معرفی
Dr. Gintautas Dzemyda is a leading research professor in data mining, machine learning, and multidimensional data visualization. With over 30 years of academic contributions, he has authored/co-authored 49+ publications and participated in 20+ conferences, including WorldCIST and Baltic DB&IS. His work spans medical imaging, financial security, and maritime decision support systems.
- Research Focus: Multidimensional Scaling (MDS), Neural Networks, Medical Image Analysis
- Key Collaborations: Olga Kurasova, Viktor Medvedev, Martynas Sabaliauskas
Research Interests include:
- Advanced Data Visualization Techniques
- Machine Learning for Medical Diagnostics
- Fraud Detection in Financial Systems
- Decision Support Systems for Maritime Navigation
- Optimization of Neural Network Architectures
- Dimensionality Reduction Methods
Scientific Awards (none explicitly mentioned).
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