{
  "id": 71819,
  "title": "Using CNNs in time series classification",
  "url": "/competitions/PLAsTiCC-2018/discussion/71819",
  "author_name": "Henrique Mello",
  "post_date": "2018-11-16T21:37:18.811000",
  "votes": 5,
  "comment_count": 7,
  "views": 0,
  "content": "<p>Although very unusual, CNNs can also be used in time series classification. I made a very naive preprocessing and algorithm and there are lots of ways to improve it in case someone wants to give it a shot or at least bring some discussion about the use of this type of NN in this competition. <a href=\"https://www.kaggle.com/hrmello/using-cnns-in-time-series-analysis/\">Here</a> is the kernel :) </p>",
  "messages": [
    {
      "id": 422844,
      "postDate": "2018-11-16T21:37:18.813Z",
      "content": "<p>Although very unusual, CNNs can also be used in time series classification. I made a very naive preprocessing and algorithm and there are lots of ways to improve it in case someone wants to give it a shot or at least bring some discussion about the use of this type of NN in this competition. <a href=\"https://www.kaggle.com/hrmello/using-cnns-in-time-series-analysis/\">Here</a> is the kernel :) </p>",
      "rawMarkdown": "Although very unusual, CNNs can also be used in time series classification. I made a very naive preprocessing and algorithm and there are lots of ways to improve it in case someone wants to give it a shot or at least bring some discussion about the use of this type of NN in this competition. [Here](https://www.kaggle.com/hrmello/using-cnns-in-time-series-analysis/) is the kernel :) ",
      "votes": 5
    },
    {
      "id": 422930,
      "postDate": "2018-11-17T05:12:28.660Z",
      "content": "<p>I am doing that, not as images but as 1D convolutions along each passband as channels. The results are similar to using GRU. (maybe I should tune it well)</p>",
      "rawMarkdown": "I am doing that, not as images but as 1D convolutions along each passband as channels. The results are similar to using GRU. (maybe I should tune it well)",
      "votes": 3,
      "replies": [
        {
          "id": 423118,
          "postDate": "2018-11-17T14:28:48.883Z",
          "content": "<p>Nice! Are you following some idea from a paper or blog post? </p>",
          "rawMarkdown": "Nice! Are you following some idea from a paper or blog post? "
        },
        {
          "id": 423143,
          "postDate": "2018-11-17T15:55:06.593Z",
          "content": "<p>No, I did not look for any papers. I just got the idea and implemented it in pytorch. </p>",
          "rawMarkdown": "No, I did not look for any papers. I just got the idea and implemented it in pytorch. "
        }
      ]
    },
    {
      "id": 423125,
      "postDate": "2018-11-17T14:58:18.573Z",
      "content": "<p>hello, I want to do classification to the lung cancer data by using convolutional Neural Network. can you help me. If you have a matlab code for this purpose, please send me </p>",
      "rawMarkdown": "hello, I want to do classification to the lung cancer data by using convolutional Neural Network. can you help me. If you have a matlab code for this purpose, please send me ",
      "votes": -3
    },
    {
      "id": 1990730,
      "postDate": "2022-10-16T18:00:09.910Z",
      "content": "<p>hello, Can you please suggest me that how to apply CNN for the network traffic classification. Network traffic dataset is in the form of pcap file.</p>",
      "rawMarkdown": "hello, Can you please suggest me that how to apply CNN for the network traffic classification. Network traffic dataset is in the form of pcap file."
    },
    {
      "id": 423507,
      "postDate": "2018-11-18T12:38:58.730Z",
      "content": "<p>I am using 18 pixels wide band 10943292 pixels long, turned into a cylinder on which an ensemble of convolution matrixes slide around. I have shrunk it to 1024 pixels long, because computer said nooo...</p>",
      "rawMarkdown": "I am using 18 pixels wide band 10943292 pixels long, turned into a cylinder on which an ensemble of convolution matrixes slide around. I have shrunk it to 1024 pixels long, because computer said nooo..."
    },
    {
      "id": 423177,
      "postDate": "2018-11-17T17:10:44.033Z",
      "rawMarkdown": "",
      "votes": 2,
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 422930,
      "author_name": "Bharat",
      "author_url": "",
      "post_date": "2018-11-17T05:12:28.660000",
      "content": "<p>I am doing that, not as images but as 1D convolutions along each passband as channels. The results are similar to using GRU. (maybe I should tune it well)</p>",
      "votes": 3,
      "replies": [
        {
          "id": 423118,
          "author_name": "Henrique Mello",
          "author_url": "",
          "post_date": "2018-11-17T14:28:48.883000",
          "content": "<p>Nice! Are you following some idea from a paper or blog post? </p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 423143,
          "author_name": "Bharat",
          "author_url": "",
          "post_date": "2018-11-17T15:55:06.593000",
          "content": "<p>No, I did not look for any papers. I just got the idea and implemented it in pytorch. </p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 423125,
      "author_name": "Mahmoud Abouagwa",
      "author_url": "",
      "post_date": "2018-11-17T14:58:18.573000",
      "content": "<p>hello, I want to do classification to the lung cancer data by using convolutional Neural Network. can you help me. If you have a matlab code for this purpose, please send me </p>",
      "votes": -3,
      "replies": []
    },
    {
      "id": 1990730,
      "author_name": "Mirarani Choudhury",
      "author_url": "",
      "post_date": "2022-10-16T18:00:09.910000",
      "content": "<p>hello, Can you please suggest me that how to apply CNN for the network traffic classification. Network traffic dataset is in the form of pcap file.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 423507,
      "author_name": "Tord Malmgren",
      "author_url": "",
      "post_date": "2018-11-18T12:38:58.730000",
      "content": "<p>I am using 18 pixels wide band 10943292 pixels long, turned into a cylinder on which an ensemble of convolution matrixes slide around. I have shrunk it to 1024 pixels long, because computer said nooo...</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 423177,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-17T17:10:44.033000",
      "content": "",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "422844": "Although very unusual, CNNs can also be used in time series classification. I made a very naive preprocessing and algorithm and there are lots of ways to improve it in case someone wants to give it a shot or at least bring some discussion about the use of this type of NN in this competition. [Here](https://www.kaggle.com/hrmello/using-cnns-in-time-series-analysis/) is the kernel :) ",
    "422930": "I am doing that, not as images but as 1D convolutions along each passband as channels. The results are similar to using GRU. (maybe I should tune it well)",
    "423125": "hello, I want to do classification to the lung cancer data by using convolutional Neural Network. can you help me. If you have a matlab code for this purpose, please send me ",
    "1990730": "hello, Can you please suggest me that how to apply CNN for the network traffic classification. Network traffic dataset is in the form of pcap file.",
    "423507": "I am using 18 pixels wide band 10943292 pixels long, turned into a cylinder on which an ensemble of convolution matrixes slide around. I have shrunk it to 1024 pixels long, because computer said nooo...",
    "423177": ""
  }
}