7 citations · 10 across the 3 of their papers we have counts for
5 papers
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Increasingly, human behavior is captured on mobile devices, leading to an increased interest in automated human activity recognition. However, existing datasets typically consist o…
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Unsupervised domain adaptation (UDA) provides a strategy for improving machine learning performance in data-rich (target) domains where ground truth labels are inaccessible but can…
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Domain adaptation (DA) offers a valuable means to reuse data and models for new problem domains. However, robust techniques have not yet been considered for time series data with v…
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
Garrett Wilson, Diane J. Cook
Often domain adaptation is performed using a discriminator (domain classifier) to learn domain-invariant feature representations so that a classifier trained on labeled source data…
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson, Diane J. Cook
Deep learning has produced state-of-the-art results for a variety of tasks. While such approaches for supervised learning have performed well, they assume that training and testing…