6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.IR2025
Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
Andrii Dzhoha, Alisa Mironenko, Evgeny Labzin +3
Modern sequential recommender systems commonly use transformer-based models for next-item prediction. While these models demonstrate a strong balance between efficiency and quality…
cs.CV2020★ 6 cited
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus +3
In recent years, Convolutional Neural Networks (CNNs) have become the state-of-the-art method for biomedical image analysis. However, these networks are usually trained in a superv…