A Demo: A Robust Engineering Framework of Cross-subject Gestrue Classification for Real-time Implementation based on High-density sEMG

Homepage for STAT 157 at UC Berkeley

🌟 ChatGenTitle：使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型

ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议

Matlab code: Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis (DOI: 10.1109/TNSRE.2023.3243290)

Code for "Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization" (ICASSP 2021)

Matlab codes for Semi-Supervised Shapelets Learning

DL model estimating vigilance levels using multimodal EEG and EOG

A Python package for time series classification

A PyTorch implementation of learning shapelets from the paper Grabocka et al., „Learning Time-Series Shapelets“.

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

A highly generic time series decomposition algorithm, applicable to temporal sequence segmentation (e.g., video, speech, motion sequences).

Embedding the Learning of Multivariate Shapelets in a Multi-Layer Neural Network

Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets

Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

This project implements the code to classify the multivariate time series data generated from sensors using shape mining approach.

Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "InterpretableCNN" that allows sample wise analysis of import…

Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.

A Library for Advanced Deep Time Series Models.

CodeGPT: A Code-Related Dialogue Dataset Generated by GPT and for GPT

Python package for SSVEP datasets and algorithms. Corresponding paper has been accepted by IEEE TNSRE (DOI: 10.1109/TNSRE.2024.3424410)

Here I compare two implementation approaches of TRCA in Matlab.

Common Spatial Generative Adversarial Networks based Data Augmentation for Cross-Subject Brain-Computer Interfacet