Bohdan M. Pavlyshenko

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 19

Top Topics

Bayesian Models

Predictive Model

Decision Making Support

Top Venues

Publications

Bohdan M. Pavlyshenko
Financial News Analytics Using Fine-Tuned Llama 2 GPT Model. CoRR (2023)
Bohdan M. Pavlyshenko
Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model. CoRR (2023)
Bohdan M. Pavlyshenko
Forming Predictive Features of Tweets for Decision-Making Support. CoRR (2022)
Bohdan M. Pavlyshenko
Bitcoin Price Predictive Modeling Using Expert Correction. CoRR (2022)
Bohdan M. Pavlyshenko
Sales Time Series Analytics Using Deep Q-Learning. CoRR (2022)
Bohdan M. Pavlyshenko
Analytics of Business Time Series Using Machine Learning and Bayesian Inference. CoRR (2022)
Bohdan M. Pavlyshenko
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics. CoRR (2022)
Bohdan M. Pavlyshenko
Methods of Informational Trends Analytics and Fake News Detection on Twitter. CoRR (2022)
Bohdan M. Pavlyshenko
Forecasting of Non-Stationary Sales Time Series Using Deep Learning. CoRR (2022)
Bohdan M. Pavlyshenko
Forming Predictive Features of Tweets for Decision-Making Support. ISDMCI (2021)
Bohdan M. Pavlyshenko
Bayesian Regression Approach for Building and Stacking Predictive Models in Time Series Analytics. DSMP (2020)
Bohdan M. Pavlyshenko
Using Bayesian Regression for Stacking Time Series Predictive Models. DSMP (2020)
Bohdan M. Pavlyshenko
Sales Time Series Analytics using Deep Q-Learning. Int. J. Comput. 19 (2020)
Bohdan M. Pavlyshenko
Machine-Learning Models for Sales Time Series Forecasting. Data 4 (1) (2019)
Bohdan M. Pavlyshenko
Using Stacking Approaches for Machine Learning Models. DSMP (2018)
Bohdan M. Pavlyshenko
Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis. CoRR (2017)
Bohdan M. Pavlyshenko
Linear, machine learning and probabilistic approaches for time series analysis. DSMP (2016)
Bohdan M. Pavlyshenko
Machine learning, linear and Bayesian models for logistic regression in failure detection problems. IEEE BigData (2016)
Bohdan M. Pavlyshenko
Machine Learning, Linear and Bayesian Models for Logistic Regression in Failure Detection Problems. CoRR (2016)
Bohdan M. Pavlyshenko
Genetic Optimization of Keyword Subsets in the Classification Analysis of Authorship of Texts. J. Quant. Linguistics 21 (4) (2014)
Bohdan M. Pavlyshenko
Data Mining of the Concept "End of the World" in Twitter Microblogs CoRR (2013)
Bohdan M. Pavlyshenko
Classification analysis of authorship fiction texts in the space of semantic fields. J. Quant. Linguistics 20 (3) (2013)
Bohdan M. Pavlyshenko
Can Twitter Predict Royal Baby's Name ? CoRR (2013)
Bohdan M. Pavlyshenko
Forecasting of Events by Tweet Data Mining. CoRR (2013)
Bohdan M. Pavlyshenko
Tweets Miner for Stock Market Analysis CoRR (2013)
Bohdan M. Pavlyshenko
The Clustering of Author's Texts of English Fiction in the Vector Space of Semantic Fields CoRR (2012)
Bohdan M. Pavlyshenko
Classification Analysis Of Authorship Fiction Texts in The Space Of Semantic Fields CoRR (2012)
Bohdan M. Pavlyshenko
Genetic Optimization of Keywords Subset in the Classification Analysis of Texts Authorship CoRR (2012)
Bohdan M. Pavlyshenko
The Model of Semantic Concepts Lattice For Data Mining Of Microblogs CoRR (2012)
Bohdan M. Pavlyshenko
Model of Semantic Context of Lexemes in the Text Mining Algorithms. Int. J. Comput. 10 (3) (2011)