Krishna Pratap Singh

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 42

Top Topics

Handwritten Signature Verification

Differential Privacy

Hyperspectral Images

Top Venues

Neural Comput. Appl.

Multim. Tools Appl.

Publications

Sambhavi Tiwari, Manas Gogoi, Shekhar Verma, Krishna Pratap Singh
MAC: a meta-learning approach for feature learning and recombination. Pattern Anal. Appl. 27 (2) (2024)
Jyotirmay Mahapatra, Prem Shanker Tiwari, Krishna Pratap Singh, Balaji Murhari Nandede, Ramesh K. Sahni, Vikas Pagare, Jagjeet Singh, D. J. Shrinivasa, Sandip Mandal
An Adjustable Pneumatic Planter with Reduced Source Vibration for Better Precision in Field Seeding. Sensors 24 (11) (2024)
Harsha Putla, Chanakya Patibandla, Krishna Pratap Singh, P. Nagabhushan
A Pilot Study of Observation Poisoning on Selective Reincarnation in Multi-Agent Reinforcement Learning. Neural Process. Lett. 56 (3) (2024)
Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur
A nuclear norm-induced robust and lightweight relation network for few-shots classification of hyperspectral images. Multim. Tools Appl. 83 (3) (2024)
Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh
Equitable-FL: Federated Learning with Sparsity for Resource-Constrained Environment. CoRR (2023)
Indrajeet Kumar Sinha, Shekhar Verma, Krishna Pratap Singh
FAM: fast adaptive meta-learning. CoRR (2023)
Anshul Mishra, Upendra Pratap Singh, Krishna Pratap Singh
A lightweight relation network for few-shots classification of hyperspectral images. Neural Comput. Appl. 35 (15) (2023)
Sambhavi Tiwari, Manas Gogoi, Shekhar Verma, Krishna Pratap Singh
Learning to Learn with Indispensable Connections. CoRR (2023)
Aniket Pal, Krishna Pratap Singh
DenseBAM-GI: Attention Augmented DeneseNet with momentum aided GRU for HMER. CoRR (2023)
Anand Geed, Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Krishna Pratap Singh
A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. OCIT (2023)
Aniket Pal, Krishna Pratap Singh
AdamR-GRUs: Adaptive momentum-based Regularized GRU for HMER problems. Appl. Soft Comput. 143 (2023)
Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur
NucNormZSL: nuclear norm-based domain adaptation in zero-shot learning. Neural Comput. Appl. 34 (3) (2022)
Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary
ICE: Information coverage estimate for automatic evaluation abstractive summaries. Expert Syst. Appl. 189 (2022)
Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. ICONIP (5) (2022)
Aniket Pal, Krishna Pratap Singh
R-GRU: Regularized gated recurrent unit for handwritten mathematical expression recognition. Multim. Tools Appl. 81 (22) (2022)
Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary
Multi-level shared-weight encoding for abstractive sentence summarization. Neural Comput. Appl. 34 (4) (2022)
Priyush Kumar, Indrajeet Kumar Sinha, Krishna Pratap Singh
MTFL: Multi-task Federated Learning for Classification of Healthcare X-Ray Images. CVIP (2) (2022)
Upendra Pratap Singh, Krishna Pratap Singh, Manoj Thakur
Meta-DZSL: a meta-dictionary learning based approach to zero-shot recognition. Appl. Intell. 52 (14) (2022)
Nikhil Ojha, Indrajeet Kumar Sinha, Krishna Pratap Singh
VAE-AD: Unsupervised Variational Autoencoder for Anomaly Detection in Hyperspectral Images. ICONIP (7) (2022)
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Signature Verification using Geometrical Features and Artificial Neural Network Classifier. CoRR (2021)
Daisy Monika Lal, Ajay Kumar Singh, Krishna Pratap Singh
Deep Hybrid Summarizer with Reinforced Sentence Selection. PACIS (2021)
Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh
Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. IEA/AIE (2) (2021)
M. D. Aaditya, Daisy Monika Lal, Krishna Pratap Singh, Muneendra Ojha
Layer Freezing for Regulating Fine-tuning in BERT for Extractive Text Summarization. PACIS (2021)
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Multi-task learning using GNet features and SVM classifier for signature identification. IET Biom. 10 (2) (2021)
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Signature Based Authentication: A Multi-label Classification Approach to Detect the Language and Forged Sample in Signature. CVIP (1) (2021)
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Signature verification using geometrical features and artificial neural network classifier. Neural Comput. Appl. 33 (12) (2021)
Indrajeet Kumar Sinha, Krishna Pratap Singh, Shekhar Verma
DP-ANN: A new Differential Private Artificial Neural Network with Application on Health data (Workshop Paper). BigMM (2020)
Anamika Jain, Satish Kumar Singh, Krishna Pratap Singh
Handwritten signature verification using shallow convolutional neural network. Multim. Tools Appl. 79 (27-28) (2020)
Rashi Agrawal, Upendra Pratap Singh, Krishna Pratap Singh
Few Shots Learning: Caricature to Image Recognition Using Improved Relation Network. CVIP (3) (2020)
Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh
Temporal Differential Privacy in Wireless Sensor Networks. J. Netw. Comput. Appl. 155 (2020)
Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma
A review of multi-objective optimisation and decision making using evolutionary algorithms. Int. J. Bio Inspired Comput. 14 (2) (2019)
Upendra Pratap Singh, Swapnil Chavan, Sahil Hindwani, Krishna Pratap Singh
Self-taught Learning: Image Classification Using Stacked Autoencoders. SocProS (1) (2019)
Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh
Differentially Private Location Privacy Preservation in Wireless Sensor Networks. Wirel. Pers. Commun. 104 (1) (2019)
Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh
A new patch and stitch algorithm for localization in wireless sensor networks. Wirel. Networks 25 (6) (2019)
Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma
An Efficient Framework Using Normalized Dominance Operator for Multi-Objective Evolutionary Algorithms. Int. J. Swarm Intell. Res. 10 (1) (2019)
Daisy Monika Lal, Krishna Pratap Singh, Uma Shanker Tiwary
Highlighted Word Encoding for Abstractive Text Summarization. IHCI (2019)
Bodhi Chakraborty, Shekhar Verma, Krishna Pratap Singh
Staircase based differential privacy with branching mechanism for location privacy preservation in wireless sensor networks. Comput. Secur. 77 (2018)
Abhinav Mishra, Kshitij Tripathi, Lakshay Gupta, Krishna Pratap Singh
Long Short-Term Memory Recurrent Neural Network Architectures for Melody Generation. SocProS (2) (2017)
Rajat Gupta, Shrikant Gupta, Muneendra Ojha, Krishna Pratap Singh
Regularized Artificial Neural Network for Financial Data. SocProS (1) (2017)
Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh
Flip Error Elimination and Core Map Selection in Patch and Stitch Algorithms for Localization in Wireless Sensor Network. ICCCT (2017)
Jyoti Kashniyal, Shekhar Verma, Krishna Pratap Singh
Wireless Sensor Networks Localization Using Progressive Isomap. Wirel. Pers. Commun. 92 (3) (2017)
Raj Kumar, Krishna Pratap Singh
SVM with Feature Selection and Extraction Techniques for Defect-Prone Software Module Prediction. SocProS (2) (2016)
Muneendra Ojha, Krishna Pratap Singh, Pavan Chakraborty, Shekhar Verma
An Aggregation Based Approach with Pareto Ranking in Multiobjective Genetic Algorithm. SocProS (2) (2015)
Shekhar Singh, Krishna Pratap Singh
Cuckoo Search Optimization for Job Shop Scheduling Problem. SocProS (1) (2014)
Krishna Pratap Singh, Kusum Deep, Mitthan Lal Kansal
Fuzzy-based interactive method for solution of bi- and multi-level programming problems. Int. J. Inf. Decis. Sci. 6 (2) (2014)
Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan
An interactive method using genetic algorithm for multi-objective optimization problems modeled in fuzzy environment. Expert Syst. Appl. 38 (3) (2011)
Shashi Barak, Kusum Deep, Krishna Pratap Singh, Vinod Kumar Katiyar
Global Optimization of Molecular Potential Energy Function Using a Real Coded Genetic Algorithm. BIOCOMP (2010)
Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal, C. Mohan
A real coded genetic algorithm for solving integer and mixed integer optimization problems. Appl. Math. Comput. 212 (2) (2009)
Kusum Deep, Krishna Pratap Singh, Mitthan Lal Kansal
A Fuzzy Interactive Method for Multiobjective Engineering Design Problems. ICETET (2008)