Oleksii Babych

Machine Learning Engineer at Provectus

Oleksii Babych is a Machine Learning Engineer at Provectus. With a background in physics, he possesses excellent analytical and math skills, and has gained valuable experience through scientific research and international conference presentations, including SPIE Photonics West. Oleksii specializes in creating end-to-end, large-scale AI/ML solutions for healthcare and fintech industries. He is involved in every stage of the ML development life cycle, from identifying business problems to deploying and running production ML models.

Multi-label NLP: An Analysis of Class Imbalance and Loss Function Approaches

By Oleksii Babych, Machine Learning Engineer at Provectus on March 17, 2023 in Natural Language Processing
In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

Oleksii Babych

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