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Ankit Gupta 0014
Person information
- affiliation: Thomas Jefferson High School for Science and Technology, Department of Computer Science, Alexandria, VI, USA
Other persons with the same name
- Ankit Gupta — disambiguation page
- Ankit Gupta 0001 — IBM Research, New York, USA (and 2 more)
- Ankit Gupta 0002 — University of Washington, Department of Computer Science and Engineering, Seattle, Washington, USA
- Ankit Gupta 0003 — Samsung (and 1 more)
- Ankit Gupta 0004 — Chandigarh College of Engineering and Technology, India (and 1 more)
- Ankit Gupta 0005 — Chalmers University of Technology, Gothenburg, Sweden
- Ankit Gupta 0006 — Shoolini University, School of Electrical and Computer Science Engineering, Solan, India (and 2 more)
- Ankit Gupta 0007 — University of Illinois at Chicago, Department of Electrical and Computer Engineering, IL, USA
- Ankit Gupta 0008 — Heriot Watt University, Edinburgh, UK
- Ankit Gupta 0009 — Indian Institute of Technology (Banaras Hindu University) Varanasi, India (and 1 more)
- Ankit Gupta 0010 — Samsung Semiconductor India Research and Development
- Ankit Gupta 0011 — Intel, Bangalore, India
- Ankit Gupta 0012 — Simon Fraser University, School of Interactive Arts and Technology, Surrey, BC, Canada
- Ankit Gupta 0013 — ETH Zürich, Department of Biosystems Science and Engineering, Basel, Switzerland (and 1 more)
- Ankit Gupta 0015 — Yale University, New Haven, CT, USA
- Ankit Gupta 0016 — Worcester Polytechnic Institute, Worcester, MA, USA
- Ankit Gupta 0017 — Amazon Web Services, Seattle, WA, USA
- Ankit Gupta 0018 — Uppsala University, Department of Information Technology, Sweden
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2010 – 2019
- 2019
- [i4]Ankit Gupta:
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision. CoRR abs/1907.05358 (2019) - [i3]Ankit Gupta, Elliott Ruebush:
AquaSight: Automatic Water Impurity Detection Utilizing Convolutional Neural Networks. CoRR abs/1907.07573 (2019) - [i2]Ankit Gupta, Kartik Chugh, Andrea Solis, Thomas D. LaToza:
User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features. CoRR abs/1907.07679 (2019) - [i1]Ayush Hariharan, Ankit Gupta, Trisha Pal:
CAMLPAD: Cybersecurity Autonomous Machine Learning Platform for Anomaly Detection. CoRR abs/1907.10442 (2019)
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last updated on 2024-10-23 21:24 CEST by the dblp team
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