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Nikolay Laptev

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Journal Articles

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2023
[j5]
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  - journals/pvldb/AnneserTCXPLM23
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Christoph Anneser, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus:
AutoSteer: Learned Query Optimization for Any SQL Database. Proc. VLDB Endow. 16(12): 3515-3527 (2023)
[j4]
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Christoph Anneser, Mario Petruccelli, Nesime Tatbul, David E. Cohen, Zhenggang Xu, Prithviraj Pandian, Nikolay Laptev, Ryan Marcus, Alfons Kemper:
QO-Insight: Inspecting Steered Query Optimizers. Proc. VLDB Endow. 16(12): 3922-3925 (2023)
2020
[j3]
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Evgeny Nikulchev, Dmitry Ilin, Anastasiya Silaeva, Pavel Kolyasnikov, Vladimir Belov, Andrey Runtov, Pavel Pushkin, Nikolay Laptev, Anna Alexeenko, Shamil Magomedov, Alexander Kosenkov, Ilya Zakharov, Victoria Ismatullina, Sergey Malykh:
Digital Psychological Platform for Mass Web-Surveys. Data 5(4): 95 (2020)
2019
[j2]
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Saahil Shenoy, Dimitry Gorinevsky, Nikolay Laptev:
Probabilistic Modeling of Computing Demand for Service Level Agreement. IEEE Trans. Serv. Comput. 12(6): 987-993 (2019)
2012
[j1]
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Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Early Accurate Results for Advanced Analytics on MapReduce. Proc. VLDB Endow. 5(10): 1028-1039 (2012)

Conference and Workshop Papers

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2017
[c13]
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Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. FLAIRS 2017: 32-37
[c12]
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Lingxue Zhu, Nikolay Laptev:
Deep and Confident Prediction for Time Series at Uber. ICDM Workshops 2017: 103-110
2016
[c11]
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Xiaokui Shu, Nikolay Laptev, Danfeng (Daphne) Yao:
DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution. AAAI 2016: 4395-4396
[c10]
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Xiaokui Shu, Nikolay Laptev, Danfeng Yao:
DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution. EDBT 2016: 573-579
2015
[c9]
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  - conf/aaai/MontanezAL15
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George D. Montañez, Saeed Amizadeh, Nikolay Laptev:
Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series. AAAI 2015: 1819-1825
[c8]
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Rob J. Hyndman, Earo Wang, Nikolay Laptev:
Large-Scale Unusual Time Series Detection. ICDM Workshops 2015: 1616-1619
[c7]
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Nikolay Laptev, Saeed Amizadeh, Ian Flint:
Generic and Scalable Framework for Automated Time-series Anomaly Detection. KDD 2015: 1939-1947
2014
[c6]
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  - conf/icde/BordinoKLB14
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Ilaria Bordino, Nicolas Kourtellis, Nikolay Laptev, Youssef Billawala:
Stock trade volume prediction with Yahoo Finance user browsing behavior. ICDE 2014: 1168-1173
2013
[c5]
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Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Very fast estimation for result and accuracy of big data analytics: The EARL system. ICDE 2013: 1296-1299
2012
[c4]
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Nikolay Laptev, Carlo Zaniolo:
Optimization of Massive Pattern Queries by Dynamic Configuration Morphing. ICDE 2012: 917-928
2011
[c3]
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  - conf/icde/ThakkarLMMRZ11
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Hetal Thakkar, Nikolay Laptev, Hamid Mousavi, Barzan Mozafari, Vincenzo Russo, Carlo Zaniolo:
SMM: A data stream management system for knowledge discovery. ICDE 2011: 757-768
2009
[c2]
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Arash Arfaee, Ali Irturk, Nikolay Laptev, Farzan Fallah, Ryan Kastner:
Xquasher: a tool for efficient computation of multiple linear expressions. DAC 2009: 254-257
[c1]
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Ali Irturk, Bridget Benson, Nikolay Laptev, Ryan Kastner:
Architectural optimization of decomposition algorithms for wireless communication systems. WCNC 2009: 3035-3040

Parts in Books or Collections

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2016
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Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo:
Extending Relational Query Languages for Data Streams. Data Stream Management 2016: 361-386

Informal and Other Publications

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2021
[i6]
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  - journals/corr/abs-2111-15397
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Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal:
NeuralProphet: Explainable Forecasting at Scale. CoRR abs/2111.15397 (2021)
2020
[i5]
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  - journals/corr/abs-2006-14109
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Paulo Tanaka, Sameet Sapra, Nikolay Laptev:
Privacy at Facebook Scale. CoRR abs/2006.14109 (2020)
2019
[i4]
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  - journals/corr/abs-1911-12436
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Oskar Triebe, Nikolay Laptev, Ram Rajagopal:
AR-Net: A simple Auto-Regressive Neural Network for time-series. CoRR abs/1911.12436 (2019)
2017
[i3]
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  - journals/corr/JainSLM17
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Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad:
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR abs/1702.07798 (2017)
[i2]
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Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. CoRR abs/1705.05765 (2017)
2012
[i1]
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  - journals/corr/abs-1207-0142
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Nikolay Laptev, Kai Zeng, Carlo Zaniolo:
Early Accurate Results for Advanced Analytics on MapReduce. CoRR abs/1207.0142 (2012)

Coauthor Index

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