1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye +1
Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has…
cs.CV2022★ 1 cited
Absolute Zero-Shot Learning
Rui Gao, Fan Wan, Daniel Organisciak +6
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i.e., training a classifier with zero r…