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Богдан Павлишенко, Bohdan Pavlyshenko
Богдан Павлишенко, Bohdan Pavlyshenko
Ivan Franko National University of Lviv, Львівський національний університет імені Івана Франка
Verified email at electronics.lnu.edu.ua
Title
Cited by
Cited by
Year
Machine-learning models for sales time series forecasting
BM Pavlyshenko
Data 4 (1), 15, 2019
2322019
Using stacking approaches for machine learning models
B Pavlyshenko
2018 IEEE second international conference on data stream mining & processing …, 2018
2262018
Linear, machine learning and probabilistic approaches for time series analysis
BM Pavlyshenko
2016 IEEE first international conference on data stream mining & processing …, 2016
592016
Regression approach for modeling COVID-19 spread and its impact on stock market
BM Pavlyshenko
arXiv preprint arXiv:2004.01489, 2020
502020
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
502016
Classification analysis of authorship fiction texts in the space of semantic fields
B Pavlyshenko
Journal of Quantitative Linguistics 20 (3), 218-226, 2013
162013
Machine-learning models for sales time series forecasting. Data, 4 (1), 15
BM Pavlyshenko
112019
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
112014
Сингулярна декомпозиція матриці семантичних ознак в алгоритмі ієрархічної кластеризації текстових масивів
БМ Павлишенко
Математические машины и системы 1 (1), 69-76, 2012
102012
Using bayesian regression for stacking time series predictive models
BM Pavlyshenko
2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020
92020
Bitcoin price predictive modeling using expert correction
BM Pavlyshenko
2019 XIth International Scientific and Practical Conference on Electronics …, 2019
92019
Methods of Informational Trends Analytics and Fake News Detection on Twitter
BM Pavlyshenko
arXiv preprint arXiv:2204.04891, 2022
82022
Sales time series analytics using deep Q-learning
BM Pavlyshenko
arXiv preprint arXiv:2201.02058, 2022
72022
Genetic optimization of keyword subsets in the classification analysis of authorship of texts
B Pavlyshenko
Journal of Quantitative Linguistics 21 (4), 341-349, 2014
72014
Forecasting of events by tweet data mining
B Pavlyshenko
arXiv preprint arXiv:1310.3499, 2013
62013
Використання концепції семантичного поля у векторній моделі текстових документів
БМ Павлишенко
Восточно-Европейский журнал передовых технологий 6 (2 (54)), 7-11, 2011
62011
Analysis of disinformation and fake news detection using fine-tuned large language model
BM Pavlyshenko
arXiv preprint arXiv:2309.04704, 2023
52023
Can Twitter Predict Royal Baby's Name?
B Pavlyshenko
arXiv preprint arXiv:1310.3500, 2013
52013
Recombination Mechanism of Enhancement of the Dynamical Strain Sensitivity under Photoexcitation in Semiconductors
JM Stakhira, RY Shawar, BM Pavlishenko
UKRAINS'KYI FIZYCHNYI ZHURNAL 40, 723-725, 1995
51995
Financial News Analytics Using Fine-Tuned Llama 2 GPT Model
BM Pavlyshenko
arXiv preprint arXiv:2308.13032, 2023
42023
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