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03/07/2023
Investigating and modeling day-to-day route choices based on laboratory experiments. Part II: A route-dependent attraction-based stochastic process model
To explain day-to-day (DTD) route-choice behaviors and traffic dynamics ...
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03/07/2023
Investigating day-to-day route choices based on multi-scenario laboratory experiments. Part I: Route-dependent attraction and its modeling
In the area of urban transportation networks, a growing number of day-to...
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07/16/2020
Camera Bias in a Fine Grained Classification Task
We show that correlations between the camera used to acquire an image an...
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06/15/2020
A study of the effect of the illumination model on the generation of synthetic training datasets
The use of computer generated images to train Deep Neural Networks is a ...
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05/23/2019
Watermark retrieval from 3D printed objects via synthetic data training
We present a deep neural network based method for the retrieval of water...
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11/20/2018
A Baseline for Multi-Label Image Classification Using An Ensemble of Deep Convolutional Neural Networks
Recent studies on multi-label image classification have focused on desig...
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11/20/2018