A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks [PDF]
arXiv, 2022 Deep neural networks (DNNs) often rely on massive labelled data for training, which is inaccessible in many applications. Data augmentation (DA) tackles data scarcity by creating new labelled data from available ones. Different DA methods have different mechanisms and therefore using their generated labelled data for DNN training may help improving DNN'
arxiv
Three-Dimensional Electronic Structure of type-II Weyl Semimetal WTe$_2$ [PDF]
Phys. Rev. Lett. 119, 026403 (2017), 2017 By combining bulk sensitive soft-X-ray angular-resolved photoemission spectroscopy and accurate first-principles calculations we explored the bulk electronic properties of WTe$_2$, a candidate type-II Weyl semimetal featuring a large non-saturating magnetoresistance.
arxiv +1 more source
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs [PDF]
arXiv, 2020 Most visual analytics systems assume that all foraging for data happens before the analytics process; once analysis begins, the set of data attributes considered is fixed. Such separation of data construction from analysis precludes iteration that can enable foraging informed by the needs that arise in-situ during the analysis.
arxiv
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning [PDF]
arXiv, 2023 Data augmentation (DA) is a crucial technique for enhancing the sample efficiency of visual reinforcement learning (RL) algorithms. Notably, employing simple observation transformations alone can yield outstanding performance without extra auxiliary representation tasks or pre-trained encoders. However, it remains unclear which attributes of DA account
arxiv
Tratamento cirúrgico de malformação digital congénita do membro superior [PDF]
, 2014 ResumoIntroduçãoAs malformações arteriovenosas (MAV) podem ter uma apresentação clínica e evolução imprevisíveis. Por isso, o seu tratamento é ainda um desafio entre as várias patologias vasculares.
Borges, Lisa +5 more
core +1 more source
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation [PDF]
arXiv, 2022 The prime challenge in unsupervised domain adaptation (DA) is to mitigate the domain shift between the source and target domains. Prior DA works show that pretext tasks could be used to mitigate this domain shift by learning domain invariant representations.
arxiv
Electronic properties of type-II Weyl semimetal WTe$_2$. A review perspective [PDF]
Electron. Struct. 1, 014003 (2019), 2018 Currently, there is a flurry of research interest on materials with an unconventional electronic structure, and we have already seen significant progress in their understanding and engineering towards real-life applications. The interest erupted with the discovery of graphene and topological insulators in the previous decade.
arxiv +1 more source
Revista Brasileira de Cancerologia, 2008 O câncer e seu tratamento podem levar a situações clínicas que necessitam de intervenção terapêutica urgente, sendo que o atraso na instituição do tratamento pode levar à morte ou seqüela permanente.
Carlos Eduardo Paiva +3 more
doaj +1 more source
Evaluation of adrenal tumors by magnetic resonance imaging with histological correlation [PDF]
, 2008 A ressonância magnética é ferramenta importante para a detecção e caracterização dos tumores adrenais. O conhecimento das diferentes apresentações dos tumores primários e secundários à ressonância magnética e sua correlação com dados da histologia são ...
BARONI, Ronaldo Hueb +9 more
core +2 more sources
The Herschel-ATLAS: The dust energy balance in the edge-on spiral galaxy UGC 4754 [PDF]
, 2010 We use Herschel PACS and SPIRE observations of the edge-on spiral galaxy UGC 4754, taken as part of the H-ATLAS SDP observations, to investigate the dust energy balance in this galaxy. We build detailed SKIRT radiative models based on SDSS and UKIDSS maps and use these models to predict the far-infrared emission.
arxiv +1 more source