Matúš Tuna

Research areas: machine learning, artificial intelligence, few shot learning, semi-supervised learning, recommender systems, computer vision, medical AI, social networks

Position: Research Engineer

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Matúš has a PhD from Comenius University in Bratislava, where he studied (under supervision of Igor Farkaš) methods for improving the labelling efficiency of artificial neural networks in various machine learning applications, such as image recognition, image segmentation, and object pose recognition. He also has a background in designing and testing recommendation algorithms in e-commerce settings. Currently his research focuses on auditing social media platforms in the AI-Auditology project. He also focuses on researching trustworthy recommender systems focused on the domain of news articles (HERMES project) and on building and testing reliable LLM agents for the medical field (Dig4Health project).

Selected achievements

  • Phd from Comenius University Bratislava
  • Created competitive e-commerce recommender systems
  • Co-authored publications accepted to leading conferences and journals in machine learning, including IEEE Robotics and Automation Letters and UMAP

Selected Publications