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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.

, , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28531-28548. PMLR, (2023)

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Ridwan Sarwin

Masoom Alam

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Adnan Ridwan

 

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Inferring physical agitation in dementia using smartwatch and sequential behavior models., , , и . BHI, стр. 170-173. IEEE, (2018)M^2G: A Monitor of Monitoring Systems with Ground Truth Validation Features for Research-Oriented Residential Applications., , , , , , и . MASS, стр. 10-18. IEEE Computer Society, (2017)BESI: Reliable and Heterogeneous Sensing and Intervention for In-home Health Applications., , , , , , , , , и 1 other автор(ы). CHASE, стр. 147-156. IEEE Computer Society / ACM, (2017)Motion Biomarkers for Early Detection of Dementia-Related Agitation., , , , , , и . DigitalBioMarker@MobiSys, стр. 15-20. ACM, (2017)Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28531-28548. PMLR, (2023)Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models., и . CoRR, (2024)Wearable Respiration Monitoring: Interpretable Inference With Context and Sensor Biomarkers., , и . IEEE J. Biomed. Health Informatics, 25 (6): 1938-1948 (2021)QTNet: Deep Learning for Estimating QT Intervals Using a Single Lead ECG., , и . EMBC, стр. 1-4. IEEE, (2023)Non-Invasive Inference of Minute Ventilation Using Wearable ECG and Gaussian Process Regression., , , и . BHI, стр. 1-4. IEEE, (2019)Besi: behavior learning and tracking with wearable and in-home sensors - a dementia case-study: poster abstract., , , , и . IoTDI, стр. 281-282. ACM, (2019)