Kostiantyn Drach

8 papers and 2 presentations; 10 titles; 3 coauthors.

Conference ×	Year ×	Title ×	Co-authors	Extras	Pages
PHUSE US	2026	Coding Clinical R with Confidence: Digital AI Assistant based on Self-Hosted LLMs		source presentation source	8
PHUSE US	2025	Scaling up: accelerating self-hosted open-access LLMs to compete with the Big Three (ChatGPT, Claude, Gemini)		source presentation source	12
PharmaSUG	2024	Visual discovery in Risk-Based Monitoring using topological models	Iryna Kotenko	source	31
PHUSE US	2024	Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data	Sergey Glushakov	source presentation source	12
PharmaSUG	2023	Exploring the spread of COVID-19 in the United States using unsupervised graph-based machine learning	Iryna Kotenko	source	39
PHUSE US	2023	Cluster analysis vs. graph-based machine learning: the battle of the strongest in pattern recognition	Iryna Kotenko	source presentation source	31
PHUSE US	2022	Using the Geometric Properties of Datasets to Analyze the Accuracy of COVID-19 Forecasting Models [presentation]	Irina Kotenko	source	30
PHUSE US	2021	Exploring Categorical Data Using Unsupervised Graph-based Machine Learning [presentation]	Irina Kotenko	source video	34
PHUSE EU	2020	Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series	Iryna Kotenko	source video presentation source	32
PHUSE EU	2019	Sub-population Detection Using Graph-based Machine Learning	Sergey Glushakov	source	28

Kostiantyn Drach Bibliography