Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem
暂无分享,去创建一个
[1] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[2] Lluís A. Belanche Muñoz,et al. Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors , 2010, Neurocomputing.
[3] Carles Arús,et al. Automated classification of short echo time in in vivo 1H brain tumor spectra: A multicenter study , 2003, Magnetic resonance in medicine.
[4] Lluís A. Belanche Muñoz,et al. Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database , 2009, Neurocomputing.
[5] I. Hassan. Embedded , 2005, The Cyber Security Handbook.
[6] Alfredo Vellido,et al. Semi-supervised geodesic Generative Topographic Mapping , 2010, Pattern Recognit. Lett..
[7] Paulo J. G. Lisboa,et al. Neural Networks and Other Machine Learning Methods in Cancer Research , 2007, IWANN.
[8] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[9] Raúl Cruz Barbosa,et al. On Geodesic Distance Computation: An Experimental Study , 2011 .
[10] Sabine Van Huffel,et al. The effect of combining two echo times in automatic brain tumor classification by MRS , 2008, NMR in biomedicine.
[11] Michel Verleysen,et al. Nonlinear Dimensionality Reduction , 2021, Computer Vision.
[12] Robert E. Tarjan,et al. Fibonacci heaps and their uses in improved network optimization algorithms , 1984, JACM.
[13] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[14] M. Julià-Sapé,et al. A Multi-Centre, Web-Accessible and Quality Control-Checked Database of in vivo MR Spectra of Brain Tumour Patients , 2006, Magnetic Resonance Materials in Physics, Biology and Medicine.
[15] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[16] Alberto Prieto,et al. Computational and ambient intelligence , 2009, Neurocomputing.
[17] Paulo J. G. Lisboa,et al. Application notes: data mining in cancer research , 2010 .
[18] Paulo J. G. Lisboa,et al. Data Mining in Cancer Research [Application Notes] , 2010, IEEE Computational Intelligence Magazine.