Jun 24, 2022 � To help experts with designing machine-learning models, we propose a neural-architecture and feature search approach, which optimizes the�...
Feb 23, 2022 � Abstract—Accurately predicting the ridership of public-transit routes provides substantial benefits to both transit agencies, who.
Accurately predicting the maximum occupancy of each scheduled transit-vehicle trip is crucial since it enables the transit agency to prevent crowding by�...
To help experts with designing machine-learning models, we propose a neural-architecture and feature search approach, which optimizes the architecture and�...
Jul 17, 2022 � To help experts with designing machine-learning models, we propose a neural-architecture and feature search approach, which optimizes the�...
Jun 1, 2022 � In this paper, we propose the use and fusion of data from multiple sources, cleaned, processed, and merged together, for use in training machine�...
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One of the advantages of CNN architecture is that convolution layers are sparsely connected to the input, instead of fully connected as in the case of simple�...
Jun 21, 2022 � Neural Architecture and Feature Search for. Predicting the Ridership of. Public Transportation Routes ... •Improving prediction accuracy by�...
Laszka, Neural Architecture and Feature Search for Predicting the Ridership of Public Transportation Routes, in 8th IEEE International Conference on Smart�...