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Rahul Kumar Sevakula

Showing results (1-10 of 4) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Assessing Generalization Ability of Majority Vote Point ClassifiersRahul Kumar Sevakula, Nishchal Kumar Verma
European Heart Journal. Digital Health|October 4, 2021
Ambulatory monitoring promises equitable personalized healthcare delivery in underrepresented patientsKanchan Kulkarni, Rahul Kumar Sevakula, Mohamad B Kassab, et al.
Journal of the American Heart Association|February 19, 2020
State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular SystemRahul Kumar Sevakula, Wan-Tai M Au-Yeung, Jagmeet P Singh, et al.
NPJ Cardiovascular Health|August 4, 2025
Machine learning based, subject-specific, gender and race independent, non-invasive estimation of the arterial blood pressureRahul Kumar Sevakula, Patrícia J Bota, Mohamad B Kassab, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|January 24, 2017
Assessing Generalization Ability of Majority Vote Point ClassifiersRahul Kumar Sevakula, Nishchal Kumar Verma
European Heart Journal. Digital Health|October 4, 2021
Ambulatory monitoring promises equitable personalized healthcare delivery in underrepresented patientsKanchan Kulkarni, Rahul Kumar Sevakula, Mohamad B Kassab, et al.
Journal of the American Heart Association|February 19, 2020
State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular SystemRahul Kumar Sevakula, Wan-Tai M Au-Yeung, Jagmeet P Singh, et al.
NPJ Cardiovascular Health|August 4, 2025
Machine learning based, subject-specific, gender and race independent, non-invasive estimation of the arterial blood pressureRahul Kumar Sevakula, Patrícia J Bota, Mohamad B Kassab, et al.
Pageof 1