Publications

Found 170 results
Author Title Type [ Year(Desc)]
Filters: Author is Gerald Friedland  [Clear All Filters]
2018
Tschantz, M. Carl, Egelman S., Choi J., Weaver N., & Friedland G. (2018).  The Accuracy of the Demographic Inferences Shown on Google's Ad Settings. Proceedings of the 2018 Workshop on Privacy in the Electronic Society. 33-41.
Choi, J., Akkus I. Ekin, Egelman S., Friedland G., Sommer R., Tschantz M. Carl, et al. (2018).  Cybercasing 2.0: You Get What You Pay For.
Ma, D., Friedland G., & Krell M. Michael (2018).  OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation. Proceedings of the 7th International Meeting on Origami in Science, Mathematics and Education (7OSME).
2019
Choi, J., Larson M., Friedland G., & Hanjalic A. (2019).  From Intra-Modal to Inter-Modal Space: Multi-Task Learning of Shared Representations for Cross-Modal Retrieval. Proceedings of 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM). 1-10.
Larson, M., Choi J., Slokom M., Erkin Z., Friedland G., & de Vries A. P. (2019).  Privacy and audiovisual content: Protecting users as big multimedia data grows bigger. Big Data Analytics for Large-Scale Multimedia Search.
Tschantz, M. Carl, & Friedland G. (2019).  Privacy Concerns of Multimodal Sensor Systems. The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations . 1,
Friedland, G. (2019).  Reproducibility and Experimental Design for Machine Learning on Audio and Multimedia Data. Proceedings of the 27th ACM International Conference on Multimedia. 2709-2710.
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
Ye, Z., Choi J., & Friedland G. (2019).  Supervised Deep Hashing for Highly Efficient Cover Song Detection. Proceedings of the 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).
2020
Zhao, T., Choi J., & Friedland G. (2020).  DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models. International Conference on Multimedia Modeling. 729-733.

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