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Nivedita Bijlani
Nivedita Bijlani
Verified email at surrey.ac.uk
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Year
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
172022
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
52022
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
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