Proyecto de Investigación
Projekt TIN2015-67534-P EMULTILAB
Algoritmos de ensembles para problemas de salidas múltiples, nuevos desarrollos y aplicaciones
Finanzier:
AGENCIA ESTATAL DE INVESTIGACION
date_range
Dauer von 01 von Januar von 2016 bis 31 von Dezember von 2019
(48 Monate)
Fertig
euro
65.703,00 EUR
Geltungsbereich National.
Bekanntmachung:
(AGENCIA ESTATAL DE INVESTIGACION)
Unterprogramm:
DENTRO DEL PROGRAMA ESTATAL DE FOMENTO DE LA NVESTIGACIÓN CIENTÍFICA Y TÉCNICA DE EXCELENCIA
Forscher/innen
Publikationen im Zusammenhang mit dem Projekt (10)
Anzeige nach AnnuitätArtikel
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Improving the accuracy of machine-learning models with data from machine test repetitions
2022
Journal of Intelligent Manufacturing
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Rotation Forest for multi-target regression
2022
International Journal of Machine Learning and Cybernetics
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High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning
2021
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
2021
Journal of Intelligent Manufacturing
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Rotation forest for big data
2021
Information fusion
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Using ensembles for accurate modelling of manufacturing processes in an IoT data-acquisition solution
2020
Applied Sciences (Switzerland)
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An experimental evaluation of mixup regression forests
2020
Expert Systems with Applications
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Early and extremely early multi-label fault diagnosis in induction motors
2020
ISA Transactions
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Random Balance ensembles for multiclass imbalance learning
2020
Knowledge-Based Systems
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You Are Not My Type: An Evaluation of Classification Methods for Automatic Phytolith Identification
2020
Microscopy and Microanalysis