Hi Kagglers,
\nWe’re happy to announce the conclusion of the HMS - Harmful Brain Activity Classification competition. Thank you everyone for your participation!
\nThis competition ended with 17,249 registrations and 3,507 participants on 2,767 teams. We had 62,509 submissions from 113 countries. For 697 users (including 20 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nHappy Modeling!
\nKaggle Team
Hi Kagglers,
\nWe’re happy to announce the conclusion of the HMS - Harmful Brain Activity Classification competition. Thank you everyone for your participation!
\nThis competition ended with 17,249 registrations and 3,507 participants on 2,767 teams. We had 62,509 submissions from 113 countries. For 697 users (including 20 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!
\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.
\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact compliance. Please fill in all the fields honestly.
\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see instructions). You may also refer to Kaggle Solution Write-Up Documentation for guidance. You are also encouraged to publish your models on Kaggle Models!
\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!
\nHappy Modeling!
\nKaggle Team
It's an enjoyable journey! I learned a lot. Thank you for organizing this excellent competition!!!
", "rawMarkdown": "It's an enjoyable journey! I learned a lot. Thank you for organizing this excellent competition!!!", "votes": null }, { "id": "2745115", "postDate": "04/10/2024 11:45:08", "content": "It was a fruitful journey, the discussions alone left a lot to explore, since the Data of the competition is under Attribution-NonCommercial 4.0 International, does that mean I can use it for research purposes for publishing research papers?
", "rawMarkdown": "It was a fruitful journey, the discussions alone left a lot to explore, since the Data of the competition is under Attribution-NonCommercial 4.0 International, does that mean I can use it for research purposes for publishing research papers?", "votes": null }, { "id": "2745229", "postDate": "04/10/2024 13:25:13", "content": "Hi Anju, You should really have let people know that the test distribution was different from the training data (from which we'd get our validation sets) and also that some labels were real and some were inferred.
", "rawMarkdown": "Hi Anju, You should really have let people know that the test distribution was different from the training data (from which we'd get our validation sets) and also that some labels were real and some were inferred.", "votes": null }, { "id": "2747565", "postDate": "04/12/2024 01:03:20", "content": "Thanks @mohamedzayedahmed! For the Data Access and Use, you may refer to the following rules details:
\n\n", "rawMarkdown": "Thanks @mohamedzayedahmed! For the Data Access and Use, you may refer to the following rules details:\n\n>A. *Data Access and Use*. \n*Competition Use and Non-Commercial & Academic Research*: You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n \n>The Competition Data is also subject to the following terms and conditions: [CC BY-NC 4.0 (AttributionNonCommercial 4.0 International)](https://creativecommons.org/licenses/by-nc/4.0/). To the extent that the terms and conditions located at the URL conflict with or are inconsistent with these Rules, these Rules will govern your use of the Competition Data.", "votes": null }, { "id": "2880612", "postDate": "06/20/2024 09:42:04", "content": "A. Data Access and Use.
\n
\n Competition Use and Non-Commercial & Academic Research: You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.The Competition Data is also subject to the following terms and conditions: CC BY-NC 4.0 (AttributionNonCommercial 4.0 International). To the extent that the terms and conditions located at the URL conflict with or are inconsistent with these Rules, these Rules will govern your use of the Competition Data.
\n
Cool, nice competition
", "rawMarkdown": "Cool, nice competition", "votes": null }, { "id": "3031890", "postDate": "10/30/2024 08:55:53", "content": "How should I cite the source of this dataset in my paper?
", "rawMarkdown": "How should I cite the source of this dataset in my paper?", "votes": null } ], "comments": [ { "id": 2744521, "author_name": "zijiangyang1116", "author_url": "", "post_date": "04/10/2024 00:47:22", "content": "It's an enjoyable journey! I learned a lot. Thank you for organizing this excellent competition!!!
", "votes": null, "replies": [] }, { "id": 2745115, "author_name": "mohamedzayedahmed", "author_url": "", "post_date": "04/10/2024 11:45:08", "content": "It was a fruitful journey, the discussions alone left a lot to explore, since the Data of the competition is under Attribution-NonCommercial 4.0 International, does that mean I can use it for research purposes for publishing research papers?
", "votes": null, "replies": [ { "id": 2747565, "author_name": "ashleychow", "author_url": "", "post_date": "04/12/2024 01:03:20", "content": "Thanks @mohamedzayedahmed! For the Data Access and Use, you may refer to the following rules details:
\n\n", "votes": null, "replies": [ { "id": 3031890, "author_name": "limsehwan", "author_url": "", "post_date": "10/30/2024 08:55:53", "content": "A. Data Access and Use.
\n
\n Competition Use and Non-Commercial & Academic Research: You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.The Competition Data is also subject to the following terms and conditions: CC BY-NC 4.0 (AttributionNonCommercial 4.0 International). To the extent that the terms and conditions located at the URL conflict with or are inconsistent with these Rules, these Rules will govern your use of the Competition Data.
\n
How should I cite the source of this dataset in my paper?
", "votes": null, "replies": [] } ] } ] }, { "id": 2745229, "author_name": "idithhaber", "author_url": "", "post_date": "04/10/2024 13:25:13", "content": "Hi Anju, You should really have let people know that the test distribution was different from the training data (from which we'd get our validation sets) and also that some labels were real and some were inferred.
", "votes": null, "replies": [] }, { "id": 2880612, "author_name": "marcoparola7", "author_url": "", "post_date": "06/20/2024 09:42:04", "content": "Cool, nice competition
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2744513": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the HMS - Harmful Brain Activity Classification competition. Thank you everyone for your participation!\n\nThis competition ended with 17,249 registrations and 3,507 participants on 2,767 teams. We had 62,509 submissions from 113 countries. For 697 users (including 20 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking! \n\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nHappy Modeling!\nKaggle Team", "2744521": "It's an enjoyable journey! I learned a lot. Thank you for organizing this excellent competition!!!", "2745115": "It was a fruitful journey, the discussions alone left a lot to explore, since the Data of the competition is under Attribution-NonCommercial 4.0 International, does that mean I can use it for research purposes for publishing research papers?", "2745229": "Hi Anju, You should really have let people know that the test distribution was different from the training data (from which we'd get our validation sets) and also that some labels were real and some were inferred.", "2747565": "Thanks @mohamedzayedahmed! For the Data Access and Use, you may refer to the following rules details:\n\n>A. *Data Access and Use*. \n*Competition Use and Non-Commercial & Academic Research*: You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n \n>The Competition Data is also subject to the following terms and conditions: [CC BY-NC 4.0 (AttributionNonCommercial 4.0 International)](https://creativecommons.org/licenses/by-nc/4.0/). To the extent that the terms and conditions located at the URL conflict with or are inconsistent with these Rules, these Rules will govern your use of the Competition Data.", "2880612": "Cool, nice competition", "3031890": "How should I cite the source of this dataset in my paper?" }, "source": "meta" }