Krishna Pratap Singh

According to our database, Krishna Pratap Singh authored at least 46 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A nuclear norm-induced robust and lightweight relation network for few-shots classification of hyperspectral images.

Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur

Multim. Tools Appl., January, 2024

2023

AdamR-GRUs: Adaptive momentum-based Regularized GRU for HMER problems.

Aniket Pal, Krishna Pratap Singh

Appl. Soft Comput., August, 2023

A lightweight relation network for few-shots classification of hyperspectral images.

Anshul Mishra, Upendra Pratap Singh, Krishna Pratap Singh

Neural Comput. Appl., May, 2023

Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment.

Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh

CoRR, 2023

FAM: fast adaptive meta-learning.

Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh

CoRR, 2023

DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER.

Aniket Pal, Krishna Pratap Singh

CoRR, 2023

Learning to Learn with Indispensable Connections.

Sambhavi Tiwari, Manas Gogoi, Shekhar Verma, Krishna Pratap Singh

CoRR, 2023

A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models.

Anand Geed, Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Krishna Pratap Singh

Proceedings of the OITS International Conference on Information Technology, 2023

2022

NucNormZSL: nuclear norm-based domain adaptation in zero-shot learning.

Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur

Neural Comput. Appl., 2022

Multi-level shared-weight encoding for abstractive sentence summarization.

Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary

Neural Comput. Appl., 2022

R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition.

Aniket Pal, Krishna Pratap Singh

Multim. Tools Appl., 2022

ICE: Information coverage estimate for automatic evaluation abstractive summaries.

Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary

Expert Syst. Appl., 2022

MAC: A Meta-Learning Approach for Feature Learning and Recombination.

Sambhavi Tiwari, Manas Gogoi, Shekhar Verma, Krishna Pratap Singh

CoRR, 2022

Meta-DZSL: a meta-dictionary learning based approach to zero-shot recognition.

Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur

Appl. Intell., 2022

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate.

Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images.

Nikhil Ojha, Indrajeet Kumar Sinha, Krishna Pratap Singh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

MTFL: Multi-task Federated Learning for Classification of Healthcare X-Ray Images.

Priyush Kumar, Indrajeet Kumar Sinha, Krishna Pratap Singh

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021

Signature verification using geometrical features and artificial neural network classifier.

Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

Neural Comput. Appl., 2021

Multi-task learning using GNet features and SVM classifier for signature identification.

Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

IET Biom., 2021

Deep Hybrid Summarizer with Reinforced Sentence Selection.

Daisy Monika Lal, Ajay Kumar Singh, Krishna Pratap Singh

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Layer Freezing for Regulating Fine-tuning in BERT for Extractive Text Summarization.

M. D. Aaditya, Daisy Monika Lal, Krishna Pratap Singh, Muneendra Ojha

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform.

Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

Signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature.

Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020

Handwritten signature verification using shallow convolutional neural network.

Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh

Multim. Tools Appl., 2020

Temporal Differential Privacy in Wireless Sensor Networks.

Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh

J. Netw. Comput. Appl., 2020

Few Shots Learning: Caricature to Image Recognition Using Improved Relation Network.

Rashi Agrawal, Upendra Pratap Singh, Krishna Pratap Singh

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper).

Indrajeet Kumar Sinha, Krishna Pratap Singh, Shekhar Verma

Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020

2019

Differentially Private Location Privacy Preservation in Wireless Sensor Networks.

Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh

Wirel. Pers. Commun., 2019

A new patch and stitch algorithm for localization in wireless sensor networks.

Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh

Wirel. Networks, 2019

An Efficient Framework Using Normalized Dominance Operator for Multi-Objective Evolutionary Algorithms.

Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma

Int. J. Swarm Intell. Res., 2019

A review of multi-objective optimisation and decision making using evolutionary algorithms.

Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma

Int. J. Bio Inspired Comput., 2019

Self-taught Learning: Image Classification Using Stacked Autoencoders.

Upendra Pratap Singh, Swapnil Chavan, Sahil Hindwani, Krishna Pratap Singh

Proceedings of the Soft Computing for Problem Solving 2019, 2019

Highlighted Word Encoding for Abstractive Text Summarization.

Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary

Proceedings of the Intelligent Human Computer Interaction - 11th International Conference, 2019

2018

Staircase based differential privacy with branching mechanism for location privacy preservation in wireless sensor networks.

Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh

Comput. Secur., 2018

2017

Wireless Sensor Networks Localization Using Progressive Isomap.

Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh

Wirel. Pers. Commun., 2017

Long Short-Term Memory Recurrent Neural Network Architectures for Melody Generation.

Abhinav Mishra, Kshitij Tripathi, Lakshay Gupta, Krishna Pratap Singh

Proceedings of the Soft Computing for Problem Solving, 2017

Regularized Artificial Neural Network for Financial Data.

Rajat Gupta, Shrikant Gupta, Muneendra Ojha, Krishna Pratap Singh

Proceedings of the Soft Computing for Problem Solving, 2017

Flip Error Elimination and Core Map Selection in Patch and Stitch Algorithms for Localization in Wireless Sensor Network.

Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh

Proceedings of the 7th International Conference on Computer and Communication Technology, 2017

2016

SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction.

Raj Kumar, Krishna Pratap Singh

Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016

2015

An Aggregation Based Approach with Pareto Ranking in Multiobjective Genetic Algorithm.

Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma

Proceedings of Fifth International Conference on Soft Computing for Problem Solving, 2015

2014

Fuzzy-based interactive method for solution of bi- and multi-level programming problems.

Krishna Pratap Singh, Kusum Deep, Mitthan Lal Kansal

Int. J. Inf. Decis. Sci., 2014

Cuckoo Search Optimization for Job Shop Scheduling Problem.

Shekhar Singh, Krishna Pratap Singh

Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014

2011

An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment.

Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan

Expert Syst. Appl., 2011

2010

Global Optimization of Molecular Potential Energy Function Using a Real Coded Genetic Algorithm.

Shashi Barak, Kusum Deep, Krishna Pratap Singh, Vinod Kumar Katiyar

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009

A real coded genetic algorithm for solving integer and mixed integer optimization problems.

Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan

Appl. Math. Comput., 2009

2008

A Fuzzy Interactive Method for Multiobjective Engineering Design Problems.

Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal

Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008