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Arbia Boudaoud, Salheddine Kabou
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Imdmi: Improved distributed M-invariance model to achieve privacy continuous big data publishing using apache spark
10.1016/j.bdr.2025.100519 · 2025
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2024
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2017
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2022
Sig-wasserstein GANs for conditional time series generation
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2022
A tutorial on the spectral theory of Markov chains
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A tutorial on hidden Markov models and selected applications in speech recognition
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Improved training of wasserstein GANs
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Understanding the architecture of vision transformer and its variants: A review
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Vital-sign circadian rhythms in patients prior to discharge from an ICU: A retrospective observational analysis of routinely recorded physiological data
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Sedation for adult ICU patients: A narrative review including a retrospective study of our own data
10.4103/sja.sja_905_22 · 2023
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MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · 2016
EHR-SAFE: Generating high-fidelity and privacy preserving synthetic electronic health records
10.1038/s41746-023-00888-7 · 2023
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Improved precision and recall metric for assessing generative models
2019
10.5220/0005226004700477
10.5220/0005226004700477 · doi-reference
EHR-SAFE: Generating high-fidelity and privacy preserving synthetic electronic health records
10.1038/s41746-023-00888-7 · doi-reference
MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · doi-reference
Sedation for adult ICU patients: A narrative review including a retrospective study of our own data
10.4103/sja.sja_905_22 · doi-reference
Vital-sign circadian rhythms in patients prior to discharge from an ICU: A retrospective observational analysis of routinely recorded physiological data
10.1186/s13054-020-02861-2 · doi-reference
Simulated annealing
10.1214/ss/1177011077 · doi-reference
Bayesian approaches to Gaussian mixture modeling
10.1109/34.730550 · doi-reference
The earth mover’s distance as a metric for image retrieval
10.1023/a:1026543900054 · doi-reference
A tutorial on the spectral theory of Markov chains
10.1162/neco_a_01611 · doi-reference
Sig-wasserstein GANs for conditional time series generation
10.1111/mafi.12423 · doi-reference
Ensuring electronic medical record simulation through better training, modelling, and evaluation
10.1093/jamia/ocz161 · doi-reference
Multi-label clinical time-series generation via conditional GAN
10.1109/tkde.2023.3310909 · doi-reference
TimEHR: Image-Based Time Series Generation for Electronic Health Records
10.1109/jbhi.2025.3577328 · doi-reference
Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies
10.1097/mlr.0b013e3182585355 · doi-reference
BuKc: A novel bottom-up approach for enhanced data anonymization in apache spark
10.1007/s10207-025-01177-y · doi-reference
Imdmi: Improved distributed M-invariance model to achieve privacy continuous big data publishing using apache spark
10.1016/j.bdr.2025.100519 · doi-reference