Pilnenskiy N., Smetannikov I. Feature selection algorithms as one of the python data analytical tools. Future internet. 2020. Vol. 12. No. 3. pp. 54.
Smetannikov I., Bogacheva E., Татаренко Ф. Predicting Vocational Personality Type from Socio-demographic Features Using Machine Learning Methods. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. In press.
Filchenkov A., Oreshin S., Petrusha P., Krasheninnikov E., Panfilov A., Glukhov I., Kaliberda I.E., Masalskii D.V., Serdyukov A.A., Kazakovtcev V.L., Khlopotov M.V., Podolenchuk T.K., Smetannikov I., Kozlova D. Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. 1-7.
Smetannikov I., Pilnenskiy N. BagMeLiF: stable boosting-based hybrid-ensemble feature selection algorithm for high-dimensional data. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. In press.
Smetannikov I., Wang X., Zhang S. Fiction Popularity Prediction Based on Emotion Analysis. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. In press.
Smetannikov I., Mehta S. Finding the Blank with Sequence Labeling for English Learning. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. In press.
Smetannikov I., Guan W., Man T. Survey on Automatic Text Summarization and Transformer Models Applicability. Proceedings of the 2nd International Conference on Algorithms, Machine Learning and Signal Processing Shenzhen, China November 18-20, 2020. 2020. pp. In press.
Khanzhina N., Smetannikov I., Filchenkov A., Цай А. Regularization of Autoencoders for Bank Clients Profiling Based on Financial Transactions. Risks. 2020. pp. в печати.
Муравьёв С.Б., Ефимова В.А., Шаламов В.В., Фильченков А.А., Сметанников И.Б. Автоматическая настройка гиперпараметоров алгоритмов кластеризации с помощью обучения с подкреплением. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2019. Т. 19. № 3(121). С. 508-515.
Pilnenskiy N., Smetannikov I. Modern implementations of feature selection algorithms and their perspectives. Proceedings of the 25th Conference of Open Innovations Association FRUCT. 2019. pp. 250-256.
Bogacheva E., Puchkovskaia A., Smetannikov I. Named Entity Recognition for Russian Historical Texts. ACM International Conference Proceeding Series. 2019. pp. 13-17.
Zabashta A., Muravyov S., Smetannikov I. Synthesis of Datasets with Specific Characteristics for the Clustering Problem. ACM International Conference Proceeding Series. 2019. pp. 43-47.
Grachev P., Bezborodov R., Smetannikov I., Filchenkov A. Exploring the relationship between the structural and the actual similarities of automata. ACM International Conference Proceeding Series. 2019. pp. 81-86.
Методические рекомендации по организации и проведению учебной практики обучающихся
Методические рекомендации по организации и проведению производственной практики обучающихся
Budkov S., Buraya K., Filchenkov A., Smetannikov I., Puchkovskaia A. RICH-CPL: Fact Extraction from Wikipedia-sized Corpora for Morphologically Rich Languages. Proceedings of the 23rd Conference of Open Innovations Association FRUCT. 2018. pp. 78-84.
Сметанников И.Б. Параллельный алгоритм выбора признаков на основе очереди с приоритетом. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2017. Т. 17. № 4(110). С. 664-669.
Tanfilev I., Filchenkov A., Smetannikov I. Feature selection algorithm ensembling based on meta-learning. 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. 2017. pp. 1-6.
Grachev P., Lobanov I., Smetannikov I., Filchenkov A. Neural network for synthesizing deterministic finite automata. Procedia Computer Science. 2017. Vol. 119. pp. 73-82.
Isaev I., Smetannikov I. MeLiF+: Optimization of filter ensemble algorithm with parallel computing. IFIP Advances in Information and Communication Technology. 2016. Vol. 475. pp. 341-347.
Smetannikov I., Isaev I., Filchenkov A. New Approaches to Parallelization in Filters Aggregation Based Feature Selection Algorithms. Procedia Computer Science. 2016. Vol. 101. pp. 45-52.
Smetannikov I., Varlamov E., Filchenkov A. Swarm MeLiF: Feature selection with filter combination found via swarm intelligence. Advances in Intelligent Systems and Computing. 2016. Vol. 449. pp. 227-234.
Zabashta A., Smetannikov I., Filchenkov A. Rank aggregation algorithm selection meets feature selection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2016. Vol. 9729. pp. 740-755.
Smetannikov I., Filchenkov A. MeLiF: Filter Ensemble Learning Algorithm for Gene Selection. Advanced Science Letters. 2016. Vol. 22. No. 10. pp. 2982-2986.
Танфильев И.Д., Сметанников И.Б. Агрегирование ранжирований результатов в задаче выбора подмножества атрибутов на основе мета-обучения. Международная конференция по мягким вычислениям и измерениям. 2015. Т. 1. № Секции 1-3. С. 91-94.
Zabashta A., Smetannikov I., Filchenkov A. Study on meta-learning approach application in rank aggregation algorithm selection. CEUR Workshop Proceedings. 2015. Vol. 1455. pp. 115-117.
PCA-based algorithm for constructing ensembles of feature ranking filters
Сметанников И.Б., Долганов В.О., Фильченков А.А. Свидетельство о регистрации программы для ЭВМ №20156159 от 27.05.2015. не указано. 2015.
Filchenkov A., Dolganov V., Smetannikov I. PCA-based algorithm for constructing ensembles of feature ranking filters. 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings. 2015. pp. 201-206.
Российская Федерация
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Испания
Германия, Берлин