- Laftchiev, E., Yan, Q., Nikovski, D.N., "The Missing Input Problem", IEEE Big Data, DOI: 10.1109/BigData50022.2020.9378144, December 2020, pp. 1565-1573.
BibTeX TR2020-172 PDF- @inproceedings{Laftchiev2020dec,
- author = {Laftchiev, Emil and Yan, Qing and Nikovski, Daniel N.},
- title = {The Missing Input Problem},
- booktitle = {IEEE Big Data},
- year = 2020,
- pages = {1565--1573},
- month = dec,
- publisher = {IEEE},
- doi = {10.1109/BigData50022.2020.9378144},
- url = {https://www.merl.com/publications/TR2020-172}
- }
- DeRousseau, M.A., Laftchiev, E., Kasprzyk, J.R., Balaji, R., Srubar III, W.V., "Machine Learning Methods for Predicting the Field Compressive Strength of Concrete", Construction And Building Materials, DOI: 10.1016/j.conbuildmat.2019.08.042, Vol. 228, December 2019.
BibTeX TR2019-096 PDF- @article{DeRousseau2019dec,
- author = {DeRousseau, Mikaela A. and Laftchiev, Emil and Kasprzyk, Joseph R. and Balaji, Rajagopalan and Srubar III, Wil V.},
- title = {Machine Learning Methods for Predicting the Field Compressive Strength of Concrete},
- journal = {Construction And Building Materials},
- year = 2019,
- volume = 228,
- month = dec,
- doi = {10.1016/j.conbuildmat.2019.08.042},
- url = {https://www.merl.com/publications/TR2019-096}
- }
- Zhang, W., Jha, D.K., Laftchiev, E., Nikovski, D.N., "Multi-label Prediction in Time Series Data using Deep Neural Networks", International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics, Vol. 10, pp. 0-12, September 2019.
BibTeX TR2019-110 PDF- @article{Zhang2019sep2,
- author = {Zhang, Wenyu and Jha, Devesh K. and Laftchiev, Emil and Nikovski, Daniel N.},
- title = {Multi-label Prediction in Time Series Data using Deep Neural Networks},
- journal = {International Journal for Prognostics and Health Management Special Issue on Applications of Deep Learning and Emerging Analytics},
- year = 2019,
- volume = 10,
- pages = {0--12},
- month = sep,
- note = {Special Issue on Deep Learning and Emerging Analytics},
- issn = {2153-2648},
- url = {https://www.merl.com/publications/TR2019-110}
- }
- Natarajan, A., Laftchiev, E., "A Transfer Active Learning Framework to Predict Thermal Comfort", International Journal of Prognostics and Health Management Special Issue on PHM for Human Health & Performance, December 2018.
BibTeX TR2018-156 PDF- @article{Natarajan2018dec,
- author = {Natarajan, Annamalai and Laftchiev, Emil},
- title = {A Transfer Active Learning Framework to Predict Thermal Comfort},
- journal = {International Journal of Prognostics and Health Management Special Issue on PHM for Human Health \& Performance},
- year = 2018,
- month = dec,
- url = {https://www.merl.com/publications/TR2018-156}
- }
- 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}
- }
- Laftchiev, E., Liu, Y., "Finding Multidimensional Patterns in Multidimensional Time Series", SIGKDD Workshop on Mining and Learning From Time Series, August 2018.
BibTeX TR2018-044 PDF- @inproceedings{Laftchiev2018aug2,
- author = {Laftchiev, Emil and Liu, Yuchao},
- title = {Finding Multidimensional Patterns in Multidimensional Time Series},
- booktitle = {SIGKDD Workshop on Mining and Learning From Time Series},
- year = 2018,
- month = aug,
- url = {https://www.merl.com/publications/TR2018-044}
- }
- Deshmukh, A., Laftchiev, E., "Semi-Supervised Transfer Learning Using Marginal Predictors", IEEE Data Science Workshop, DOI: 10.1109/DSW.2018.8439908, June 6, 2018, pp. 160-164.
BibTeX TR2018-040 PDF Software- @inproceedings{Deshmukh2018jun,
- author = {Deshmukh, Aniket and Laftchiev, Emil},
- title = {Semi-Supervised Transfer Learning Using Marginal Predictors},
- booktitle = {IEEE Data Science Workshop},
- year = 2018,
- pages = {160--164},
- month = jun,
- doi = {10.1109/DSW.2018.8439908},
- url = {https://www.merl.com/publications/TR2018-040}
- }
- Laftchiev, E., Nikovski, D.N., "An IoT System to Estimate Personal Thermal Comfort", IEEE World Forum on Internet of Things (WF- IoT), DOI: 10.1109/WF-IoT.2016.7845401, December 2016, pp. 672-677.
BibTeX TR2016-161 PDF- @inproceedings{Laftchiev2016dec,
- author = {Laftchiev, Emil and Nikovski, Daniel N.},
- title = {An IoT System to Estimate Personal Thermal Comfort},
- booktitle = {IEEE World Forum on Internet of Things (WF- IoT)},
- year = 2016,
- pages = {672--677},
- month = dec,
- doi = {10.1109/WF-IoT.2016.7845401},
- url = {https://www.merl.com/publications/TR2016-161}
- }