Puja Myles - RankMe

17 papers B 5Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Probabilistic Versus Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data. Int. J. Comput. Intell. Syst. Dima R. Alattal, Barbara Draghi, Puja Myles, Richard Branson, Allan Tucker
2025	J	`jnl`	A Consensus Privacy Metrics Framework for Synthetic Data. CoRR Lisa Pilgram, Fida K. Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2025	J	`jnl`	A consensus privacy metrics framework for synthetic data. Patterns Lisa Pilgram, Fida Kamal Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo-Ferrer, Paul Francis, Murat Kantarcioglu, Linglong Kong, Bradley A. Malin, Krishnamurty Muralidhar, Puja Myles, Fabian Prasser, Jean Louis Raisaro, Chao Yan, Khaled El Emam
2025	J	`jnl`	Crossing borders securely: synthetic data and federated networks for privacy-preserving access to real-world data and emerging use cases. npj Digit. Medicine Echo H. Wang, Puja Myles, Randi Foraker, Sengwee Toh, Lucy Mosquera, Khaled El Emam, Mehmet Burcu
2025	J	`jnl`	Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations. CoRR Dima R. Alattal, Asal Khoshravan Azar, Puja Myles, Richard Branson, Hatim Abdulhussein, Allan Tucker
2024	—	`conf`	Predicting Performance Drift in AI Models of Healthcare Without Ground Truth Labels. IDA (1) Ylenia Rotalinti, Puja Myles, Allan Tucker
2023	B	`conf`	Creating Synthetic Geospatial Patient Data to Mimic Real Data Whilst Preserving Privacy: *2022 35th International Symposium on Computer-Based Medical Systems (CBMS). CBMS Dima R. Alattal, Zhenchen Wang, Puja Myles, Allan Tucker
2023	B	`conf`	Privacy Assessment of Synthetic Patient Data. CBMS Ferdoos Hossein Nezhad, Ylenia Rotalinti, Puja Myles, Allan Tucker
2023	B	`conf`	The Impact of Bias on Drift Detection in AI Health Software. AIME Asal Khoshravan Azar, Barbara Draghi, Ylenia Rotalinti, Puja Myles, Allan Tucker
2022	—	`conf`	Detecting Drift in Healthcare AI Models Based on Data Availability. PKDD/ECML Workshops (2) Ylenia Rotalinti, Allan Tucker, Michael Lonergan, Puja Myles, Richard Branson
2021	—	`conf`	BayesBoost: Identifying and Handling Bias Using Synthetic Data Generators. LIDTA@ECML/PKDD Barbara Draghi, Zhenchen Wang, Puja Myles, Allan Tucker
2021	B	`conf`	Evaluating a Longitudinal Synthetic Data Generator using Real World Data. CBMS Zhenchen Wang, Puja Myles, Anu Jain, James L. Keidel, Roberto Liddi, Lucy Mackillop, Carmelo Velardo, Allan Tucker
2021	J	`jnl`	Generating and evaluating cross-sectional synthetic electronic healthcare data: Preserving data utility and patient privacy. Comput. Intell. Zhenchen Wang, Puja Myles, Allan Tucker
2020	J	`jnl`	Generating high-fidelity synthetic patient data for assessing machine learning healthcare software. npj Digit. Medicine Allan Tucker, Zhenchen Wang, Ylenia Rotalinti, Puja Myles
2020	—	`conf`	Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks. PKDD/ECML Workshops Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles, Allan Tucker
2019	B	`conf`	Generating and Evaluating Synthetic UK Primary Care Data: Preserving Data Utility & Patient Privacy. CBMS Zhenchen Wang, Puja Myles, Allan Tucker
2018	J	`jnl`	Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness. CoRR Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway