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Elke Rundensteiner

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

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IEEE Journal of Biomedical and Health Informatics|April 1, 2020
Screening For Depression With Retrospectively Harvested Private Versus Public TextM L Tlachac, Elke Rundensteiner
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Ensembles of BERT for Depression ClassificationSaskia Senn, M L Tlachac, Ricardo Flores, et al.
Scientific Reports|November 5, 2021
Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social mediaDandan Tao, Dongyu Zhang, Ruofan Hu, et al.
Foods (Basel, Switzerland)|October 28, 2023
Epidemiological Data Mining for Assisting with Foodborne Outbreak InvestigationDandan Tao, Dongyu Zhang, Ruofan Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Deep Loss Convexification for Learning Iterative ModelsZiming Zhang, Yuping Shao, Yiqing Zhang, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Domain Adaptation Methods for Lab-to-Field Human Context RecognitionAbdulaziz Alajaji, Walter Gerych, Luke Buquicchio, 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
Anomalous Antimicrobial Susceptibility Trend Identification<sup>.</sup>M L Tlachac, Elke Rundensteiner, Kerri Barton, et al.
Foods (Basel, Switzerland)|July 29, 2023
A Novel Foodborne Illness Detection and Web Application Tool Based on Social MediaDandan Tao, Ruofan Hu, Dongyu Zhang, et al.
AIDS (London, England)|April 19, 2021
Adolescent HIV-related behavioural prediction using machine learning: a foundation for precision HIV preventionBo Wang, Feifan Liu, Lynette Deveaux, et al.
Frontiers in Psychiatry|August 20, 2021
Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future DirectionsEdwin D Boudreaux, Elke Rundensteiner, Feifan Liu, et al.
Pageof 2

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

Sort By:
Pageof 2
IEEE Journal of Biomedical and Health Informatics|April 1, 2020
Screening For Depression With Retrospectively Harvested Private Versus Public TextM L Tlachac, Elke Rundensteiner
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Ensembles of BERT for Depression ClassificationSaskia Senn, M L Tlachac, Ricardo Flores, et al.
Scientific Reports|November 5, 2021
Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social mediaDandan Tao, Dongyu Zhang, Ruofan Hu, et al.
Foods (Basel, Switzerland)|October 28, 2023
Epidemiological Data Mining for Assisting with Foodborne Outbreak InvestigationDandan Tao, Dongyu Zhang, Ruofan Hu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Deep Loss Convexification for Learning Iterative ModelsZiming Zhang, Yuping Shao, Yiqing Zhang, et al.
Sensors (Basel, Switzerland)|March 30, 2023
Domain Adaptation Methods for Lab-to-Field Human Context RecognitionAbdulaziz Alajaji, Walter Gerych, Luke Buquicchio, 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
Anomalous Antimicrobial Susceptibility Trend Identification<sup>.</sup>M L Tlachac, Elke Rundensteiner, Kerri Barton, et al.
Foods (Basel, Switzerland)|July 29, 2023
A Novel Foodborne Illness Detection and Web Application Tool Based on Social MediaDandan Tao, Ruofan Hu, Dongyu Zhang, et al.
AIDS (London, England)|April 19, 2021
Adolescent HIV-related behavioural prediction using machine learning: a foundation for precision HIV preventionBo Wang, Feifan Liu, Lynette Deveaux, et al.
Frontiers in Psychiatry|August 20, 2021
Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future DirectionsEdwin D Boudreaux, Elke Rundensteiner, Feifan Liu, et al.
Pageof 2