Follow
Neema Davis K
Title
Cited by
Cited by
Year
A multi-level clustering approach for forecasting taxi travel demand
N Davis, G Raina, K Jagannathan
2016 IEEE 19th international conference on intelligent transportation …, 2016
802016
Taxi demand forecasting: A HEDGE-based tessellation strategy for improved accuracy
N Davis, G Raina, K Jagannathan
Transactions on Intelligent Transportation Systems 19 (11), 3686-3697, 2018
472018
A framework for end-to-end deep learning-based anomaly detection in transportation networks
N Davis, G Raina, K Jagannathan
Transportation research interdisciplinary perspectives 5, 100112, 2020
382020
Grids versus graphs: Partitioning space for improved taxi demand-supply forecasts
N Davis, G Raina, K Jagannathan
IEEE Transactions on Intelligent Transportation Systems 22 (10), 6526-6535, 2020
362020
Congestion costs incurred on Indian Roads: A case study for New Delhi
N Davis, HR Joseph, G Raina, K Jagannathan
arXiv preprint arXiv:1708.08984, 2017
262017
LSTM-based anomaly detection: detection rules from extreme value theory
N Davis, G Raina, K Jagannathan
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial …, 2019
72019
Taxi demand-supply forecasting: Impact of spatial partitioning on the performance of neural networks
N Davis, G Raina, K Jagannathan
arXiv preprint arXiv:1812.03699, 2018
32018
Demand modeling and forecasting in Taxi Hailing services
N DAVIS
Chennai, 0
The system can't perform the operation now. Try again later.
Articles 1–8