research
∙
07/03/2023
Augmenting Deep Learning Adaptation for Wearable Sensor Data through Combined Temporal-Frequency Image Encoding
Deep learning advancements have revolutionized scalable classification i...
share
research
∙
10/18/2022
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning
Domain adaptation for sensor-based activity learning is of utmost import...
research
∙
10/18/2022
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning
We present a new semi-supervised domain adaptation framework that combin...
research
∙
07/12/2022
Pseudo value-based Deep Neural Networks for Multi-state Survival Analysis
Multi-state survival analysis (MSA) uses multi-state models for the anal...
research
∙
07/12/2022
FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis
Survival analysis, time-to-event analysis, is an important problem in he...
research
∙
06/22/2021
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology
With the advancement of deep neural networks and computer vision-based H...
research
∙
05/11/2021
Knowledge Transfer across Imaging Modalities Via Simultaneous Learning of Adaptive Autoencoders for High-Fidelity Mobile Robot Vision
Enabling mobile robots for solving challenging and diverse shape, textur...
research
∙
11/20/2018