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Published in 2023 at "International journal of surgery"
DOI: 10.1097/js9.0000000000000408
Abstract: BACKGROUND Learning curves of laparoscopic distal pancreatectomy (LDP) are mostly based on 'self-taught' surgeons who acquired sufficient proficiency largely through self-teaching. No learning curves have been investigated for 'trained' surgeons who received training and built…
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Keywords:
proficiency;
trained surgeons;
curves laparoscopic;
learning curves ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3266565
Abstract: In recent years, deep learning models, which possess powerful feature extraction abilities, have achieved remarkable success in the classification of hyperspectral images (HSIs). Nevertheless, a common challenge faced by most deep learning models, including few-shot…
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Keywords:
network;
cross domain;
classification;
domain ... See more keywords
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Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.3.033014
Abstract: Abstract. Existing deep hashing algorithms fail to achieve satisfactory results from unseen data owing to the out-of-sample problem. Graph-embedding-based hashing methods alleviate this by learning the distance between samples. However, they focus on the first-order…
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Keywords:
deep graph;
self taught;
using deep;
image ... See more keywords
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Published in 2020 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2020.00752
Abstract: Multiple studies have demonstrated that musicians have enhanced auditory processing abilities compared to non-musicians. In these studies, musicians are usually defined as having received some sort of formal music training. One issue with this definition…
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Keywords:
trained musicians;
formally trained;
auditory processing;
self taught ... See more keywords