Bohdan M. Pavlyshenko

34 papers Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity. CoRR Bohdan M. Pavlyshenko
2025	J	`jnl`	Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model. CoRR Bohdan M. Pavlyshenko
2024	J	`jnl`	Predictive Analytics of Air Alerts in the Russian-Ukrainian War. CoRR Demian Pavlyshenko, Bohdan M. Pavlyshenko
2024	J	`jnl`	Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process. CoRR Bohdan M. Pavlyshenko
2023	J	`jnl`	Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model. CoRR Bohdan M. Pavlyshenko
2023	J	`jnl`	Financial News Analytics Using Fine-Tuned Llama 2 GPT Model. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Analytics of Business Time Series Using Machine Learning and Bayesian Inference. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Bitcoin Price Predictive Modeling Using Expert Correction. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Forecasting of Non-Stationary Sales Time Series Using Deep Learning. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Forming Predictive Features of Tweets for Decision-Making Support. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Methods of Informational Trends Analytics and Fake News Detection on Twitter. CoRR Bohdan M. Pavlyshenko
2022	J	`jnl`	Sales Time Series Analytics Using Deep Q-Learning. CoRR Bohdan M. Pavlyshenko
2021	—	`conf`	Forming Predictive Features of Tweets for Decision-Making Support. ISDMCI Bohdan M. Pavlyshenko
2020	—	`conf`	Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics. DSMP (Selected Papers) Bohdan M. Pavlyshenko
2020	J	`jnl`	Sales Time Series Analytics using Deep Q-Learning. Int. J. Comput. Bohdan M. Pavlyshenko
2020	—	`conf`	Using Bayesian Regression for Stacking Time Series Predictive Models. DSMP Bohdan M. Pavlyshenko
2019	J	`jnl`	Machine-Learning Models for Sales Time Series Forecasting. Data Bohdan M. Pavlyshenko
2018	—	`conf`	Using Stacking Approaches for Machine Learning Models. DSMP Bohdan M. Pavlyshenko
2017	J	`jnl`	Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis. CoRR Bohdan M. Pavlyshenko
2016	—	`conf`	Linear, machine learning and probabilistic approaches for time series analysis. DSMP Bohdan M. Pavlyshenko
2016	J	`jnl`	Machine Learning, Linear and Bayesian Models for Logistic Regression in Failure Detection Problems. CoRR Bohdan M. Pavlyshenko
2016	—	`conf`	Machine learning, linear and Bayesian models for logistic regression in failure detection problems. IEEE BigData Bohdan M. Pavlyshenko
2014	J	`jnl`	Genetic Optimization of Keyword Subsets in the Classification Analysis of Authorship of Texts. J. Quant. Linguistics Bohdan M. Pavlyshenko
2013	J	`jnl`	Can Twitter Predict Royal Baby's Name ? CoRR Bohdan M. Pavlyshenko
2013	J	`jnl`	Classification analysis of authorship fiction texts in the space of semantic fields. J. Quant. Linguistics Bohdan M. Pavlyshenko
2013	J	`jnl`	Data Mining of the Concept "End of the World" in Twitter Microblogs CoRR Bohdan M. Pavlyshenko
2013	J	`jnl`	Forecasting of Events by Tweet Data Mining. CoRR Bohdan M. Pavlyshenko
2013	J	`jnl`	Tweets Miner for Stock Market Analysis CoRR Bohdan M. Pavlyshenko
2012	J	`jnl`	Classification Analysis Of Authorship Fiction Texts in The Space Of Semantic Fields CoRR Bohdan M. Pavlyshenko
2012	J	`jnl`	Genetic Optimization of Keywords Subset in the Classification Analysis of Texts Authorship CoRR Bohdan M. Pavlyshenko
2012	J	`jnl`	The Clustering of Author's Texts of English Fiction in the Vector Space of Semantic Fields CoRR Bohdan M. Pavlyshenko
2012	J	`jnl`	The Model of Semantic Concepts Lattice For Data Mining Of Microblogs CoRR Bohdan M. Pavlyshenko
2011	J	`jnl`	Model of Semantic Context of Lexemes in the Text Mining Algorithms. Int. J. Comput. Bohdan M. Pavlyshenko