Girmaw Abebe Tadesse

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF Project Project

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

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gurel, 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, Debo Dutta, Curtis Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

Journal of Data-centric Machine Learning Research | May 2024

Publication

White Paper on AI and the Future of Work in Africa

Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, et.al.

May 2024

Publication Project

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

April 2024

Publication Project

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

March 2024

Publication Project Project Project

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

January 2024

Preprint DOI Project Project

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF Project Project

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

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gurel, 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, Debo Dutta, Curtis Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

Journal of Data-centric Machine Learning Research | May 2024

Publication

White Paper on AI and the Future of Work in Africa

Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, et.al.

May 2024

Publication Project

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

April 2024

Publication Project

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

March 2024

Publication Project Project Project

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

January 2024

Preprint DOI Project Project

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF Project Project

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

April 2024

Publication Project

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

March 2024

Publication Project Project Project

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

April 2024

Publication Project

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

January 2024

Preprint DOI Project Project

Bridging the gap: leveraging data science to equip domain experts with the tools to address challenges in maternal, newborn, and child health

Girmaw Abebe Tadesse, William Ogallo , Celia Cintas, Skyler Speakman, Aisha Walcott-Bryant , Charity Wayua

npj Womens Health | May 2024

Publication DOI PDF Project Project

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

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gurel, 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, Debo Dutta, Curtis Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

Journal of Data-centric Machine Learning Research | May 2024

Publication

White Paper on AI and the Future of Work in Africa

Jacki O'Neill, Vukosi Marivate, Barbara Glover, Winnie Karanu, Girmaw Abebe Tadesse, et.al.

May 2024

Publication Project

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

April 2024

Publication Project

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

March 2024

Publication Project Project Project

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

January 2024

Preprint DOI Project Project