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Pavel Sulimov
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2020 – today
- 2024
- [j3]Claude Lehmann, Pavel Sulimov, Kurt Stockinger:
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. Proc. VLDB Endow. 17(7): 1565-1577 (2024) - [c5]Florian Kittelmann
, Pavel Sulimov
QardEst: Using Quantum Machine Learning for Cardinality Estimation of Join Queries. Q-DATA@SIGMOD 2024 - 2023
- [i2]Claude Lehmann, Pavel Sulimov, Kurt Stockinger:
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. CoRR abs/2309.01551 (2023) - 2020
- [j2]Pavel Sulimov, Anastasia Voronkova, Attila Kertész-Farkas:
Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics. Bioinform. 36(12): 3781-3787 (2020)
2010 – 2019
- 2019
- [j1]Ilya Makarov
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. PeerJ Comput. Sci. 5: e172 (2019) - [c4]Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas
Guided Layer-Wise Learning for Deep Models Using Side Information. AIST (Supplement) 2019: 50-61 - [i1]Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas:
Guided Layer-wise Learning for Deep Models using Side Information. CoRR abs/1911.02048 (2019) - 2018
- [c3]Ilya Makarov
Joint Node-Edge Network Embedding for Link Prediction. AIST 2018: 20-31 - [c2]Ilya Makarov
Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. AIST 2018: 32-38 - [c1]Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov:
Recommending Co-authorship via Network Embeddings and Feature Engineering: The case of National Research University Higher School of Economics. JCDL 2018: 365-366
Coauthor Index
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last updated on 2024-12-19 22:11 CET by the dblp team
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