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Affective Modeling from Multichannel Physiology: Analysis of Day Differences.

, , , and . ACII (1), volume 6974 of Lecture Notes in Computer Science, page 4-13. Springer, (2011)

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Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor., , , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 131-138. Springer, (2011)A Scalable Intelligent Tutoring System Framework for Computer Science Education., , , , , and . CSEDU (1), page 372-379. SciTePress, (2015)Learning Recursion: Insights from the ChiQat Intelligent Tutoring System., , , , and . CSEDU (2), page 336-343. SCITEPRESS, (2020)Affect detection from arabic tweets using ensemble and deep learning techniques., , and . J. King Saud Univ. Comput. Inf. Sci., 34 (6 Part A): 2529-2539 (2022)Worked-out Examples in a Computer Science Intelligent Tutoring System., , , , , and . SIGITE, page 121. ACM, (2015)Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System., , , , and . ITS, volume 9684 of Lecture Notes in Computer Science, page 389-395. Springer, (2016)Varicocele detection in ultrasound images using deep learning., , , and . Multim. Tools Appl., 83 (23): 63617-63634 (July 2024)Financial Sentiment Analysis based on transformers and Majority Voting., and . AICCSA, page 1-4. IEEE, (2022)A Study of Analogy in Computer Science Tutorial Dialogues., , , , , and . CSEDU (2), page 232-237. SciTePress, (2015)Classification of Brain-Computer Interface Data., , and . AusDM, volume 87 of CRPIT, page 123-131. Australian Computer Society, (2008)