Kaushal Kumar Shukla

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Convergence Analysis

Multitask Learning

Intuitionistic Fuzzy

Mass Spectrometry

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

IEEE J. Biomed. Health Informatics

Publications

Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
QEMCGAN: Quantized Evolutionary Gradient Aware Multiobjective Cyclic GAN for Medical Image Translation. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
MDO: a novel murmuration-flight based dispersive optimization algorithm and its application to image security. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Vandana Bharti, Shabari S. Nair, Akshat Jain, Kaushal Kumar Shukla, Bhaskar Biswas
Concept drift detection in toxicology datasets using discriminative subgraph-based drift detector. Briefings Bioinform. 24 (1) (2023)
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
QL-SSA: An Adaptive Q-Learning based Squirrel Search Algorithm for Feature Selection. CEC (2022)
Vandana Bharti, Aryan Singhal, Anant Saxena, Bhaskar Biswas, Kaushal Kumar Shukla
Parallelization of corner sort with CUDA for many-objective optimization. GECCO (2022)
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation. Neural Comput. Appl. 34 (24) (2022)
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
A Novel Multiobjective GDWCN-PSO Algorithm and Its Application to Medical Data Security. ACM Trans. Internet Techn. 21 (2) (2021)
Mridula Verma, Kaushal Kumar Shukla
Convergence analysis of accelerated proximal extra-gradient method with applications. Neurocomputing 388 (2020)
Prayas Jain, Mridula Verma, Kaushal Kumar Shukla
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms. IJCNN (2020)
Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah
New approaches to intuitionistic fuzzy-rough attribute reduction. J. Intell. Fuzzy Syst. 34 (5) (2018)
Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla
Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction. Expert Syst. Appl. 101 (2018)
Mridula Verma, Daya Ram Sahu, Kaushal Kumar Shukla
VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications. Appl. Intell. 48 (9) (2018)
Mridula Verma, Kaushal Kumar Shukla
A new accelerated proximal technique for regression with high-dimensional datasets. Knowl. Inf. Syst. 53 (2) (2017)
Mridula Verma, Kaushal Kumar Shukla
A new accelerated proximal gradient technique for regularized multitask learning framework. Pattern Recognit. Lett. 95 (2017)
Mridula Verma, Kaushal Kumar Shukla
Fast Multi-Modal Unified Sparse Representation Learning. ICMR (2017)
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset. Int. J. Pattern Recognit. Artif. Intell. 31 (12) (2017)
Prayas Jain, Pranav Goel, Devang Kulshreshtha, Kaushal Kumar Shukla
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets. WASSA@EMNLP (2017)
Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla
Informed multimodal latent subspace learning via supervised matrix factorization. ICVGIP (2016)
Mridula Verma, Kaushal Kumar Shukla
Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets. ICACCI (2016)
Mridula Verma, Prayas Jain, Kaushal Kumar Shukla
A new faster first order iterative scheme for sparsity-based multitask learning. SMC (2016)
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data. ICNC (2015)