Proyecto de Investigación
Proyecto TIN2015-67534-P EMULTILAB
Algoritmos de ensembles para problemas de salidas múltiples, nuevos desarrollos y aplicaciones
Financiador:
AGENCIA ESTATAL DE INVESTIGACION
date_range
Duración del 01 de enero de 2016 al 31 de diciembre de 2019
(48 meses)
Finalizó
euro
65.703,00 EUR
De ámbito Nacional.
Convocatoria:
(AGENCIA ESTATAL DE INVESTIGACION)
Subprograma:
DENTRO DEL PROGRAMA ESTATAL DE FOMENTO DE LA NVESTIGACIÓN CIENTÍFICA Y TÉCNICA DE EXCELENCIA
Investigadores/as
Publicaciones relacionadas con el proyecto (10)
Mostrar por tipología2022
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Improving the accuracy of machine-learning models with data from machine test repetitions
Journal of Intelligent Manufacturing
-
Rotation Forest for multi-target regression
International Journal of Machine Learning and Cybernetics
2021
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High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning
Measurement: Journal of the International Measurement Confederation
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Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth
Journal of Intelligent Manufacturing
-
Rotation forest for big data
Information fusion
2020
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Using ensembles for accurate modelling of manufacturing processes in an IoT data-acquisition solution
Applied Sciences (Switzerland)
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An experimental evaluation of mixup regression forests
Expert Systems with Applications
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Early and extremely early multi-label fault diagnosis in induction motors
ISA Transactions
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Random Balance ensembles for multiclass imbalance learning
Knowledge-Based Systems
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You Are Not My Type: An Evaluation of Classification Methods for Automatic Phytolith Identification
Microscopy and Microanalysis