Inferring work routines and behavior deviations with life-logging sensor data

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Time series change point detection with self-supervised contrastive predictive coding

S Deldari, DV Smith, H Xue, FD Salim - Proceedings of the web …, 2021 - dl.acm.org
Change Point Detection (CPD) methods identify the times associated with changes in the
trends and properties of time series data in order to describe the underlying behaviour of the …
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Espresso: Entropy and shape aware time-series segmentation for processing heterogeneous sensor data

S Deldari, DV Smith, A Sadri, F Salim - … of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
Extracting informative and meaningful temporal segments from high-dimensional wearable
sensor data, smart devices, or IoT data is a vital preprocessing step in applications such as …
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[CITA][C] Learning from multimodal time-series data with minimal supervision

S Deldari - 2022 - RMIT University
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