Nikolay Laptev
Cited by
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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
Early accurate results for advanced analytics on mapreduce
N Laptev, K Zeng, C Zaniolo
arXiv preprint arXiv:1207.0142, 2012
Neuralprophet: Explainable forecasting at scale
O Triebe, H Hewamalage, P Pilyugina, N Laptev, C Bergmeir, ...
arXiv preprint arXiv:2111.15397, 2021
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
Ar-net: A simple auto-regressive neural network for time-series
O Triebe, N Laptev, R Rajagopal
arXiv preprint arXiv:1911.12436, 2019
Inertial hidden markov models: Modeling change in multivariate time series
G Montanez, S Amizadeh, N Laptev
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 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
Reconstruction and regression loss for time-series transfer learning
N Laptev, J Yu, R Rajagopal
Proceedings of the Special Interest Group on Knowledge Discovery and Data …, 2018
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
Fast dimensional analysis for root cause investigation in a large-scale service environment
F Lin, K Muzumdar, NP Laptev, MV Curelea, S Lee, S Sankar
Proceedings of the ACM on Measurement and Analysis of Computing Systems 4 (2 …, 2020
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
Yahoo Finance search and earnings announcements
A Lawrence, J Ryans, E Sun, N Laptev
Available at SSRN 2804353, 2016
Yahoo anomaly detection dataset s5
N Laptev, S Amizadeh
URL http://webscope. sandbox. yahoo. com/catalog. php, 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
Anogen: Deep anomaly generator
N Laptev
Outlier Detection De-constructed (ODD) Workshop, 2018
Probabilistic modeling of computing demand for service level agreement
S Shenoy, D Gorinevsky, N Laptev
IEEE Transactions on Services Computing 12 (6), 987-993, 2016
BOOT-TS: A scalable bootstrap for massive time-series data
N Laptev, C Zaniolo, TC Lu, CA Malibu
NIPS Proceedings, 1-5, 2012
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