4 citations · 6 across the 5 of their papers we have counts for
5 papers
Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Chenheng Xu, Dan Wu, Yixin Zhu +1
Multivariate long-term time series forecasting has been suffering from the challenge of capturing both temporal dependencies within variables and spatial correlations across variab…
Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
Aaron Maiwald, Leon Ackermann, Maximilian Kalcher +1
Alternative data representations are powerful tools that augment the performance of downstream models. However, there is an abundance of such representations within the machine lea…
Practical Deepfake Detection: Vulnerabilities in Global Contexts
Yang A. Chuming, Daniel J. Wu, Ken Hong
Recent advances in deep learning have enabled realistic digital alterations to videos, known as deepfakes. This technology raises important societal concerns regarding disinformati…
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
Daniel J. Wu, Avoy Datta, Vinay Prabhu
User authentication through gait analysis is a promising application of discriminative neural networks -- particularly due to the ubiquity of the primary sources of gait accelerome…
Continuous Weight Balancing
Daniel J. Wu, Avoy Datta
We propose a simple method by which to choose sample weights for problems with highly imbalanced or skewed traits. Rather than naively discretizing regression labels to find binned…