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A step towards Improving Knowledge Tracing.

, , , , , и . ICALT, стр. 38-39. IEEE, (2021)

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Rebecka Rachmann

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Ewelina Rebecka Fogelström

 

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Deep Medical Entity Recognition for Swedish and Spanish., , , и . BIBM, стр. 1595-1601. IEEE Computer Society, (2018)Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning., , , , , , , и . AIED (2), том 12749 из Lecture Notes in Computer Science, стр. 37-42. Springer, (2021)A step towards Improving Knowledge Tracing., , , , , и . ICALT, стр. 38-39. IEEE, (2021)Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx., , , , и . AMIA, AMIA, (2015)Mining Clinical Text in Cancer Care.. Stockholm University, Sweden, (2020)Linking Entities Across Images and Text., , и . CoNLL, стр. 185-193. ACL, (2015)Mining Events Preceding a Cancer Diagnosis.. eScience, стр. 295-296. IEEE Computer Society, (2018)Catching Group Criteria Semantic Information When Forming Collaborative Learning Groups., , , , , и . EC-TEL, том 12884 из Lecture Notes in Computer Science, стр. 16-27. Springer, (2021)Creating a rule based system for text mining of Norwegian breast cancer pathology reports., и . Louhi@EMNLP, стр. 73-78. Association for Computational Linguistics, (2015)HEALTH BANK - A Workbench for Data Science Applications in Healthcare., , , , и . CAiSE Industry Track, том 1381 из CEUR Workshop Proceedings, стр. 1-18. CEUR-WS.org, (2015)