drwuHUST / MBGD_UR_BNLinks
Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization," IEEE Trans. on Fuzzy Systems, 28(12):3065-3075, 2020." Python source code is available at https://github.com/YuqiCui/TSK_BN_UR
☆15Updated 4 years ago
Alternatives and similar repositories for MBGD_UR_BN
Users that are interested in MBGD_UR_BN are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of TSK fuzzy sytems.☆17Updated 5 years ago
- ☆52Updated 3 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆80Updated 4 months ago
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17Updated 4 years ago
- Official Pytorch Implementation of the paper Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling☆19Updated 3 years ago
- SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging☆56Updated 4 years ago
- ☆15Updated 6 years ago
- TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification☆71Updated last year
- Fuzzy Deep Neural Network.☆59Updated 2 years ago
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆21Updated 2 years ago
- Emotion Recognition using PSO and SVM☆15Updated 4 years ago
- ☆10Updated 4 years ago
- The code of “Deep Spatial-Temporal Feature Fusion from Adaptive Dynamic Functional Connectivity for MCI Classification”☆12Updated 3 years ago
- BroadCF (Broad Collaborative Filtering) is one of the BroadRS algorithms, a series of recommendation algorithms based on broad learning …☆14Updated 2 years ago
- ☆9Updated 3 years ago
- here is the introduce of bls☆69Updated 4 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆44Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 3 years ago
- Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering☆15Updated last year
- ☆13Updated last year
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learnin…☆12Updated 2 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Weighted LSSVM for regression☆38Updated 6 years ago
- SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging☆38Updated last year
- Regression with SVR, CNN and CNN-LSTM☆14Updated 5 years ago
- The official implementation of SDGL☆33Updated last year
- Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch☆26Updated last year
- ☆28Updated 2 years ago
- A Pytorch implementation of our paper "Adaptive Spatial-Temporal Aware Graph Learning for EEG-based Emotion Recognition".☆17Updated last year