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Publications: Forecasting

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series

Heterogeneity and irregularity of multi-source data sets present a significant challenge to time-series analysis. In the literature, the fusion of multi-source time-series has been achieved eithe

Irregularity Encoders Parallelised Encoders Forecasting Heterogeneous Time-Series

Keywords

sensor [21]
mobile [12]
behaviour [10]
Occupancy Prediction [9]
Pattern recognition [9]
trajectory [9]
Analysis [9]
Sensor Data [8]
context [8]
time series [8]

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Publications: Forecasting

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series