686 citations · 1.4k across the 12 of their papers we have counts for
5 papers · 1 filter
Deep Learning in Healthcare: An In-Depth Analysis
Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, Khaled M. Rasheed +1
Deep learning (DL) along with never-ending advancements in computational processing and cloud technologies have bestowed us powerful analyzing tools and techniques in the past deca…
EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning
Mohammadreza Iman, John A. Miller, Khaled Rasheed +2
Deep transfer learning techniques try to tackle the limitations of deep learning, the dependency on extensive training data and the training costs, by reusing obtained knowledge. H…
A Review of Deep Transfer Learning and Recent Advancements
Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia
Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two major constraints: dependency on extensive labeled data…
A Concise Review of Transfer Learning
Abolfazl Farahani, Behrouz Pourshojae, Khaled Rasheed +1
The availability of abundant labeled data in recent years led the researchers to introduce a methodology called transfer learning, which utilizes existing data in situations where…
A Brief Review of Domain Adaptation
Abolfazl Farahani, Sahar Voghoei, Khaled Rasheed +1
Classical machine learning assumes that the training and test sets come from the same distributions. Therefore, a model learned from the labeled training data is expected to perfor…