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Aggressive Behavior, Volume 49, Issue 1, Page 85-95, January 2023., 2023 Abstract The past two decades have produced extensive evidence on the manifold and severe outcomes for victims of aggression exposure in the workplace. However, due to the dominating individual‐centered approach, most findings miss a social network perspective.
Alexander Herrmann +2 more
wiley +1 more source
Deep Residual Learning for Image Recognition [PDF]
Computer Vision and Pattern Recognition, 2015 Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously.
Kaiming He +3 more
semanticscholar +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
A Comprehensive Survey on Transfer Learning [PDF]
Proceedings of the IEEE, 2019 Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains.
Fuzhen Zhuang +7 more
semanticscholar +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Entry into the field of clinical medical physics is most commonly accomplished through the completion of a Commission on Accreditation of Medical Physics Educational Programs (CAMPEP)‐accredited graduate and residency program. To allow a mechanism to bring valuable expertise from other disciplines into clinical practice in medical physics, an “
Joann I. Prisciandaro +6 more
wiley +1 more source
e-Learning at the Coimbra Group Universities
Je-LKS: Journal of E-Learning and Knowledge Society, 2012 This document is the result of a Strategic Workshop held in Leuven by the Task Force e-Learning (TF eL) of the Coimbra Group (CG), followed by a series of meetings with the TF members on this issue.
Task Force e-Learning Coimbra Group
doaj +1 more source
Deep Reinforcement Learning with Double Q-Learning [PDF]
AAAI Conference on Artificial Intelligence, 2015 The popular Q-learning algorithm is known to overestimate action values under certain conditions. It was not previously known whether, in practice, such overestimations are common, whether they harm performance, and whether they can generally be ...
H. V. Hasselt, A. Guez, David Silver
semanticscholar +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose A set of treatment planning strategies were designed and retrospectively implemented for locally advanced, non‐small cell lung cancer (NSCLC) patients in order to minimize cardiac dose without compromising target coverage goals. Methods Retrospective analysis was performed for 20 NSCLC patients prescribed to 60–66 Gy that received a ...
Joshua P. Kim +5 more
wiley +1 more source
MedEdPORTAL, 2015 Introduction Bloom's Taxonomy has become a gold standard for writing learning objectives. Originally developed in the 1950's by Benjamin Bloom and revised in the 1990's by Lorin Anderson, Bloom's Taxonomy is a hierarchical model for organizing thinking ...
Jeanne Schlesinger +2 more
doaj +1 more source
A survey on Image Data Augmentation for Deep Learning
Journal of Big Data, 2019 Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very
Connor Shorten, T. Khoshgoftaar
semanticscholar +1 more source