Halyna Padalko

According to our database1, Halyna Padalko authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Links

On csauthors.net:

Bibliography

2024
A novel approach to fake news classification using LSTM-based deep learning models.
Frontiers Big Data, 2024

The Impact of Stopwords Removal on Disinformation Detection in Ukrainian language during Russian-Ukrainian war.
Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, 2024

2023
Misinformation Detection in Political News using BERT Model.
Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

Estimation of Ukrainian Refugees Impact on COVID-19 Dynamics in Czech Republic using Prophet Model.
Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

A Data-Driven Simulation of Ukrainian Refugee Flows Impact on COVID-19 Dynamics in the UK.
Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

COVID-19 Misinformation Detection on Weibo by Support Vector Classifier.
Proceedings of the 13th International Conference on Dependable Systems, 2023

2022
Application of Multidimensional Scaling Model for Hepatitis C Data Dimensionality Reduction.
Proceedings of the 2nd International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2022) 2022, 2022

2021
Evaluation of the Informative Features of Cardiac Studies Diagnostic Data using the Kullback Method.
Proceedings of the Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, 2021

Application of Information and Communication Technologies during Linear Programming Learning.
Proceedings of the Symposium on Information Technologies & Applied Sciences (IT&AS 2021), 2021

2020
Development of Intelligent Information Technology of Computer Processing of Pedagogical Tests Open Tasks Based on Machine Learning Approach.
Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, 2020


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