Hanna Suominen - UTU Tutkimustietojärjestelmä - UTU Tutkimustietojärjestelmä

Hanna Suominen

- dosentti,
tietotekniikan laitos (teknillinen tiedekunta)

hajasu@utu.fi

Julkaisut

5/9

Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease (2022)
- Frontiers in Medicine
Chuah Aaron, Walters Giles, Christiadi Daniel, Karpe Krishna, Kennard Alice, Singer Richard, Talaulikar Girish, Ge Wenbo, Suominen Hanna, Andrews T Daniel, Jiang Simon
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
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
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Non-linear Continuous Action Spaces for Reinforcement Learning in Type 1 Diabetes (2022)
- Lecture Notes in Computer Science
AI 2022: Advances in Artificial Intelligence: 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5–8, 2022, Proceedings Hettiarachchi Chirath, Malagutti Nicolo, Nolan Christopher J., Suominen Hanna, Daskalaki Elena
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
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
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Scoping natural language processing in Indonesian and Malay for education applications (2022)
- Annual Meeting of the Association for Computational Linguistics
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop Maxwell-Smith Zara, Kohler Michelle, Suominen Hanna
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis (2022)
- BMJ Open
Brew-Sam Nicola, Parkinson Anne, Lueck Christian, Brown Ellen, Brown Karen, Bruestle Anne, Chisholm Katrina, Collins Simone, Cook Matthew, Daskalaki Eleni, Drew Janet, Ebbeck Harry, Elisha Mark, Fanning Vanessa, Henschke Adam, Herron Jessica, Matthews Emma, Murugappan Krishnan, Neshev Dragomir, Nolan Christopher J., Pedley Lachlan, Phillips Christine, Suominen Hanna, Tricoli Antonia, Wright Kristine, Desborough Jane
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
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
Daskalaki Elena, Parkinson Anne, Brew-Sam Nicola, Hossain Md Zakir, O'Neal David, Nolan Christopher J, Suominen Hanna
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)
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
Hossain Md Zakir, Daskalaki Elena, Brustle Anne, Desborough Jane, Lueck Christian J, Suominen Hanna
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)
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
Proceedings of the 19th Workshop of the Australasian Language Technology Association Chen Li'An, Suominen Hanna
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring (2021)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Li Dongxu, Xu Chenchen, Zhang Kaihao, Yu Xin, Zhong Yiran, Ren Wenqi, Suominen Hanna, Li Hongdong
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)