Feature selection algorithms as one of the python data analytical tools N Pilnenskiy, I Smetannikov Future Internet 12 (3), 54, 2020 | 15 | 2020 |
MeLiF: filter ensemble learning algorithm for gene selection I Smetannikov, A Filchenkov Advanced Science Letters 22 (10), 2982-2986, 2016 | 11 | 2016 |
Neural network for synthesizing deterministic finite automata P Grachev, I Lobanov, I Smetannikov, A Filchenkov Procedia computer science 119, 73-82, 2017 | 9 | 2017 |
PCA-based algorithm for constructing ensembles of feature ranking filters A Filchenkov, V Dolganov, I Smetannikov Proc. ESANN, 201-206, 2015 | 6 | 2015 |
Fiction Popularity Prediction Based on Emotion Analysis X Wang, S Zhang, I Smetannikov 2020 International Conference on Control, Robotics and Intelligent System …, 2020 | 5 | 2020 |
Exploring the Relationship between the Structural and the Actual Similarities of Automata P Grachev, R Bezborodov, I Smetannikov, A Filchenkov Proceedings of the 3rd International Conference on Machine Learning and Soft …, 2019 | 4 | 2019 |
Melif+: optimization of filter ensemble algorithm with parallel computing I Isaev, I Smetannikov IFIP International Conference on Artificial Intelligence Applications and …, 2016 | 4 | 2016 |
Feature selection algorithm ensembling based on meta-learning I Tanfilev, A Filchenkov, I Smetannikov 2017 10th International Congress on Image and Signal Processing, BioMedical …, 2017 | 3 | 2017 |
Meta learning application in rank aggregation feature selection I Smetannikov, A Deyneka, A Filchenkov 2016 3rd International Conference on Soft Computing & Machine Intelligence …, 2016 | 3 | 2016 |
Rank aggregation algorithm selection meets feature selection A Zabashta, I Smetannikov, A Filchenkov International Conference on Machine Learning and Data Mining in Pattern …, 2016 | 3 | 2016 |
Study on Meta-Learning Approach Application in Rank Aggregation Algorithm Selection. A Zabashta, I Smetannikov, A Filchenkov MetaSel@ PKDD/ECML, 115-116, 2015 | 3 | 2015 |
Survey on automatic text summarization and transformer models applicability W Guan, I Smetannikov, M Tianxing 2020 International Conference on Control, Robotics and Intelligent System …, 2020 | 2 | 2020 |
Implementing a Machine Learning Approach to Predicting Students’ Academic Outcomes S Oreshin, A Filchenkov, P Petrusha, E Krasheninnikov, A Panfilov, ... 2020 International Conference on Control, Robotics and Intelligent System, 78-83, 2020 | 2 | 2020 |
Modern Implementations of Feature Selection Algorithms and Their Perspectives N Pilnenskiy, I Smetannikov 2019 25th Conference of Open Innovations Association (FRUCT), 250-256, 2019 | 2 | 2019 |
AUTOMATIC HYPERPARAMETER OPTIMIZATION FOR CLUSTERING ALGORITHMS WITH REINFORCEMENT LEARNIN SB Muravyov, VA Efimova, VV Shalamov, AA Filchenkov Journal Scientific and Technical Of Information Technologies, Mechanics and …, 2019 | 2 | 2019 |
New approaches to parallelization in filters aggregation based feature selection algorithms I Smetannikov, I Isaev, A Filchenkov Procedia Computer Science 101, 45-52, 2016 | 2 | 2016 |
Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions A Filchenkov, N Khanzhina, A Tsai, I Smetannikov Risks 9 (3), 54, 2021 | 1 | 2021 |
Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions. Risks 9: 54 A Filchenkov, N Khanzhina, A Tsai, I Smetannikov s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Finding the Blank with Sequence Labeling for English Learning S Mehta, I Smetannikov 2020 International Conference on Control, Robotics and Intelligent System …, 2020 | | 2020 |
Predicting Vocational Personality Type from Socio-demographic Features Using Machine Learning Methods E Bogacheva, F Tatarenko, I Smetannikov 2020 International Conference on Control, Robotics and Intelligent System, 93-98, 2020 | | 2020 |