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Girmaw Abebe Tadesse
Girmaw Abebe Tadesse
Microsoft AI for Good Research Lab
Overená e-mailová adresa na: microsoft.com - Domovská stránka
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Citované v
Citované v
Rok
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
3902022
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
782020
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
472016
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, 2019
452019
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
442019
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
422021
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
322020
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
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
212022
Hierarchical modeling for first-person vision activity recognition
G Abebe, A Cavallaro
Neurocomputing 267, 362-377, 2017
192017
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
172023
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
162023
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
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
162018
DMLR: Data-centric Machine Learning Research--Past, Present and Future
L Oala, M Maskey, L Bat-Leah, A Parrish, NM Gürel, TS Kuo, Y Liu, R Dror, ...
arXiv preprint arXiv:2311.13028, 2023
132023
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
132018
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
102020
Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, and Pin-Yu Chen. Towards creativity characterization of generative models via group-based subset scanning
C Cintas
International Joint Conference on Artificial Intelligence, 2022
92022
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
92022
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20