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ORCIDIvan Smetannikov
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2020 – today
- 2020
[j1]Nikita Pilnenskiy, Ivan Smetannikov
:
Feature Selection Algorithms as One of the Python Data Analytical Tools. Future Internet 12(3): 54 (2020)- [c16]Svyatoslav Oreshin, Andrey Filchenkov, Polina Petrusha, Egor Krasheninnikov, Alexander Panfilov, Igor Glukhov, Yulia E. Kaliberda, Daniil Masalskiy, Alexey Serdyukov, Vladimir Kazakovtsev, Maksim Khlopotov, Timofey Podolenchuk, Ivan Smetannikov, Daria Kozlova:
Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. CCRIS 2020: 78-83 - [c15]Evgenia Bogacheva, Filipp Tatarenko, Ivan Smetannikov:
Predicting Vocational Personality Type from Socio-demographic Features Using Machine Learning Methods. CCRIS 2020: 93-98 - [c14]Xing Wang, Shouhua Zhang, Ivan Smetannikov:
Fiction Popularity Prediction Based on Emotion Analysis. CCRIS 2020: 169-175 - [c13]Guan Wang, Ivan Smetannikov, Tianxing Man:
Survey on Automatic Text Summarization and Transformer Models Applicability. CCRIS 2020: 176-184 - [c12]Shivam Mehta, Ivan Smetannikov:
Finding the Blank with Sequence Labeling for English Learning. CCRIS 2020: 191-195 - [c11]Nikita Pilnenskiy, Ivan Smetannikov:
BagMeLiF: stable boosting-based hybrid-ensemble feature selection algorithm for high-dimensional data. CCRIS 2020: 196-201
2010 – 2019
- 2019
- [c10]Evgenia Bogacheva, Antonina Puchkovskaia, Ivan Smetannikov:
Named Entity Recognition for Russian Historical Texts. CSAI 2019: 13-17 - [c9]Alexey Zabashta, Sergey Muravyov, Ivan Smetannikov:
Synthesis of Datasets with Specific Characteristics for the Clustering Problem. CSAI 2019: 43-47 - [c8]Nikita Pilnenskiy, Ivan Smetannikov:
Modern Implementations of Feature Selection Algorithms and Their Perspectives. FRUCT 2019: 250-256 - [c7]Petr Grachev, Roman Bezborodov, Ivan Smetannikov, Andrey Filchenkov:
Exploring the Relationship between the Structural and the Actual Similarities of Automata. ICMLSC 2019: 81-86 - 2018
- [c6]Sergey Budkov, Kseniya Buraya, Andrey Filchenkov, Ivan Smetannikov, Antonina Puchkovskaia:
RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages. FRUCT 2018: 78-84 - 2017
- [c5]Igor Tanfilev, Andrey Filchenkov, Ivan Smetannikov:
Feature selection algorithm ensembling based on meta-learning. CISP-BMEI 2017: 1-6 - 2016
- [c4]Ilya Isaev, Ivan Smetannikov:
MeLiF+: Optimization of Filter Ensemble Algorithm with Parallel Computing. AIAI 2016: 341-347 - [c3]Alexey Zabashta, Ivan Smetannikov, Andrey Filchenkov:
Rank Aggregation Algorithm Selection Meets Feature Selection. MLDM 2016: 740-755 - [i1]Ivan Smetannikov, Ilya Isaev, Andrey Filchenkov:
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms. CoRR abs/1611.02047 (2016) - 2015
- [c2]Andrey Filchenkov, Vladislav Dolganov, Ivan Smetannikov:
PCA-based algorithm for feature score measures ensemble construction. ESANN 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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