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Hans Moen
Hans Moen
Research Fellow at the Department of Computer Science, Aalto University, Finland
Verified email at aalto.fi
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Year
Distributional Semantics Resources for Biomedical Text Processing
S Pyysalo, F Ginter, H Moen, T Salakoski, S Ananiadou
5th International Symposium on Languages in Biology and Medicine (LBM 2013), 5, 2013
554*2013
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
2532019
Synonym extraction and abbreviation expansion with ensembles of semantic spaces
A Henriksson, H Moen, M Skeppstedt, V Daudaravičius, M Duneld
Journal of biomedical semantics 5 (1), 1-25, 2014
1202014
Comparison of automatic summarisation methods for clinical free text notes
H Moen, LM Peltonen, J Heimonen, A Airola, T Pahikkala, T Salakoski, ...
Artificial intelligence in medicine 67, 25-37, 2016
682016
Changing role of EMS–analyses of non-conveyed and conveyed patients in Finland
J Paulin, J Kurola, S Salanterä, H Moen, N Guragain, M Koivisto, ...
Scandinavian journal of trauma, resuscitation and emergency medicine 28 (1 …, 2020
352020
Care episode retrieval: distributional semantic models for information retrieval in the clinical domain
H Moen, F Ginter, E Marsi, LM Peltonen, T Salakoski, S Salanterä
BMC medical informatics and decision making 15 (2), 1-19, 2015
322015
Synonym extraction of medical terms from clinical text using combinations of word space models
A Henriksson, H Moen, M Skeppstedt, AM Eklund, V Daudaravicius, ...
Proceedings of Semantic Mining in Biomedicine (SMBM), 10-17, 2012
312012
Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence
H von Gerich, H Moen, LJ Block, CH Chu, H DeForest, M Hobensack, ...
International journal of nursing studies 127, 104153, 2022
232022
On Evaluation of Automatically Generated Clinical Discharge Summaries
H Moen, J Heimonen, LM Murtola, A Airola, T Pahikkala, V Terävä, ...
2nd European Workshop on Practical Aspects of Health Informatics (PAHI 2014), 2014
162014
NTNU-CORE: Combining strong features for semantic similarity
E Marsi, H Moen, L Bungum, G Sizov, B Gambäck, A Lynum
Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013
152013
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods
H Moen, K Hakala, LM Peltonen, H Suhonen, F Ginter, T Salakoski, ...
Journal of the American Medical Informatics Association 27 (1), 81-88, 2020
132020
Neural network and random forest models in protein function prediction
K Hakala, S Kaewphan, J Björne, F Mehryary, H Moen, M Tolvanen, ...
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2020
102020
Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings
H Moen, K Hakala, LM Peltonen, HM Matinolli, H Suhonen, K Terho, ...
Journal of Biomedical Semantics 11 (1), 1-12, 2020
102020
Care episode retrieval
H Moen, E Marsi, F Ginter, LM Murtola, T Salakoski, S Salanterä
Proceedings of the 5th International Workshop on Health Text Mining and …, 2014
102014
Distributional Semantics Resources for Biomedical Text Processing, 2013
S Pyysalo, F Ginter, H Moen, T Salakoski, S Ananiadou
Library Catalog: www. semanticscholar. org, 0
10
Towards dynamic word sense discrimination with random indexing
H Moen, E Marsi, B Gambäck
Proceedings of the Workshop on Continuous Vector Space Models and their …, 2013
92013
Cross-lingual random indexing for information retrieval
H Moen, E Marsi
Statistical Language and Speech Processing: First International Conference …, 2013
92013
Distributed representations to detect higher order term correlations in textual content
P Öztürk, RR Prasath, H Moen
Rough Sets and Current Trends in Computing: 7th International Conference …, 2010
62010
Towards automated detection of psychosocial risk factors with text mining
L Uronen, H Moen, S Teperi, KP Martimo, J Hartiala, S Salanterä
Occupational Medicine 70 (3), 203-206, 2020
52020
An Unsupervised Query Rewriting Approach Using N-gram Co-occurrence Statistics to Find Similar Phrases in Large Text Corpora
H Moen, LM Peltonen, H Suhonen, HM Matinolli, R Mieronkoski, K Telen, ...
Proceedings of the 22nd Nordic Conference on Computational Linguistics, 131-139, 2019
52019
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