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Artem Trofimov
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2020 – today
- 2024
- [c7]Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets:
JetTrain: IDE-Native Machine Learning Experiments. IDE@ICSE 2024: 59-61 - [i1]Artem Trofimov, Mikhail Kostyukov, Sergei Ugdyzhekov, Natalia Ponomareva, Igor Naumov, Maksim Melekhovets:
JetTrain: IDE-Native Machine Learning Experiments. CoRR abs/2402.10857 (2024) - 2023
- [j2]Artem Trofimov, Nikita Sokolov, Nikita Marshalkin, Igor Kuralenok, Boris Novikov:
Bounding substreams in distributed stream processing. Inf. Syst. 117: 102251 (2023) - 2022
- [c6]Artem Trofimov, Nikita Sokolov, Nikita Marshalkin, Igor Kuralenok, Boris Novikov:
Substream management in distributed streaming dataflows. DEBS 2022: 55-66 - 2020
- [j1]Chad A. Steed, John R. Goodall, Junghoon Chae, Artem Trofimov:
CrossVis: A visual analytics system for exploring heterogeneous multivariate data with applications to materials and climate sciences. Graph. Vis. Comput. 3: 200013 (2020)
2010 – 2019
- 2019
- [c5]Artem Trofimov, Nikita Sokolov, Mikhail Shavkunov, Igor Kuralenok, Boris Novikov:
Distributed Classification of Text Streams: Limitations, Challenges, and Solutions. BIRTE 2019: 2:1-2:6 - [c4]Artem Trofimov, Mikhail Shavkunov, Sergey Reznick, Nikita Sokolov, Mikhail Yutman, Igor E. Kuralenok, Boris Novikov:
Reproducible and Reliable Distributed Classification of Text Streams. DEBS 2019: 264-265 - 2018
- [c3]Igor E. Kuralenok, Artem Trofimov, Nikita Marshalkin, Boris Novikov:
Deterministic Model for Distributed Speculative Stream Processing. ADBIS 2018: 233-246 - [c2]Artem Trofimov:
Consistency Maintenance in Distributed Analytical Stream Processing. ADBIS (Short Papers and Workshops) 2018: 413-422 - [c1]Igor E. Kuralenok, Artem Trofimov, Nikita Marshalkin, Boris Novikov:
FlameStream: Model and Runtime for Distributed Stream Processing. BeyondMR@SIGMOD 2018: 8:1-8:2
Coauthor Index
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