The measurement of progress using benchmarks evaluations is ubiquitous i...
Time Series Classification and Extrinsic Regression are important and
ch...
Objective: This article presents an automatic image processing framework...
Time series classification (TSC) is the area of machine learning interes...
Time series classification (TSC) is the area of machine learning interes...
Purpose: Manual feedback from senior surgeons observing less experienced...
Transfer learning for deep neural networks is the process of first train...
An important part of Digital Pathology is the analysis of multiple digit...
Time Series Classification (TSC) is an important and challenging problem...
Data augmentation in deep neural networks is the process of generating
a...
Surgical data science is a scientific discipline with the objective of
i...
The need for automatic surgical skills assessment is increasing, especia...
We propose two general and falsifiable hypotheses about expectations on
...
Because of the data deluge in scientific publication, finding relevant
i...