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在“Elsevier电子期刊”中，命中：1,581条，耗时：0.0399761 秒

在所有数据库中总计命中：4,112条

1.Generalized extreme learning machine autoencoder and a new deep neural network

作者：Kai Sun ^{kai.s@foxmail.com}Author Vitae ; Jiangshe Zhang ; ^{jszhang@mail.xjtu.edu.cn}Author Vitae ; Chunxia Zhang ^{cxzhang@mail.xjtu.edu.cn}Author Vitae ; Junying Hu ^{hujunyingmm@163.com}Author Vitae

关键词：Extreme learning machine ; Generalized extreme learning machine autoencoder ; Manifold regularization ; Deep neural network ; Multilayer generalized extreme learning machine autoencoder

刊名：Neurocomputing

出版年：2017

2.Performance evaluation of deep feature learning for RGB-D image/video classification

作者：Ling Shao ; ^a ; ^b ; ^{ling.shao@ieee.org} ; Ziyun Cai^c ; Li Liu^b ; Ke Lu^d ; ^e

关键词：Deep neural networks ; RGB-D data ; Feature learning ; Performance evaluation

刊名：Information Sciences

出版年：2017

3.Large scale deep learning for computer aided detection of mammographic lesions

作者：Thijs Kooi ; ^a ; ^{thijs.kooi@radboudumc.nl" class="auth_mail" title="E-mail the corresponding author} ; ^{email@thijskooi.com" class="auth_mail" title="E-mail the corresponding author} ; Geert Litjens^a ; Bram van Ginneken^a ; Albert Gubern-Mé ; rida^a ; Clara I. Sá ; nchez^a ; Ritse Mann^a ; Ard den Heeten^b ; Nico Karssemeijer^a

关键词：Computer aided detection ; Mammography ; Deep learning ; Machine learning ; Breast cancer ; Convolutional neural networks

刊名：Medical Image Analysis

出版年：2017

4.The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing

作者：Teng Ma^a ; Hui Li^a ; Hao Yang^a ; Xulin Lv^a ; Peiyang Li^a ; Tiejun Liu^a ; ^b ; Dezhong Yao^a ; ^b ; ^{dyao@uestc.edu.cn} ; Peng Xu^a ; ^b ; ^{xupeng@uestc.edu.cn}

关键词：Motion-onset VEP ; Brain computer interface ; Compressed sensing ; Deep learning ; Multi-modality feature

刊名：Journal of Neuroscience Methods

出版年：2017

5.Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis

作者：Hannelore K. van der Burgh^a ; Ruben Schmidt^a ; Henk-Jan Westeneng^a ; Marcel A. de Reus^b ; Leonard H. van den Berg^a ; ¹ ; Martijn P. van den Heuvel^b ; ¹ ; ^{m.p.vandenheuvel@umcutrecht.nl}

关键词：Deep learning ; Neural network ; Amyotrophic lateral sclerosis ; White matter connectivity ; Survival ; Prediction

刊名：NeuroImage: Clinical

出版年：2017

6.Video pornography detection through deep learning techniques and motion information

作者：Mauricio Perez^aAuthor Vitae ; Sandra Avila^bAuthor Vitae ; Daniel Moreira^aAuthor Vitae ; Daniel Moraes^aAuthor Vitae ; Vanessa Testoni^cAuthor Vitae ; Eduardo Valle^bAuthor Vitae ; Siome Goldenstein^aAuthor Vitae ; Anderson Rocha^a ; ^{anderson.rocha@ic.unicamp.br}Author Vitae

关键词：Pornography classification ; Deep learning and motion information ; Optical flow ; MPEG motion vectors ; Sensitive video classification

刊名：Neurocomputing

出版年：2017

7.Deep learning for plasma tomography using the bolometer system at JET

作者：Francisco A. Matos^a ; Diogo R. Ferreira^a ; ^{diogo.ferreira@tecnico.ulisboa.pt} ; Pedro J. Carvalho^b ; JET Contributors¹ ; EUROfusion Consortium ; JET ; Culham Science Centre ; Abingdon ; OX14 3DB ; UK

关键词：Plasma diagnostics ; Computed tomography ; Neural networks ; Deep learning

刊名：Fusion Engineering and Design

出版年：2017

8.Ontology-based deep learning for human behavior prediction with explanations in health social networks

作者：Nhathai Phan^a ; ^{haiphan@cs.uoregon.edu} ; Dejing Dou^a ; ^{dou@cs.uoregon.edu} ; Hao Wang^a ; ^{hao@cs.uoregon.edu} ; David Kil^b ; ^{david.kil@healthmantic.com} ; Brigitte Piniewski^c ; ^{BPiniewski@peacehealthlabs.org}

关键词：Ontology ; Deep learning ; Social network ; Health informatics

刊名：Information Sciences

出版年：2017

9.Cross-session classification of mental workload levels using EEG and an adaptive deep learning model

作者：Zhong Yin^a ; ^{yinzhong@usst.edu.cn} ; Jianhua Zhang^b

关键词：Human-machine system ; Mental workload ; Electroencephalogram (EEG) ; Deep learning ; Operator functional states

刊名：Biomedical Signal Processing and Control

出版年：2017

10.Deep learning for automated skeletal bone age assessment in X-ray images

作者：C. Spampinato ; ^a ; ^{cspampin@dieei.unict.it} ; S. Palazzo^a ; ^{simone.palazzo@dieei.unict.it} ; D. Giordano^a ; ^{dgiordan@dieei.unict.it} ; M. Aldinucci^b ; ^{aldinuc@di.unito.it} ; R. Leonardi^c ; ^{rleonardi@unict.it}

关键词：Convolutional neural networks ; Deep learning for medical images ; Tanner&ndash ; Whitehouse ; Greulich and Pyle

刊名：Medical Image Analysis

出版年：2017

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