Seizure detection challenge (2025)
This is the submission form for the seizure detection challenge organized by The International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders (2025) in collaboration with EPFL, ETH and partners.

The description of the challenge along with submission instructions are available on the epilepsybenchmarks.com website.
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Email *
Algorithm description
Algorithm name
*
A short and descriptive name for your algorithm.
Docker image
*
Docker image can be stored on Docker Hub or on any other image registry. The image must be publicly accessible.
List of authors & affiliation *
List of authors as a bullet list with their respective affiliation between brackets. E.g.

  • John Doe (ESL, EPFL)
  • Alice Blackwood (IIS, ETH)
Abstract
*
Abstract that describes your algorithm. We recommend the following structure for abstracts:

  • A clear description of the algorithm, and/or ML model including assumptions and parameters.
  • A description of the input data of the algorithm specifying sampling frequency, and number of channels.
  • A description of the training data.
  • An explanation of any training data that were excluded, and all pre-processing steps.
  • An analysis of measured performance on the publicly available datasets
  • An analysis of the complexity (time, space, sample size) of any algorithm.
License
*
Datasets used for training
*
A list of all datasets you used for training your algorithm.
Required
Algorithm source code
While this is not compulsory, we encourage you to share your algorithm source code including both the training and inference.
Algorithm publication
If your algorithm has already been published, could you share the DOI of the publication?
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