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2020 – today
- 2024
[j5]Rebecka Weegar
, Peter Idestam-Almquist:
Reducing Workload in Short Answer Grading Using Machine Learning. Int. J. Artif. Intell. Educ. 34(2): 247-273 (2024)- 2021
- [j4]Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar:
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. Frontiers Artif. Intell. 4 (2021) - [c16]Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar:
Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. AIED (2) 2021: 37-42 - [c15]Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal, Aayesha Zia:
A Word Embeddings Based Clustering Approach for Collaborative Learning Group Formation. AIED (2) 2021: 395-400 - [c14]Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li, Rebecka Weegar:
An Ensemble Approach for Question-Level Knowledge Tracing. AIED (2) 2021: 433-437 - [c13]Yongchao Wu, Jalal Nouri, Xiu Li, Rebecka Weegar, Muhammad Afzaal, Aayesha Zia:
Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups. EC-TEL 2021: 16-27 - [c12]Aayesha Zia, Jalal Nouri, Muhammad Afzaal, Yongchao Wu, Xiu Li, Rebecka Weegar:
A step towards Improving Knowledge Tracing. ICALT 2021: 38-39 - [c11]Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar:
Automatic and Intelligent Recommendations to Support Students' Self-Regulation. ICALT 2021: 336-338 - 2020
- [b1]Rebecka Weegar:
Mining Clinical Text in Cancer Care. Stockholm University, Sweden, 2020
2010 – 2019
- 2019
- [j3]Rebecka Weegar, Alicia Pérez, Arantza Casillas, Maite Oronoz:
Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches. BMC Medical Informatics Decis. Mak. 19-S(7): 274 (2019) - 2018
- [j2]Rebecka Weegar, Alicia Pérez, Hercules Dalianis, Koldo Gojenola, Arantza Casillas, Maite Oronoz:
Ensembles for clinical entity extraction. Proces. del Leng. Natural 60: 13-20 (2018) - [c10]Rebecka Weegar, Alicia Pérez, Arantza Casillas, Maite Oronoz:
Deep Medical Entity Recognition for Swedish and Spanish. BIBM 2018: 1595-1601 - [c9]Rebecka Weegar:
Mining Events Preceding a Cancer Diagnosis. eScience 2018: 295-296 - 2017
- [j1]Alicia Pérez, Rebecka Weegar, Arantza Casillas, Koldo Gojenola, Maite Oronoz, Hercules Dalianis:
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora. J. Biomed. Informatics 71: 16-30 (2017) - [c8]Rebecka Weegar, Jan F. Nygård, Hercules Dalianis:
Efficient Encoding of Pathology Reports Using Natural Language Processing. RANLP 2017: 778-783 - 2016
- [c7]Rebecka Weegar, Arantza Casillas, Arantza Díaz de Ilarraza, Maite Oronoz, Alicia Pérez, Koldo Gojenola:
The impact of simple feature engineering in multilingual medical NER. ClinicalNLP@COLING 2016 2016: 1-6 - [c6]Sumithra Velupillai, Rebecka Weegar, Maria Kvist:
Temporal Annotation of Swedish Intensive Care Notes. AMIA 2016 - 2015
- [c5]Rebecka Weegar, Hercules Dalianis:
Creating a rule based system for text mining of Norwegian breast cancer pathology reports. Louhi@EMNLP 2015: 73-78 - [c4]Rebecka Weegar, Maria Kvist, Karin Sundström, Søren Brunak, Hercules Dalianis:
Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx. AMIA 2015 - [c3]Hercules Dalianis, Aron Henriksson, Maria Kvist, Sumithra Velupillai, Rebecka Weegar:
HEALTH BANK - A Workbench for Data Science Applications in Healthcare. CAiSE Industry Track 2015: 1-18 - [c2]Rebecka Weegar, Kalle Åström, Pierre Nugues:
Linking Entities Across Images and Text. CoNLL 2015: 185-193 - 2014
- [c1]Agnes Tegen, Rebecka Weegar, Linus Hammarlund, Magnus Oskarsson, Fangyuan Jiang, Dennis Medved, Pierre Nugues, Kalle Åström:
Image Segmentation and Labeling Using Free-Form Semantic Annotation. ICPR 2014: 2281-2286
Coauthor Index
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