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Connection

Timothy Fitzgibbons to Machine Learning

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This is a "connection" page, showing publications Timothy Fitzgibbons has written about Machine Learning.
Timothy Fitzgibbons
Connection Strength
0.041
Machine Learning
  1. Bashar SK, Han D, Zieneddin F, Ding E, Fitzgibbons TP, Walkey AJ, McManus DD, Javidi B, Chon KH. Novel Density Poincar? Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions. IEEE Trans Biomed Eng. 2021 02; 68(2):448-460.
    View in: PubMed
    Score: 0.041
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.