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Mahin Ramezani
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2020 – today
- 2021
- [c3]Mahin Ramezani, Guru Ilangovan, Hye-Chung Kum:
Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [i1]Mohammad Karim, Mahin Ramezani, Tenaya Sunbury, Robert Ohsfeldt, Hye-Chung Kum:
VIEW: a framework for organization level interactive record linkage to support reproducible data science. CoRR abs/2102.08273 (2021) - 2020
- [j2]Mohammad Reza Keyvanpour, Shokofeh Vahidian
, Mahin Ramezani:
HMR-vid: a comparative analytical survey on human motion recognition in video data. Multim. Tools Appl. 79(43-44): 31819-31863 (2020)
2010 – 2019
- 2019
- [j1]Duc Thanh Anh Luong
, Prerna Singh
, Mahin Ramezani, Varun Chandola:
longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data. J. Heal. Informatics Res. 3(4): 441-459 (2019) - [c2]Qinbo Li, Adam G. D'Souza, Mahin Ramezani, Cason Schmit, Hye-Chung Kum:
Increasing Transparent and Accountable Use of Data by Quantifying the Actual Privacy Risk in Interactive Record Linkage. AMIA 2019 - [c1]Hye-Chung Kum, Eric D. Ragan, Gurudev Ilangovan, Mahin Ramezani, Qinbo Li, Cason Schmit:
Enhancing Privacy through an Interactive On-demand Incremental Information Disclosure Interface: Applying Privacy-by-Design to Record Linkage. SOUPS @ USENIX Security Symposium 2019
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last updated on 2024-04-24 22:51 CEST by the dblp team
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