Image Segmentation and Labeling Using Free-Form Semantic Annotation. - Agnes Tegen; Rebecka Weegar; Linus Hammarlund; Magnus Oskarsson; Fangyuan Jiang; Dennis Medved; Pierre Nugues; Kalle Åström (ICPR, 2014)

Creating a rule based system for text mining of Norwegian breast cancer pathology reports. - Rebecka Weegar; Hercules Dalianis (Louhi@EMNLP, 2015)

Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx. - Rebecka Weegar; Maria Kvist; Karin Sundström; Søren Brunak; Hercules Dalianis (AMIA, 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)

Linking Entities Across Images and Text. - Rebecka Weegar; Kalle Åström; Pierre Nugues (CoNLL, 2015)

The impact of simple feature engineering in multilingual medical NER. - Rebecka Weegar; Arantza Casillas; Arantza Díaz de Ilarraza; Maite Oronoz; Alicia Pérez; Koldo Gojenola (ClinicalNLP@COLING 2016, 2016)

Temporal Annotation of Swedish Intensive Care Notes. - Sumithra Velupillai; Rebecka Weegar; Maria Kvist (AMIA, 2016)

Efficient Encoding of Pathology Reports Using Natural Language Processing. - Rebecka Weegar; Jan F. Nygård; Hercules Dalianis (RANLP, 2017)

Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora. - Alicia Pérez; Rebecka Weegar; Arantza Casillas; Koldo Gojenola; Maite Oronoz; Hercules Dalianis (J. Biomed. Informatics, 2017)

Deep Medical Entity Recognition for Swedish and Spanish. - Rebecka Weegar; Alicia Pérez; Arantza Casillas; Maite Oronoz (BIBM, 2018)

Mining Events Preceding a Cancer Diagnosis. - Rebecka Weegar (eScience, 2018)

Ensembles for clinical entity extraction. - Rebecka Weegar; Alicia Pérez; Hercules Dalianis; Koldo Gojenola; Arantza Casillas; Maite Oronoz (Proces. del Leng. Natural, 2018)

Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches. - Rebecka Weegar; Alicia Pérez; Arantza Casillas; Maite Oronoz (BMC Medical Informatics Decis. Mak., 2019)

Mining Clinical Text in Cancer Care. - Rebecka Weegar (2020)

Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. - Muhammad Afzaal; Jalal Nouri; Aayesha Zia; Panagiotis Papapetrou; Uno Fors; Yongchao Wu; Xiu Li 002; Rebecka Weegar (AIED (2), 2021)

A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation. - Yongchao Wu; Jalal Nouri; Xiu Li 002; Rebecka Weegar; Muhammad Afzaal; Aayesha Zia (AIED (2), 2021)

An Ensemble Approach for Question-Level Knowledge Tracing. - Aayesha Zia; Jalal Nouri; Muhammad Afzaal; Yongchao Wu; Xiu Li 002; Rebecka Weegar (AIED (2), 2021)

Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups. - Yongchao Wu; Jalal Nouri; Xiu Li 002; Rebecka Weegar; Muhammad Afzaal; Aayesha Zia (EC-TEL, 2021)

Automatic and Intelligent Recommendations to Support Students' Self-Regulation. - Muhammad Afzaal; Jalal Nouri; Aayesha Zia; Panagiotis Papapetrou; Uno Fors; Yongchao Wu; Xiu Li 002; Rebecka Weegar (ICALT, 2021)

A step towards Improving Knowledge Tracing. - Aayesha Zia; Jalal Nouri; Muhammad Afzaal; Yongchao Wu; Xiu Li 002; Rebecka Weegar (ICALT, 2021)

Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. - Muhammad Afzaal; Jalal Nouri; Aayesha Zia; Panagiotis Papapetrou; Uno Fors; Yongchao Wu; Xiu Li 002; Rebecka Weegar (Frontiers Artif. Intell., 2021)

Reducing Workload in Short Answer Grading Using Machine Learning. - Rebecka Weegar; Peter Idestam-Almquist (Int. J. Artif. Intell. Educ., 2024)