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The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students., , , , and . CoRR, (2019)Behavioral Engagement Detection of Students in the Wild., , , , , and . AIED, volume 10331 of Lecture Notes in Computer Science, page 250-261. Springer, (2017)Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data., , , , , and . CoRR, (2019)Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets., and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 425-436. Springer, (2019)A DCT-based multiscale binary descriptor robust to complex brightness changes., , and . EUSIPCO, page 1573-1577. IEEE, (2016)Learner Engagement Measurement and Classification in 1: 1 Learning., , , , , , , , , and . ICMLA, page 545-552. IEEE, (2014)Exploring visual dictionaries: A model driven perspective., , , and . J. Visual Communication and Image Representation, (2017)Ancient Coin Classification Using Graph Transduction Games., , and . CoRR, (2018)Role of Socio-cultural Differences in Labeling Students' Affective States., , , , and . AIED (1), volume 10947 of Lecture Notes in Computer Science, page 367-380. Springer, (2018)A novel study on developing a model-driven visual dictionary., , , and . SIU, page 2081-2084. IEEE, (2016)