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11/20/2019
A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks
We develop an end-to-end deep learning-based anomaly detection model for...
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09/13/2019
LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory
In this paper, we explore various statistical techniques for anomaly det...
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02/18/2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts
Accurate taxi demand-supply forecasting is a challenging application of ...
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12/10/2018
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
In this paper, we investigate the significance of choosing an appropriat...
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05/17/2018