2 citations · 2 across the 5 of their papers we have counts for
5 papers
Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
James Gong, Raymond Luo, Emma Wang +4
Backpropagation is the pivotal algorithm underpinning the success of artificial neural networks, yet it has critical limitations such as biologically implausible backward locking a…
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Guyang Zhang, Waleed Abdulla
Honey is an important commodity in the global market. Honey types of different botanical origins provide diversified flavors and health benefits, thus having different market value…
Transformers Meet Hyperspectral Imaging: A Comprehensive Study of Models, Challenges and Open Problems
Guyang Zhang, Waleed Abdulla
Transformers have become the architecture of choice for learning long-range dependencies, yet their adoption in hyperspectral imaging (HSI) is still emerging. We reviewed more than…
On filter design in deep convolutional neural network
Gaurav Hirani, Waleed Abdulla
The deep convolutional neural network (DCNN) in computer vision has given promising results. It is widely applied in many areas, from medicine, agriculture, self-driving car, biome…
Cross-user activity recognition using deep domain adaptation with temporal relation information
Xiaozhou Ye, Waleed H. Abdulla, Nirmal Nair +1
Human Activity Recognition (HAR) is a cornerstone of ubiquitous computing, with promising applications in diverse fields such as health monitoring and ambient assisted living. Desp…