Rebecka Weegar

According to our database, Rebecka Weegar authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reducing Workload in Short Answer Grading Using Machine Learning.

Rebecka Weegar, Peter Idestam-Almquist

Int. J. Artif. Intell. Educ., June, 2024

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, Rebecka Weegar

Frontiers Artif. Intell., 2021

A step towards Improving Knowledge Tracing.

Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li, Rebecka Weegar

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Automatic and Intelligent Recommendations to Support Students' Self-Regulation.

Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups.

Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal, Aayesha Zia

Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

An Ensemble Approach for Question-Level Knowledge Tracing.

Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li, Rebecka Weegar

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation.

Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal, Aayesha Zia

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

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, Rebecka Weegar

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020

Mining Clinical Text in Cancer Care.

Rebecka Weegar

PhD thesis, 2020

2019

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

2018

Ensembles for clinical entity extraction.

Rebecka Weegar, Alicia Pérez, Hercules Dalianis, Koldo Gojenola, Arantza Casillas, Maite Oronoz

Proces. del Leng. Natural, 2018

Mining Events Preceding a Cancer Diagnosis.

Rebecka Weegar

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Deep Medical Entity Recognition for Swedish and Spanish.

Rebecka Weegar, Alicia Pérez, Arantza Casillas, Maite Oronoz

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

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

Efficient Encoding of Pathology Reports Using Natural Language Processing.

Rebecka Weegar, Jan F. Nygård, Hercules Dalianis

Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

2016

Temporal Annotation of Swedish Intensive Care Notes.

Sumithra Velupillai, Rebecka Weegar, Maria Kvist

Proceedings of the AMIA 2016, 2016

The impact of simple feature engineering in multilingual medical NER.

Rebecka Weegar, Arantza Casillas, Arantza Díaz de Ilarraza, Maite Oronoz, Alicia Pérez, Koldo Gojenola

Proceedings of the Clinical Natural Language Processing Workshop, 2016

2015

Linking Entities Across Images and Text.

Rebecka Weegar, Kalle Åström, Pierre Nugues

Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

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

Hercules Dalianis, Aron Henriksson, Maria Kvist, Sumithra Velupillai, Rebecka Weegar

Proceedings of the CAiSE-2015 Industry Track co-located with 27th Conference on Advanced Information Systems Engineering (CAiSE 2015), 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

Proceedings of the AMIA 2015, 2015

Creating a rule based system for text mining of Norwegian breast cancer pathology reports.

Rebecka Weegar, Hercules Dalianis

Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, 2015

2014

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

Proceedings of the 22nd International Conference on Pattern Recognition, 2014