An unsupervised data-driven anomaly detection approach for adverse health conditions in people living with dementia: Cohort study N Bijlani, R Nilforooshan, S Kouchaki JMIR aging 5 (3), e38211, 2022 | 17 | 2022 |
G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring N Bijlani, OM Maldonado, S Kouchaki 33rd British Machine Vision Conference (BMVC) Proceedings, 2022 | 5 | 2022 |
Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care N Bijlani, OM Maldonado, R Nilforooshan, P Barnaghi, S Kouchaki, ... Computers in biology and medicine 183, 109287, 2024 | | 2024 |
Computer vision-inspired contrastive learning for self-supervised anomaly detection in sensor-based remote healthcare monitoring N Bijlani, M Yin, G Carneiro, P Barnaghi, S Kouchaki 46th Annual International Conference of the IEEE Engineering in Medicine and …, 2024 | | 2024 |
Explainable Anomaly Detection in Sensor-based Remote Healthcare Monitoring with Adaptive Temporal Contrast N Bijlani, G Carneiro, P Barnaghi, S Kouchaki ICLR 2024 Workshop on Learning from Time Series For Health, 2024 | | 2024 |
A generalizable unsupervised graph‐based approach for anomalous event detection in people living with dementia N Bijlani, R Nilforooshan, OM Maldonado, S Kouchaki Alzheimer's & Dementia 19, e082103, 2023 | | 2023 |
Interpreting Differentiable Latent States for Healthcare Time-series Data Y Chen, N Bijlani, S Kouchaki, P Barnaghi ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | | 2023 |
A lightweight unsupervised approach for adverse health detection and digital biomarker discovery in people living with dementia N Bijlani, R Nilforooshan, P Barnaghi, S Kouchaki Alzheimer's & Dementia 19, e062198, 2023 | | 2023 |