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ORCIDAnkit Gupta 0018
Person information
- affiliation: Uppsala University, Department of Information Technology, Sweden
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
![[0000-0002-1483-1409]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1483-1409")
— 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 0014 — Thomas Jefferson High School for Science and Technology, Department of Computer Science, Alexandria, VI, USA
- 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
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2020 – today
- 2024
[j4]Tianru Zhang, Ankit Gupta, María Andreína Francisco Rodríguez, Ola Spjuth, Andreas Hellander, Salman Toor:
Data management of scientific applications in a reinforcement learning-based hierarchical storage system. Expert Syst. Appl. 237(Part B): 121443 (2024)- [j3]Ankit Gupta, Ida-Maria Sintorn:
Efficient high-resolution template matching with vector quantized nearest neighbour fields. Pattern Recognit. 151: 110386 (2024) - 2023
- [b1]Ankit Gupta:
Adapting Deep Learning for Microscopy: Interaction, Application, and Validation. Uppsala University, Sweden, 2023 - [j2]Philip J. Harrison, Ankit Gupta, Jonne Rietdijk, Håkan Wieslander, Jordi Carreras Puigvert, Polina Georgiev, Carolina Wählby, Ola Spjuth, Ida-Maria Sintorn:
Evaluating the utility of brightfield image data for mechanism of action prediction. PLoS Comput. Biol. 19(7) (2023) - [i2]Ankit Gupta, Ida-Maria Sintorn:
Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields. CoRR abs/2306.15010 (2023) - 2022
- [j1]Ankit Gupta, Alan Sabirsh, Carolina Wählby, Ida-Maria Sintorn:
SimSearch: A Human-in-The-Loop Learning Framework for Fast Detection of Regions of Interest in Microscopy Images. IEEE J. Biomed. Health Informatics 26(8): 4079-4089 (2022) - [c1]Ankit Gupta, Ida-Maria Sintorn:
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. ECCV Workshops (4) 2022: 437-453 - [i1]Ankit Gupta, Ida-Maria Sintorn:
Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks. CoRR abs/2210.11177 (2022)
Coauthor Index
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