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2020 – today
- 2021
[c9]Dmitry Krylov, Semen Poliakov
, Natalia Khanzhina, Alexey Zabashta, Andrey Filchenkov, Aleksandr Farseev:
Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks. MULL @ ACM Multimedia 2021: 17-25- 2020
- [c8]Gleb Drozdov, Alexey Zabashta, Andrey Filchenkov:
Graph Convolutional Network Based Generative Adversarial Networks for the Algorithm Selection Problem in Classification. CCRIS 2020: 88-92 - [c7]Ilya Sahipov, Alexey Zabashta, Andrey Filchenkov:
Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection. IDEAL (2) 2020: 66-75
2010 – 2019
- 2019
- [c6]Alexey Zabashta, Sergey Muravyov, Ivan Smetannikov:
Synthesis of Datasets with Specific Characteristics for the Clustering Problem. CSAI 2019: 43-47 - [c5]Ilya Kachalsky, Alexey Zabashta, Andrey Filchenkov, Georgiy Korneev:
Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks. ICAAI 2019: 97-101 - [c4]Alexey Zabashta, Andrey Filchenkov:
Active Dataset Generation for Meta-learning System Quality Improvement. IDEAL (1) 2019: 394-401 - 2017
- [c3]Alexey Zabashta, Andrey Filchenkov:
NDSE: Instance Generation for Classification by Given Meta-Feature Description. AutoML@PKDD/ECML 2017: 102-104 - 2016
- [c2]Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Rank Aggregation Algorithm Selection Meets Feature Selection. MLDM 2016: 740-755 - 2015
- [c1]Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. MetaSel@PKDD/ECML 2015: 115-116
Coauthor Index
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