Hans Moen
Hans Moen
Research Fellow at the Department of Computer Science, Aalto University, Finland
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Distributional Semantics Resources for Biomedical Text Processing, 2013
S Pyysalo, F Ginter, H Moen, T Salakoski, S Ananiadou
Library Catalog: www. semanticscholar. org, 0
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
Cross-lingual random indexing for information retrieval
H Moen, E Marsi
Statistical Language and Speech Processing: First International Conference …, 2013
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
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
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
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