Kaushal Kumar Shukla

21 papers A 1B 4Misc 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
QEMCGAN: Quantized Evolutionary Gradient Aware Multiobjective Cyclic GAN for Medical Image Translation.
IEEE J. Biomed. Health Informatics
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
2023 J jnl
Concept drift detection in toxicology datasets using discriminative subgraph-based drift detector.
Briefings Bioinform.
Vandana Bharti, Shabari S. Nair, Akshat Jain, Kaushal Kumar Shukla, Bhaskar Biswas
2023 J jnl
MDO: a novel murmuration-flight based dispersive optimization algorithm and its application to image security.
J. Ambient Intell. Humaniz. Comput.
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
2022 J jnl
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation.
Neural Comput. Appl.
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
2022 A conf
Parallelization of corner sort with CUDA for many-objective optimization.
GECCO
Vandana Bharti, Aryan Singhal, Anant Saxena, Bhaskar Biswas, Kaushal Kumar Shukla
2022 B conf
QL-SSA: An Adaptive Q-Learning based Squirrel Search Algorithm for Feature Selection.
CEC
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
2021 J jnl
A Novel Multiobjective GDWCN-PSO Algorithm and Its Application to Medical Data Security.
ACM Trans. Internet Techn.
Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla
2020 B conf
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms.
IJCNN
Prayas Jain, Mridula Verma, Kaushal Kumar Shukla
2020 J jnl
Convergence analysis of accelerated proximal extra-gradient method with applications.
Neurocomputing
Mridula Verma, Kaushal Kumar Shukla
2018 J jnl
New approaches to intuitionistic fuzzy-rough attribute reduction.
J. Intell. Fuzzy Syst.
Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah
2018 J jnl
Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction.
Expert Syst. Appl.
Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla
2018 J jnl
VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications.
Appl. Intell.
Mridula Verma, Daya Ram Sahu, Kaushal Kumar Shukla
2017 J jnl
A new accelerated proximal gradient technique for regularized multitask learning framework.
Pattern Recognit. Lett.
Mridula Verma, Kaushal Kumar Shukla
2017 J jnl
A new accelerated proximal technique for regression with high-dimensional datasets.
Knowl. Inf. Syst.
Mridula Verma, Kaushal Kumar Shukla
2017 J jnl
Enhanced Prediction for Observed Peptide Count in Protein Mass Spectrometry Data by Optimally Balancing the Training Dataset.
Int. J. Pattern Recognit. Artif. Intell.
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla
2017 B conf
Fast Multi-Modal Unified Sparse Representation Learning.
ICMR
Mridula Verma, Kaushal Kumar Shukla
2017 — conf
Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets.
WASSA@EMNLP
Prayas Jain, Pranav Goel, Devang Kulshreshtha, Kaushal Kumar Shukla
2016 B conf
A new faster first order iterative scheme for sparsity-based multitask learning.
SMC
Mridula Verma, Prayas Jain, Kaushal Kumar Shukla
2016 — conf
Informed multimodal latent subspace learning via supervised matrix factorization.
ICVGIP
Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla
2016 — conf
Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets.
ICACCI
Mridula Verma, Kaushal Kumar Shukla
2015 Misc conf
Effect of varying degree of resampling on prediction accuracy for observed peptide count in protein mass spectrometry data.
ICNC
Anoop Kumar Tiwari, Abhigyan Nath, Karthikeyan Subbiah, Kaushal Kumar Shukla