2008 |
82 | EE | 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) |
2007 |
81 | EE | 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 |
80 | EE | Francisco Martínez-Álvarez,
Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
Jesús Riquelme Santos:
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series.
IDEAL 2007: 990-999 |
79 | EE | 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 |
78 | | 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.
JISBD 2006 |
77 | EE | 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 |
76 | EE | 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) |
75 | EE | 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 |
74 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Norberto Díaz-Díaz:
Analysis of Feature Rankings for Classification.
IDA 2005: 362-372 |
73 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Heuristic Search over a Ranking for Feature Selection.
IWANN 2005: 742-749 |
72 | EE | 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 |
71 | EE | 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) |
70 | EE | 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) |
69 | EE | 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 |
68 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Multidimensional Data Visual Exploration by Interactive Information Segments.
DaWaK 2004: 239-248 |
67 | EE | 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 |
66 | EE | 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 |
65 | | 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 |
64 | | 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 |
63 | | Roberto Ruiz Sánchez,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Databases Reduction.
ICEIS (2) 2004: 98-103 |
62 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Wrapper for Ranking Feature Selection.
IDEAL 2004: 384-389 |
61 | EE | Daniel Mateos,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Evolutionary segmentation of yeast genome.
SAC 2004: 1026-1027 |
60 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Discovering decision rules from numerical data streams.
SAC 2004: 649-653 |
59 | EE | José Luis Álvarez Macías,
Jacinto Mata Vázquez,
José Cristóbal Riquelme Santos:
Data Mining For The Management Of Software Development Process.
International Journal of Software Engineering and Knowledge Engineering 14(6): 665-695 (2004) |
2003 |
58 | EE | 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 |
57 | EE | Alicia Troncoso Lora,
Jesús 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 |
56 | EE | Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
José Luís Martínez Ramos,
Jesús 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 |
55 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
NLC: A Measure Based on Projections.
DEXA 2003: 907-916 |
54 | EE | Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
José Luís Martínez Ramos,
Jesús Riquelme Santos,
Antonio Gómez Expósito:
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production.
EPIA 2003: 189-203 |
53 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Mining Low Dimensionality Data Streams of Continuous Attributes.
EPIA 2003: 264-278 |
52 | EE | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Natural Coding: A More Efficient Representation for Evolutionary Learning.
GECCO 2003: 979-990 |
51 | | 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 |
50 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Fast Feature Selection by Means of Projections.
IEA/AIE 2003: 461-470 |
49 | EE | 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 |
48 | | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Reduccion de Bases de Datos.
JISBD 2003: 469-478 |
47 | | 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 |
46 | EE | Roberto Ruiz,
José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz:
Fast Feature Ranking Algorithm.
KES 2003: 325-331 |
45 | EE | 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 |
44 | | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
An Efficient Data Structure for Decision Rules Discovery.
SAC 2003: 475-479 |
43 | | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Prototype-based Mining of Numeric Data Streams.
SAC 2003: 480-484 |
42 | | 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) |
41 | EE | 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) |
40 | EE | José Cristóbal Riquelme Santos,
Jesús S. Aguilar-Ruiz,
Miguel Toro:
Finding representative patterns with ordered projections.
Pattern Recognition 36(4): 1009-1018 (2003) |
2002 |
39 | | 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
Springer 2002 |
38 | EE | Alicia Troncoso Lora,
José Cristóbal Riquelme Santos,
Jesús 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 |
37 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Carmelo Del Valle:
Improving the Evolutionary Coding for Machine Learning Tasks.
ECAI 2002: 173-177 |
36 | | Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Domingo S. Rodríguez:
Discretization by Maximal Global Goodness.
FSKD 2002: 742-746 |
35 | | 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 |
34 | EE | Roberto Ruiz,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
SOAP: Efficient Feature Selection of Numeric Attributes.
IBERAMIA 2002: 233-242 |
33 | | 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 |
32 | EE | Alicia Troncoso Lora,
Jesús 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 |
31 | | 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 |
30 | | 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 |
29 | | 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 |
28 | | 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 |
27 | | 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 |
26 | EE | Jacinto Mata Vázquez,
José Luis Álvarez Macías,
José Cristóbal Riquelme Santos:
Discovering Numeric Association Rules via Evolutionary Algorithm.
PAKDD 2002: 40-51 |
25 | EE | 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 |
24 | EE | José Luis Álvarez Macías,
Jacinto Mata Vázquez,
José Cristóbal Riquelme Santos:
Mining interesting regions using an evolutionary algorithm.
SAC 2002: 498-502 |
23 | EE | Jacinto Mata Vázquez,
José Luis Álvarez Macías,
José Cristóbal Riquelme Santos:
An evolutionary algorithm to discover numeric association rules.
SAC 2002: 590-594 |
22 | EE | 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) |
21 | EE | José Luis Álvarez Macías,
Jacinto Mata Vázquez,
José Cristóbal Riquelme Santos:
Método de Inducción de Reglas de Clasificación Oblicuas Mediante un Algoritmo Evolutivo.
Revista Comlombiana de Computación 3(1): 7-20 (2002) |
2001 |
20 | EE | Francisco J. Ferrer-Troyano,
Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos:
Non-parametric Nearest Neighbor with Local Adaptation.
EPIA 2001: 22-29 |
19 | | Isabel Ramos,
José Cristóbal Riquelme Santos,
Javier Aroba Páez:
Improvements in the Decision Making in Software Projects.
ICEIS (1) 2001: 431-436 |
18 | EE | Jesús S. Aguilar-Ruiz,
Roberto Ruiz,
José Cristóbal Riquelme Santos,
Raúl Giráldez:
SNN: A Supervised Clustering Algorithm.
IEA/AIE 2001: 207-216 |
17 | EE | José Cristóbal Riquelme Santos,
Raúl Giráldez,
Jesús S. Aguilar-Ruiz,
Roberto Ruiz:
Separation Surfaces through Genetic Programming.
IEA/AIE 2001: 428-433 |
16 | EE | José Luis Álvarez Macías,
Jacinto Mata Vázquez,
José Cristóbal Riquelme Santos:
OBLIC: Classification System Using Evolutionary Algorithm.
IWANN (2) 2001: 644-651 |
15 | | 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 |
14 | | 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 |
13 | | 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) |
12 | EE | 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. Signal 2(1): 1-15 (2001) |
11 | EE | 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 |
10 | | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Data Set Editing by Ordered Projection.
ECAI 2000: 251-255 |
9 | | 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 |
8 | | 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 |
7 | EE | 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 |
6 | | 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 |
5 | EE | Jesús S. Aguilar-Ruiz,
José Cristóbal Riquelme Santos,
Miguel Toro:
Decision Queue Classifier for Supervised Learning Using Rotated Hyperboxes.
IBERAMIA 1998: 326-336 |
4 | | 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 |
3 | | 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 |
2 | | 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 |
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) |