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Irena Koprinska

Showing results (1-10 of 11) with videos related to

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Studies in Health Technology and Informatics|July 27, 2015
Automated Classification of Clinical Incident TypesJaiprakash Gupta, Irena Koprinska, Jon Patrick
IEEE Journal of Biomedical and Health Informatics|September 5, 2023
Sleep Apnea Prediction Using Deep LearningEileen Wang, Irena Koprinska, Bryn Jeffries
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older AdultsYang Gao, Mahnoosh Kholghi, Irena Koprinska, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the BrainwavesRoneel V Sharan, Shlomo Berkovsky, Ronnie Taib, et al.
Emergency Medicine Australasia : EMA|November 24, 2018
The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-makingKathryn Rendell, Irena Koprinska, Andre Kyme, et al.
Bioinformatics (Oxford, England)|January 28, 2021
Using single-cell cytometry to illustrate integrated multi-perspective evaluation of clustering algorithms using Pareto frontsGivanna H Putri, Irena Koprinska, Thomas M Ashhurst, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|June 27, 2022
TrackSOM: Mapping immune response dynamics through clustering of time-course cytometry dataGivanna H Putri, Jonathan Chung, Davis N Edwards, et al.
Emergency Medicine Australasia : EMA|March 9, 2026
The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine LearningMichael Dinh, Elizabeth Corbett, Eliot Salmon, et al.
JMIR Research Protocols|January 28, 2018
Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional StudyLyndal Wellard-Cole, Jisu Jung, Judy Kay, et al.
Nutrients|September 23, 2022
The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional StudyEmma Nassif, Alyse Davies, Kim B Bente, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|July 27, 2015
Automated Classification of Clinical Incident TypesJaiprakash Gupta, Irena Koprinska, Jon Patrick
IEEE Journal of Biomedical and Health Informatics|September 5, 2023
Sleep Apnea Prediction Using Deep LearningEileen Wang, Irena Koprinska, Bryn Jeffries
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Association of Longitudinal Sleep and Next-day Indoor Mobility Measured via Passive Sensors among Community-dwelling Older AdultsYang Gao, Mahnoosh Kholghi, Irena Koprinska, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the BrainwavesRoneel V Sharan, Shlomo Berkovsky, Ronnie Taib, et al.
Emergency Medicine Australasia : EMA|November 24, 2018
The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-makingKathryn Rendell, Irena Koprinska, Andre Kyme, et al.
Bioinformatics (Oxford, England)|January 28, 2021
Using single-cell cytometry to illustrate integrated multi-perspective evaluation of clustering algorithms using Pareto frontsGivanna H Putri, Irena Koprinska, Thomas M Ashhurst, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|June 27, 2022
TrackSOM: Mapping immune response dynamics through clustering of time-course cytometry dataGivanna H Putri, Jonathan Chung, Davis N Edwards, et al.
Emergency Medicine Australasia : EMA|March 9, 2026
The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine LearningMichael Dinh, Elizabeth Corbett, Eliot Salmon, et al.
JMIR Research Protocols|January 28, 2018
Examining the Frequency and Contribution of Foods Eaten Away From Home in the Diets of 18- to 30-Year-Old Australians Using Smartphone Dietary Assessment (MYMeals): Protocol for a Cross-Sectional StudyLyndal Wellard-Cole, Jisu Jung, Judy Kay, et al.
Nutrients|September 23, 2022
The Contribution of Nutrients of Concern to the Diets of 18-to-30-Year-Old Australians from Food Prepared Outside Home Differs by Food Outlet Types: The MYMeals Cross-Sectional StudyEmma Nassif, Alyse Davies, Kim B Bente, et al.
Pageof 2