Hanna Suominen
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- Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease (2022)
- Frontiers in Medicine
- m-Networks: Adapting the Triplet Networks for Acronym Disambiguation (2022) Proceedings of the 4th Clinical Natural Language Processing Workshop Seneviratne Sandaru, Daskalaki Elena, Lenskiy Artem, Suominen Hanna
- Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes (2022)
- Lecture Notes in Computer Science
- Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction (2022) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop Papaluca Andrea, Krefl Daniel, Suominen Hanna, Lenskiy Artem
- Scoping natural language processing in Indonesian and Malay for education applications (2022)
- Annual Meeting of the Association for Computational Linguistics
- The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis (2022)
- BMJ Open
- The Potential of Current Noninvasive Wearable Technology for the Monitoring of Physiological Signals in the Management of Type 1 Diabetes: Literature Survey (2022)
- Journal of Medical Internet Research
- The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review (2022)
- BMC Medical Informatics and Decision Making
- An Approach to the Frugal Use of Human Annotators to Scale up Auto-coding for Text Classification Tasks (2021)
- Proceedings of the Australasian Language Technology Workshop
- ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring (2021)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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