| Classification tree extraction from trained artificial neural networks A Bondarenko, L Aleksejeva, V Jumutc, A Borisov Procedia Computer Science 104, 556-563, 2017 | 39 | 2017 |
| Neurons vs weights pruning in artificial neural networks A Bondarenko, A Borisov, L Alekseeva ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International …, 2015 | 21 | 2015 |
| Research on the classification ability of deep belief networks on small and medium datasets A Bondarenko, A Borisov Information Technology and Management Science 16 (1), 60-65, 2013 | 14 | 2013 |
| Multi-class CNN for classification of multispectral and autofluorescence skin lesion clinical images I Lihacova, A Bondarenko, Y Chizhov, D Uteshev, D Bliznuks, N Kiss, ... Journal of Clinical Medicine 11 (10), 2833, 2022 | 13 | 2022 |
| Decompositional rules extraction methods from neural networks A Bondarenko, T Zmanovska, A Borisov Proceedings of the 16th International Conference on Soft Computing MENDEL’10 …, 2010 | 8 | 2010 |
| Methodology for Knowledge Extraction from Trained Artificial Neural Networks. A Bondarenko, L Aleksejeva Information Technology & Management Science (RTU Publishing House) 21, 2018 | 7 | 2018 |
| Artificial neural network generalization and simplification via pruning A Bondarenko, A Borisov Information Technology and Management Science 17 (1), 132-137, 2014 | 7 | 2014 |
| Extraction of interpretable rules from piecewise-linear approximation of a nonlinear classifier using clustering-based decomposition A Bondarenko, V Jumutc Cambridge, AIKED, 2011 | 6 | 2011 |
| Identification of the most informative wavelengths for non-invasive melanoma diagnostics in spectral region from 450 to 950 nm D Bliznuks, Y Chizhov, A Bondarenko, D Uteshev, A Lihachev, I Lihacova Saratov Fall Meeting 2019: Computations and Data Analysis: from Nanoscale …, 2020 | 4 | 2020 |
| Elliptical rule extraction from a trained radial basis function neural network A Bondarenko, A Borisovs The 6th International Conference “Applied Information and Communication …, 2013 | 4 | 2013 |
| Workflow for Knowledge Extraction from Neural Network Classifiers A Bondarenko, L Aleksejeva 2018 59th International Scientific Conference on Information Technology and …, 2018 | 3 | 2018 |
| The Extraction of Elliptical Rules from the Trained Radial Basis Function Neural Network A Bondarenko, A Borisov Information Technology and Management Science 15 (1), 161-165, 2012 | 3 | 2012 |
| Brain Electrical Bioactivity Informational Specifics in Relation to Behavioural and Cognitive Functions in Children with Learning Difficulties N Tolmacha, K Pudvosky, J Vandans, A Bondarenko bioRxiv, 2022.12. 30.522305, 2022 | 2 | 2022 |
| At the pulse of time: Machine vision in retinal videos T Hamann, M Wiest, A Mislevics, A Bondarenko, S Zweifel Machine Learning in Clinical Neuroscience: Foundations and Applications, 303-311, 2022 | 2 | 2022 |
| Embedded neural network system for microorganisms growth analysis D Bliznuks, Y Chizhov, A Bondarenko, D Uteshev, J Liepins, S Zolins, ... Saratov Fall Meeting 2019: Optical and Nano-Technologies for Biology and …, 2020 | 2 | 2020 |
| Use of machine learning approaches to improve non-invasive skin melanoma diagnostic method in spectral range 450-950nm A Bondarenko, Y Chizhov, D Uteshev, D Bliznuks, A Lihachev, I Lihacova Optics, Photonics and Digital Technologies for Imaging Applications VI 11353 …, 2020 | 2 | 2020 |
| Controlling Complexity and Accuracy of Classification Decision Tree Extracted from Trained Artificial Neural Network A Bondarenko 2019 60th International Scientific Conference on Information Technology and …, 2019 | 2 | 2019 |
| Polytope classifier: a symbolic knowledge extraction from piecewise-linear support vector machine V Jumutc, A Bondarenko International Conference on Knowledge-Based and Intelligent Information and …, 2011 | 2 | 2011 |
| Research of Artificial Neural Networks Abilities in Printed Words Recognition. A Bondarenko, A Borisov Sci. J. Riga Tech. Univ. Ser. Comput. Sci. 42, 124-129, 2010 | 2 | 2010 |
| Piece-Wise Classifier Application to RBF Neural Network Rules Extraction A Bondarenko, T Zmanovska, A Borisovs 17th International Conference on Soft Computing (MENDEL’11), Brno, Czech …, 0 | 2 | |
