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Christian S. Jensen

Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
LightCTS*: Lightweight Correlated Time Series Forecasting Enhanced With Model Distillation
Modeling and Monitoring of Indoor Populations using Sparse Positioning Data (Extension)
ReCTSi: Resource-efficient Correlated Time Series Imputation via Decoupled Pattern Learning and Completeness-aware Attentions
Data Imputation for Sparse Radio Maps in Indoor Positioning
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation
Spatial Data Quality in the Internet of Things: Management, Exploitation, and Prospects
Efficient and Error-bounded Spatiotemporal Quantile Monitoring in Edge Computing Environments
Spatial Data Quality in the IoT Era: Management and Exploitation

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