Robust multi-dimensional motion features for first-person vision activity recognition. - Girmaw Abebe; Andrea Cavallaro; Xavier Parra (Comput. Vis. Image Underst., 2016)

A Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition. - Girmaw Abebe; Andrea Cavallaro (ICCV Workshops, 2017)

Inertial-Vision: Cross-Domain Knowledge Transfer for Wearable Sensors. - Girmaw Abebe; Andrea Cavallaro (ICCV Workshops, 2017)

Hierarchical modeling for first-person vision activity recognition. - Girmaw Abebe; Andrea Cavallaro (Neurocomputing, 2017)

Visual features for ego-centric activity recognition: a survey. - Girmaw Abebe Tadesse; Andrea Cavallaro (WearSys@MobiSys, 2018)

A First-Person Vision Dataset of Office Activities. - Girmaw Abebe; Andreu Català; Andrea Cavallaro (MPRSS, 2018)

Human activity recognition using a wearable camera. - Girmaw Abebe Tadesse (2018)

Cardiovascular disease diagnosis using cross-domain transfer learning. - Girmaw Abebe Tadesse; Tingting Zhu 001; Yong Liu; Yingling Zhou; Jiyan Chen; Maoyi Tian; David A. Clifton (EMBC, 2019)

Severity Detection Tool for Patients with Infectious Disease. - Girmaw Abebe Tadesse; Tingting Zhu 001; 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; et al. (CoRR, 2019)

A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms. - Girmaw Abebe Tadesse; Hamza A. Javed; Komminist Weldemariam; Tingting Zhu 001 (EMBC, 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 001 (PKAW, 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)

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)

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 001; David A. Clifton (IEEE J. Biomed. Health Informatics, 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 001 (IEEE J. Biomed. Health Informatics, 2020)

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 (AMIA, 2021)

Automatic Stratification of Tabular Health Data. - Skyler Speakman; Girmaw Abebe Tadesse; Victor Akinwande; William Ogallo; Claire-Helene Mershon; Nosa Orobaton; Daniel B. Neill (AMIA, 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 S. Andrews; Chinyere Agunwa; Justin Jia; Elizabeth E. Bailey; Jules Lipoff; Ginikanwa Onyekaba; et al. (AMIA, 2021)

Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings. - Amee Trivedi; William Ogallo; Girmaw Abebe Tadesse (MedInfo, 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 (ML4H@NeurIPS, 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 001 (Artif. Intell. Medicine, 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)

Post-discovery Analysis of Anomalous Subsets. - Isaiah Onando Mulang'; William Ogallo; Girmaw Abebe Tadesse; Aisha Walcott-Bryant (CoRR, 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)

BON - Egocentric Vision Dataset for Office Activity Recognition. - Girmaw Abebe Tadesse; Oliver Bent; Komminist Weldemariam; Md. Abrar Istiak; Taufiq Hasan (IEEE DataPort, 2021)

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 (AMIA, 2022)

Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. - Girmaw Abebe Tadesse; William Ogallo; Celia Cintas; Skyler Speakman (IEEE Big Data, 2022)

Systematic Discovery of Bias in Data. - John Wamburu; Girmaw Abebe Tadesse; Celia Cintas; Adebayo Oshingbesan; Tanya Akumu; Skyler Speakman (IEEE Big Data, 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 (IJCAI, 2022)

Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. - Hannah Kim 002; Girmaw Abebe Tadesse; Celia Cintas; Skyler Speakman; Kush R. Varshney (ISBI, 2022)

Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 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)

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)

Advances, challenges and opportunities in creating data for trustworthy AI. - Weixin Liang; Girmaw Abebe Tadesse; Daniel E. Ho; Li Fei-Fei 001; Matei Zaharia; Ce Zhang 001; James Zou 001 (Nat. Mach. Intell., 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)

Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. - Weixin Liang; Girmaw Abebe Tadesse; Daniel E. Ho; Li Fei-Fei 001; Matei Zaharia; Ce Zhang 001; James Zou 001 (Nat. Mac. Intell., 2022)

Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. - Hannah Kim 002; Celia Cintas; Girmaw Abebe Tadesse; Skyler Speakman (IJCAI, 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)

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 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 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)

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; et al. (npj Digit. Medicine, 2023)

Detecting Systematic Deviations in Data and Models. - Skyler Speakman; Girmaw Abebe Tadesse; Celia Cintas; William Ogallo; Tanya Akumu; Adebayo Oshingbesan (Computer, 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; et al. (J. Am. Medical Informatics Assoc., 2023)

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 (IGARSS, 2024)

Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. - Assala Benmalek; Celia Cintas; Girmaw Abebe Tadesse; Roxana Daneshjou; Kush R. Varshney; Dalila Cherifi (ISBI, 2024)

Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. - Girmaw Abebe Tadesse; Caleb Robinson; Gilles Quentin Hacheme; Akram Zaytar; Rahul Dodhia; Tsering Wangyal Shawa; Juan M. Lavista Ferres; Emmanuel H. Kreike (STAI@IJCAI, 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)

AI and the Future of Work in Africa White Paper. - Jacki O'Neill; Vukosi Marivate; Barbara Glover; Winnie Karanu; Girmaw Abebe Tadesse; Akua Gyekye; Anne Makena; Wesley Rosslyn-Smith; Matthew Grollnek; Charity Wayua; Rehema Baguma; Angel Maduke; et al. (CoRR, 2024)

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. - Girmaw Abebe Tadesse; Caleb Robinson; Charles Mwangi; Esther Maina; Joshua Nyakundi; Luana Marotti; Gilles Quentin Hacheme; Hamed Alemohammad; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2024)

Sims: An Interactive Tool for Geospatial Matching and Clustering. - Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Eduardo G. Bendito; Medha Devare; Meklit Chernet; Gilles Quentin Hacheme; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2024)

Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. - Burak Ekim; Girmaw Abebe Tadesse; Caleb Robinson; Gilles Quentin Hacheme; Michael Schmitt 003; Rahul Dodhia; Juan M. Lavista Ferres (CVPR Workshops, 2025)

Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach. - Girmaw Abebe Tadesse; Caleb Robinson; Charles Mwangi; Esther Maina; Joshua Nyakundi; Luana Marotti; Gilles Quentin Hacheme; Seyed Hamed Alemohammad; Rahul Dodhia; Juan M. Lavista Ferres (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models. - Gilles Quentin Hacheme; Girmaw Abebe Tadesse; Caleb Robinson; Akram Zaytar; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. - Akram Zaytar; Caleb Robinson; Girmaw Abebe Tadesse; Tammy Glazer; Gilles Quentin Hacheme; Anthony Ortiz; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)

Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India. - Ando Shah; Rajveer Singh; Akram Zaytar; Girmaw Abebe Tadesse; Caleb Robinson; Negar Tafti; Stephen Wood; Rahul Dodhia; Juan M. Lavista Ferres (CoRR, 2025)