Transfer learning for time series classification

Transfer learning for time series classification

5 November 2018

Hassan Ismail Fawaz

Germain Forestier

Pierre-Alain Muller

Papers citing "Transfer learning for time series classification"

8 / 8 papers shown

Title
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 20 1 0 09 Oct 2024
Finding Foundation Models for Time Series Classification with a PreText Task Ali Ismail-Fawaz Maxime Devanne Stefano Berretti Jonathan Weber Germain Forestier 21 5 0 24 Nov 2023
Forecasting Workload in Cloud Computing: Towards Uncertainty-Aware Predictions and Transfer Learning Andrea Rossi Andrea Visentin Diego Carraro Steven D. Prestwich Kenneth N. Brown 16 0 0 24 Feb 2023
Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures Andreas Spilz M. Munz 6 8 0 03 Oct 2022
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification M. Shabani D. Tran J. Kanniainen Alexandros Iosifidis OOD AIFin 14 6 0 23 Jul 2022
My Health Sensor, my Classifier: Adapting a Trained Classifier to Unlabeled End-User Data K. Nikolaidis Stein Kristiansen T. Plagemann V. Goebel Knut Liestøl ... G. Traaen Britt Overland Harriet Akre L. Aakerøy S. Steinshamn OOD 16 1 0 22 Sep 2020
A network-based transfer learning approach to improve sales forecasting of new products Tristan Karb Niklas Kühl Robin Hirt V. Glivici-Cotruţă 8 18 0 13 May 2020
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 50 2,627 0 12 Sep 2018