Browse State-of-the-Art › Seizure prediction
Seizure prediction
9 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Melbourne University Seizure Prediction (2 rows) | CNN+FCN | Human Intracranial EEG Quantitative Analysis and Automatic Feature... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (57 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 Oct 2016 2 repositories listed Syntology ran 0 of 17 samples · 17 unverifiedRisk scores are simple classification models that let users make quick risk predictions by adding and subtracting a few small numbers.
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13 Oct 2024 1 repository listedSlimSeiz operates in two states: the first stage selects the optimal channel set for seizure prediction using machine learning algorithms, and the second stage employs a lightweight neural network based on convolution…
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30 Jun 2022 1 repository listedIn individual patients, 71% had a moderate to large difference (ranksum r > 0.
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20 Jun 2022 1 repository listedDuring the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
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15 Mar 2022 1 repository listedWe also compared our results with a control method based on the standard machine learning pipeline (pre-processing, feature extraction, classifier training, and post-processing), where the control marginally…
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25 Mar 2021 1 repository listedSeizures are one of the defining symptoms in patients with epilepsy, and due to their unannounced occurrence, they can pose a severe risk for the individual that suffers it.
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9 Feb 2021 1 repository listedSeizure prediction may improve the quality of life of patients suffering from drug-resistant epilepsy, which accounts for about 30% of the total epileptic patients.
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25 Jun 2020 1 repository listedIn previous studies, decoding electroencephalography (EEG) signals has not considered the topological relationship of EEG electrodes.
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25 Jun 2019 1 repository listedThe resulting method yields a computationally and conceptually simple, interpretable model of EEG signals of preictal and interictal states, which shows a good performance for the task of seizure prediction.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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