A multi-level clustering approach for forecasting taxi travel demand. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (ITSC, 2016)

Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (CoRR, 2018)

Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (IEEE Trans. Intell. Transp. Syst., 2018)

LSTM-Based Anomaly Detection: Detection Rules from Extreme Value Theory. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (EPIA (1), 2019)

A Framework for End-to-End Deep Learning-Based Anomaly Detection in Transportation Networks. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (CoRR, 2019)

Grids Versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts. - Neema Davis; Gaurav Raina; Krishna P. Jagannathan (IEEE Trans. Intell. Transp. Syst., 2021)