Научные руководители
Сметанников Иван Борисовичкандидат технических наук ismetannikov@itmo.ru Структурное подразделение: факультет информационных технологий и программирования Должность: доцент (квалификационная категория "ординарный доцент") Профиль: 05.13.17 - Теоретические основы информатики 05.13.18 - Математическое моделирование, численные методы и комплексы программ Область интересов: Искусственный интеллект, машинное обучение, обработка естественных языков, уменьшение размерности, глубокое обучение, выбор признаков, автоматическое обучение, мета обучение. Рабочий язык: Английский, Русский |
Публикации руководителя
| Выходные данные | Год | Индексирование в БД |
| Pilnenskiy N., Smetannikov I. BagMeLiF: stable boosting-based hybrid-ensemble feature selection algorithm for high-dimensional data//ACM International Conference Proceeding Series, 2020, pp. 196-201 | 2020 | Scopus, Web of Science |
| Mehta S., Smetannikov I. Finding the Blank with Sequence Labeling for English Learning//ACM International Conference Proceeding Series, 2020, pp. 191-195 | 2020 | Scopus, Web of Science |
| Guan W., Smetannikov I., Tianxing M. Survey on Automatic Text Summarization and Transformer Models Applicability//ACM International Conference Proceeding Series, 2020, pp. 176-184 | 2020 | Scopus, Web of Science |
| Wang X., Zhang S., Smetannikov I. Fiction Popularity Prediction Based on Emotion Analysis//ACM International Conference Proceeding Series, 2020, pp. 169-175 | 2020 | Scopus, Web of Science |
| Oreshin S., Filchenkov A., Petrusha P., Krasheninnikov E., Panfilov A., Glukhov I., Kaliberda Y., Masalskiy D., Serdyukov A., Kazakovtsev V.L., Khlopotov M., Podolenchuk T., Smetannikov I., Kozlova D. Implementing a Machine Learning Approach to Predicting Students' Academic Outcomes//ACM International Conference Proceeding Series, 2020, pp. 78-83 | 2020 | Scopus, Web of Science |
| Bogacheva E., Tatarenko F., Smetannikov I. Predicting Vocational Personality Type from Socio-demographic Features Using Machine Learning Methods//ACM International Conference Proceeding Series, 2020, pp. 93-98 | 2020 | Scopus, Web of Science |
| Pilnenskiy N., Smetannikov I. Feature selection algorithms as one of the python data analytical tools//Future internet, 2020, Vol. 12, No. 3, pp. 54 | 2020 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | Scopus, Web of Science |
| 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 | 2019 | ВАК, РИНЦ |
| 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 | 2019 | Scopus, Web of Science |
| Bogacheva E., Puchkovskaia A., Smetannikov I. Named Entity Recognition for Russian Historical Texts//ACM International Conference Proceeding Series, 2019, pp. 13-17 | 2019 | Scopus, Web of Science |
| 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 | 2018 | Scopus, Web of Science |
| Grachev P., Lobanov I., Smetannikov I., Filchenkov A. Neural network for synthesizing deterministic finite automata//Procedia Computer Science, 2017, Vol. 119, pp. 73-82 | 2017 | Scopus, Web of Science |
| 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 | 2017 | Scopus, Web of Science |
| 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 | 2017 | ВАК, РИНЦ |
| 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 | 2016 | Scopus, Web of Science |
| 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 | 2016 | Scopus, Web of Science |
| 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 | 2016 | Scopus, Web of Science |
| Smetannikov I., Filchenkov A. MeLiF: Filter Ensemble Learning Algorithm for Gene Selection//Advanced Science Letters, 2016, Vol. 22, No. 10, pp. 2982-2986 | 2016 | Scopus, Web of Science |
| 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 | 2016 | Scopus, Web of Science |
| 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 | 2015 | Scopus |
| 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 | 2015 | РИНЦ |
| 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 | 2015 | Scopus |