Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence

24 September 2016

Papers citing "Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence"

9 / 9 papers shown

Title
Usage of specific attention improves change point detection Anna Dmitrienko Evgenia Romanenkova Alexey Zaytsev 48 0 0 18 Apr 2022
Deep learning model solves change point detection for multiple change types Alexander Stepikin Evgenia Romanenkova Alexey Zaytsev OOD 45 0 0 15 Apr 2022
Sequence embeddings help to identify fraudulent cases in healthcare insurance I. Fursov A. Zaytsev R. Khasyanov Martin Spindler Evgeny Burnaev MedIm 44 8 0 07 Oct 2019
Usage of multiple RTL features for Earthquake prediction P. Proskura A. Zaytsev I. Braslavsky Evgenii Egorov Evgeny Burnaev 44 6 0 26 May 2019
Demand forecasting techniques for build-to-order lean manufacturing supply chains Rodrigo Rivera-Castro Ivan Nazarov Yuke Xiang Alexander Pletneev I. Maksimov Evgeny Burnaev AI4TS 13 8 0 20 May 2019
Learning Ensembles of Anomaly Detectors on Synthetic Data Dmitry Smolyakov N. Sviridenko Vladislav Ishimtsev Evgeny Burikov Eugeny Burnaev 54 13 0 20 May 2019
Real-time data-driven detection of the rock type alteration during a directional drilling Evgenia Romanenkova Alexey Zaytsev Nikita Klyuchnikov A. Gruzdev Ksenia Antipova ... Evgeny Burnaev A. Semenikhin V. Koryabkin I. Simon D. Koroteev 105 29 0 27 Mar 2019
Inductive Conformal Martingales for Change-Point Detection Denis Volkhonskiy I. Nouretdinov A. Gammerman V. Vovk Evgeny Burnaev 124 51 0 11 Jun 2017
Conformal k-NN Anomaly Detector for Univariate Data Streams Vladislav Ishimtsev Ivan Nazarov A. Bernstein Evgeny Burnaev AI4TS 164 52 0 11 Jun 2017