3 citations · 3 across the 7 of their papers we have counts for
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cs.AI2023
GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
Vladimir Mashurov, Vaagn Chopurian, Vadim Porvatov +2
This paper introduces a new transformer-based model for the problem of travel time estimation. The key feature of the proposed GCT-TTE architecture is the utilization of different…
cs.LG2023★ 3 cited
Revising deep learning methods in parking lot occupancy detection
Anastasia Martynova, Mikhail Kuznetsov, Vadim Porvatov +4
Parking guidance systems have recently become a popular trend as a part of the smart cities' paradigm of development. The crucial part of such systems is the algorithm allowing dri…