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Classification of Brain-Computer Interface Data.

, , and . AusDM, volume 87 of CRPIT, page 123-131. Australian Computer Society, (2008)

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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)Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals., , and . IEEE Trans. Affect. Comput., 3 (3): 298-310 (2012)A Scalable Intelligent Tutoring System Framework for Computer Science Education., , , , , and . CSEDU (1), page 372-379. SciTePress, (2015)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)Learning Recursion: Insights from the ChiQat Intelligent Tutoring System., , , , and . CSEDU (2), page 336-343. SCITEPRESS, (2020)Hydrocephalus classification in brain computed tomography medical images using deep learning., , , , and . Simul. Model. Pract. Theory, (2023)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)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)