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99篇 您的检索式:作者名="LAJOIE P"
    题名 作者 年代 出处 被引量
1Raft-dependent endocytosis of autocrine motility factor is phosphatidylinositol 3-kinase-dependent in breast carcinoma cells 显示文摘Kojic LD Joshi B Lajoie P 2007Biol Chem2007,282,29:1
2Stacked Denoising Autoencoders:Learning Useful Representations in a Deep Network with a Local Denoising Criterion显示文摘Vincent P Larochelle H Lajoie I 2010Journal of Machine Learning Research2010,11,6:1
3Raft-dependent endocytosis of autocrine motility factor is phosphatidylinositol 3-kinase-dependent in breast carcinoma cells显示文摘Kojic LD Joshi B Lajoie P 2007J Biol Chem2007,282,29:1
4Caveolin-1 in tumor progres- sion :the good, the bad and the ugly 显示文摘Goetz JG Lajoie P Wiseman SM et at 2008Cancer Metastasis Rev2008,27,4:1
5Stacked denoising autoenco-ders:learning useful representations in a deep network with a local denoising criterion显示文摘Vincent P Larochelle H Lajoie L 2010Transportation Journal of Machine Lear-ning Research2010,11,12:1
6Mortality due to cancers of the brain and lymphatic tissues and leukemia as a function of agricultural pesticide use in Quebec显示文摘Godon D Lajoie P Thouez J P 1991Canadian Journal of Public Health1991,82,10:1
7Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion 显示文摘VINCENT P LAROCHELLE H LAJOIE I 2010The Journal of Machine Learning Research2010,11,:1
8Caveolin-I in tumor pro gression: the good, the bad and the ugly显示文摘Goetz JG Lajoie P Wiseman SM etal 2008Cancer Metastasis Rev2008,27,4:1
9Stacked denoising autoencoders : learning useful representations in a deep network with a local denoising criterion 显示文摘VINCENT P LAROCHELLE H LAJOIE I 2010Journal of Machine Learning Research2010,11,12:1
10Stacked Denoising Auto-encoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion显示文摘Vincent P Larochelle H Lajoie I 2010Journal of Machine Learning Research2010,11,2010:1
11Stacked denoisingautoencoders: learning useful representations in a deepnetwork with a local denoising criterion显示文摘Vincent P Larochelle H Lajoie I 2010The Journal ofMachine Learning Research2010,11,:1
12Caveolin-1 in tumor progression: the good, the bad and the ugly显示文摘Goetz JG Lajoie P Wiseman SM 2008Cancer Metastasis Rev2008,27,4:1
13Caveolin-1 in tumor progression: the good, the bad and the ugly显示文摘Goetz JG Lajoie P Wiseman SM 2008Cancer Metastasis Rev2008,27,4:1
14Lipid rafts,caveolae,and their endocytosis显示文摘Lajoie P Nabi IR 0,,:1
15Caveolin-1 in tumor progression:the good,the bad and the ugly显示文摘Goetz J G Lajoie P Wiseman S M 2008Cancer Metastasis Rev2008,27,4:1
16Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion显示文摘Vincent P Larochelle H Lajoie I 2010Journal of Machine Learning Research2010,11,:1
17Stacked denoising autoencoders:Learning useful representations in a deep network with a local denoising criterion显示文摘VINCENT P LAROCHELLE H LAJOIE I 2010Journal of Machine Learning Research2010,11,:1
18Stacked denoising autoencoders: learning useful representations in a deep network with a local de- noising criterion 显示文摘VINCENT P LAROCHELLE H LAJOIE I 2010Journal of Machine Learning Research2010,11,12:1
19StackedDenoising Autoencoders: Learning Useful Repre-sentations in a Deep Network with a Local Denois-ing Criterion显示文摘Vincent P Larochelle H Lajoie I 2010Journal of Machine Learning Re-search f2010,11,:1
20Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion显示文摘VINCENT P LAROCHELLE H LAJOIE I 2010Journal of Machine Learning Research2010,11,11:1
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