Aron Henriksson

Orcid: 0000-0001-9731-1048

According to our database1, Aron Henriksson authored at least 48 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation.
Future Internet, 2024

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification.
CoRR, 2024

2023
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes.
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
Holistic data-driven requirements elicitation in the big data era.
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

Automatic Educational Concept Extraction Using NLP.
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

Evaluating Pretraining Strategies for Clinical BERT Models.
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

Leveraging Clinical BERT in Multimodal Mortality Prediction Models for COVID-19.
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
Data-Driven Requirements Elicitation: A Systematic Literature Review.
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

De-identification of Clinical Text for Secondary Use: Research Issues.
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
Detecting Protected Health Information in Heterogeneous Clinical Notes.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016
Learning temporal weights of clinical events using variable importance.
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

Louhi 2014: Special issue on health text mining and information analysis.
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

Cascading adverse drug event detection in electronic health records.
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

HEALTH BANK - A Workbench for Data Science Applications in Healthcare.
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

Handling Temporality of Clinical Events for Drug Safety Surveillance.
Proceedings of the AMIA 2015, 2015

Representing Clinical Notes for Adverse Drug Event Detection.
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
Synonym extraction and abbreviation expansion with ensembles of semantic spaces.
J. Biomed. Semant., 2014

Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes.
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

EACL - Expansion of Abbreviations in CLinical text.
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
Levels of certainty in knowledge-intensive corpora: an initial annotation study.
Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, 2010


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