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Found 6 papers, 3 papers with code
GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
This paper introduces a new transformer-based model for the problem of travel time estimation.
Ranked #1 on
Travel Time Estimation
on TTE-A&O
Revising deep learning methods in parking lot occupancy detection
Parking guidance systems have recently become a popular trend as a part of the smart cities' paradigm of development.
Ranked #1 on
Parking Space Occupancy
on PKLot
(F1-score metric)
5q032e@SMM4H'22: Transformer-based classification of premise in tweets related to COVID-19
Automation of social network data assessment is one of the classic challenges of natural language processing.
Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics.
Ranked #2 on
Travel Time Estimation
on TTE-A&O
Citation network applications in a scientific co-authorship recommender system
The problem of co-authors selection in the area of scientific collaborations might be a daunting one.
Hybrid Graph Embedding Techniques in Estimated Time of Arrival Task
Recently, deep learning has achieved promising results in the calculation of Estimated Time of Arrival (ETA), which is considered as predicting the travel time from the start point to a certain place along a given path.
