{ "id": 238920, "title": "Ralated Papers about Semi-Supervised Approach", "url": "/competitions/seti-breakthrough-listen/discussion/238920", "author_name": "Bilzard", "post_date": "2021-05-13T22:48:16.575000", "votes": 3, "comment_count": 1, "views": 0, "content": "

I am trying to apply annormany detection on this competition because there can be positive patterens which never appear on the training set.

\n

I shares papers on anomary detection over Mel spectrogram:

\n
    \n
  1. Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
    2. \n
  2. Anomaly Detection in Mechanical Vibration Using Combination of Signal Processing and Autoencoder
    3. \n
\n

In both papers the authors uses autoencoder.
\nI appreciate if you share other papers on semi-supervised approach.

\n

Hope it helps.

", "messages": [ { "id": 1306597, "postDate": "2021-05-13T22:48:16.577Z", "content": "

I am trying to apply annormany detection on this competition because there can be positive patterens which never appear on the training set.

\n

I shares papers on anomary detection over Mel spectrogram:

\n
    \n
  1. Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
    2. \n
  2. Anomaly Detection in Mechanical Vibration Using Combination of Signal Processing and Autoencoder
    3. \n
\n

In both papers the authors uses autoencoder.
\nI appreciate if you share other papers on semi-supervised approach.

\n

Hope it helps.

", "rawMarkdown": "I am trying to apply annormany detection on this competition because there can be positive patterens which never appear on the training set.\n\nI shares papers on anomary detection over Mel spectrogram:\n\n1. [Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning](https://arxiv.org/abs/2006.03429)\n2. [Anomaly Detection in Mechanical Vibration Using Combination of Signal Processing and Autoencoder](https://www.jstage.jst.go.jp/article/jsp/24/4/24_203/_article/-char/ja/)\n\nIn both papers the authors uses autoencoder.\nI appreciate if you share other papers on semi-supervised approach.\n\nHope it helps.", "votes": 3 }, { "id": 1306606, "postDate": "2021-05-13T23:06:26.143Z", "content": "

I add the paper that @nityasevak already posted:
\nSelf-supervised Anomaly Detection for Narrowband SETI

", "rawMarkdown": "I add the paper that @nityasevak already posted:\n[Self-supervised Anomaly Detection for Narrowband SETI](https://arxiv.org/pdf/1901.04636.pdf)", "votes": 1 } ], "comments": [ { "id": 1306606, "author_name": "Bilzard", "author_url": "", "post_date": "2021-05-13T23:06:26.143000", "content": "

I add the paper that @nityasevak already posted:
\nSelf-supervised Anomaly Detection for Narrowband SETI

", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1306597": "I am trying to apply annormany detection on this competition because there can be positive patterens which never appear on the training set.\n\nI shares papers on anomary detection over Mel spectrogram:\n\n1. [Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning](https://arxiv.org/abs/2006.03429)\n2. [Anomaly Detection in Mechanical Vibration Using Combination of Signal Processing and Autoencoder](https://www.jstage.jst.go.jp/article/jsp/24/4/24_203/_article/-char/ja/)\n\nIn both papers the authors uses autoencoder.\nI appreciate if you share other papers on semi-supervised approach.\n\nHope it helps.", "1306606": "I add the paper that @nityasevak already posted:\n[Self-supervised Anomaly Detection for Narrowband SETI](https://arxiv.org/pdf/1901.04636.pdf)" } }