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LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos.

, , , , and . EDM, page 215-222. International Educational Data Mining Society (IEDMS), (2016)

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LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos., , , , and . EDM, page 215-222. International Educational Data Mining Society (IEDMS), (2016)Pegasus: Mapping Scientific Workflows onto the Grid., , , , , , , , and . European Across Grids Conference, volume 3165 of Lecture Notes in Computer Science, page 11-20. Springer, (2004)Content-driven Multi-modal Techniques for Non-linear Video Navigation., , , , , , and . IUI, page 333-344. ACM, (2015)Grid-Based Metadata Services., , , , , , , , and . SSDBM, page 393-402. IEEE Computer Society, (2004)STAR: Real-time Spatio-Temporal Analysis and Prediction of Traffic Insights using Social Media., , , , and . CODS Companion Volume, page 7:1-7:4. ACM, (2015)A Metadata Catalog Service for Data Intensive Applications., , , , , , , and . SC, page 33. ACM, (2003)Acoustic stress detection for improved navigation of educational videos., , and . INTERSPEECH, page 1882-1883. ISCA, (2015)A Spatial Web Crawler for Discovering Geo-servers and Semantic Referencing with Spatial Features., , and . ICDCIT, volume 8337 of Lecture Notes in Computer Science, page 68-78. Springer, (2014)Stylex: a corpus of educational videos for research on speaking styles and their impact on engagement and learning., , , , and . INTERSPEECH, page 334-338. ISCA, (2015)Further Data Visualization Designs to Support Shared Decision Making About Blood Pressure., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2019)