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Automated scoring of interview videos using Doc2Vec multimodal feature extraction paradigm.

, , , , , , , and . ICMI, page 161-168. ACM, (2016)

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The Cognitive Science Research Group at Educational Testing Service (ETS)., , , , , , and . CogSci, cognitivesciencesociety.org, (2014)An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data., , , , and . INTERSPEECH, page 1373-1377. ISCA, (2015)Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring., , , , and . ICMI, page 23-30. ACM, (2015)Using Multimodal Cues to Analyze MLA'14 Oral Presentation Quality Corpus: Presentation Delivery and Slides Quality., , , and . MLA@ICMI, page 45-52. ACM, (2014)Development of an irrigation scheduling software based on model predicted crop water stress., , , , , , , and . Comput. Electron. Agric., (2017)How Eye Gaze Feedback Changes Parent-Child Joint Attention in Shared Storybook Reading?, and . Eye Gaze in Intelligent User Interfaces, Springer, (2013)The future of control and automation: A personal perspective in model based fuzzy control.. ICARCV, IEEE, (2014)Is there market discipline for New Zealand non-bank financial institutions?, and . Journal of International Financial Markets, Institutions and Money, 17 (4): 326--340 (October 2007)Automatic Scoring of Monologue Video Interviews Using Multimodal Cues., , , , , , , , and . INTERSPEECH, page 32-36. ISCA, (2016)Automated video interview judgment on a large-sized corpus collected online., , , , , and . ACII, page 504-509. IEEE Computer Society, (2017)