Xquasher: a tool for efficient computation of multiple linear expressions. - Arash Arfaee; Ali Irturk; Nikolay Laptev; Farzan Fallah; Ryan Kastner (DAC, 2009)

Architectural optimization of decomposition algorithms for wireless communication systems. - Ali Irturk; Bridget Benson; Nikolay Laptev; Ryan Kastner (WCNC, 2009)

SMM: A data stream management system for knowledge discovery. - Hetal Thakkar; Nikolay Laptev; Hamid Mousavi 001; Barzan Mozafari; Vincenzo Russo; Carlo Zaniolo (ICDE, 2011)

Optimization of Massive Pattern Queries by Dynamic Configuration Morphing. - Nikolay Laptev; Carlo Zaniolo (ICDE, 2012)

Early Accurate Results for Advanced Analytics on MapReduce. - Nikolay Laptev; Kai Zeng 002; Carlo Zaniolo (Proc. VLDB Endow., 2012)

Very fast estimation for result and accuracy of big data analytics: The EARL system. - Nikolay Laptev; Kai Zeng 002; Carlo Zaniolo (ICDE, 2013)

Stock trade volume prediction with Yahoo Finance user browsing behavior. - Ilaria Bordino; Nicolas Kourtellis; Nikolay Laptev; Youssef Billawala (ICDE, 2014)

Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series. - George D. Montañez; Saeed Amizadeh; Nikolay Laptev (AAAI, 2015)

Large-Scale Unusual Time Series Detection. - Rob J. Hyndman; Earo Wang; Nikolay Laptev (ICDM Workshops, 2015)

Generic and Scalable Framework for Automated Time-series Anomaly Detection. - Nikolay Laptev; Saeed Amizadeh; Ian Flint (KDD, 2015)

Extending Relational Query Languages for Data Streams. - Nikolay Laptev; Barzan Mozafari; Hamid Mousavi 001; Hetal Thakkar; Haixun Wang; Kai Zeng 002; Carlo Zaniolo (Data Stream Management, 2016)

DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution. - Xiaokui Shu; Nikolay Laptev; Danfeng (Daphne) Yao (AAAI, 2016)

DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution. - Xiaokui Shu; Nikolay Laptev; Danfeng Yao (EDBT, 2016)

Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. - Jeya Balaji Balasubramanian; Akshay Soni; Yashar Mehdad; Nikolay Laptev (FLAIRS, 2017)

Deep and Confident Prediction for Time Series at Uber. - Lingxue Zhu; Nikolay Laptev (ICDM Workshops, 2017)

Rank-to-engage: New Listwise Approaches to Maximize Engagement. - Swayambhoo Jain; Akshay Soni; Nikolay Laptev; Yashar Mehdad (CoRR, 2017)

AR-Net: A simple Auto-Regressive Neural Network for time-series. - Oskar Triebe; Nikolay Laptev; Ram Rajagopal (CoRR, 2019)

Probabilistic Modeling of Computing Demand for Service Level Agreement. - Saahil Shenoy; Dimitry Gorinevsky; Nikolay Laptev (IEEE Trans. Serv. Comput., 2019)

Privacy at Facebook Scale. - Paulo Tanaka; Sameet Sapra; Nikolay Laptev (CoRR, 2020)

Digital Psychological Platform for Mass Web-Surveys. - Evgeny Nikulchev 001; Dmitry Ilin; Anastasiya Silaeva; Pavel Kolyasnikov; Vladimir Belov; Andrey Runtov; Pavel Pushkin; Nikolay Laptev; Anna Alexeenko; Shamil Magomedov; Alexander Kosenkov; Ilya Zakharov; et al. (Data, 2020)

NeuralProphet: Explainable Forecasting at Scale. - Oskar Triebe; Hansika Hewamalage; Polina Pilyugina; Nikolay Laptev; Christoph Bergmeir; Ram Rajagopal (CoRR, 2021)

QO-Insight: Inspecting Steered Query Optimizers. - Christoph Anneser; Mario Petruccelli; Nesime Tatbul; David E. Cohen; Zhenggang Xu; Prithviraj Pandian; Nikolay Laptev; Ryan Marcus; Alfons Kemper (Proc. VLDB Endow., 2023)

AutoSteer: Learned Query Optimization for Any SQL Database. - Christoph Anneser; Nesime Tatbul; David E. Cohen; Zhenggang Xu; Prithviraj Pandian; Nikolay Laptev; Ryan Marcus (Proc. VLDB Endow., 2023)