Generalizable time series classification models for complex real-world applications

Συγγραφείς: Hernàndez Carnerero, Àlvar

Συνεισφορές: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Sànchez-Marrè, Miquel, Vázquez Salceda, Javier

Πηγή: TDX (Tesis Doctorals en Xarxa)

Θεματικοί όροι: time series classification, time series analysis, feature engineering and selection, temporal windowing and decay weighting, machine learning, deep learning, hybrid deep learning architectures, adaptive inductive biases, CLAIM (Content-modulated Low-rank Adaptive Isotropic Mixer), temporal modelling, Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Matemàtiques i estadística, 004 - Informàtica, 51 - Matemàtiques

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/10803/697710
https://dx.doi.org/10.5821/dissertation-2117-464422

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