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Exogenous Data in Forecasting: FARM -- A New Measure for Relevance Evaluation
Evaluating the relevance of an exogenous data series is the first step in improving the prediction capabilities of a forecast algorithm.
Nested and Balanced Entity Recognition using Multi-Task Learning
The proposed architecture consists of two parts: (1) a shared Sequence Layer and (2) a stacked component with multiple Tagging Layers.
Semantic-based Anomalous Pattern Discovery in Moving Object Trajectories
The approach can be applied to the detection of movement patterns and behaviors whenever the semantics of events occurring along the trajectory is, explicitly or implicitly, available.
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