Girmaw Abebe Tadesse

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Venues

CoRR

AMIA

IEEE J. Biomed. Health Informatics

ML4H@NeurIPS

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR (2024)
Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen Wood
Weak Labeling for Cropland Mapping in Africa. CoRR (2024)
Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR (2024)
Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. IJCAI (2023)
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
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023)
Skyler Speakman, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan
Detecting Systematic Deviations in Data and Models. Computer 56 (2) (2023)
Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam
Domain-agnostic and Multi-level Evaluation of Generative Models. CoRR (2023)
Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III
Efficient Representation of the Activation Space in Deep Neural Networks. CoRR (2023)
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 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
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
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
Quantifying the impact of COVID-19 on essential health services: a comparison of interrupted time series analysis using Prophet and Poisson regression models. J. Am. Medical Informatics Assoc. 30 (4) (2023)
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 Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. CoRR (2022)
Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman
Sparsity-based Feature Selection for Anomalous Subgroup Discovery. CoRR (2022)
Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. Big Data (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4 (8) (2022)
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. 153 (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4 (10) (2022)
Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. ISBI (2022)
Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam, Md. Abrar Istiak, Taufiq Hasan, Andrea Cavallaro
BON: An extended public domain dataset for human activity recognition. CoRR (2022)
Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR (2022)
Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman
Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention. AMIA (2022)
John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman
Systematic Discovery of Bias in Data. Big Data (2022)
Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI (2022)
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
Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS (2021)
Amee Trivedi, William Ogallo, Girmaw Abebe Tadesse
Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings. MedInfo (2021)
Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant
Post-discovery Analysis of Anomalous Subsets. CoRR (2021)
Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill
Automatic Stratification of Tabular Health Data. AMIA (2021)
Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. CoRR (2021)
Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang', Aisha Walcott-Bryant
Automated Supervised Feature Selection for Differentiated Patterns of Care. CoRR (2021)
Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time. Artif. Intell. Medicine 121 (2021)
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR (2021)
Girmaw Abebe Tadesse, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu
DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time. CoRR (2021)
Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. AMIA (2021)
Girmaw Abebe Tadesse, Celia Cintas, Roxana Daneshjou, Kush R. Varshney, Peter Staar, Skyler Speakman, Kenya Andrews, Chinyere Agunwa, Justin Jia, Elizabeth E. Bailey, Jules Lipoff, Ginikanwa Onyekaba, Veronica Rotemberg, Ademide Adelekun, James Y. Zou
Racial Representation Analysis in Dermatology Academic Materials. AMIA (2021)
Girmaw Abebe Tadesse, Oliver Bent, Lucio Marcenaro, Komminist Weldemariam, Andrea Cavallaro
Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions]. IEEE Signal Process. Mag. 37 (3) (2020)
Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Tingting Zhu
A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms. EMBC (2020)
Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu
Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys. CoRR (2020)
Girmaw Abebe Tadesse, Komminist Weldemariam, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction. PKAW (2020)
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
Severity Detection Tool for Patients with Infectious Disease. CoRR (2019)
Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton
Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC (2019)
Girmaw Abebe Tadesse, Andrea Cavallaro
Visual features for ego-centric activity recognition: a survey. WearSys@MobiSys (2018)

Girmaw Abebe Tadesse.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Girmaw Abebe Tadesse