Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. - Alexey Zabashta; Ivan Smetannikov; Andrey Filchenkov (MetaSel@PKDD/ECML, 2015)

Rank Aggregation Algorithm Selection Meets Feature Selection. - Alexey Zabashta; Ivan Smetannikov; Andrey Filchenkov (MLDM, 2016)

NDSE: Instance Generation for Classification by Given Meta-Feature Description. - Alexey Zabashta; Andrey Filchenkov (AutoML@PKDD/ECML, 2017)

Synthesis of Datasets with Specific Characteristics for the Clustering Problem. - Alexey Zabashta; Sergey Muravyov; Ivan Smetannikov (CSAI, 2019)

Generating Datasets for Classification Task and Predicting Best Classifiers with Conditional Generative Adversarial Networks. - Ilya Kachalsky; Alexey Zabashta; Andrey Filchenkov; Georgiy Korneev (ICAAI, 2019)

Active Dataset Generation for Meta-learning System Quality Improvement. - Alexey Zabashta; Andrey Filchenkov (IDEAL (1), 2019)

Graph Convolutional Network Based Generative Adversarial Networks for the Algorithm Selection Problem in Classification. - Gleb Drozdov; Alexey Zabashta; Andrey Filchenkov (CCRIS, 2020)

Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection. - Ilya Sahipov; Alexey Zabashta; Andrey Filchenkov (IDEAL (2), 2020)

Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks. - Dmitry Krylov; Semen Poliakov; Natalia Khanzhina; Alexey Zabashta; Andrey Filchenkov; Aleksandr Farseev (MULL @ ACM Multimedia, 2021)