (2008) | |
94 | Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Jesús M. Riquelme Santos: Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production. European Journal of Operational Research 185(3): 1114-1127 (2008) | |
93 | João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg: Knowledge discovery from data streams. Intell. Data Anal. 12(3): 251-252 (2008) | |
2007 | ||
92 | 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 | |
91 | 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 | |
90 | Beatriz Pontes, Federico Divina, Raúl Giráldez, Jesús S. Aguilar-Ruiz: Virtual Error: A New Measure for Evolutionary Biclustering. EvoBIO 2007: 217-226 | |
89 | Raúl Giráldez, Federico Divina, Beatriz Pontes, Jesús S. Aguilar-Ruiz: Evolutionary Search of Biclusters by Minimal Intrafluctuation. FUZZ-IEEE 2007: 1-6 | |
88 | Federico Divina, Jesús S. Aguilar-Ruiz: A multi-objective approach to discover biclusters in microarray data. GECCO 2007: 385-392 | |
87 | 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 | |
86 | 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 | |
85 | 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 | |
84 | Daniel Rodríguez, Roberto Ruiz, Juan Jose Cuadrado-Gallego, Jesús S. Aguilar-Ruiz: Detecting Fault Modules Applying Feature Selection to Classifiers. IRI 2007: 667-672 | |
83 | Jesús S. Aguilar-Ruiz, Raúl Giráldez, José Cristóbal Riquelme Santos: Natural Encoding for Evolutionary Supervised Learning. IEEE Trans. Evolutionary Computation 11(4): 466-479 (2007) | |
2006 | ||
82 | 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 | |
81 | Jesús S. Aguilar-Ruiz, Domingo S. Rodríguez, Dan A. Simovici: Biclustering of Gene Expression Data Based on Local Nearness. EGC 2006: 681-692 | |
80 | 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 | |
79 | 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 | |
78 | Beatriz Pontes, Raúl Giráldez, Jesús S. Aguilar-Ruiz: Shifting Patterns Discovery in Microarrays with Evolutionary Algorithms. KES (2) 2006: 1264-1271 | |
77 | 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 | |
76 | Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano: Editorial message: special track on data streams. SAC 2006: 641-642 | |
75 | 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 | |
74 | Federico Divina, Jesús S. Aguilar-Ruiz: Biclustering of Expression Data with Evolutionary Computation. IEEE Trans. Knowl. Data Eng. 18(5): 590-602 (2006) | |
73 | 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. International Journal of Software Engineering and Knowledge Engineering 16(1): 127-140 (2006) | |
72 | João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz: An Overview on Learning from Data Streams. New Generation Comput. 25(1): 1-4 (2006) | |
71 | Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognition 39(12): 2383-2392 (2006) | |
2005 | ||
70 | Jesús S. Aguilar-Ruiz, Federico Divina: Evolutionary Biclustering of Microarray Data. EvoWorkshops 2005: 1-10 | |
69 | Raúl Giráldez, Jesús S. Aguilar-Ruiz: Feature influence for evolutionary learning. GECCO 2005: 1139-1145 | |
68 | Jesús S. Aguilar-Ruiz, Federico Divina: GA-based approach to discover meaningful biclusters. GECCO 2005: 473-474 | |
67 | Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Norberto Díaz-Díaz: Analysis of Feature Rankings for Classification. IDA 2005: 362-372 | |
66 | Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Heuristic Search over a Ranking for Feature Selection. IWANN 2005: 742-749 | |
65 | 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 | |
64 | Jesús S. Aguilar-Ruiz, S. Muthukrishnan: Editorial message: special track on data streams. SAC 2005: 553-554 | |
63 | 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 | |
62 | Jesús S. Aguilar-Ruiz, Federico Divina: Evolutionary computation for biclustering of gene expression. SAC 2005: 959-960 | |
61 | Jesús S. Aguilar-Ruiz: Shifting and scaling patterns from gene expression data. Bioinformatics 21(20): 3840-3845 (2005) | |
60 | Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Knowledge-based fast evaluation for evolutionary learning. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2): 254-261 (2005) | |
59 | Jesús S. Aguilar-Ruiz, Francisco J. Ferrer-Troyano: Visual Data Mining. J. UCS 11(11): 1749-1751 (2005) | |
58 | 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. UCS 11(11): 1835-1848 (2005) | |
57 | Jesús S. Aguilar-Ruiz, João Gama: Data Streams J.UCS Special Issue. J. UCS 11(8): 1349-1352 (2005) | |
56 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Incremental Rule Learning and Border Examples Selection from Numerical Data Streams. J. UCS 11(8): 1426-1439 (2005) | |
2004 | ||
55 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Multidimensional Data Visual Exploration by Interactive Information Segments. DaWaK 2004: 239-248 | |
54 | 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 | |
53 | 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 | |
52 | Jesús S. Aguilar-Ruiz, Jaume Bacardit, Federico Divina: Experimental Evaluation of Discretization Schemes for Rule Induction. GECCO (1) 2004: 828-839 | |
51 | Roberto Ruiz Sánchez, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Databases Reduction. ICEIS (2) 2004: 98-103 | |
50 | Jesús S. Aguilar-Ruiz, Francisco Azuaje: Knowledge Discovery in Lymphoma Cancer from Gene-Expression. IDEAL 2004: 31-38 | |
49 | Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Wrapper for Ranking Feature Selection. IDEAL 2004: 384-389 | |
48 | Daniel Mateos, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Evolutionary segmentation of yeast genome. SAC 2004: 1026-1027 | |
47 | Jesús S. Aguilar-Ruiz, Raquel Costa, Federico Divina: Knowledge discovery from doctor-patient relationship. SAC 2004: 280-284 | |
46 | Jesús S. Aguilar-Ruiz, Paul R. Cohen: Editorial message: special track on data streams. SAC 2004: 625 | |
45 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Discovering decision rules from numerical data streams. SAC 2004: 649-653 | |
2003 | ||
44 | 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 | |
43 | Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: NLC: A Measure Based on Projections. DEXA 2003: 907-916 | |
42 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Mining Low Dimensionality Data Streams of Continuous Attributes. EPIA 2003: 264-278 | |
41 | Jesús S. Aguilar-Ruiz, Daniel Mateos, Domingo S. Rodríguez: Evolutionary Neuroestimation of Fitness Functions. EPIA 2003: 74-83 | |
40 | Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Natural Coding: A More Efficient Representation for Evolutionary Learning. GECCO 2003: 979-990 | |
39 | Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Fast Feature Selection by Means of Projections. IEA/AIE 2003: 461-470 | |
38 | 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 | |
37 | Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Reduccion de Bases de Datos. JISBD 2003: 469-478 | |
36 | 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 | |
35 | Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Fast Feature Ranking Algorithm. KES 2003: 325-331 | |
34 | 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 | |
33 | Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: An Efficient Data Structure for Decision Rules Discovery. SAC 2003: 475-479 | |
32 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Prototype-based Mining of Numeric Data Streams. SAC 2003: 480-484 | |
31 | Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro: Evolutionary learning of hierarchical decision rules. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(2): 324-331 (2003) | |
30 | 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) | |
29 | José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro: Finding representative patterns with ordered projections. Pattern Recognition 36(4): 1009-1018 (2003) | |
2002 | ||
28 | Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Carmelo Del Valle: Improving the Evolutionary Coding for Machine Learning Tasks. ECAI 2002: 173-177 | |
27 | Raúl Giráldez, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Domingo S. Rodríguez: Discretization by Maximal Global Goodness. FSKD 2002: 742-746 | |
26 | 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 | |
25 | Roberto Ruiz, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: SOAP: Efficient Feature Selection of Numeric Attributes. IBERAMIA 2002: 233-242 | |
24 | 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 | |
23 | 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 | |
22 | 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 | |
21 | 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 | |
20 | 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 | |
19 | 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 | |
18 | 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 | |
17 | 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 | |
16 | 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. Signal 3(2): 12-28 (2002) | |
15 | Roberto Ruiz, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz: Projection-based measure for efficient feature selection. Journal of Intelligent and Fuzzy Systems 12(3-4): 175-183 (2002) | |
2001 | ||
14 | Francisco J. Ferrer-Troyano, Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos: Non-parametric Nearest Neighbor with Local Adaptation. EPIA 2001: 22-29 | |
13 | Jesús S. Aguilar-Ruiz, Roberto Ruiz, José Cristóbal Riquelme Santos, Raúl Giráldez: SNN: A Supervised Clustering Algorithm. IEA/AIE 2001: 207-216 | |
12 | José Cristóbal Riquelme Santos, Raúl Giráldez, Jesús S. Aguilar-Ruiz, Roberto Ruiz: Separation Surfaces through Genetic Programming. IEA/AIE 2001: 428-433 | |
11 | 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 | |
10 | 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, D. Rodriguez-García, Manoranjan Satpathy, Rachel Harrison, R. Matilla, M. A. Álvarez: SEGESOFT: Entorno de Entrenamiento para la Gestión de Proyectos Software. JISBD 2001: 131-144 | |
9 | Jesús S. Aguilar-Ruiz: Removing examples and discovering Hierarchical Decision Rules: With Evolutionary Algorithms. AI Commun. 14(4): 231-233 (2001) | |
8 | Jesús S. Aguilar-Ruiz, Isabel Ramos, José Cristóbal Riquelme Santos, Miguel Toro: An evolutionary approach to estimating software development projects. Information & Software Technology 43(14): 875-882 (2001) | |
7 | Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro: Data set Editing by Ordered Projection. Intell. Data Anal. 5(5): 405-417 (2001) | |
2000 | ||
6 | Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro: Data Set Editing by Ordered Projection. ECAI 2000: 251-255 | |
5 | José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz, Miguel Toro: Discovering hierarchical decision rules with evolutive algorithms in supervised learning. Int. J. Comput. Syst. Signal 1(1): 73-84 (2000) | |
1999 | ||
4 | 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 | ||
3 | Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Miguel Toro: Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes. IBERAMIA 1998: 326-336 | |
2 | 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 | |
1 | 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 Artificial, Revista Iberoamericana de Inteligencia Artificial 5: 38-43 (1998) |