Supervised subspace projections for constructing ensembles of classifiers

Nicolás García-Pedrajas , Jesús Maudes-Raedo , César García-Osorio , Juan J. Rodríguez-Díez
Information Sciences 193 1 -21

31
2012
Monitoring of Student Learning in Learning Management Systems: An Application of Educational Data Mining Techniques

María Consuelo Sáiz-Manzanares , José Francisco Díez-Pastor , Raúl Marticorena-Sánchez , Sandra Rodríguez-Arribas
Applied Sciences 11 ( 6) 2677

20
2021
Improve teaching with modalities and collaborative groups in an LMS: An analysis of monitoring using visualisation techniques

María Consuelo Sáiz-Manzanares , Raúl Marticorena-Sánchez , Juan José Rodríguez-Díez , Sandra Rodríguez-Arribas
Journal of Computing in Higher Education 33 ( 3) 747 -778

32
2021
Learning Classification RBF Networks by Boosting

Juan J. Rodríguez Diez , Carlos J. Alonso González
multiple classifier systems 43 -52

4
2001
Applying Boosting to Similarity Literals for Time Series Classification

Juan J. Rodríguez Diez , Carlos J. Alonso González
Multiple Classifier Systems 210 -219

26
2000
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air

Ludmila Ilieva Kuncheva , Juan Jose Rodríguez , Yasir Iftikhar Syed , Christopher O. Phillips
International Journal of Knowledge Discovery in Bioinformatics 3 ( 2) 1 -15

1
2012
Boosting interval-based literals: Variable length and early classification

Carlos J Alonso González , Juan J Rodríguez Diez ,
149 -171

42
2004
Multiple Classifier Systems First International Workshop, MCS 2000 Cagliari, Italy, June 21–23, 2000 Proceedings

Thomas G Dietterich , Robert PW Duin , David MJ Tax , Amanda JC Sharkey
Springer 1 -15

2000
Herramienta de apoyo a la docencia de algoritmos de selección de instancias

Á González , JF Díez-Pastor , CI García-Osorio , JJ Rodríguez-Díez
Proceedings of the Jornadas Enseñanza la Informática, Ciudad Real, Spain 10 -13

1
2012
Support Vector Machines of Interval-based Features for Time Series Classification

J. J. Rodríguez Diez , C. J. Alonso , J. A. Maestro
Knowledge Bases Systems 18 ( 4-5) 171 -178

132
2015
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults

Jose Alberto Maestro-Prieto , José Miguel Ramírez-Sanz , Andrés Bustillo , Juan José Rodriguez-Díez
Applied Intelligence 1 -20

2
2024
Evaluation of Semi-Supervised Machine Learning applied to Affective State Detection

Íñigo Martin-Melero , Ana Serrano-Mamolar , Juan J Rodríguez-Diez
2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) 320 -325

2024
Time Series Classification by Boosting Interval Based

Literals Carlos Alonso , Carlos J Alonso , González Juan , J Rodríguez Diez

2000
Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal

CARLOS J ALONSO GONZÁLEZ , QUILANISAAC MORO SANCHO , JUAN J RODRÍGUEZ
Computación y Sistemas 5 ( 002)

Transformacin de clases para obtener clases genricas. Implicaciones en las jerarquas de herencia y de agregacincomposicin

Yania Crespo , Jos Manuel Marqus , Juan Jos Rodrguez , Dpto de CC de la Computacin

Ensembles of Grafted Trees

Jesús M. Maudes , Juan J. Rodríguez
european conference on artificial intelligence 803 -804

1
2006
Using ensembles of regression trees to monitor lubricating oil quality

Susana Ferreiro , Andres Bustillo , Alberto Villar , Juan J. Rodríguez
international conference industrial engineering other applications applied intelligent systems 199 -206

2
2011
Clasificación de Patrones Temporales en Sistemas Dinámicos mediante Boosting y Alineamiento Dinámico Temporal

Juan J. Rodríguez , Carlos J. Alonso , Quilan Isaac Moro Sancho
Computación y Sistemas (México) Num.2 Vol.5 5 ( 002) 89 -95

2001
Local sets for multi-label instance selection

Juan J. Rodríguez , José Francisco Díez Pastor , César García Osorio , Álvar Arnaiz González
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España, 2018, ISBN 978-84-09-05643-9, págs. 887-888 887 -888

2018
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale

Ludmila I. Kuncheva , Álvar Arnaiz-González , Juan J. Rodríguez , Clare E. Matthews
arXiv: Learning

13
2020