Girmaw Abebe Tadesse

62 papers A* 3B 2C 2Misc 4Journal 38Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India. AAAI Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2026	J	`jnl`	Satellite-Based Detection of Looted Archaeological Sites Using Machine Learning. CoRR Girmaw Abebe Tadesse, Titien Bartette, Andrew Hassanali, Allen Kim, Jonathan Chemla, Andrew Zolli, Yves Ubelmann, Caleb Robinson, Inbal Becker-Reshef, Juan M. Lavista Ferres
2025	—	`conf`	Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. CVPR Workshops Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Enhancing Food Security With High-Quality Land-Use and Land-Cover Maps: A Local Model Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 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
2025	J	`jnl`	GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language Models. CoRR Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Caleb Robinson, Akram Zaytar, Rahul Dodhia, Juan M. Lavista Ferres
2025	—	`conf`	Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. TerraBytes Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Gilles Quentin Hacheme, Tammy Glazer, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data. CoRR Akram Zaytar, Caleb Robinson, Girmaw Abebe Tadesse, Tammy Glazer, Gilles Quentin Hacheme, Anthony Ortiz, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	Remote Sensing Reveals Adoption of Sustainable Rice Farming Practices Across Punjab, India. CoRR Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2025	J	`jnl`	TEMPO: Global Temporal Building Density and Height Estimation from Satellite Imagery. CoRR Tammy Glazer, Gilles Quentin Hacheme, Akram Zaytar, Luana Marotti, Amy Michaels, Girmaw Abebe Tadesse, Kevin White, Rahul Dodhia, Andrew Zolli, Inbal Becker-Reshef, Juan M. Lavista Ferres, Caleb Robinson
2024	J	`jnl`	AI and the Future of Work in Africa White Paper. CoRR 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, Sarah Spencer, Daniel Kandie, Dennis Ndege Maari, Natasha Mutangana, Maxamed Axmed, Nyambura Kamau, Muhammad Adamu, Frank Swaniker, Brian Gatuguti, Jonathan Donner, Mark Graham, Janet Mumo, Caroline Mbindyo, Charlette N'Guessan, Irene Githinji, Lesego Makhafola, Sean Kruger, Olivia Etyang, Mulang Onando, Joe Sevilla, Nanjira Sambuli, Martin Mbaya, Paul Breloff, Gideon M. Anapey, Tebogo L. Mogaleemang, Tiyani Nghonyama, Muthoni Wanyoike, Bhekani Mbuli, Lawrence Nderu, Wambui Nyabero, Uzma Alam, Kayode Olaleye, Caroline Njenga, Abigail Sellen, David Kairo, Rutendo Chabikwa, Najeeb G. Abdulhamid, Ketry Kubasu, Chinasa T. Okolo, Eugenia Akpo, Joel Budu, Issa Karambal, Joseph Berkoh, William Wasswa, Mercy Muchai, Rob Burnet, Loise Ochanda, Hanlie de Bod, Elizabeth A. Ankrah, Selemani Kinyunyu, Mutembei Kariuki, Kizito Kiyimba, Farida Eleshin, Lillian Secelela Madeje, Catherine Muraga, Ida Nganga, Judy Gichoya, Tabbz Maina, Samuel C. Maina, Muchai Mercy, Millicent Ochieng, Stephanie Nyairo
2024	—	`conf`	Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. STAI@IJCAI Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024	J	`jnl`	Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning. CoRR Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Akram Zaytar, Rahul Dodhia, Tsering Wangyal Shawa, Juan M. Lavista Ferres, Emmanuel H. Kreike
2024	J	`jnl`	Bootstrapping Rare Object Detection in High-Resolution Satellite Imagery. CoRR Akram Zaytar, Caleb Robinson, Gilles Quentin Hacheme, Girmaw Abebe Tadesse, Rahul Dodhia, Juan M. Lavista Ferres, Lacey F. Hughey, Jared A. Stabach, Irene Amoke
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. 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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024	J	`jnl`	Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation. CoRR Burak Ekim, Girmaw Abebe Tadesse, Caleb Robinson, Gilles Quentin Hacheme, Michael Schmitt, Rahul Dodhia, Juan M. Lavista Ferres
2024	—	`conf`	Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. ISBI Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi
2024	J	`jnl`	Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps. CoRR Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres
2024	J	`jnl`	Sims: An Interactive Tool for Geospatial Matching and Clustering. CoRR Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Eduardo G. Bendito, Medha Devare, Meklit Chernet, Gilles Quentin Hacheme, Rahul Dodhia, Juan M. Lavista Ferres
2024	C	`conf`	Weak Labeling for Cropland Mapping in Africa. IGARSS Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2024	J	`jnl`	Weak Labeling for Cropland Mapping in Africa. CoRR Gilles Quentin Hacheme, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, Stephen A. Wood
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR 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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	J	`jnl`	Detecting Systematic Deviations in Data and Models. Computer Skyler Speakman, Girmaw Abebe Tadesse, Celia Cintas, William Ogallo, Tanya Akumu, Adebayo Oshingbesan
2023	J	`jnl`	Domain-agnostic and Multi-level Evaluation of Generative Models. CoRR Girmaw Abebe Tadesse, Jannis Born, Celia Cintas, William Ogallo, Dmitry Zubarev, Matteo Manica, Komminist Weldemariam
2023	J	`jnl`	Efficient Representation of the Activation Space in Deep Neural Networks. CoRR Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse, Adebayo Oshingbesan, Skyler Speakman, Edward McFowland III
2023	J	`jnl`	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. 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
2023	J	`jnl`	Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 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
2023	A*	`conf`	Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. IJCAI Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman
2022	J	`jnl`	Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
2022	J	`jnl`	Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
2022	J	`jnl`	BON: An extended public domain dataset for human activity recognition. CoRR Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam, Md. Abrar Istiak, Taufiq Hasan, Andrea Cavallaro
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 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
2022	B	`conf`	Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. IEEE Big Data Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman
2022	J	`jnl`	Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. CoRR Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman
2022	—	`conf`	Out-of-Distribution Detection in Dermatology Using Input Perturbation and Subset Scanning. ISBI Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
2022	J	`jnl`	Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
2022	Misc	`conf`	Principled Subpopulation Analysis of the BetterBirth Study and the Impact of WHO's Safe Childbirth Checklist Intervention. AMIA Girmaw Abebe Tadesse, Megan Marx Delaney, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Katherine Semrau, Skyler Speakman
2022	J	`jnl`	Sparsity-based Feature Selection for Anomalous Subgroup Discovery. CoRR Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru, Charles Wachira, Isaiah Onando Mulang', Vibha Anand, Aisha Walcott-Bryant, Skyler Speakman
2022	B	`conf`	Systematic Discovery of Bias in Data. IEEE Big Data John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman
2022	A*	`conf`	Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning. IJCAI Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
2022	J	`jnl`	Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
2021	J	`jnl`	Automated Supervised Feature Selection for Differentiated Patterns of Care. CoRR Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse, Charles Wachira, Isaiah Onando Mulang', Aisha Walcott-Bryant
2021	Misc	`conf`	Automatic Stratification of Tabular Health Data. AMIA Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, William Ogallo, Claire-Helene Mershon, Nosa Orobaton, Daniel B. Neill
2021	Misc	`conf`	Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies. AMIA Celia Cintas, Victor Akinwande, Ramya Raghavendra, Girmaw Abebe Tadesse, Aisha Walcott, Charity Wayua, Fredrick Makumbi, Rhoda Wanyenze, Komminist Weldemariam
2021	J	`jnl`	DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time. CoRR Girmaw Abebe Tadesse, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Komminist Weldemariam, Tingting Zhu
2021	J	`jnl`	DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time. Artif. Intell. Medicine Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
2021	—	`conf`	Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings. MedInfo Amee Trivedi, William Ogallo, Girmaw Abebe Tadesse
2021	—	`conf`	Machine Learning for Health (ML4H) 2021. ML4H@NeurIPS 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
2021	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. ML4H@NeurIPS Subhrajit Roy, Stephen Pfohl, Emma Rocheteau, Girmaw Abebe Tadesse, Luis Oala, Fabian Falck, Yuyin Zhou, Liyue Shen, Ghada Zamzmi, Purity Mugambi, Ayah Zirikly, Matthew B. A. McDermott, Emily Alsentzer
2021	J	`jnl`	Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning. CoRR Hannah Kim, Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Kush R. Varshney
2021	J	`jnl`	Pattern Detection in the Activation Space for Identifying Synthesized Content. CoRR Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
2021	J	`jnl`	Post-discovery Analysis of Anomalous Subsets. CoRR Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant
2021	Misc	`conf`	Racial Representation Analysis in Dermatology Academic Materials. AMIA 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, Veronica Rotemberg, Ademide Adelekun, James Y. Zou
2020	—	`conf`	A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms. EMBC Girmaw Abebe Tadesse, Hamza A. Javed, Komminist Weldemariam, Tingting Zhu
2020	C	`conf`	Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction. PKAW Girmaw Abebe Tadesse, Komminist Weldemariam, Hamza A. Javed, Yong Liu, Jin Liu, Jiyan Chen, Tingting Zhu
2020	J	`jnl`	Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics Girmaw Abebe Tadesse, Hamza A. Javed, Nhan Le Nguyen Thanh, Ha Thi Hai Duong, Le Van Tan, Louise Thwaites, David A. Clifton, Tingting Zhu
2020	J	`jnl`	PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics Dani Kiyasseh, Girmaw Abebe Tadesse, Nhan Le Nguyen Thanh, Le Van Tan, Louise Thwaites, Tingting Zhu, David A. Clifton
2020	J	`jnl`	Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys. CoRR Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam
2020	J	`jnl`	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. Girmaw Abebe Tadesse, Oliver Bent, Lucio Marcenaro, Komminist Weldemariam, Andrea Cavallaro
2019	—	`conf`	Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC Girmaw Abebe Tadesse, Tingting Zhu, Yong Liu, Yingling Zhou, Jiyan Chen, Maoyi Tian, David A. Clifton
2019	J	`jnl`	Severity Detection Tool for Patients with Infectious Disease. CoRR 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
2018	—	`—`	Human activity recognition using a wearable camera. Girmaw Abebe Tadesse
2018	—	`conf`	Visual features for ego-centric activity recognition: a survey. WearSys@MobiSys Girmaw Abebe Tadesse, Andrea Cavallaro