| Using stacking approaches for machine learning models B Pavlyshenko 2018 IEEE second international conference on data stream mining & processing …, 2018 | 287 | 2018 |
| Machine-learning models for sales time series forecasting BM Pavlyshenko Data 4 (1), 15, 2019 | 272 | 2019 |
| Linear, machine learning and probabilistic approaches for time series analysis BM Pavlyshenko 2016 IEEE first international conference on data stream mining & processing …, 2016 | 63 | 2016 |
| Machine learning, linear and bayesian models for logistic regression in failure detection problems B Pavlyshenko 2016 IEEE international conference on big data (big data), 2046-2050, 2016 | 54 | 2016 |
| Regression approach for modeling COVID-19 spread and its impact on stock market BM Pavlyshenko arXiv preprint arXiv:2004.01489, 2020 | 52 | 2020 |
| Financial news analytics using fine-tuned Llama 2 GPT Model BM Pavlyshenko arXiv preprint arXiv:2308.13032, 2023 | 18 | 2023 |
| Machine-learning models for sales time series forecasting. Data, 4 (1), 15 BM Pavlyshenko | 16 | 2019 |
| Classification analysis of authorship fiction texts in the space of semantic fields B Pavlyshenko Journal of Quantitative Linguistics 20 (3), 218-226, 2013 | 16 | 2013 |
| Clustering of authors’ texts of english fiction in the vector space of semantic fields B Pavlyshenko Cybernetics and Information Technologies 14 (3), 25-36, 2014 | 11 | 2014 |
| Methods of informational trends analytics and fake news detection on twitter BM Pavlyshenko arXiv preprint arXiv:2204.04891, 2022 | 10 | 2022 |
| Using bayesian regression for stacking time series predictive models BM Pavlyshenko 2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020 | 10 | 2020 |
| Сингулярна декомпозиція матриці семантичних ознак в алгоритмі ієрархічної кластеризації текстових масивів БМ Павлишенко Математические машины и системы 1 (1), 69-76, 2012 | 10 | 2012 |
| Analysis of disinformation and fake news detection using fine-tuned large language model BM Pavlyshenko arXiv preprint arXiv:2309.04704, 2023 | 9 | 2023 |
| Bitcoin price predictive modeling using expert correction BM Pavlyshenko 2019 XIth International Scientific and Practical Conference on Electronics …, 2019 | 9 | 2019 |
| Sales time series analytics using deep Q-learning BM Pavlyshenko arXiv preprint arXiv:2201.02058, 2022 | 7 | 2022 |
| Genetic optimization of keyword subsets in the classification analysis of authorship of texts B Pavlyshenko Journal of Quantitative Linguistics 21 (4), 341-349, 2014 | 7 | 2014 |
| Forecasting of events by tweet data mining B Pavlyshenko arXiv preprint arXiv:1310.3499, 2013 | 6 | 2013 |
| Використання концепції семантичного поля у векторній моделі текстових документів БМ Павлишенко Восточно-Европейский журнал передовых технологий 6 (2 (54)), 7-11, 2011 | 6 | 2011 |
| Bayesian regression approach for building and stacking predictive models in time series analytics B Pavlyshenko Data Stream Mining & Processing: Third International Conference, DSMP 2020 …, 2020 | 5 | 2020 |
| Can Twitter Predict Royal Baby's Name? B Pavlyshenko arXiv preprint arXiv:1310.3500, 2013 | 5 | 2013 |
