Derya Ozkan, Ph.D.
Affiliations: | 2014 | Computer Science | University of Southern California, Los Angeles, CA, United States |
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"Derya Ozkan"Parents
Sign in to add mentorLouis-Philippe Morency | grad student | 2014 | USC | |
(Towards social virtual listeners: Computational models of human nonverbal behaviors.) |
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Publications
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Ozkan D, Morency LP. (2013) Latent mixture of discriminative experts Ieee Transactions On Multimedia. 15: 326-338 |
Ozkan D, Morency LP. (2013) Prediction of visual backchannels in the absence of visual context using mutual influence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8108: 189-202 |
Ozkan D, Scherer S, Morency LP. (2012) Step-wise emotion recognition using concatenated-HMM Icmi'12 - Proceedings of the Acm International Conference On Multimodal Interaction. 477-484 |
Ozkan D, Morency LP. (2011) Modeling wisdom of crowds using Latent Mixture of Discriminative Experts Acl-Hlt 2011 - Proceedings of the 49th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies. 2: 335-340 |
De Kok I, Ozkan D, Heylen D, et al. (2010) Learning and evaluating response prediction models using parallel listener consensus International Conference On Multimodal Interfaces and the Workshop On Machine Learning For Multimodal Interaction, Icmi-Mlmi 2010 |
Ozkan D, Duygulu P. (2010) Interesting faces: A graph-based approach for finding people in news Pattern Recognition. 43: 1717-1735 |
Ozkan D, Morency LP. (2010) Concensus of self-features for nonverbal behavior analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6219: 75-86 |
Ozkan D, Sagae K, Morency LP. (2010) Latent mixture of discriminative experts for multimodal prediction modeling Coling 2010 - 23rd International Conference On Computational Linguistics, Proceedings of the Conference. 2: 860-868 |
Duygulu P, Baştan M, Ozkan D. (2008) Combining textual and visual information for semantic labeling of images and videos Cognitive Technologies. 205-225 |