[
  {
    "F1-score (@IoU = 0.3)": 0.75,
    "code_links": [
      {
        "title": "Dreem-Organization/dosed",
        "url": "https://github.com/Dreem-Organization/dosed"
      }
    ],
    "date": "2018-12-07",
    "date2": 20181207,
    "model": "DOSED",
    "paper": {
      "title": "DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal",
      "url": "https://cknow.io/lib/327dbd5e4d7a8030"
    },
    "paper_data_uoa": "327dbd5e4d7a8030"
  },
  {
    "F1-score (@IoU = 0.3)": 0.5,
    "code_links": [
      {
        "title": "aparek/mcsleep",
        "url": "https://github.com/aparek/mcsleep"
      }
    ],
    "date": "2017-08-15",
    "date2": 20170815,
    "model": "Multichannel Low-Rank",
    "paper": {
      "title": "Multichannel sleep spindle detection using sparse low-rank optimization",
      "url": "https://cknow.io/lib/23988ac2f4794883"
    },
    "paper_data_uoa": "23988ac2f4794883"
  },
  {
    "F1-score (@IoU = 0.3)": 0.46,
    "code_links": [
      {
        "title": "TarekLaj/SPINKY",
        "url": "https://github.com/TarekLaj/SPINKY"
      }
    ],
    "date": "2017-03-02",
    "date2": 20170302,
    "model": "Spinky",
    "paper": {
      "title": "Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).",
      "url": "https://cknow.io/lib/239fd2cbce6151b1"
    },
    "paper_data_uoa": "239fd2cbce6151b1"
  },
  {
    "F1-score (@IoU = 0.3)": 0.39,
    "code_links": [],
    "date": "2018-03-01",
    "date2": 20180301,
    "model": "MUSSDET",
    "paper": {
      "title": "A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.",
      "url": "https://cknow.io/lib/a602fc0840e946fa"
    },
    "paper_data_uoa": "a602fc0840e946fa"
  }
]