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A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale.

, и . L@S, стр. 157-160. ACM, (2017)

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Другие публикации лиц с тем же именем

MOOC Dropout Prediction: How to Measure Accuracy?, , , , и . L@S, стр. 161-164. ACM, (2017)A Crowdsourcing Approach to Collecting Tutorial Videos - Toward Personalized Learning-at-Scale., и . L@S, стр. 157-160. ACM, (2017)Automated Evaluation of Classroom Instructional Support with LLMs and BoWs: Connecting Global Predictions to Specific Feedback., и . CoRR, (2023)Permutation-Invariant Consensus over Crowdsourced Labels., , и . HCOMP, стр. 21-30. AAAI Press, (2018)Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking., , , , , и . AIED (2), том 13356 из Lecture Notes in Computer Science, стр. 115-118. Springer, (2022)Deep Learning with Domain Randomization for Optimal Filtering., , , и . ICMLA, стр. 1779-1786. IEEE, (2019)A discriminative approach to frame-by-frame head pose tracking., и . FG, стр. 1-7. IEEE Computer Society, (2008)Haar Features for FACS AU Recognition., и . FGR, стр. 97-101. IEEE Computer Society, (2006)Harnessing Label Uncertainty to Improve Modeling: An Application to Student Engagement Recognition., и . FG, стр. 166-170. IEEE Computer Society, (2018)Climbing the Kaggle Leaderboard by Exploiting the Log-Loss Oracle.. AAAI Workshops, том WS-18 из AAAI Technical Report, стр. 392-399. AAAI Press, (2018)