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ORCIDK. Lakshmanan 0001
Person information
- affiliation: Indian Institute of Technology Varanasi (BHU), India
- affiliation (PhD 2012): Indian Institute of Science Bangalore, India
Other persons with the same name
- K. Lakshmanan 0002 — University of Leoben, Austria
- K. Lakshmanan 0003 — Kuwait American School of Education, Department of Mathematics, Salmiya, Kuwait
2020 – today
- 2023
[j15]Vaibhav Padhye, K. Lakshmanan, Amrita Chaturvedi:
Proximal policy optimization based hybrid recommender systems for large scale recommendations. Multim. Tools Appl. 82(13): 20079-20100 (2023)- 2022
- [j14]Sumit Kumar
, Ruchir Gupta, K. Lakshmanan, Vipin Maurya:
A Game-Theoretic Approach for Increasing Resource Utilization in Edge Computing Enabled Internet of Things. IEEE Access 10: 57974-57989 (2022) - [j13]Abhinav Sharma, K. Lakshmanan, Ruchir Gupta, Atul Gupta:
Stochastic Arrow-Hurwicz Algorithm for Path Selection and Rate Allocation in Self-Backhauled mmWave Networks. IEEE Commun. Lett. 26(3): 716-720 (2022) - [j12]Krishnan Rajkumar, Antriksh Goswami, K. Lakshmanan, Ruchir Gupta:
Comment on "Federated Learning With Differential Privacy: Algorithms and Performance Analysis". IEEE Trans. Inf. Forensics Secur. 17: 3922-3924 (2022) - [j11]Rakesh Kumar, Amrita Chaturvedi, K. Lakshmanan:
An Unsupervised Software Fault Prediction Approach Using Threshold Derivation. IEEE Trans. Reliab. 71(2): 911-932 (2022) - 2021
- [j10]Abhinav Sharma, K. Lakshmanan, Ruchir Gupta, Atul Gupta:
Multi-Time Scale Smoothed Functional With Nesterov's Acceleration. IEEE Access 9: 113489-113499 (2021) - [j9]Abhinav Sharma, Ruchir Gupta, K. Lakshmanan, Atul Gupta:
Transition Based Discount Factor for Model Free Algorithms in Reinforcement Learning. Symmetry 13(7): 1197 (2021) - [j8]Abhinav Kumar, Sanjay Kumar Singh, Sonal Saxena, Amit Kumar Singh, Sameer Shrivastava, K. Lakshmanan, Neeraj Kumar, Raj Kumar Singh:
CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density. IEEE Trans. Fuzzy Syst. 29(1): 103-117 (2021) - [j7]Abhinav Kumar, Sanjay Kumar Singh, K. Lakshmanan, Sonal Saxena, Sameer Shrivastava:
A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images. ACM Trans. Internet Techn. 21(2): 52:1-52:22 (2021) - 2020
- [j6]Bhaskar Mukhoty, Ruchir Gupta, K. Lakshmanan, Mayank Kumar:
A parameter-free affinity based clustering. Appl. Intell. 50(12): 4543-4556 (2020) - [j5]Ruchir Gupta, K. Lakshmanan, Abhay Kumar Sah:
Beam Alignment for mmWave Using Non-Stationary Bandits. IEEE Commun. Lett. 24(11): 2619-2622 (2020) - [j4]Abhinav Kumar, Sanjay Kumar Singh, Sonal Saxena, K. Lakshmanan, Arun Kumar Sangaiah, Himanshu Chauhan, Sameer Shrivastava, Raj Kumar Singh:
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer. Inf. Sci. 508: 405-421 (2020)
2010 – 2019
- 2017
- [j3]K. Lakshmanan, Shalabh Bhatnagar:
Quasi-Newton smoothed functional algorithms for unconstrained and constrained simulation optimization. Comput. Optim. Appl. 66(3): 533-556 (2017) - 2016
- [j2]Shalabh Bhatnagar, K. Lakshmanan:
Multiscale Q-learning with linear function approximation. Discret. Event Dyn. Syst. 26(3): 477-509 (2016) - 2012
- [j1]Shalabh Bhatnagar, K. Lakshmanan:
An Online Actor-Critic Algorithm with Function Approximation for Constrained Markov Decision Processes. J. Optim. Theory Appl. 153(3): 688-708 (2012) - [c2]K. Lakshmanan, Shalabh Bhatnagar:
A novel Q-learning algorithm with function approximation for constrained Markov decision processes. Allerton Conference 2012: 400-405 - 2011
- [c1]K. Lakshmanan, Shalabh Bhatnagar:
Smoothed Functional and Quasi-Newton Algorithms for Routing in Multi-stage Queueing Network with Constraints. ICDCIT 2011: 175-186
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