1 citations · 2 across the 4 of their papers we have counts for
4 papers
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
Yidong Zhu, Md Mahmudur Rahman, Mohammad Arif Ul Alam
Deep learning advancements have revolutionized scalable classification in many domains including computer vision. However, when it comes to wearable-based classification and domain…
Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
Yidong Zhu, Shao-Hsien Liu, Mohammad Arif Ul Alam
The integration of diverse health data, such as IoT (Internet of Things), EHR (Electronic Health Record), and clinical surveys, with scalable AI(Artificial Intelligence) has enable…
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning
Md Mahmudur Rahman, Mahta Mousavi, Peri Tarr +1
Domain adaptation for sensor-based activity learning is of utmost importance in remote health monitoring research. However, many domain adaptation algorithms suffer with failure to…
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
Md Mahmudur Rahman, Rameswar Panda, Mohammad Arif Ul Alam
We present a new semi-supervised domain adaptation framework that combines a novel auto-encoder-based domain adaptation model with a simultaneous learning scheme providing stable i…