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05/19/2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
The measurement of progress using benchmarks evaluations is ubiquitous i...
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09/11/2019
InceptionTime: Finding AlexNet for Time Series Classification
Time series classification (TSC) is the area of machine learning interes...
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09/11/2019
DreamTime: Finding AlexNet for Time Series Classification
Time series classification (TSC) is the area of machine learning interes...
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08/20/2019
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Purpose: Manual feedback from senior surgeons observing less experienced...
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11/05/2018
Transfer learning for time series classification
Transfer learning for deep neural networks is the process of first train...
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09/12/2018
Deep learning for time series classification: a review
Time Series Classification (TSC) is an important and challenging problem...
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08/07/2018
Data augmentation using synthetic data for time series classification with deep residual networks
Data augmentation in deep neural networks is the process of generating a...
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06/07/2018
Evaluating surgical skills from kinematic data using convolutional neural networks
The need for automatic surgical skills assessment is increasing, especia...
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09/28/2017
