Charles Elkan is affiliated with the University of California, San Diego in the United States. Their research spans multiple areas within computer science, with a focus on the development and application of machine learning techniques in remote sensing and educational technologies.
Elkan's recent scholarly contributions include the paper One-Class Remote Sensing Classification From Positive and Unlabeled Background Data published in 2020 in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Another recent work titled Gamified crowd-sourcing of high-quality data for visual fine-tuning appeared in 2024 on arXiv (Cornell University).
Their research topics cover a range of specialized and interdisciplinary fields. These include:
Elkan is active in several subfields of computer science:
They have collaborated regularly with co-authors including Wenkai Li, Qinghua Guo, Shashank Yadav, Rachana Tomar, and Gourav Jain.
Elkan's work has been published in venues such as:
In recognition of their research activities, Charles Elkan received the Hellman Fellowship in 1996.
Timothy L. Bailey;Charles Elkan
Charles Elkan
Zachary C. Lipton;John Berkowitz;Charles Elkan
Bianca Zadrozny;Charles Elkan
Charles Elkan;Keith Noto
Zachary C. Lipton;David C. Kale;Charles Elkan;Randall Wetzell
Greg Hamerly;Charles Elkan
Charles Elkan
Milton H. Saier;Ming Ren Yen;Keith Noto;Dorjee G. Tamang
Timothy L. Bailey;Charles Elkan
Timothy L. Bailey;Charles Elkan
Bianca Zadrozny;Charles Elkan
Alvaro E. Monge;Charles P. Elkan
Greg Hamerly;Charles Elkan
Zachary C. Lipton;David C. Kale;Charles Elkan;Randall Wetzel
Aditya Krishna Menon;Charles Elkan
Zachary C. Lipton;Charles Elkan;Balakrishnan Naryanaswamy
Bianca Zadrozny;Charles Elkan
Alvaro E. Monge;Charles Elkan
C. Elkan;H.R. Berenji;B. Chandrasekaran;C.J.S. de Silva
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