4 citations · 6 across the 3 of their papers we have counts for
3 papers
Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data
Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi
This paper addresses the learning task of estimating driver drowsiness from the signals of car acceleration sensors. Since even drivers themselves cannot perceive their own drowsin…
Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1
Lung nodule classification is a class imbalanced problem, as nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classifiers…
Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao +1
Lung nodule classification is a class imbalanced problem because nodules are found with much lower frequency than non-nodules. In the class imbalanced problem, conventional classif…