5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 5 cited
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler, Wei-Cheng Lai, Bjoern Eskofier +3
The correct interpretation of convolutional models is a hard problem for time series data. While saliency methods promise visual validation of predictions for image and language pr…
cs.LG2020★ 1 cited
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network
Wei-Cheng Lai, Hendrik Schröter
The Ubicomp Digital 2020 -- Time Series Classification Challenge from STABILO is a challenge about multi-variate time series classification. The data collected from 100 volunteer w…
cs.LG2020★ 2 cited
Automatic Cross-Domain Transfer Learning for Linear Regression
Xinshun Liu, He Xin, Mao Hui +3
Transfer learning research attempts to make model induction transferable across different domains. This method assumes that specific information regarding to which domain each inst…