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To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods., and . CoRR, (2019)Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset., , , , , , and . Comput. Biol. Medicine, (2020)High-dimensional MRI data analysis using a large-scale manifold learning approach., , , , , , and . Mach. Vis. Appl., 24 (5): 995-1014 (2013)Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction., , , and . MLMI, volume 8184 of Lecture Notes in Computer Science, page 219-226. Springer, (2013)Solve fraud detection problem by using graph based learning methods., , , and . CoRR, (2019)Noise-robust classification with hypergraph neural network., , and . CoRR, (2021)Application of three graph Laplacian based semisupervised learning methods to protein function prediction problem. International Journal on Bioinformatics & Biosciences (IJBB), Volume 3 (Number 2): 11-26 (June 2013)The Un-normalized Graph p-Laplacian Based Semi-supervised Learning Method and Protein Function Prediction Problem.. KSE (1), volume 244 of Advances in Intelligent Systems and Computing, page 23-35. Springer, (2013)Prediction of brain tumor progression using multiple histogram matched MRI scans., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79632U. SPIE, (2011)Adaptive graph construction for Isomap manifold learning., , , and . Image Processing: Algorithms and Systems, volume 9399 of SPIE Proceedings, page 939904. SPIE, (2015)