Nikolay Laptev
Nikolay Laptev
Research Scientist at Facebook
Verified email at - Homepage
TitleCited byYear
Early accurate results for advanced analytics on mapreduce
N Laptev, K Zeng, C Zaniolo
Proceedings of the VLDB Endowment 5 (10), 1028-1039, 2012
Generic and scalable framework for automated time-series anomaly detection
N Laptev, S Amizadeh, I Flint
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Time-series extreme event forecasting with neural networks at uber
N Laptev, J Yosinski, LE Li, S Smyl
International Conference on Machine Learning 34, 1-5, 2017
Deep and confident prediction for time series at uber
L Zhu, N Laptev
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 103-110, 2017
Large-scale unusual time series detection
RJ Hyndman, E Wang, N Laptev
2015 IEEE international conference on data mining workshop (ICDMW), 1616-1619, 2015
Very fast estimation for result and accuracy of big data analytics: The EARL system
N Laptev, K Zeng, C Zaniolo
2013 IEEE 29th International Conference on Data Engineering (ICDE), 1296-1299, 2013
SMM: A data stream management system for knowledge discovery
H Thakkar, N Laptev, H Mousavi, B Mozafari, V Russo, C Zaniolo
2011 IEEE 27th International Conference on Data Engineering, 757-768, 2011
Inertial hidden markov models: Modeling change in multivariate time series
GD Montanez, S Amizadeh, N Laptev
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
FPGA acceleration of mean variance framework for optimal asset allocation
A Irturk, B Benson, N Laptev, R Kastner
2008 Workshop on High Performance Computational Finance, 1-8, 2008
Earnings announcement promotions: A Yahoo Finance field experiment
A Lawrence, J Ryans, E Sun, N Laptev
Journal of Accounting and Economics 66 (2-3), 399-414, 2018
Yahoo Finance search and earnings announcements
A Lawrence, J Ryans, E Sun, N Laptev
Available at SSRN 2804353, 2016
Stock trade volume prediction with Yahoo Finance user browsing behavior
I Bordino, N Kourtellis, N Laptev, Y Billawala
2014 IEEE 30th International Conference on Data Engineering, 1168-1173, 2014
Xquasher: A tool for efficient computation of multiple linear expressions
A Arfaee, A Irturk, N Laptev, F Fallah, R Kastner
Proceedings of the 46th Annual Design Automation Conference, 254-257, 2009
Architectural optimization of decomposition algorithms for wireless communication systems
A Irturk, B Benson, N Laptev, R Kastner
2009 IEEE Wireless Communications and Networking Conference, 1-6, 2009
Yahoo anomaly detection dataset s5
N Laptev, S Amizadeh
BOOT-TS: A Scalable Bootstrap for Massive Time-Series Data
N Laptev, C Zaniolo, TC Lu, CA Malibu
NIPS Proceedings, 1-5, 2012
Optimization of massive pattern queries by dynamic configuration morphing
N Laptev, C Zaniolo
2012 IEEE 28th International Conference on Data Engineering, 917-928, 2012
Parallel news-article traffic forecasting with admm
S Ioannidis, Y Jiang, S Amizadeh, N Laptev
SIGKDD Workshop on Mining and Learning from Time Series. ACM, 2016
Applied timeseries transfer learning
N Laptev, J Yu, R Rajagopal
Reconstruction and Regression Loss for Time-Series Transfer Learning
N Laptev, J Yu, R Rajagopal
SIGKDD MiLeTS–2018–8с, 2018
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