Nested cross-validation based adaptive sparse representation algorithm and its application to pathological brain classification
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Ajith Abraham | Lingraj Dora | Rutuparna Panda | Sanjay Agrawal | Rutuparna Panda | A. Abraham | S. Agrawal | Lingraj Dora | Sanjay Agrawal
[1] Abhishek Midya,et al. Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns , 2018, Expert Syst. Appl..
[2] Yu Zhang,et al. Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces , 2018, Expert Syst. Appl..
[3] M. Mahesh,et al. Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification , 2018, Expert Syst. Appl..
[4] Yuval Elovici,et al. Quantifying the resilience of machine learning classifiers used for cyber security , 2018, Expert Syst. Appl..
[5] Lingraj Dora,et al. Gauss-Newton Representation Based Algorithm for Magnetic Resonance Brain Image Classification , 2017, ISDA.
[6] Ajith Abraham,et al. Optimal breast cancer classification using Gauss-Newton representation based algorithm , 2017, Expert Syst. Appl..
[7] H. Hannah Inbarani,et al. Hybrid Tolerance Rough Set-Firefly based supervised feature selection for MRI brain tumor image classification , 2016, Appl. Soft Comput..
[8] Yudong Zhang,et al. A Multilayer Perceptron Based Smart Pathological Brain Detection System by Fractional Fourier Entropy , 2016, Journal of Medical Systems.
[9] Yudong Zhang,et al. Pathological Brain Detection by a Novel Image Feature - Fractional Fourier Entropy , 2015, Entropy.
[10] Preetha Phillips,et al. Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine , 2015, SpringerPlus.
[11] Li Yao,et al. Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment , 2015, Comput. Methods Programs Biomed..
[12] Nooshin Nabizadeh,et al. Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features , 2015, Comput. Electr. Eng..
[13] Shyr-Shen Yu,et al. Automatic detection of abnormal mammograms in mammographic images , 2015, Expert Syst. Appl..
[14] Kenneth Revett,et al. Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm , 2014, Expert Syst. Appl..
[15] Tae-Sun Choi,et al. Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor , 2014, Appl. Soft Comput..
[16] Yudong Zhang,et al. AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT , 2012 .
[17] Jian Yang,et al. A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[18] Abdel-Badeeh M. Salem,et al. Hybrid intelligent techniques for MRI brain images classification , 2010, Digit. Signal Process..
[19] Christos Davatzikos,et al. Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme , 2009, Magnetic resonance in medicine.
[20] M. Abid,et al. Detection of brain tumor in medical images , 2009, 2009 3rd International Conference on Signals, Circuits and Systems (SCS).
[21] Guy Lapalme,et al. A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..
[22] Baowei Fei,et al. A modified fuzzy C-means classification method using a multiscale diffusion filtering scheme , 2009, Medical Image Anal..
[23] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[25] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[26] Lalit M. Patnaik,et al. Classification of magnetic resonance brain images using wavelets as input to support vector machine and neural network , 2006, Biomed. Signal Process. Control..
[27] Constantin F. Aliferis,et al. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis , 2004, Bioinform..
[28] Juha Reunanen,et al. Overfitting in Making Comparisons Between Variable Selection Methods , 2003, J. Mach. Learn. Res..
[29] J. Thijssen,et al. Characterization of echographic image texture by cooccurrence matrix parameters. , 1997, Ultrasound in medicine & biology.
[30] Philip E. Gill,et al. Practical optimization , 1981 .