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Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning.

, , , , , , , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 37-42. Springer, (2021)

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Deep Medical Entity Recognition for Swedish and Spanish., , , and . BIBM, page 1595-1601. IEEE Computer Society, (2018)Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning., , , , , , , and . AIED (2), volume 12749 of Lecture Notes in Computer Science, page 37-42. Springer, (2021)A step towards Improving Knowledge Tracing., , , , , and . ICALT, page 38-39. IEEE, (2021)Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx., , , , and . AMIA, AMIA, (2015)Mining Clinical Text in Cancer Care.. Stockholm University, Sweden, (2020)Linking Entities Across Images and Text., , and . CoNLL, page 185-193. ACL, (2015)Mining Events Preceding a Cancer Diagnosis.. eScience, page 295-296. IEEE Computer Society, (2018)Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation., , , , , , , and . Frontiers Artif. Intell., (2021)Creating a rule based system for text mining of Norwegian breast cancer pathology reports., and . Louhi@EMNLP, page 73-78. Association for Computational Linguistics, (2015)Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups., , , , , and . EC-TEL, volume 12884 of Lecture Notes in Computer Science, page 16-27. Springer, (2021)