Girmaw Abebe

According to our database, Girmaw Abebe authored at least 45 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery.

Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke

CoRR, 2024

Weak Labeling for Cropland Mapping in Africa.

Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood

CoRR, 2024

2023

Quantifying the impact of COVID-19 on essential health services: a comparison of interrupted time series analysis using Prophet and Poisson regression models.

William Ogallo, Irene Wanyana, Girmaw Abebe Tadesse, Catherine Wanjiru, Victor Akinwande, Steven Kabwama, Sekou Lionel Remy, Charles Wachira, Sharon Okwako, Susan Kizito, Rhoda Wanyenze, Suzanne Kiwanuka, Aisha Walcott-Bryant

J. Am. Medical Informatics Assoc., March, 2023

Detecting Systematic Deviations in Data and Models.

Skyler Speakman, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan

Computer, February, 2023

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.

Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou

npj Digit. Medicine, 2023

Efficient Representation of the Activation Space in Deep Neural Networks.

Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III

CoRR, 2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CoRR, 2023

Domain-agnostic and Multi-level Evaluation of Generative Models.

Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam

CoRR, 2023

Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks.

Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mac. Intell., October, 2022

Pattern detection in the activation space for identifying synthesized content.

Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam

Pattern Recognit. Lett., 2022

Advances, challenges and opportunities in creating data for trustworthy AI.

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou

Nat. Mach. Intell., 2022

BON: An extended public domain dataset for human activity recognition.

Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam, Md. Abrar Istiak, Taufiq Hasan, Andrea Cavallaro

CoRR, 2022

Sparsity-based Feature Selection for Anomalous Subgroup Discovery.

Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman

CoRR, 2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022

Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning.

Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning.

Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Systematic Discovery of Bias in Data.

John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman

Proceedings of the IEEE International Conference on Big Data, 2022

Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data.

Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman

Proceedings of the IEEE International Conference on Big Data, 2022

Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention.

Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman

Proceedings of the AMIA 2022, 2022

2021

BON - Egocentric Vision Dataset for Office Activity Recognition.

Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam, Md. Abrar Istiak, Taufiq Hasan

Dataset, July, 2021

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021.

Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott

CoRR, 2021

Post-discovery Analysis of Anomalous Subsets.

Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant

CoRR, 2021

Automated Supervised Feature Selection for Differentiated Patterns of Care.

Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang', Aisha Walcott-Bryant

CoRR, 2021

DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time.

Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu

Artif. Intell. Medicine, 2021

Machine Learning for Health (ML4H) 2021.

Subhrajit Roy, Stephen Pfohl, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer

Proceedings of the Machine Learning for Health, 2021

Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings.

Amee Trivedi, William Ogallo, Girmaw Abebe Tadesse

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Racial Representation Analysis in Dermatology Academic Materials.

Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter W. J. Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Automatic Stratification of Tabular Health Data.

Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies.

Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu

IEEE J. Biomed. Health Informatics, 2020

PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.

Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton

IEEE J. Biomed. Health Informatics, 2020

Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions].

Girmaw Abebe Tadesse, Oliver Bent, Lucio Marcenaro, Komminist Weldemariam, Andrea Cavallaro

IEEE Signal Process. Mag., 2020

Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys.

Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam

CoRR, 2020

Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction.

Girmaw Abebe Tadesse, Komminist Weldemariam, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020

A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms.

Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Tingting Zhu

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Severity Detection Tool for Patients with Infectious Disease.

Girmaw Abebe Tadesse, Tingting Zhu, Nhan Le Nguyen Thanh, Nguyen Thanh Hung, Ha Thi Hai Duong, Truong Huu Khanh, Pham Van Quang, Duc Duong Tran, LamMinh Yen, H. Rogier Van Doorn, Nguyen Van Hao, John Prince, Hamza A. Javed, Dani Kiyasseh, Le Van Tan, Louise Thwaites, David A. Clifton

CoRR, 2019

Cardiovascular disease diagnosis using cross-domain transfer learning.

Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Human activity recognition using a wearable camera.

Girmaw Abebe Tadesse

PhD thesis, 2018

A First-Person Vision Dataset of Office Activities.

Girmaw Abebe, Andreu Català, Andrea Cavallaro

Proceedings of the Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, 2018

Visual features for ego-centric activity recognition: a survey.

Girmaw Abebe Tadesse, Andrea Cavallaro

Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 2018

2017

Hierarchical modeling for first-person vision activity recognition.

Girmaw Abebe, Andrea Cavallaro

Neurocomputing, 2017

Inertial-Vision: Cross-Domain Knowledge Transfer for Wearable Sensors.

Girmaw Abebe, Andrea Cavallaro

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition.

Girmaw Abebe, Andrea Cavallaro

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Robust multi-dimensional motion features for first-person vision activity recognition.

Girmaw Abebe, Andrea Cavallaro, Xavier Parra

Comput. Vis. Image Underst., 2016