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Girmaw Abebe Tadesse
Girmaw Abebe Tadesse
Microsoft AI for Good Research Lab
在 microsoft.com 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Advances, challenges and opportunities in creating data for trustworthy AI
W Liang, GA Tadesse, D Ho, L Fei-Fei, M Zaharia, C Zhang, J Zou
Nature Machine Intelligence 4 (8), 669-677, 2022
2262022
PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings
D Kiyasseh, GA Tadesse, L Thwaites, T Zhu, D Clifton
IEEE journal of biomedical and health informatics 24 (11), 3226-3235, 2020
672020
Robust multi-dimensional motion features for first-person vision activity recognition
G Abebe, A Cavallaro, X Parra
Computer Vision and Image Understanding 149, 229-248, 2016
452016
Cardiovascular disease diagnosis using cross-domain transfer learning
GA Tadesse, T Zhu, Y Liu, Y Zhou, J Chen, M Tian, D Clifton
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
382019
Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus
HTH Duong, GA Tadesse, PTH Nhat, N Van Hao, J Prince, TD Duong, ...
The American journal of tropical medicine and hygiene 102 (2), 403, 2020
362020
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time
GA Tadesse, H Javed, K Weldemariam, Y Liu, J Liu, J Chen, T Zhu
Artificial Intelligence in Medicine 121, 102192, 2021
342021
Multi-modal diagnosis of infectious diseases in the developing world
GA Tadesse, H Javed, NLN Thanh, HDH Thi, L Thwaites, DA Clifton, ...
IEEE journal of biomedical and health informatics 24 (7), 2131-2141, 2020
282020
A long short-term memory convolutional neural network for first-person vision activity recognition
G Abebe, A Cavallaro
Proceedings of the IEEE International Conference on Computer Vision …, 2017
252017
Inertial-vision: cross-domain knowledge transfer for wearable sensors
G Abebe, A Cavallaro
Proceedings of the IEEE International Conference on Computer Vision …, 2017
222017
Hierarchical modeling for first-person vision activity recognition
G Abebe, A Cavallaro
Neurocomputing 267, 362-377, 2017
192017
Out-of-distribution detection in dermatology using input perturbation and subset scanning
H Kim, GA Tadesse, C Cintas, S Speakman, K Varshney
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-4, 2022
172022
A First-Person Vision Dataset of Office Activities
G Abebe, A Catala, A Cavallaro
IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2018
172018
Severity detection tool for patients with infectious disease
GA Tadesse, T Zhu, N Le Nguyen Thanh, NT Hung, HTH Duong, ...
Healthcare Technology Letters 7 (2), 45-50, 2020
162020
Visual features for ego-centric activity recognition: A survey
G Abebe Tadesse, A Cavallaro
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 48-53, 2018
142018
Privacy-aware human activity recognition from a wearable camera: highlights from the IEEE video and image processing cup 2019 student competition [sp competitions]
GA Tadesse, O Bent, L Marcenaro, K Weldemariam, A Cavallaro
IEEE Signal Processing Magazine 37 (3), 168-172, 2020
112020
Quantifying the impact of COVID-19 on essential health services: a comparison of interrupted time series analysis using Prophet and Poisson regression models
W Ogallo, I Wanyana, GA Tadesse, C Wanjiru, V Akinwande, S Kabwama, ...
Journal of the American Medical Informatics Association 30 (4), 634-642, 2023
102023
Skin tone analysis for representation in educational materials (star-ed) using machine learning
GA Tadesse, C Cintas, KR Varshney, P Staar, C Agunwa, S Speakman, ...
NPJ Digital Medicine 6 (1), 151, 2023
92023
Pattern detection in the activation space for identifying synthesized content
C Cintas, S Speakman, GA Tadesse, V Akinwande, E McFowland III, ...
Pattern Recognition Letters 153, 207-213, 2022
82022
Detection of anomalous patterns associated with the impact of medications on 30-day hospital readmission rates in diabetes care
W Ogallo, GA Tadesse, S Speakman, A Walcott-Bryant
AMIA Summits on Translational Science Proceedings 2021, 495, 2021
82021
Advances, challenges and opportunities in creating data for trustworthy AI. Nat Mach Intell 4: 669–677
W Liang, GA Tadesse, D Ho, L Fei-Fei, M Zaharia, C Zhang, J Zou
72022
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