3 citations
3 papers
cs.LG2021
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection
Bingzhao Zhu, Mahsa Shoaran
Modern machine learning tools have shown promise in detecting symptoms of neurological disorders. However, current approaches typically train a unique classifier for each subject.…
cs.LG2020★ 2 cited
ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification
Bingzhao Zhu, Masoud Farivar, Mahsa Shoaran
Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT device…
cs.CV2020★ 3 cited
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals
Siyuan Li, Semih Günel, Mirela Ostrek +3
Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. Human pose est…