3 citations · 4 across the 6 of their papers we have counts for
10 papers
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…
College Student Retention Risk Analysis From Educational Database using Multi-Task Multi-Modal Neural Fusion
Mohammad Arif Ul Alam
We develop a Multimodal Spatiotemporal Neural Fusion network for Multi-Task Learning (MSNF-MTCL) to predict 5 important students' retention risks: future dropout, next semester dro…
Person Re-identification Attack on Wearable Sensing
Mohammad Arif Ul Alam
Person re-identification is a critical privacy attack in publicly shared healthcare data as per Health Insurance Portability and Accountability Act (HIPAA) privacy rule. In this pa…
Activity-Aware Deep Cognitive Fatigue Assessment using Wearables
Mohammad Arif Ul Alam
Cognitive fatigue has been a common problem among workers which has become an increasing global problem since the emergence of COVID-19 as a global pandemic. While existing multi-m…
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
Md Mahmudur Rahman, Tauhidur Rahman, Donghyun Kim +1
Enabling mobile robots for solving challenging and diverse shape, texture, and motion related tasks with high fidelity vision requires the integration of novel multimodal imaging s…