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Aron Henriksson
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2020 – today
- 2024
- [j12]Xiu Li
, Aron Henriksson, Martin Duneld, Jalal Nouri, Yongchao Wu
:
Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation. Future Internet 16(1): 12 (2024) - [c35]Xiu Li
, Aron Henriksson, Martin Duneld, Jalal Nouri, Yongchao Wu:
Supporting Teaching-to-the-Curriculum by Linking Diagnostic Tests to Curriculum Goals: Using Textbook Content as Context for Retrieval-Augmented Generation with Large Language Models. AIED (1) 2024: 118-132 - [i1]Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren:
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. CoRR abs/2403.11904 (2024) - 2023
- [j11]Aron Henriksson
, Yash Pawar, Pontus Hedberg
, Pontus Nauclér:
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes. Artif. Intell. Medicine 146: 102695 (2023) - [c34]Yongchao Wu
, Aron Henriksson, Martin Duneld, Jalal Nouri:
Towards Improving the Reliability and Transparency of ChatGPT for Educational Question Answering. EC-TEL 2023: 475-488 - [c33]Xiu Li
, Aron Henriksson, Jalal Nouri, Martin Duneld, Yongchao Wu:
Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System. MIS4TEL 2023: 96-107 - 2022
- [j10]Aron Henriksson, Jelena Zdravkovic
:
Holistic data-driven requirements elicitation in the big data era. Softw. Syst. Model. 21(4): 1389-1410 (2022) - [c32]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models. HEALTHINF 2022: 180-188 - [c31]Anastasios Lamproudis, Aron Henriksson:
On the Impact of the Vocabulary for Domain-Adaptive Pretraining of Clinical Language Models. BIOSTEC (Selected Papers) 2022: 315-332 - [c30]Yash Pawar, Aron Henriksson, Pontus Hedberg
, Pontus Nauclér:
Leveraging Clinical BERT in Multimodal Mortality Prediction Models for COVID-19. CBMS 2022: 199-204 - [c29]Anastasios Lamproudis, Aron Henriksson, John Karlsson Valik, Pontus Nauclér:
Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization. ICTAI 2022: 1062-1069 - [c28]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Evaluating Pretraining Strategies for Clinical BERT Models. LREC 2022: 410-416 - [c27]Thomas Vakili
, Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data. LREC 2022: 4245-4252 - [c26]Yongchao Wu
, Aron Henriksson, Jalal Nouri, Martin Duneld, Xiu Li:
Retrieving Key Topical Sentences with Topic-Aware BERT When Conducting Automated Essay Scoring. MIS4TEL 2022: 123-132 - [c25]Xiu Li
, Jalal Nouri, Aron Henriksson, Martin Duneld, Yongchao Wu:
Automatic Educational Concept Extraction Using NLP. MIS4TEL 2022: 133-138 - 2021
- [j9]Sachiko Lim, Aron Henriksson, Jelena Zdravkovic
:
Data-Driven Requirements Elicitation: A Systematic Literature Review. SN Comput. Sci. 2(1): 16 (2021) - [c24]Mahbub Ul Alam, Aron Henriksson, Hideyuki Tanushi, Emil Thiman, Pontus Nauclér, Hercules Dalianis:
Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. HEALTHINF 2021: 47-57 - [c23]Hanna Berg, Aron Henriksson, Uno Fors, Hercules Dalianis:
De-identification of Clinical Text for Secondary Use: Research Issues. HEALTHINF 2021: 592-599 - [c22]Anastasios Lamproudis, Aron Henriksson, Hercules Dalianis:
Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data. RANLP 2021: 790-797 - [c21]Xavier Franch, Aron Henriksson, Jolita Ralyté, Jelena Zdravkovic
:
Data-Driven Agile Requirements Elicitation through the Lenses of Situational Method Engineering. RE 2021: 402-407 - 2020
- [c20]Hanna Berg, Aron Henriksson, Hercules Dalianis:
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text. LOUHI@EMNLP 2020: 1-11 - [c19]Mahbub Ul Alam, Aron Henriksson, John Karlsson Valik, Logan Morgan Ward, Pontus Nauclér, Hercules Dalianis:
Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. HEALTHINF 2020: 45-55 - [c18]Aron Henriksson, Jelena Zdravkovic
:
A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources. PoEM 2020: 351-365
2010 – 2019
- 2017
- [c17]Aron Henriksson, Maria Kvist, Hercules Dalianis:
Detecting Protected Health Information in Heterogeneous Clinical Notes. MedInfo 2017: 393-397 - 2016
- [j8]Magnus Ahltorp
, Maria Skeppstedt, Shiho Kitajima, Aron Henriksson, Rafal Rzepka
, Kenji Araki:
Expansion of medical vocabularies using distributional semantics on Japanese patient blogs. J. Biomed. Semant. 7: 58 (2016) - [j7]Aron Henriksson, Jing Zhao, Hercules Dalianis, Henrik Boström:
Ensembles of randomized trees using diverse distributed representations of clinical events. BMC Medical Informatics Decis. Mak. 16(S-2): 69 (2016) - [j6]Jing Zhao, Aron Henriksson:
Learning temporal weights of clinical events using variable importance. BMC Medical Informatics Decis. Mak. 16(S-2): 71 (2016) - 2015
- [b1]Aron Henriksson:
Ensembles of Semantic Spaces: On Combining Models of Distributional Semantics with Applications in Healthcare. Stockholm University, Sweden, 2015 - [j5]Aron Henriksson:
Learning multiple distributed prototypes of semantic categories for named entity recognition. Int. J. Data Min. Bioinform. 13(4): 395-411 (2015) - [j4]Aron Henriksson, Maria Kvist, Hercules Dalianis, Martin Duneld:
Identifying adverse drug event information in clinical notes with distributional semantic representations of context. J. Biomed. Informatics 57: 333-349 (2015) - [j3]Jing Zhao, Aron Henriksson, Lars Asker, Henrik Boström:
Predictive modeling of structured electronic health records for adverse drug event detection. BMC Medical Informatics Decis. Mak. 15-S(4): S1 (2015) - [j2]Sumithra Velupillai
, Martin Duneld, Aron Henriksson, Maria Kvist, Maria Skeppstedt, Hercules Dalianis:
Louhi 2014: Special issue on health text mining and information analysis. BMC Medical Informatics Decis. Mak. 15-S(S-2): S1 (2015) - [c16]Alyaa Alfalahi, Maria Skeppstedt, Rickard Ahlbom, Roza Baskalayci, Aron Henriksson, Lars Asker, Carita Paradis
, Andreas Kerren:
Expanding a dictionary of marker words for uncertainty and negation using distributional semantics. Louhi@EMNLP 2015: 90-96 - [c15]Aron Henriksson:
Representing Clinical Notes for Adverse Drug Event Detection. Louhi@EMNLP 2015: 152-158 - [c14]Jing Zhao, Aron Henriksson, Maria Kvist, Lars Asker, Henrik Boström:
Handling Temporality of Clinical Events for Drug Safety Surveillance. AMIA 2015 - [c13]Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection. BIBM 2015: 343-350 - [c12]Hercules Dalianis, Aron Henriksson, Maria Kvist, Sumithra Velupillai, Rebecka Weegar:
HEALTH BANK - A Workbench for Data Science Applications in Healthcare. CAiSE Industry Track 2015: 1-18 - [c11]Aron Henriksson, Jing Zhao, Henrik Boström, Hercules Dalianis:
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection. DSAA 2015: 1-8 - [c10]Jing Zhao, Aron Henriksson, Henrik Boström:
Cascading adverse drug event detection in electronic health records. DSAA 2015: 1-8 - 2014
- [j1]Aron Henriksson, Hans Moen, Maria Skeppstedt, Vidas Daudaravicius, Martin Duneld:
Synonym extraction and abbreviation expansion with ensembles of semantic spaces. J. Biomed. Semant. 5: 6 (2014) - [c9]Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld, Maria Kvist:
EACL - Expansion of Abbreviations in CLinical text. PITR@EACL 2014: 94-103 - [c8]Aron Henriksson, Hercules Dalianis, Stewart Kowalski:
Generating features for named entity recognition by learning prototypes in semantic space: The case of de-identifying health records. BIBM 2014: 450-457 - [c7]Jing Zhao, Aron Henriksson, Lars Asker, Henrik Boström:
Detecting adverse drug events with multiple representations of clinical measurements. BIBM 2014: 536-543 - [c6]Jing Zhao, Aron Henriksson, Henrik Boström:
Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes. ICHI 2014: 285-293 - [e1]Sumithra Velupillai, Martin Duneld, Maria Kvist, Hercules Dalianis, Maria Skeppstedt, Aron Henriksson:
Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis, Louhi@EACL 2014, Gothenburg, Sweden, April 27, 2014. Association for Computational Linguistics 2014, ISBN 978-1-937284-90-9 [contents] - 2013
- [c5]Aron Henriksson, Mike Conway, Martin Duneld, Wendy Webber Chapman:
Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records. AMIA 2013 - [c4]Aron Henriksson, Maria Skeppstedt, Maria Kvist, Martin Duneld, Mike Conway:
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. BioNLP@ACL 2013: 36-44 - 2011
- [c3]Aron Henriksson, Martin Hassel, Maria Kvist:
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study. AIME 2011: 348-352 - [c2]Martin Duneld, Aron Henriksson, Sumithra Velupillai:
Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish. NODALIDA 2011: 287-290 - 2010
- [c1]Aron Henriksson, Sumithra Velupillai:
Levels of certainty in knowledge-intensive corpora: an initial annotation study. NeSp-NLP@ACL 2010: 41-45
Coauthor Index
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last updated on 2024-08-03 21:17 CEST by the dblp team
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