( en | de | ru )

 

Disambiguation of "Polyvyanyy, Artem"

Author of the publication

copydeleteadd this publication to your clipboard
A quantitative evaluation of the enhanced topic-based vector space model

, and . Universitätsverlag Potsdam, (2007)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Artem Polyvyanyy

Artemios Artemiou

Oleksandr Artemenko

Artem Luzan

Artem Revenko

 

Other publications of authors with the same name

All That Glitters Is Not Gold: Towards Process Discovery Techniques with Guarantees., , , , and . CoRR, (2020)Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction., , , , and . ICPM, page 96-103. IEEE, (2021)Action Logger: Enabling Process Mining for Robotic Process Automation., , , , and . BPM (PhD/Demos), volume 2420 of CEUR Workshop Proceedings, page 124-128. CEUR-WS.org, (2019)Bootstrapping Generalization of Process Models Discovered from Event Data., , and . CAiSE, volume 13295 of Lecture Notes in Computer Science, page 36-54. Springer, (2022)Comprehensive Process Drift Analysis with the Visual Drift Detection Tool., , , and . ER Forum/Posters/Demos, volume 2469 of CEUR Workshop Proceedings, page 108-112. CEUR-WS.org, (2019)The Information Systems Modeling Suite - Modeling the Interplay Between Information and Processes., and . Petri Nets, volume 12152 of Lecture Notes in Computer Science, page 414-425. Springer, (2020)Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs., , , , , and . ICPM, page 153-160. IEEE, (2020)Monotone Conformance Checking for Partially Matching Designed and Observed Processes., and . ICPM, page 81-88. IEEE, (2019)Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering., , , and . CAiSE, volume 12127 of Lecture Notes in Computer Science, page 3-19. Springer, (2020)Process model forecasting and change exploration using time series analysis of event sequence data., , , , and . Data Knowl. Eng., (May 2023)