| Detecting value-added tax evasion by business entities of Kazakhstan Z Assylbekov, I Melnykov, R Bekishev, A Baltabayeva, D Bissengaliyeva, ... Intelligent Decision Technologies 2016: Proceedings of the 8th KES …, 2016 | 32 | 2016 |
| CTHRC1: a new candidate biomarker for improved rheumatoid arthritis diagnosis A Myngbay, Y Bexeitov, A Adilbayeva, Z Assylbekov, BP Yevstratenko, ... Frontiers in Immunology 10, 1353, 2019 | 28 | 2019 |
| Fourier neural networks: A comparative study M Uteuliyeva, A Zhumekenov, R Takhanov, Z Assylbekov, AJ Castro, ... Intelligent Data Analysis 24 (5), 1107-1120, 2020 | 27* | 2020 |
| Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones Z Assylbekov, R Takhanov, B Myrzakhmetov, JN Washington EMNLP, 2017 | 19 | 2017 |
| Initial explorations in kazakh to english statistical machine translation Z Assylbekov, A Nurkas Initial explorations in Kazakh to English statistical machine translation, 12-16, 2014 | 12 | 2014 |
| On approximating some statistics of goodness-of-fit tests in the case of three-dimensional discrete data ZA Asylbekov, VN Zubov, VV Ulyanov Siberian mathematical journal 52 (4), 571-584, 2011 | 12 | 2011 |
| Context vectors are reflections of word vectors in half the dimensions Z Assylbekov, R Takhanov Journal of Artificial Intelligence Research 66, 225-242, 2019 | 10 | 2019 |
| Experiments with Russian to Kazakh sentence alignment Z Assylbekov, B Myrzakhmetov, A Makazhanov The 4-th International Conference on Computer Processing of Turkic Languages …, 2016 | 8 | 2016 |
| A free/open-source hybrid morphological disambiguation tool for Kazakh Z Assylbekov, J North, F Tyers, A Nurkas, A Sundetova, A Karibayeva, ... TurCLing@CICLing 2016, 18-26, 2016 | 8 | 2016 |
| Reusing Weights in Subword-aware Neural Language Models Z Assylbekov, R Takhanov NAACL-HLT, 2018 | 6 | 2018 |
| The rediscovery hypothesis: Language models need to meet linguistics V Nikoulina, M Tezekbayev, N Kozhakhmet, M Babazhanova, M Gallé, ... Journal of Artificial Intelligence Research 72, 1343-1384, 2021 | 5 | 2021 |
| Convergence rate of multinomial goodness-of-fit statistics to chi-square distribution Z Assylbekov Hiroshima Mathematical Journal 40 (1), 115-131, 2010 | 5 | 2010 |
| A Critique of the Smooth Inverse Frequency Sentence Embeddings (Student Abstract) A Karipbayeva, A Sorokina, Z Assylbekov Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13835 …, 2020 | 3 | 2020 |
| Patterns versus Characters in Subword-aware Neural Language Modeling R Takhanov, Z Assylbekov ICONIP, 2017 | 3 | 2017 |
| Hyperbolic Embedding for Finding Syntax in BERT T Auyespek, T Mach, Z Assylbekov | 2 | 2021 |
| Geometric Probing of Word Vectors. M Babazhanova, M Tezekbayev, Z Assylbekov ESANN, 2021 | 2 | 2021 |
| Squashed shifted pmi matrix: bridging word embeddings and hyperbolic spaces Z Assylbekov, A Jangeldin AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint …, 2020 | 2* | 2020 |
| Reproducing and regularizing the scrn model O Kabdolov, Z Assylbekov, R Takhanov Proceedings of the 27th International Conference on Computational …, 2018 | 2 | 2018 |
| Speeding Up Entmax M Tezekbayev, V Nikoulina, M Gallé, Z Assylbekov Findings of NAACL, 2022 | 1 | 2022 |
| Approximation error of Fourier neural networks A Zhumekenov, R Takhanov, AJ Castro, Z Assylbekov Statistical Analysis and Data Mining: The ASA Data Science Journal 14 (3 …, 2021 | 1 | 2021 |
Rustem TakhanovNazarbayev UniversityVerified email at nu.edu.kz
