xkazm / asfa Goto Github PK
View Code? Open in Web Editor NEWCode for ASFA ("Privacy-Preserving Domain Adaptation for Motor Imagery-based Brain-Computer Interfaces")
Code for ASFA ("Privacy-Preserving Domain Adaptation for Motor Imagery-based Brain-Computer Interfaces")
Hello!
I am very sorry to disturb you! You mentioned in the README.md file that the datasets are downloaded via MOABB: "Please manually download the datasets BNCI2014001, BNCI2014002, BNCI2014004 by MOABB.".
However, in your ASFA.py, line 257 reads "datasets = ['BNCI2014012', 'BNCI2014014', 'BNCI201402', 'BNCI201501-2', 'BNCI2014014-A', 'BNCI2014014-B']".
The names of these two data sets do not correspond to each other, can you tell me how to solve this problem?**
Dear Author,
I recently read your paper and tried to reproduce your results using the MI 2 dataset's left/right hand 2-classification and left/right hand, foot, and tongue 4-classification train data for training and testing. However, I found that when using the 2-classification train data, the ASFA algorithm's accuracy results were only 72.99%-73.84%, which is about 2% lower than the 74.18%-75.06% reported in your paper. The same situation also occurred with the 4-classification train data, where my accuracy results were 54.01%-55.25%, while your reported accuracy results in the paper were 56.92%-57.78%.
I wanted to ask if this difference is within your expectations or if there could be any issues with your code or parameter settings. If possible, could you provide some assistance to help me better understand these results and try to address this issue?
Thank you for writing this paper and providing the source code on Github. I look forward to hearing back from you.
Thank you!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.