2 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Peng Zhang, Yawen Huang, Bingzhang Hu +5
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world problems, such as Batch Process Control, the env…
Using Orientation to Distinguish Overlapping Chromosomes
Daniel Kluvanec, Thomas B. Phillips, Kenneth J. W. McCaffrey +1
A difficult step in the process of karyotyping is segmenting chromosomes that touch or overlap. In an attempt to automate the process, previous studies turned to Deep Learning meth…
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Matthew Watson, Noura Al Moubayed
Explainable machine learning has become increasingly prevalent, especially in healthcare where explainable models are vital for ethical and trusted automated decision making. Work…
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed
Deep Learning of neural networks has progressively become more prominent in healthcare with models reaching, or even surpassing, expert accuracy levels. However, these success stor…