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Automatic seizure detection using three-dimensional CNN based on multi-channel EEG
TLDR
We proposed a new three-dimensional (3D) convolutional neural network (CNN) structure, whose inputs are multi-channel Electroencephalogram (EEG) data. Expand
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Early prediction of epileptic seizures using a long-term recurrent convolutional network
TLDR
This study describes the LRCN network for analyzing EEG data to predict epileptic seizures, thereby enabling the implementation of an early warning system that detects epileptic seizure before they occur in clinical applications. Expand
  • 8
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Chebyshev kernel with orthogonal features
  • Xiaoyan Wei, Zhibin Pan
  • Computer Science
  • International Conference on Computer Science and…
  • 24 September 2012
TLDR
We propose a new kernel named Chebyshev kernel which determines a nonlinear mapping with orthogonal features. Expand
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A High Performance, Spatiotemporal Statistical Analysis System Based on a Spatiotemporal Cloud Platform
TLDR
We develop a high performance, spatiotemporal statistical analysis system (Geostatistics-Hadoop) to support analyses of the First National Geographic Condition Data Acquisition database of China. Expand
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Epileptic foci localization based on mapping the synchronization of dynamic brain network
  • Tian Mei, Xiaoyan Wei, +4 authors Yi Zhou
  • Computer Science, Medicine
  • BMC Medical Informatics and Decision Making
  • 31 January 2019
TLDR
A dynamic brain network for epilepsy patients when they were awake, asleep and in seizure, analyzing the changing topology indexes. Expand
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Data augmentation in microscopic images for material data mining
TLDR
We develop a novel transfer learning strategy to address problems of small or insufficient data. Expand
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An Efficient Optimization Approach for Top-k Queries on Uncertain Data
TLDR
An efficient optimization approach for evaluating Top-k query on uncertain data based on dominant relationship analysis . Expand
  • 3
A graph based transductive ranking algorithm
  • Zhibin Pan, Xiaoyan Wei
  • Mathematics, Computer Science
  • 9th International Conference on Fuzzy Systems and…
  • 29 May 2012
Semi-supervised ranking is a newly developed machine learning problem. In this paper, based on the graph constructed on both labeled and unlabeled data points, we propose a novel semi-supervisedExpand
  • 1
WPU-Net: Boundary learning by using weighted propagation in convolution network
TLDR
We propose WPU-net that redesigns the architecture and weighted loss of U-Net that forces the network to integrate information from adjacent slices and pays more attention to the topology in boundary detection task. Expand
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Style transfer based data augmentation in material microscopic image processing
TLDR
We present an approach to rapidly create microscopic images with pixel-level labels from material 3d simulated models, which simulate the growth of polycrystal. Expand