Coding Clinical R with Confidence: Digital AI Assistant Based on Self-Hosted LLMs
Source category: Artificial Intelligence, Machine Learning and Large Language Models
Author collections: Kostiantyn Drach · Iryna Kotenko
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Kostiantyn Drach — Indexed Papers
Publications credited to Kostiantyn Drach in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
11 papers · Showing 1–11
Scaling Up: Accelerating Self-Hosted Open-Access LLMs to Compete with the Big Three (ChatGPT, Claude, Gemini)
Source category: Machine Learning, AI and Large Language Models
Author collections: Kostiantyn Drach · Iryna Kotenko
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data
Source category: Innovation Challenge
Author collections: Kostiantyn Drach · Sergey Glushakov
Visual discovery in Risk-Based Monitoring using topological models
Source category: Data Visualization and Reporting
Author collections: Kostiantyn Drach · Iryna Kotenko
Cluster Analysis vs. Graph-based Machine Learning: The Battle of the Strongest in Pattern Recognition
Source category: Emerging Trends
Author collections: Kostiantyn Drach · Iryna Kotenko
Exploring the spread of COVID-19 in the United States using unsupervised graph-based machine learning
Source category: Real World Evidence and Big Data
Author collections: Kostiantyn Drach · Iryna Kotenko
Identifying Signals and Similarities in Multiple Datasets Using Graph-based Machine Learning Algorithms
Source category: Innovation Challenge
Author collections: Kostiantyn Drach · Sergey Glushakov
Using the Geometric Properties of Datasets to Analyze the Accuracy of COVID-19 Forecasting Models
Source category: Vaccine Development
Author collections: Irina Kotenko · Kostiantyn Drach
Exploring Categorical Data Using Unsupervised Graph-based Machine Learning
Source category: Machine Learning & Connected Health
Author collections: Irina Kotenko · Kostiantyn Drach
Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series
Source category: Real-world Evidence
Author collections: Iryna Kotenko · Kostiantyn Drach
ML02 Sub-population Detection Using Graph-based Machine Learning
Source category: Machine Learning
Author collections: Sergey Glushakov · Kostiantyn Drach