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Kaushal K. Shukla
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Publications
- 2024
- [j49]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): 1240-1251 (2024) - 2023
- [j48]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) - [j47]Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, Kaushal K. Shukla:
An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. Biomed. Signal Process. Control. 84: 104798 (2023) - [j46]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): 4809-4826 (2023) - [j45]Atul Chaudhary, Rahul Mishra, Hari Prabhat Gupta, Kaushal K. Shukla:
Jointly Prediction of Activities, Locations, and Starting Times for Isolated Elderly People. IEEE J. Biomed. Health Informatics 27(5): 2288-2295 (2023) - 2022
- [j43]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): 21433-21447 (2022) - [j42]Atul Chaudhary, Hari Prabhat Gupta, K. K. Shukla:
Real-Time Activities of Daily Living Recognition Under Long-Tailed Class Distribution. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 740-750 (2022) - [j41]Anviti Pandey, Sanjay Kumar Singh, Sandeep S. Udmale, Kaushal K. Shukla:
Epileptic Seizure Classification Using Battle Royale Search and Rescue Optimization-Based Deep LSTM. IEEE J. Biomed. Health Informatics 26(11): 5494-5505 (2022) - [c24]Vandana Bharti, Bhaskar Biswas, Kaushal Kumar Shukla:
QL-SSA: An Adaptive Q-Learning based Squirrel Search Algorithm for Feature Selection. CEC 2022: 1-7 - [c23]Vandana Bharti, Aryan Singhal, Anant Saxena, Bhaskar Biswas, Kaushal Kumar Shukla:
Parallelization of corner sort with CUDA for many-objective optimization. GECCO 2022: 484-492 - 2021
- [j39]Manisha Singla, Debdas Ghosh, K. K. Shukla:
øverline pin-TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients. Neural Process. Lett. 53(6): 3981-4010 (2021) - [j38]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): 46:1-46:28 (2021) - 2020
- [j35]Mridula Verma, Kaushal Kumar Shukla:
Convergence analysis of accelerated proximal extra-gradient method with applications. Neurocomputing 388: 288-300 (2020) - [j34]Manisha Singla, Debdas Ghosh, K. K. Shukla:
A survey of robust optimization based machine learning with special reference to support vector machines. Int. J. Mach. Learn. Cybern. 11(7): 1359-1385 (2020) - [j33]Manisha Singla, K. K. Shukla:
Robust statistics-based support vector machine and its variants: a survey. Neural Comput. Appl. 32(15): 11173-11194 (2020) - [j32]Manisha Singla, Debdas Ghosh, K. K. Shukla:
Improved Sparsity of Support Vector Machine with Robustness Towards Label Noise Based on Rescaled α-Hinge Loss with Non-smooth Regularizer. Neural Process. Lett. 52(3): 2211-2239 (2020) - [j31]Manisha Singla, Debdas Ghosh, K. K. Shukla, Witold Pedrycz:
Robust twin support vector regression based on rescaled Hinge loss. Pattern Recognit. 105: 107395 (2020) - [c22]Prayas Jain, Mridula Verma, Kaushal Kumar Shukla:
Convergence Rate Analysis of Viscosity Approximation based Gradient Algorithms. IJCNN 2020: 1-6 - 2019
- [j30]Debdas Ghosh, Abhishek Singh, K. K. Shukla, Kartik Manchanda:
Extended Karush-Kuhn-Tucker condition for constrained interval optimization problems and its application in support vector machines. Inf. Sci. 504: 276-292 (2019) - [j29]Abhishek N. Tripathi, Hari Prabhat Gupta, Tanima Dutta, Durgesh Kumar, Satyabrat Jit, K. K. Shukla:
A Target Tracking System Using Directional Nodes in Wireless Sensor Networks. IEEE Syst. J. 13(2): 1618-1627 (2019) - 2018
- [j28]Abhishek N. Tripathi, Hari Prabhat Gupta, Tanima Dutta, Rahul Mishra, K. K. Shukla, Satyabrat Jit:
Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges. IEEE Access 6: 26971-26992 (2018) - [j27]Mridula Verma, Daya Ram Sahu, Kaushal Kumar Shukla:
VAGA: a novel viscosity-based accelerated gradient algorithm - Convergence analysis and applications. Appl. Intell. 48(9): 2613-2627 (2018) - [j26]Anoop Kumar Tiwari, Shivam Shreevastava, Tanmoy Som, Kaushal Kumar Shukla:
Tolerance-based intuitionistic fuzzy-rough set approach for attribute reduction. Expert Syst. Appl. 101: 205-212 (2018) - [j25]Anoop Kumar Tiwari, Shivam Shreevastava, Kaushal Kumar Shukla, Karthikeyan Subbiah:
New approaches to intuitionistic fuzzy-rough attribute reduction. J. Intell. Fuzzy Syst. 34(5): 3385-3394 (2018) - 2017
- [j23]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): 1750040:1-1750040:15 (2017) - [j22]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
A passive forensic method for video: Exposing dynamic object removal and frame duplication in the digital video using sensor noise features. J. Intell. Fuzzy Syst. 32(5): 3339-3353 (2017) - [j21]Mridula Verma, Kaushal Kumar Shukla:
A new accelerated proximal technique for regression with high-dimensional datasets. Knowl. Inf. Syst. 53(2): 423-438 (2017) - [j20]Mridula Verma, Kaushal Kumar Shukla:
A new accelerated proximal gradient technique for regularized multitask learning framework. Pattern Recognit. Lett. 95: 98-103 (2017) - [c18]Mridula Verma, Kaushal Kumar Shukla:
Fast Multi-Modal Unified Sparse Representation Learning. ICMR 2017: 443-447 - [c17]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: 58-65 - 2016
- [j19]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive forensics in image and video using noise features: A review. Digit. Investig. 19: 1-28 (2016) - [c16]Mridula Verma, Kaushal Kumar Shukla:
Performance comparison of proximal methods for regression with nonsmooth regularizers on real datasets. ICACCI 2016: 447-453 - [c15]Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla:
Informed multimodal latent subspace learning via supervised matrix factorization. ICVGIP 2016: 36:1-36:8 - [c14]Mridula Verma, Prayas Jain, Kaushal Kumar Shukla:
A new faster first order iterative scheme for sparsity-based multitask learning. SMC 2016: 1603-1608 - 2015
- [j15]Ramesh Chand Pandey, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive Copy- Move Forgery Detection Using Speed-Up Robust Features, Histogram Oriented Gradients and Scale Invariant Feature Transform. Int. J. Syst. Dyn. Appl. 4(3): 70-89 (2015) - [c12]Anuranjan Kumar, Sahil Gupta, Sanjay Kumar Singh, Kaushal K. Shukla:
Comparison of various metrics used in collaborative filtering for recommendation system. IC3 2015: 150-154 - [c11]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: 691-695 - 2014
- [c7]Ramesh Chand Pandey, Rishabh Agrawal, Sanjay Kumar Singh, Kaushal K. Shukla:
Passive Copy Move Forgery Detection Using SURF, HOG and SIFT Features. FICTA (1) 2014: 659-666 - 2011
- [b1]Kaushal K. Shukla, Munaga V. N. K. Prasad:
Lossy Image Compression - Domain Decomposition-Based Algorithms. Springer Briefs in Computer Science, Springer 2011, ISBN 978-1-4471-2217-3, pp. i-xii, 1-89 - 2009
- [j7]Bhaskar Biswas, Karan Jain, Vipul Mittal, Kaushal K. Shukla:
Exploiting tree structure of a web page for clustering. Int. J. Knowl. Web Intell. 1(1/2): 81-94 (2009) - 2003
- [j4]Munaga V. N. K. Prasad, V. N. Mishra, Kaushal K. Shukla:
Space partitioning based image compression using quality measures for subdivision decision. Appl. Soft Comput. 3(3): 273-282 (2003) - 2002
- [c1]Munaga V. N. K. Prasad, Kaushal K. Shukla, R. N. Mukherjee:
Implementation of BTTC Image Compression Algorithm Using Fuzzy Technique. AFSS 2002: 375-381 - 2001
- [j2]Munaga V. N. K. Prasad, Kaushal K. Shukla:
Tree Triangular Coding Image Compression Algorithms. Int. J. Image Graph. 1(4): 591-603 (2001)
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last updated on 2024-03-24 02:34 CET by the dblp team
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