Distribution of the average embeddings. by Yiming Kuang (22120458)

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Results on STL-10 at 500 epoch. by Yiming Kuang (22120458)

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Results on CIFAR-10 & CIFAR-100. by Yiming Kuang (22120458)

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Visualization of PiCLoss. by Yiming Kuang (22120458)

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Speed and Memory Metrics. by Yiming Kuang (22120458)

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Image augmentation methods. by Yiming Kuang (22120458)

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Results on STL-10 with batch size = 256. by Yiming Kuang (22120458)

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Supplementary file 1_Deep learning-based automated quantification system for abdominal aortic calcification: multicenter cohort study for algorithm development and clinical validat... by Zhenhong Shao (22465513)

Example of a HS being wrongly detected by the GRF threshold method due to foot-dragging. by Xiaowen Chen (192197)

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Comparison between individual and final models. The GRF and heel model are the models trained using only the ipsilateral GRF signal and only the ipsilateral heel height signal, res... by Xiaowen Chen (192197)

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Neural network error metrics for training and testing data sets. The neural network performs similarly between training and testing trial sets and performs slightly better for trai... by Xiaowen Chen (192197)

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Signals around one of the extra events detected by the final model. by Xiaowen Chen (192197)

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Sample plot of the confidence curve. by Xiaowen Chen (192197)

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Matrix of comparison of the proposed method with other methods. The new method shows significantly lower ME, MAE, and STD, and the highest SR and DR among all methods shown in this... by Xiaowen Chen (192197)

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Difference between LSTM and manual (a) heel strikes and (b) toe offs for all trials. by Xiaowen Chen (192197)

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Representative model confidence output for a no-exoskeleton testing trial. by Xiaowen Chen (192197)

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Relocated markers. by Xiaowen Chen (192197)

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Summary metrics for differences between LSTM and manual events for all trials from all subjects. All error metrics were extremely small for both HS and TO. However, the TO detectio... by Xiaowen Chen (192197)

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ROC-AUC comparison before balancing by SMOTE (Tenfold CV). by Daniel Niguse Mamo (16813898)

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Training accuracy and ROC-AUC comparison after balancing by SMOTE. by Daniel Niguse Mamo (16813898)

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