Scholar
Corinna Cortes
Google Scholar ID: U_IVY50AAAAJ
Google Research, NY
Citations & Impact
Citations
52,306
H-index
44
i10-index
94
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Well-known for her contributions to the theoretical foundations of support vector machines (SVMs), for which she jointly with Vladimir Vapnik received the 2008 Paris Kanellakis Theory and Practice Award. Also recognized for her work on data-mining in very large data sets, for which she was awarded the AT&T Science & Engineering Award.
Research Experience
- Prior to Google, spent over ten years at AT&T Labs - Research, formerly AT&T Bell Labs, where she held a distinguished research position.
Background
- VP in Google Research, working on a broad range of theoretical and applied large-scale machine learning problems.
