Aron Henriksson
Orcid: 0000-0001-9731-1048
According to our database1,
Aron Henriksson
authored at least 51 papers
between 2010 and 2024.
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Bibliography
2024
Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation.
Future Internet, 2024
Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the Discovery Science - 27th International Conference, 2024
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.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Artif. Intell. Medicine, December, 2023
Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2023
Towards Improving the Reliability and Transparency of ChatGPT for Educational Question Answering.
Proceedings of the Responsive and Sustainable Educational Futures, 2023
2022
Softw. Syst. Model., 2022
Retrieving Key Topical Sentences with Topic-Aware BERT When Conducting Automated Essay Scoring.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2022
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
On the Impact of the Vocabulary for Domain-Adaptive Pretraining of Clinical Language Models.
Proceedings of the Biomedical Engineering Systems and Technologies, 2022
2021
SN Comput. Sci., 2021
Data-Driven Agile Requirements Elicitation through the Lenses of Situational Method Engineering.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021
Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
2020
A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources.
Proceedings of the Practice of Enterprise Modeling, 2020
Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text.
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020
2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
2016
BMC Medical Informatics Decis. Mak., 2016
Ensembles of randomized trees using diverse distributed representations of clinical events.
BMC Medical Informatics Decis. Mak., 2016
Expansion of medical vocabularies using distributional semantics on Japanese patient blogs.
J. Biomed. Semant., 2016
2015
Predictive modeling of structured electronic health records for adverse drug event detection.
BMC Medical Informatics Decis. Mak., December, 2015
Ensembles of Semantic Spaces: On Combining Models of Distributional Semantics with Applications in Healthcare.
PhD thesis, 2015
BMC Medical Informatics Decis. Mak., 2015
Identifying adverse drug event information in clinical notes with distributional semantic representations of context.
J. Biomed. Informatics, 2015
Learning multiple distributed prototypes of semantic categories for named entity recognition.
Int. J. Data Min. Bioinform., 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the CAiSE-2015 Industry Track co-located with 27th Conference on Advanced Information Systems Engineering (CAiSE 2015), 2015
Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the AMIA 2015, 2015
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015
Expanding a dictionary of marker words for uncertainty and negation using distributional semantics.
Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015
2014
J. Biomed. Semant., 2014
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
Detecting adverse drug events with multiple representations of clinical measurements.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Generating features for named entity recognition by learning prototypes in semantic space: The case of de-identifying health records.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations, 2014
2013
Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records.
Proceedings of the 2013 Workshop on Biomedical Natural Language Processing, 2013
Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records.
Proceedings of the AMIA 2013, 2013
2011
Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish.
Proceedings of the 18th Nordic Conference of Computational Linguistics, 2011
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study.
Proceedings of the Artificial Intelligence in Medicine, 2011
2010
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010