Publications

30 / 3,803 publications found.


  •  Laftchiev, E., Sun, X., Dau, H.-A., Nikovski, D.N., "Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables", International Workshop on Principle of Diagnosis, August 2018.
    BibTeX TR2018-128 PDF
    • @inproceedings{Laftchiev2018aug,
    • author = {Laftchiev, Emil and Sun, Xinmaio and Dau, Hoang-Anh and Nikovski, Daniel N.},
    • title = {{Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables}},
    • booktitle = {International Workshop on Principle of Diagnosis},
    • year = 2018,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2018-128}
    • }
  •  Liu, J., Guo, J., Orlik, P.V., Shibata, M., Nakahara, D., Mii, S., Takac, M., "Anomaly Detection in Manufacturing Systems Using Structured Neural Networks", IEEE World Congress on Intelligent Control and Automation, DOI: 10.1109/​WCICA.2018.8630692, July 2018, pp. 175-180.
    BibTeX TR2018-097 PDF
    • @inproceedings{Liu2018jul2,
    • author = {Liu, Jie and Guo, Jianlin and Orlik, Philip V. and Shibata, Masahiko and Nakahara, Daiki and Mii, Satoshi and Takac, Martin},
    • title = {{Anomaly Detection in Manufacturing Systems Using Structured Neural Networks}},
    • booktitle = {IEEE World Congress on Intelligent Control and Automation},
    • year = 2018,
    • pages = {175--180},
    • month = jul,
    • doi = {10.1109/WCICA.2018.8630692},
    • url = {https://www.merl.com/publications/TR2018-097}
    • }
  •  Nikovski, D.N., Byadarhaly, K., "Regularized Covariance Matrix Estimation with High Dimensional Data for Supervised Anomaly Detection Problems", IEEE International Joint Conference on Neural Networks (IJCNN), DOI: 10.1109/​IJCNN.2016.7727554, July 2016, pp. 2811-2818.
    BibTeX TR2016-099 PDF
    • @inproceedings{Nikovski2016jul,
    • author = {Nikovski, Daniel N. and Byadarhaly, Kiran},
    • title = {{Regularized Covariance Matrix Estimation with High Dimensional Data for Supervised Anomaly Detection Problems}},
    • booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN)},
    • year = 2016,
    • pages = {2811--2818},
    • month = jul,
    • doi = {10.1109/IJCNN.2016.7727554},
    • url = {https://www.merl.com/publications/TR2016-099}
    • }
  •  Jones, M.J., Nikovski, D.N., Imamura, M., Hirata, T., "Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series", Journal of Data Mining and Knowledge Discovery, DOI: 10.1007/​s10618-015-0449-3, Vol. 30, No. 6, pp. 1427-1454, March 2016.
    BibTeX TR2016-027 PDF
    • @article{Jones2016mar,
    • author = {Jones, Michael J. and Nikovski, Daniel N. and Imamura, Makoto and Hirata, Takahisa},
    • title = {{Exemplar Learning for Extremely Efficient Anomaly Detection in Real-Valued Time Series}},
    • journal = {Journal of Data Mining and Knowledge Discovery},
    • year = 2016,
    • volume = 30,
    • number = 6,
    • pages = {1427--1454},
    • month = mar,
    • doi = {10.1007/s10618-015-0449-3},
    • issn = {1573-756X},
    • url = {https://www.merl.com/publications/TR2016-027}
    • }
  •  Jones, M., Nikovski, D., Imamura, M., Hirata, T., "Anomaly Detection in Real-valued Multidimensional Time Series", ASE Bigdata/Socialcom/Cyber Security Conference, June 2014.
    BibTeX TR2014-042 PDF Software
    • @inproceedings{Jones2014jun,
    • author = {Jones, M. and Nikovski, D. and Imamura, M. and Hirata, T.},
    • title = {{Anomaly Detection in Real-valued Multidimensional Time Series}},
    • booktitle = {ASE Bigdata/Socialcom/Cyber Security Conference},
    • year = 2014,
    • month = jun,
    • publisher = {Academy of Science and Engineering (ASE)},
    • isbn = {978-1-62561-000-3},
    • url = {https://www.merl.com/publications/TR2014-042}
    • }