David Rebollo-Monedero, Ph.D.
Affiliations: | 2008 | Stanford University, Palo Alto, CA |
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"David Rebollo-Monedero"Parents
Sign in to add mentor| Bernd Girod | grad student | 2008 | Stanford | |
| (Quantization and transforms for distributed source coding.) | ||||
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Publications
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| Pallarès E, Rebollo-Monedero D, Rodríguez-Hoyos A, et al. (2020) Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets Expert Systems With Applications. 144: 113086 |
| Rodríguez-Hoyos A, Rebollo-Monedero D, Estrada-Jiménez J, et al. (2020) Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis Engineering Applications of Artificial Intelligence. 94: 103787 |
| Rodríguez-Hoyos A, Estrada-Jiménez J, Rebollo-Monedero D, et al. (2020) The Fast Maximum Distance to Average Vector (F-MDAV): An algorithm for k-anonymous microaggregation in big data Engineering Applications of Artificial Intelligence. 90: 103531 |
| Rebollo-Monedero D, Hernandez-Baigorri C, Forne J, et al. (2018) Incremental $k$ -Anonymous Microaggregation in Large-Scale Electronic Surveys With Optimized Scheduling Ieee Access. 6: 60016-60044 |
| Rodriguez-Hoyos A, Estrada-Jimenez J, Rebollo-Monedero D, et al. (2018) Does $k$ -Anonymous Microaggregation Affect Machine-Learned Macrotrends? Ieee Access. 6: 28258-28277 |
| Puglisi S, Rebollo-Monedero D, Forné J. (2017) On the Anonymity Risk of Time-Varying User Profiles Entropy. 19: 190 |
| Puglisi S, Rebollo-Monedero D, Forné J. (2017) On web user tracking of browsing patterns for personalised advertising International Journal of Parallel, Emergent and Distributed Systems. 32: 1-20 |
| Rebollo-Monedero D, Forné J, Soriano M, et al. (2017) p-probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation Information Sciences. 382: 388-414 |
| Parra-Arnau J, Mármol FG, Rebollo-Monedero D, et al. (2017) Shall I post this now? Optimized, delay-based privacy protection in social networks Knowledge and Information Systems. 52: 113-145 |
| Rebollo-Monedero D, Forné J, Soriano M, et al. (2016) k-Anonymous microaggregation with preservation of statistical dependence Information Sciences. 342: 1-23 |