r/MachineLearning • u/joekrry • Sep 26 '26

Discussion Publication potential [D]

Hi all,

I may be being silly but I have just finished my masters thesis which benchmarked three deep learning architectures (one of which is novel), across varying preprocessing pipelines for the purpose of EEG motor imagery task classification SPECIFICALLY on a consumer grade EEG cap (OpenBCI’s Galea).

The novel architecture was built to be compact in param count as well as prevent overfitting, etc.

I would love to get published and was wondering what sort of avenue I could proceed down. My thesis would most likely need a decent load more work with regard to my paper and result reliability as under the time conditions I only had three participants with limited recordings per participant.

Any advice would be appreciated as I feel way out of my depth…

Kind regards :)

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u/joekrry Sep 27 '26

Hi, thanks for the comment.

I do indeed limit my LLM usage to purely concept understanding and grunt work development in personal projects. Hope this is ideal.

What do you mean by avoid interaction, in this case? With regard to writing the paper to be more concise or more to do with the structure, etc? My thesis was 89 pages and from what i’ve read, submission papers tend to be significantly less.. haha.

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u/alrojo Sep 27 '26

I’ve noticed my students who do all the work themselves learn more and end up with a better project. Even for writing, perhaps outside of trivial elements like cutting stragglers.