1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2022
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…
cs.CV2022★ 1 cited
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…