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Research papers

Machine learning and privacy

Machine Learning algorithms are born as a solution to a problem. Once we feel comfortable with a prototype, there is still a long path to its deployment...and it is rarely a smooth one. We would like to share our experience transiting that path.

Catalogue: Fusion 2019
Authors: Marcello Frattini, Anna Bellido, Joaquin Casino
Company: Netquest
November 10, 2019
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Citation

Frattini, Bellido and Casino (2019a, November 10). Machine learning and privacy. ANA - ESOMAR. Retrieved April 28, 2024, from


https://ana.esomar.org/documents/machine-learning-and-privacy


Webinars

The value of machine learning in privacy

Market research is embracing insightful new sources of data. Among them, behavioural data is one of the most promising. It has proved to have an edge over survey data by overcoming human memory limitations and lack of sincerity. The challenge,...

Catalogue: Webinars 2018
Authors: Carlos Ochoa, Marcello Frattini
December 13, 2018
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Citation

Ochoa and Frattini (2018a, December 13). The value of machine learning in privacy. ANA - ESOMAR. Retrieved April 28, 2024, from


https://ana.esomar.org/documents/the-value-of-machine-learning-in-privacy-9514