Research output per year
Research output per year
Personal profile
Biography
Research interests:
Record Linkage, Entity Resolution, Data Mining, Privacy-Preserving Record Linkage and Data Sharing, Machine Learning, Geocoding, Data Pre-Processing, Health Data Mining, Parallel Computing
See my full CV for more details: http://users.cecs.anu.edu.au/~christen/
Qualifications
PhD
Research student supervision
- Registered to supervise
Fingerprint
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Collaborations and top research areas from the last five years
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A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms
Papadakis, G., Kirielle, N., Christen, P. & Palpanas, T., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE Computer Society, p. 3435-3448 14 p. (Proceedings - International Conference on Data Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
6 Citations (Scopus) -
Occupation exposure to coal dust and vulnerability to Influenza: Scottish miners and the 1918 Influenza Pandemic.
Dibben, C., Williamson, L., Reid, A., Garrett, E., Christen, P. & Nanayakkara, C., 15 Sept 2024, In: International Journal of Population Data Science. 9, 5, 2520.Research output: Contribution to journal › Article › peer-review
Open Access -
Privately evaluating sensitive population record linkage without ground truth data
Song, J., Nanayakkara, C. & Christen, P., 2024, (Accepted/In press) In: International Journal of Data Science and Analytics.Research output: Contribution to journal › Article › peer-review
Open Access -
Accurate privacy-preserving record linkage for databases with missing values
Vaiwsri, S., Ranbaduge, T., Christen, P. & Schnell, R., May 2022, In: Information Systems. 106, 101959.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
A critique and attack on “Blockchain-based privacy-preserving record linkage”
Christen, P., Schnell, R., Ranbaduge, T. & Vidanage, A., Sept 2022, In: Information Systems. 108, 101930.Research output: Contribution to journal › Article › peer-review
11 Citations (Scopus)
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Novel methods of data integration and federated learning for many-party individual-privacy applications
Christen, P. (PI), Nanayakkara, C. (CoI), Vidanage, A. (CoI) & Williams, G. (CoI)
1/01/24 → 31/12/26
Project: Research
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Stage 2: Researching the Scottish Historical Population Platform (SHiPP)
Christen, P. (PI), Nanayakkara, C. (CoI) & Williams, G. (CoI)
1/10/22 → 31/03/26
Project: Research
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Stage 1: Developing the Scottish Historical Population Platform (SHiPP)
Christen, P. (PI)
29/11/21 → 31/03/22
Project: Research
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Development of secure and accurate binary encodings for multi-domain privacy-preserving record linkage
Christen, P. (PI) & Ranbaduge, T. (CoI)
1/01/21 → 31/12/24
Project: Research
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Bloom filters for Privacy Preserving Record Linkage
Christen, P. (PI) & Ranbaduge, T. (CoI)
31/05/18 → 31/08/18
Project: Research