KY
Kyrylo Yemets
Lviv Polytechnic National University, National Technical University "Kharkiv Polytechnic Institute"
Research areas: Decision Sciences · Management Science and Operations Research · Stock Market Forecasting Methods · Time Series Analysis and Forecasting · Forecasting Techniques and Applications
0000-0002-5157-9118
About
I experienced machine learning engineer with a master's degree in applied mathematics. Ph.D. in the artificial intelligence field.
Employment
-
Lviv Polytechnic National University Researcher2022 - Present
Education
- 2022 - 2026
- 2019 - 2021
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Kharkiv Polytechnic Institute Bachelor2015 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- GateTS: Versatile and efficient forecasting via attention-inspired routed mixture-of-experts Save
- Improving long-horizon forecasting of neural networks via spectral features and decomposition Save
- Reconstructing missing global positioning data with zero-shot large language models Save
- A transformer-based time series forecasting model with an efficient data preprocessing scheme Save
- An enhanced cascade ensemble method for big data analysis Save
- Schedule-free optimization of the transformers-based time series forecasting model Save
- Cascade-Based Input-Doubling Classifier for Predicting Survival in Allogeneic Bone Marrow Transplants: Small Data Case Save
- Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme Save
- Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction Save
- A Comparative Assessment of the Cutting-Edge Time Series Forecasting Models Using Seasonal Data Save
- МЕТОДИ ПРОГНОЗУВАННЯ ЧАСОВИХ РЯДІВ З ВИРАЖЕНОЮ СЕЗОННІСТЮ НА ОСНОВІ ТРАНСФОРМЕРІВ Save
- A Method for Reducing Training Time of ML-Based Cascade Scheme for Large-Volume Data Analysis Save
- An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis Save
- YOLO-based segmented dataset for drone vs. bird detection for deep and machine learning algorithms Save
- SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets Save