Levels of certainty in knowledge-intensive corpora: an initial annotation study. - Aron Henriksson; Sumithra Velupillai (NeSp-NLP@ACL, 2010)

Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study. - Aron Henriksson; Martin Hassel; Maria Kvist (AIME, 2011)

Something Old, Something New - Applying a Pre-trained Parsing Model to Clinical Swedish. - Martin Duneld; Aron Henriksson; Sumithra Velupillai (NODALIDA, 2011)

Identifying Synonymy between SNOMED Clinical Terms of Varying Length Using Distributional Analysis of Electronic Health Records. - Aron Henriksson; Mike Conway; Martin Duneld; Wendy Webber Chapman (AMIA, 2013)

Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. - Aron Henriksson; Maria Skeppstedt; Maria Kvist; Martin Duneld; Mike Conway (BioNLP@ACL, 2013)

EACL - Expansion of Abbreviations in CLinical text. - Lisa Tengstrand; Beáta Megyesi; Aron Henriksson; Martin Duneld; Maria Kvist (PITR@EACL, 2014)

Generating features for named entity recognition by learning prototypes in semantic space: The case of de-identifying health records. - Aron Henriksson; Hercules Dalianis; Stewart Kowalski (BIBM, 2014)

Detecting adverse drug events with multiple representations of clinical measurements. - Jing Zhao 017; Aron Henriksson; Lars Asker; Henrik Boström (BIBM, 2014)

Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes. - Jing Zhao 017; Aron Henriksson; Henrik Boström (ICHI, 2014)

Synonym extraction and abbreviation expansion with ensembles of semantic spaces. - Aron Henriksson; Hans Moen; Maria Skeppstedt; Vidas Daudaravicius; Martin Duneld (J. Biomed. Semant., 2014)

Expanding a dictionary of marker words for uncertainty and negation using distributional semantics. - Alyaa Alfalahi; Maria Skeppstedt; Rickard Ahlbom; Roza Baskalayci; Aron Henriksson; Lars Asker; Carita Paradis; Andreas Kerren (Louhi@EMNLP, 2015)

Representing Clinical Notes for Adverse Drug Event Detection. - Aron Henriksson (Louhi@EMNLP, 2015)

Handling Temporality of Clinical Events for Drug Safety Surveillance. - Jing Zhao 017; Aron Henriksson; Maria Kvist; Lars Asker; Henrik Boström (AMIA, 2015)

Modeling electronic health records in ensembles of semantic spaces for adverse drug event detection. - Aron Henriksson; Jing Zhao 017; Henrik Boström; Hercules Dalianis (BIBM, 2015)

HEALTH BANK - A Workbench for Data Science Applications in Healthcare. - Hercules Dalianis; Aron Henriksson; Maria Kvist; Sumithra Velupillai; Rebecka Weegar (CAiSE Industry Track, 2015)

Modeling heterogeneous clinical sequence data in semantic space for adverse drug event detection. - Aron Henriksson; Jing Zhao 017; Henrik Boström; Hercules Dalianis (DSAA, 2015)

Cascading adverse drug event detection in electronic health records. - Jing Zhao 017; Aron Henriksson; Henrik Boström (DSAA, 2015)

Learning multiple distributed prototypes of semantic categories for named entity recognition. - Aron Henriksson (Int. J. Data Min. Bioinform., 2015)

Identifying adverse drug event information in clinical notes with distributional semantic representations of context. - Aron Henriksson; Maria Kvist; Hercules Dalianis; Martin Duneld (J. Biomed. Informatics, 2015)

Louhi 2014: Special issue on health text mining and information analysis. - Sumithra Velupillai; Martin Duneld; Aron Henriksson; Maria Kvist; Maria Skeppstedt; Hercules Dalianis (BMC Medical Informatics Decis. Mak., 2015)

Ensembles of Semantic Spaces: On Combining Models of Distributional Semantics with Applications in Healthcare. - Aron Henriksson (2015)

Predictive modeling of structured electronic health records for adverse drug event detection. - Jing Zhao 017; Aron Henriksson; Lars Asker; Henrik Boström (BMC Medical Informatics Decis. Mak., 2015)

Expansion of medical vocabularies using distributional semantics on Japanese patient blogs. - Magnus Ahltorp; Maria Skeppstedt; Shiho Kitajima; Aron Henriksson; Rafal Rzepka; Kenji Araki (J. Biomed. Semant., 2016)

Ensembles of randomized trees using diverse distributed representations of clinical events. - Aron Henriksson; Jing Zhao 017; Hercules Dalianis; Henrik Boström (BMC Medical Informatics Decis. Mak., 2016)

Learning temporal weights of clinical events using variable importance. - Jing Zhao 017; Aron Henriksson (BMC Medical Informatics Decis. Mak., 2016)

Detecting Protected Health Information in Heterogeneous Clinical Notes. - Aron Henriksson; Maria Kvist; Hercules Dalianis (MedInfo, 2017)

The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text. - Hanna Berg; Aron Henriksson; Hercules Dalianis (LOUHI@EMNLP, 2020)

Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. - Mahbub Ul Alam 001; Aron Henriksson; John Karlsson Valik; Logan Morgan Ward; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2020)

A Data-Driven Framework for Automated Requirements Elicitation from Heterogeneous Digital Sources. - Aron Henriksson; Jelena Zdravkovic (PoEM, 2020)

Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. - Mahbub Ul Alam 001; Aron Henriksson; Hideyuki Tanushi; Emil Thiman; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2021)

De-identification of Clinical Text for Secondary Use: Research Issues. - Hanna Berg; Aron Henriksson; Uno Fors; Hercules Dalianis (HEALTHINF, 2021)

Developing a Clinical Language Model for Swedish: Continued Pretraining of Generic BERT with In-Domain Data. - Anastasios Lamproudis; Aron Henriksson; Hercules Dalianis (RANLP, 2021)

Data-Driven Agile Requirements Elicitation through the Lenses of Situational Method Engineering. - Xavier Franch; Aron Henriksson; Jolita Ralyté; Jelena Zdravkovic (RE, 2021)

Data-Driven Requirements Elicitation: A Systematic Literature Review. - Sachiko Lim; Aron Henriksson; Jelena Zdravkovic (SN Comput. Sci., 2021)

On the Impact of the Vocabulary for Domain-Adaptive Pretraining of Clinical Language Models. - Anastasios Lamproudis; Aron Henriksson (BIOSTEC (Selected Papers), 2022)

Vocabulary Modifications for Domain-adaptive Pretraining of Clinical Language Models. - Anastasios Lamproudis; Aron Henriksson; Hercules Dalianis (HEALTHINF, 2022)

Leveraging Clinical BERT in Multimodal Mortality Prediction Models for COVID-19. - Yash Pawar; Aron Henriksson; Pontus Hedberg; Pontus Nauclér (CBMS, 2022)

Improving the Timeliness of Early Prediction Models for Sepsis through Utility Optimization. - Anastasios Lamproudis; Aron Henriksson; John Karlsson Valik; Pontus Nauclér (ICTAI, 2022)

Evaluating Pretraining Strategies for Clinical BERT Models. - Anastasios Lamproudis; Aron Henriksson; Hercules Dalianis (LREC, 2022)

Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data. - Thomas Vakili; Anastasios Lamproudis; Aron Henriksson; Hercules Dalianis (LREC, 2022)

Automatic Educational Concept Extraction Using NLP. - Xiu Li 002; Jalal Nouri; Aron Henriksson; Martin Duneld; Yongchao Wu (MIS4TEL, 2022)

Retrieving Key Topical Sentences with Topic-Aware BERT When Conducting Automated Essay Scoring. - Yongchao Wu; Aron Henriksson; Jalal Nouri; Martin Duneld; Xiu Li 002 (MIS4TEL, 2022)

Holistic data-driven requirements elicitation in the big data era. - Aron Henriksson; Jelena Zdravkovic (Softw. Syst. Model., 2022)

Towards Improving the Reliability and Transparency of ChatGPT for Educational Question Answering. - Yongchao Wu; Aron Henriksson; Martin Duneld; Jalal Nouri (EC-TEL, 2023)

Linking Swedish Learning Materials to Exercises through an AI-Enhanced Recommender System. - Xiu Li 002; Aron Henriksson; Jalal Nouri; Martin Duneld; Yongchao Wu (MIS4TEL, 2023)

Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes. - Aron Henriksson; Yash Pawar; Pontus Hedberg; Pontus Nauclér (Artif. Intell. Medicine, 2023)

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren (ACL (Findings), 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. - Xiu Li 002; Aron Henriksson; Martin Duneld; Jalal Nouri; Yongchao Wu (AIED (1), 2024)

Evaluating the Reliability of Self-explanations in Large Language Models. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren (DS (1), 2024)

Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models. - Yongchao Wu; Aron Henriksson (ECML/PKDD (3), 2024)

Text Retrieval in Restricted Domains by Pairwise Term Co-occurrence. - Eriks Sneiders; Aron Henriksson (Complex Syst. Informatics Model. Q., 2024)

Evaluating Embeddings from Pre-Trained Language Models and Knowledge Graphs for Educational Content Recommendation. - Xiu Li 002; Aron Henriksson; Martin Duneld; Jalal Nouri; Yongchao Wu (Future Internet, 2024)

Data-Constrained Synthesis of Training Data for De-Identification. - Thomas Vakili; Aron Henriksson; Hercules Dalianis (ACL (1), 2025)

Detecting Suicidal Ideation on Social Media Using Large Language Models with Zero-Shot Prompting. - Golnaz Nikmehr; Aritz Bilbao-Jayo; Aron Henriksson; Aitor Almeida (ICT4AWE, 2025)

SemEval-2025 Task 9: The Food Hazard Detection Challenge. - Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren; Juli Bakagianni (CoRR, 2025)