{ "id": 466721, "title": "Adjutant resources to refer", "url": "/competitions/hms-harmful-brain-activity-classification/discussion/466721", "author_name": "Ravi Ramakrishnan", "post_date": "2024-01-09T18:28:06.912000", "votes": 15, "comment_count": 2, "views": 0, "content": "

Hello all,

\n

All the best for the competition and wishing you all a happy new year! Hope the below articles, papers and kernels are of use to onboard effectively-

\n

Some reading materials

\n
    \n
  1. https://www.sciencedirect.com/science/article/pii/S2665917423002416
    2. \n
  2. https://www.sciencedirect.com/science/article/pii/S2405844023108188
    3. \n
  3. https://www.sciencedirect.com/science/article/abs/pii/S0166432820303648
    4. \n
  4. https://www.sciencedirect.com/science/article/abs/pii/S0045790622004372
    5. \n
  5. https://www.sciencedirect.com/science/article/pii/S2666827020300037
    6. \n
  6. https://www.sciencedirect.com/science/article/pii/S2405844023055500
    7. \n
  7. https://www.sciencedirect.com/science/article/pii/S2666354624000012
    8. \n
  8. https://paperswithcode.com/paper/interpretable-sincnet-based-deep-learning-for
    9. \n
  9. https://paperswithcode.com/paper/synthetic-epileptic-brain-activities-using
    10. \n
  10. https://paperswithcode.com/paper/reconstructing-perceptive-images-from-brain-1
    11. \n
  11. https://paperswithcode.com/paper/fractal-and-multifractal-properties-of
    12. \n
\n

Kaggle kernels for reference

\n
    \n
  1. https://www.kaggle.com/code/saife245/neuroimaging-in-depth-understanding-eda-model
    2. \n
  2. https://www.kaggle.com/code/ruslankl/eeg-data-analysis
    3. \n
  3. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline
    4. \n
  4. https://www.kaggle.com/code/harunshimanto/machine-learning-algorithms-for-epileptic-seizures
    5. \n
  5. https://www.kaggle.com/code/charel/learn-by-example-active-inference-in-the-brain-3
    6. \n
\n

Similar competition - TReNDS Neuroimaging

\n

Kernels

\n
    \n
  1. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline
    2. \n
  2. https://www.kaggle.com/code/aerdem4/rapids-svm-on-trends-neuroimaging
    3. \n
  3. https://www.kaggle.com/code/gunesevitan/trends-neuroimaging-data-analysis-3d-features
    4. \n
  4. https://www.kaggle.com/code/tunguz/rapids-ensemble-for-trends-neuroimaging
    5. \n
  5. https://www.kaggle.com/code/soham1024/visualization-using-nilearn
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/163017 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162765 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162934 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162836 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162742 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162828 -- rank 6
    7. \n
  7. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162787 -- rank 7
    8. \n
  8. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162799 -- rank 8
    9. \n
\n

Best wishes for the assignment! Happy learning!

", "messages": [ { "id": 2594233, "postDate": "2024-01-09T18:28:06.913Z", "content": "

Hello all,

\n

All the best for the competition and wishing you all a happy new year! Hope the below articles, papers and kernels are of use to onboard effectively-

\n

Some reading materials

\n
    \n
  1. https://www.sciencedirect.com/science/article/pii/S2665917423002416
    2. \n
  2. https://www.sciencedirect.com/science/article/pii/S2405844023108188
    3. \n
  3. https://www.sciencedirect.com/science/article/abs/pii/S0166432820303648
    4. \n
  4. https://www.sciencedirect.com/science/article/abs/pii/S0045790622004372
    5. \n
  5. https://www.sciencedirect.com/science/article/pii/S2666827020300037
    6. \n
  6. https://www.sciencedirect.com/science/article/pii/S2405844023055500
    7. \n
  7. https://www.sciencedirect.com/science/article/pii/S2666354624000012
    8. \n
  8. https://paperswithcode.com/paper/interpretable-sincnet-based-deep-learning-for
    9. \n
  9. https://paperswithcode.com/paper/synthetic-epileptic-brain-activities-using
    10. \n
  10. https://paperswithcode.com/paper/reconstructing-perceptive-images-from-brain-1
    11. \n
  11. https://paperswithcode.com/paper/fractal-and-multifractal-properties-of
    12. \n
\n

Kaggle kernels for reference

\n
    \n
  1. https://www.kaggle.com/code/saife245/neuroimaging-in-depth-understanding-eda-model
    2. \n
  2. https://www.kaggle.com/code/ruslankl/eeg-data-analysis
    3. \n
  3. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline
    4. \n
  4. https://www.kaggle.com/code/harunshimanto/machine-learning-algorithms-for-epileptic-seizures
    5. \n
  5. https://www.kaggle.com/code/charel/learn-by-example-active-inference-in-the-brain-3
    6. \n
\n

Similar competition - TReNDS Neuroimaging

\n

Kernels

\n
    \n
  1. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline
    2. \n
  2. https://www.kaggle.com/code/aerdem4/rapids-svm-on-trends-neuroimaging
    3. \n
  3. https://www.kaggle.com/code/gunesevitan/trends-neuroimaging-data-analysis-3d-features
    4. \n
  4. https://www.kaggle.com/code/tunguz/rapids-ensemble-for-trends-neuroimaging
    5. \n
  5. https://www.kaggle.com/code/soham1024/visualization-using-nilearn
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/163017 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162765 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162934 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162836 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162742 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162828 -- rank 6
    7. \n
  7. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162787 -- rank 7
    8. \n
  8. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162799 -- rank 8
    9. \n
\n

Best wishes for the assignment! Happy learning!

", "rawMarkdown": "Hello all,\n\nAll the best for the competition and wishing you all a happy new year! Hope the below articles, papers and kernels are of use to onboard effectively-\n\n## Some reading materials\n1. https://www.sciencedirect.com/science/article/pii/S2665917423002416\n2. https://www.sciencedirect.com/science/article/pii/S2405844023108188\n3. https://www.sciencedirect.com/science/article/abs/pii/S0166432820303648\n4. https://www.sciencedirect.com/science/article/abs/pii/S0045790622004372\n5. https://www.sciencedirect.com/science/article/pii/S2666827020300037\n6. https://www.sciencedirect.com/science/article/pii/S2405844023055500\n7. https://www.sciencedirect.com/science/article/pii/S2666354624000012\n8. https://paperswithcode.com/paper/interpretable-sincnet-based-deep-learning-for\n9. https://paperswithcode.com/paper/synthetic-epileptic-brain-activities-using\n10. https://paperswithcode.com/paper/reconstructing-perceptive-images-from-brain-1\n11. https://paperswithcode.com/paper/fractal-and-multifractal-properties-of\n\n## Kaggle kernels for reference\n1. https://www.kaggle.com/code/saife245/neuroimaging-in-depth-understanding-eda-model\n2. https://www.kaggle.com/code/ruslankl/eeg-data-analysis\n3. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline\n4. https://www.kaggle.com/code/harunshimanto/machine-learning-algorithms-for-epileptic-seizures\n5. https://www.kaggle.com/code/charel/learn-by-example-active-inference-in-the-brain-3\n\n## Similar competition - [TReNDS Neuroimaging](https://www.kaggle.com/competitions/trends-assessment-prediction)\n### Kernels\n1. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline\n2. https://www.kaggle.com/code/aerdem4/rapids-svm-on-trends-neuroimaging\n3. https://www.kaggle.com/code/gunesevitan/trends-neuroimaging-data-analysis-3d-features\n4. https://www.kaggle.com/code/tunguz/rapids-ensemble-for-trends-neuroimaging\n5. https://www.kaggle.com/code/soham1024/visualization-using-nilearn\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/163017 -- rank 1\n2. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162765 -- rank 2\n3. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162934 -- rank 3\n4. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162836 -- rank 4\n5. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162742 -- rank 5\n6. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162828 -- rank 6\n7. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162787 -- rank 7\n8. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162799 -- rank 8\n\nBest wishes for the assignment! Happy learning!\n\n\n", "votes": 13 }, { "id": 2594239, "postDate": "2024-01-09T18:34:10.347Z", "content": "

Thanks for sharing. I will start with this competition to do well in it.

", "rawMarkdown": "Thanks for sharing. I will start with this competition to do well in it.", "votes": 1 }, { "id": 2594526, "postDate": "2024-01-09T23:38:16.297Z", "rawMarkdown": "", "votes": 1, "isDeleted": true } ], "comments": [ { "id": 2594239, "author_name": "Jayesh sonawane", "author_url": "", "post_date": "2024-01-09T18:34:10.347000", "content": "

Thanks for sharing. I will start with this competition to do well in it.

", "votes": 1, "replies": [] }, { "id": 2594526, "author_name": "", "author_url": "", "post_date": "2024-01-09T23:38:16.297000", "content": "", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "2594233": "Hello all,\n\nAll the best for the competition and wishing you all a happy new year! Hope the below articles, papers and kernels are of use to onboard effectively-\n\n## Some reading materials\n1. https://www.sciencedirect.com/science/article/pii/S2665917423002416\n2. https://www.sciencedirect.com/science/article/pii/S2405844023108188\n3. https://www.sciencedirect.com/science/article/abs/pii/S0166432820303648\n4. https://www.sciencedirect.com/science/article/abs/pii/S0045790622004372\n5. https://www.sciencedirect.com/science/article/pii/S2666827020300037\n6. https://www.sciencedirect.com/science/article/pii/S2405844023055500\n7. https://www.sciencedirect.com/science/article/pii/S2666354624000012\n8. https://paperswithcode.com/paper/interpretable-sincnet-based-deep-learning-for\n9. https://paperswithcode.com/paper/synthetic-epileptic-brain-activities-using\n10. https://paperswithcode.com/paper/reconstructing-perceptive-images-from-brain-1\n11. https://paperswithcode.com/paper/fractal-and-multifractal-properties-of\n\n## Kaggle kernels for reference\n1. https://www.kaggle.com/code/saife245/neuroimaging-in-depth-understanding-eda-model\n2. https://www.kaggle.com/code/ruslankl/eeg-data-analysis\n3. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline\n4. https://www.kaggle.com/code/harunshimanto/machine-learning-algorithms-for-epileptic-seizures\n5. https://www.kaggle.com/code/charel/learn-by-example-active-inference-in-the-brain-3\n\n## Similar competition - [TReNDS Neuroimaging](https://www.kaggle.com/competitions/trends-assessment-prediction)\n### Kernels\n1. https://www.kaggle.com/code/rohitsingh9990/trends-eda-visualization-simple-baseline\n2. https://www.kaggle.com/code/aerdem4/rapids-svm-on-trends-neuroimaging\n3. https://www.kaggle.com/code/gunesevitan/trends-neuroimaging-data-analysis-3d-features\n4. https://www.kaggle.com/code/tunguz/rapids-ensemble-for-trends-neuroimaging\n5. https://www.kaggle.com/code/soham1024/visualization-using-nilearn\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/163017 -- rank 1\n2. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162765 -- rank 2\n3. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162934 -- rank 3\n4. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162836 -- rank 4\n5. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162742 -- rank 5\n6. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162828 -- rank 6\n7. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162787 -- rank 7\n8. https://www.kaggle.com/competitions/trends-assessment-prediction/discussion/162799 -- rank 8\n\nBest wishes for the assignment! Happy learning!\n\n\n", "2594239": "Thanks for sharing. I will start with this competition to do well in it.", "2594526": "" } }