ISSN:
0739-5175
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 5 | Journal not listed on ministry scored journal list 2024 |
Year | Points | List |
---|---|---|
2024 | 5 | Journal not listed on ministry scored journal list 2024 |
2023 | 5 | Not listed on the ministry scored journals list 2023 |
2022 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2021 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2020 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2019 | 5 | Not listed on the ministry scored journals list (2019-2022) |
2018 | 50 | A |
2017 | 50 | A |
2014 | 10 | B |
2013 | 50 | A |
2012 | 30 | A |
2011 | 30 | A |
2010 | 27 | A |
Points CiteScore:
Year | Points |
---|---|
Year 2022 | 0 |
Year | Points |
---|---|
2022 | 0 |
Impact Factor:
Log in to see the Impact Factor.
Papers published in journal
Filters
total: 1
Catalog Journals
Year 2019
-
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublicationComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
seen 463 times