no code implementations • 3 Apr 2024 • Hanxuan Wang, Na Lu, Zixuan Wang, Jiacheng Liu, Jun Liu
TSA-ENRT utilizes an expert guiding nonlinear regression tree to approximate the neural network prediction and the neural network can be explained by the interpretive rules generated by the tree model.
no code implementations • 28 Nov 2023 • Zhihao Kong, Amirhossein Mollaali, Christian Moya, Na Lu, Guang Lin
This work redesigns MIONet, integrating Long Short Term Memory (LSTM) to learn neural operators from time-dependent data.
no code implementations • 21 Sep 2023 • Xu Niu, Na Lu, Huan Luo, Ruofan Yan
Based on this concept, the first deep learning end-to-end network is developed, which directly extracts phase synchrony-based features from raw EEG signals and perform classification.
no code implementations • 21 Feb 2022 • Hanxuan Wang, Na Lu, Qinyang Liu
First, most cluster assignment methods are based on simple distance comparison and highly dependent on the target distribution generated by a handcrafted nonlinear mapping.
no code implementations • 29 Jun 2018 • Zhiyan Cui, Na Lu
RoIPool could lose some positioning precision because it can not handle locations represented by floating numbers.
no code implementations • 20 Jul 2015 • Na Lu, Hongyu Miao
Tree-structured data usually contain both topological and geometrical information, and are necessarily considered on manifold instead of Euclidean space for appropriate data parameterization and analysis.