Krishna Pratap Singh

About

I am working as a Professor in the Department of Information Technology at Indian Institute of Information Technology Allahabad. I completed my Ph.D. in Optimization from Indian Institute of Technology Roorkee in 2009. My research interests include Machine Learning, Deep Learning, Transfer Learning, Continual Learning, Safe AI, Optimization, and their applications in Computer Vision and Natural Language Processing (NLP).

Employment

• Indian Institute of Information Technology Professor
  2009 - Present

Education

• Indian Institute of Technology Roorkee PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (38)

• Handwritten signature verification using shallow convolutional neural network
  Multimedia Tools and Applications 2020 DOI: 10.1007/s11042-020-08728-6
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• Highlighted Word Encoding for Abstractive Text Summarization
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020 DOI: 10.1007/978-3-030-44689-5_7
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• Self-taught Learning: Image Classification Using Stacked Autoencoders
  Advances in Intelligent Systems and Computing 2020 DOI: 10.1007/978-981-15-3290-0_1
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• Signature verification using geometrical features and artificial neural network classifier
  Neural Computing and Applications 2020 DOI: 10.1007/s00521-020-05473-7
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• Temporal Differential Privacy in Wireless Sensor Networks
  Journal of Network and Computer Applications 2020 DOI: 10.1016/j.jnca.2020.102548
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• DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper)
  Proceedings - 2020 IEEE 6th International Conference on Multimedia Big Data, BigMM 2020 2020 DOI: 10.1109/BigMM50055.2020.00061
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• Improved coupled autoencoder based zero shot recognition using active learning
  2019 IEEE Conference on Information and Communication Technology, CICT 2019 2019 DOI: 10.1109/CICT48419.2019.9066127
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• Regularized artificial neural network for financial data
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1592-3_59
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• Long short-term memory recurrent neural network architectures for melody generation
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1595-4_4
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• Information theoretic analysis of privacy in a multiple query-response based differentially private framework
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-2372-0_23
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