Michael Yeh

Staff Research Scientist

Research Areas: Data Mining, Machine Learning and Time Series Analysis

Michael Yeh, Visa Research Scientist.

Conferences

  1. Yeh, C. C. M., Zhu, Y., Dau, H. A., Darvishzadeh, A., Noskov, M., & Keogh, E. (2019). Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2604-2612). ACM.
  2. Gharghabi, S., Yeh, C. C. M., Ding, Y., Ding, W., Hibbing, P., LaMunion, S., ... & Keogh, E. (2019). Domain agnostic online semantic segmentation for multi-dimensional time series. Data mining and knowledge discovery, 33(1), 96-130.
  3. Abdoli, A., Murillo, A. C., Yeh, C. C. M., Gerry, A. C., & Keogh, E. J. (2018). Time Series Classification to Improve Poultry Welfare. In 2018 17th IEEE International Conference on Machine Learning and Applications (pp. 635-642). IEEE.
  4. Senobari, N. S., Funning, G. J., Keogh, E., Zhu, Y., Yeh, C. C. M., Zimmerman, Z., & Mueen, A. (2018). Super‐Efficient Cross‐Correlation (SEC‐C): A Fast-Matched Filtering Code Suitable for Desktop Computers. Seismological Research Letters, 90(1), 322-334.
  5. Zhu, Y., Yeh, M. C.-C., Zimmerman, Z., Kamgar, K., & Keogh, E. (2018). Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds. IEEE International Conference on Data Mining.
  6. Gharghabi, S., Yeh, C.-C. M., Ding, Y., Ding, W., Hibbing, P., LaMunion, S., … Keogh, E. (2018). Domain agnostic online semantic segmentation for multi-dimensional time series. Data Mining and Knowledge Discovery, 33(1), 96–130.
  7. Zhu, Y., Zimmerman, Z., Shakibay Senobari, N., Yeh, C.-C. M., Funning, G., Mueen, A., … Keogh, E. (2017). Exploiting a novel algorithm and GPUs to break the ten quadrillion pairwise comparisons barrier for time series motifs and joins. Knowledge and Information Systems, 54(1), 203–236.
  8. Yeh, C. C. M., Zhu, Y., Ulanova, L., Begum, N., Ding, Y., Dau, H. A., ... & Keogh, E. (2017). Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Mining and Knowledge Discovery, 32(1), 83–123.
  9. Gharghabi, S., Ding, Y., Yeh, C.-C. M., Kamgar, K., Ulanova, L., & Keogh, E. (2017). Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. IEEE International Conference on Data Mining.
  10. Yeh, C.-C. M., Kavantzas, N., & Keogh, E. (2017). Matrix Profile VI: Meaningful Multidimensional Motif Discovery. IEEE International Conference on Data Mining.
  11. Yeh, C.-C. M., Kavantzas, N., & Keogh, E. (2017). Matrix profile IV: using weakly labeled time series to predict outcomes: VLDB Endowment, 10(12).
  12. Yeh, C.-C. M., Herle, H. V., & Keogh, E. (2016). Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series. International Conference on Data Mining.
  13. Zhu, Y., Zimmerman, Z., Senobari, N. S., Yeh, C.-C. M., Funning, G., Mueen, A., … Keogh, E. (2016). Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins. IEEE International Conference on Data Mining.
  14. Yeh, C.-C. M., Zhu, Y., Ulanova, L., Begum, N., Ding, Y., Dau, H. A., … Keogh, E. (2016). Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. IEEE International Conference on Data Mining.
  15. Silva, D. F., Yeh, C.-C. M, Enrique, G., & Keogh, E. (2016). SiMPle: assessing music similarity using subsequences joins. International Society for Music Information Retrieval Conference.
  16. Su, L., Yeh, C.-C. M., Liu, J.-Y., Wang, J.-C., & Yang, Y.-H. (2014). A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Transactions on Multimedia, 16(5), 1188–1200.
  17. Yeh, C.-C., Jao, P.-K., & Yang, Y.-H. (2014). AWtoolbox: Characterizing Audio Information Using Audio Words. ACM International Conference Multimedia.
  18. Yeh, C.-C. M., Wang, J.-C., Yang, Y.-H., & Wang, H.-M. (2014). Improving music auto-tagging by intra-song instance bagging. IEEE International Conference on Acoustics, Speech and Signal Processing.
  19. Jao, P.-K., Yeh, C.-C. M., & Yang, Y.-H. (2014). Modified lasso screening for audio word-based music classification using large-scale dictionary. IEEE International Conference on Acoustics, Speech and Signal Processing.
  20. Yeh, C.-C., & Yang, Y.-H. (2013). Towards a More Efficient Sparse Coding Based Audio-word Feature Extraction System. Asia Pacific Signal and Information Processing Association Annual Summit and Conference.
  21. Yeh, C.-C. M., Su, L., & Yang, Y.-H. (2013). Dual-layer bag-of-frames model for music genre classification. IEEE International Conference on Acoustics, Speech and Signal Processing.
  22. Liu, J. Y., Yeh, C.-C. M., Teng, Y.-C., & Yang, Y.-H. (2013). Bilingual Analysis of Song Lyrics and Audio Words. ACM International Conference Multimedia.
  23. Yeh, C.-C. M., & Yang, Y.-H. (2012). Supervised dictionary learning for music genre classification. ACM International Conference on Multimedia Retrieval.