Surbhi Agrawal

Employment

• RVITM Associate Professor
  2021 - Present
• Dayananda Sagar University Associate Professor
  2021 - 2021
• Indian Institute of Information Technology Assistant Professor
  2020 - 2021
• iNurture Education Solutions Pvt Ltd Senior Faculty
  2019 - 2019
• PESIT-SOUTH CAMPUS ASSISTANT PROFESSOR
  2011 - 2019
• East Point College of Engineering and Technology LECTURER
  2008 - 2011
• New Horizon College of Engineering LECTURER
  2007 - 2008
• IITM,GWALIOR LECTURER
  2003 - 2007
• RV Institute of Technology & Management Head of the Department

Education

• PESIT, BANGALORE SOUTH CAMPUS PH.D
• Bangalore Institute of Technology M.Tech, CS
• ITM University-Gwalior B.E. , CSE

Projects & Funding

Projects & funding information is unavailable.

Publications (27)

• WGAN for Data Augmentation
  GANs for Data Augmentation in Healthcare 2023 6 citations DOI: 10.1007/978-3-031-43205-7_13
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• Data Augmentation Approaches Using Cycle Consistent Adversarial Networks
  GANs for Data Augmentation in Healthcare 2023 1 citation DOI: 10.1007/978-3-031-43205-7_7
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• L1 norm SVD-based ranking scheme: A novel method in big data mining
  Advances in Intelligent Systems and Computing 2021 0 citations DOI: 10.1007/978-981-15-5285-4_2
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• Quantifying the classification of exoplanets: In search for the right habitability metric
  arXiv 2021 DOI: 10.48550/arxiv.2104.02991
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• Quantifying the classification of exoplanets: In search for the right habitability metric
  arXiv 2021
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• Quantifying the classification of exoplanets: in search for the right habitability metric
  European Physical Journal: Special Topics 2021 8 citations DOI: 10.1140/epjs/s11734-021-00211-z
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• Machine learning approaches for supernovae classification
  Cognitive Analytics: Concepts, Methodologies, Tools, and Applications 2020 0 citations DOI: 10.4018/978-1-7998-2460-2.ch016
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• Machine Learning Based Analysis of Gravitational Waves
  Communications in Computer and Information Science 2020 1 citation DOI: 10.1007/978-981-33-6463-9_13
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• CEESA meets machine learning: A Constant Elasticity Earth Similarity Approach to habitability and classification of exoplanets
  Astronomy and Computing 2020 16 citations DOI: 10.1016/j.ascom.2019.100335
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• CeESA: A habitability score computation approach validated by machine learning
  Proceedings of the International Astronautical Congress, IAC 2019
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