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Girmaw Abebe
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2020 – today
- 2024
- [c21]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. IGARSS 2024: 258-262 - [c20]Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi:
Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. ISBI 2024: 1-5 - [i18]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 abs/2401.07014 (2024) - [i17]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 abs/2403.02736 (2024) - [i16]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 abs/2404.08544 (2024) - 2023
- [j12]Skyler Speakman
, Girmaw Abebe Tadesse
Detecting Systematic Deviations in Data and Models. Computer 56(2): 82-92 (2023) - [j11]William Ogallo, Irene Wanyana, Girmaw Abebe Tadesse, Catherine Wanjiru, Victor Akinwande, Steven Kabwama, Sekou Lionel Remy
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): 634-642 (2023) - [j10]Girmaw Abebe Tadesse, Celia Cintas
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023) - [c19]Hannah Kim, Celia Cintas
Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. IJCAI 2023: 965-973 - [i15]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 abs/2301.08750 (2023) - [i14]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:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - [i13]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 abs/2312.08143 (2023) - 2022
- [j9]Weixin Liang, Girmaw Abebe Tadesse
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4(8): 669-677 (2022) - [j8]Weixin Liang, Girmaw Abebe Tadesse
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4(10): 904 (2022) - [j7]Celia Cintas
Pattern detection in the activation space for identifying synthesized content. Pattern Recognit. Lett. 153: 207-213 (2022) - [c18]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 - [c17]John Wamburu, Girmaw Abebe Tadesse, Celia Cintas, Adebayo Oshingbesan, Tanya Akumu, Skyler Speakman:
Systematic Discovery of Bias in Data. IEEE Big Data 2022: 4719-4725 - [c16]Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman:
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. IEEE Big Data 2022: 6039-6047 - [c15]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: 4929-4935 - [c14]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: 1-4 - [c13]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:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [i12]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 abs/2201.02008 (2022) - [i11]Celia Cintas, Payel Das, Brian Quanz
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning. CoRR abs/2203.00523 (2022) - [i10]Girmaw Abebe Tadesse, William Ogallo, Celia Cintas, Skyler Speakman:
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data. CoRR abs/2203.04386 (2022) - [i9]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 abs/2209.05077 (2022) - 2021
- [j6]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: 102192 (2021) - [c12]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 - [c11]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 - [c10]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:
Racial Representation Analysis in Dermatology Academic Materials. AMIA 2021 - [c9]Amee Trivedi, William Ogallo, Girmaw Abebe Tadesse:
Hierarchical Representation of Complex Intervention Sequences for Automated Subgroup Analysis in Critical Care Settings. MedInfo 2021: 789-793 - [c8]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: 1-12 - [e1]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:
Machine Learning for Health, ML4H@NeurIPS 2021, 04 December 2021, Virtual Event. Proceedings of Machine Learning Research 158, PMLR 2021 [contents] - [d1]Girmaw Abebe Tadesse, Oliver Bent, Komminist Weldemariam, Md. Abrar Istiak
BON - Egocentric Vision Dataset for Office Activity Recognition. IEEE DataPort, 2021 - [i8]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 abs/2104.02054 (2021) - [i7]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 abs/2105.11160 (2021) - [i6]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 abs/2105.12479 (2021) - [i5]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 abs/2111.03495 (2021) - [i4]Isaiah Onando Mulang', William Ogallo, Girmaw Abebe Tadesse, Aisha Walcott-Bryant:
Post-discovery Analysis of Anomalous Subsets. CoRR abs/2111.14622 (2021) - [i3]Fabian Falck, Yuyin Zhou, Emma Rocheteau, Liyue Shen, Luis Oala, Girmaw Abebe, Subhrajit Roy, Stephen Pfohl, Emily Alsentzer, Matthew B. A. McDermott:
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. CoRR abs/2112.00179 (2021) - 2020
- [j5]Girmaw Abebe Tadesse
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): 168-172 (2020) - [j4]Girmaw Abebe Tadesse
Multi-Modal Diagnosis of Infectious Diseases in the Developing World. IEEE J. Biomed. Health Informatics 24(7): 2131-2141 (2020) - [j3]Dani Kiyasseh
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings. IEEE J. Biomed. Health Informatics 24(11): 3226-3235 (2020) - [c7]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: 6009-6012 - [c6]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: 70-82 - [i2]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 abs/2011.12707 (2020)
2010 – 2019
- 2019
- [c5]Girmaw Abebe Tadesse, Tingting Zhu
Cardiovascular disease diagnosis using cross-domain transfer learning. EMBC 2019: 4262-4265 - [i1]Girmaw Abebe Tadesse, Tingting Zhu
Severity Detection Tool for Patients with Infectious Disease. CoRR abs/1912.05345 (2019) - 2018
- [b1]Girmaw Abebe Tadesse:
Human activity recognition using a wearable camera. Queen Mary University of London, UK, 2018 - [c4]Girmaw Abebe Tadesse, Andrea Cavallaro:
Visual features for ego-centric activity recognition: a survey. WearSys@MobiSys 2018: 48-53 - [c3]Girmaw Abebe, Andreu Català
A First-Person Vision Dataset of Office Activities. MPRSS 2018: 27-37 - 2017
- [j2]Girmaw Abebe, Andrea Cavallaro:
Hierarchical modeling for first-person vision activity recognition. Neurocomputing 267: 362-377 (2017) - [c2]Girmaw Abebe, Andrea Cavallaro:
A Long Short-Term Memory Convolutional Neural Network for First-Person Vision Activity Recognition. ICCV Workshops 2017: 1339-1346 - [c1]Girmaw Abebe, Andrea Cavallaro:
Inertial-Vision: Cross-Domain Knowledge Transfer for Wearable Sensors. ICCV Workshops 2017: 1392-1400 - 2016
- [j1]Girmaw Abebe, Andrea Cavallaro, Xavier Parra
Robust multi-dimensional motion features for first-person vision activity recognition. Comput. Vis. Image Underst. 149: 229-248 (2016)
Coauthor Index
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