Pavel Sulimov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Mass Spectrometry

Cardinality Estimation

Query Optimizers

Link Prediction

Top Venues

Proc. VLDB Endow.

Publications

Florian Kittelmann, Pavel Sulimov, Kurt Stockinger
QardEst: Using Quantum Machine Learning for Cardinality Estimation of Join Queries. Q-DATA@SIGMOD (2024)
Claude Lehmann, Pavel Sulimov, Kurt Stockinger
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. Proc. VLDB Endow. 17 (7) (2024)
Claude Lehmann, Pavel Sulimov, Kurt Stockinger
Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective. CoRR (2023)
Pavel Sulimov, Anastasia Voronkova, Attila Kertész-Farkas
Annotation of tandem mass spectrometry data using stochastic neural networks in shotgun proteomics. Bioinform. 36 (12) (2020)
Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas
Guided Layer-Wise Learning for Deep Models Using Side Information. AIST (Supplement) (2019)
Pavel Sulimov, Elena Sukmanova, Roman Chereshnev, Attila Kertész-Farkas
Guided Layer-wise Learning for Deep Models using Side Information. CoRR (2019)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks. PeerJ Comput. Sci. 5 (2019)
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)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Ksenia Korovina, Leonid E. Zhukov
Joint Node-Edge Network Embedding for Link Prediction. AIST (2018)
Ilya Makarov, Olga Gerasimova, Pavel Sulimov, Leonid E. Zhukov
Co-authorship Network Embedding and Recommending Collaborators via Network Embedding. AIST (2018)