P. Balamurugan

22 papers A* 2A 2B 1Journal 9Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Automatic Tweet Mention Recommendation in X for Reporting Civic Issues - Case Study Based on Mumbai City, India. ISC2 Aayush Patel, Chaitya Dobariya, Dayanand Ambawade, Dhawal Thakkar, P. Balamurugan
2024	J	`jnl`	Distributed accelerated gradient methods with restart under quadratic growth condition. J. Glob. Optim. Chhavi Sharma, Vishnu Narayanan, P. Balamurugan
2024	J	`jnl`	Learning Sparse Graphs for Functional Regression using Graph-induced Operator-valued Kernels. Trans. Mach. Learn. Res. Akash Saha, P. Balamurugan
2024	—	`conf`	MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI. CISP-BMEI Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan
2024	J	`jnl`	MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRI. CoRR Vivek Kumar Trivedi, Bheeshm Sharma, P. Balamurugan
2023	—	`conf`	PB-FELTuCS: Patch-Based Filtering for Enhanced Liver Tumor Classification and Segmentation. MICAD Bheeshm Sharma, P. Balamurugan
2023	—	`conf`	Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems. CDC Chhavi Sharma, Vishnu Narayanan, P. Balamurugan
2023	J	`jnl`	Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems. CoRR Chhavi Sharma, Vishnu Narayanan, P. Balamurugan
2020	A*	`conf`	Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces. NeurIPS Akash Saha, P. Balamurugan
2019	—	`conf`	Classifying Diabetic Retinopathy Images Using Induced Deep Region of Interest Extraction. CISP-BMEI Ashutosh Kushwaha, P. Balamurugan
2018	—	`conf`	Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. PAKDD (1) Anusha Kasinikota, P. Balamurugan, Shirish K. Shevade
2016	A	`conf`	ADMM for Training Sparse Structural SVMs with Augmented SDM P. Balamurugan, Anusha Posinasetty, Shirish K. Shevade
2016	—	`conf`	Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ECML/PKDD (1) P. K. Srijith, P. Balamurugan, Shirish K. Shevade
2016	—	`conf`	Stochastic Variance Reduction Methods for Saddle-Point Problems. NIPS P. Balamurugan, Francis R. Bach
2016	J	`jnl`	Stochastic Variance Reduction Methods for Saddle-Point Problems. CoRR P. Balamurugan, Francis R. Bach
2015	J	`jnl`	A Simple Label Switching Algorithm for Semisupervised Structural SVMs. Neural Comput. P. Balamurugan, Shirish K. Shevade, S. Sundararajan
2014	J	`jnl`	Scalable sequential alternating proximal methods for sparse structural SVMs and CRFs. Knowl. Inf. Syst. P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu
2013	J	`jnl`	An Empirical Evaluation of Sequence-Tagging Trainers. CoRR P. Balamurugan, Shirish K. Shevade, S. Sundararajan, S. Sathiya Keerthi
2013	J	`jnl`	Large Margin Semi-supervised Structured Output Learning. CoRR P. Balamurugan, Shirish K. Shevade, Sundararajan Sellamanickam
2013	A*	`conf`	Large-Scale Elastic Net Regularized Linear Classification SVMs and Logistic Regression. ICDM P. Balamurugan
2012	B	`conf`	Efficient algorithms for linear summed error structural SVMs. IJCNN P. Balamurugan, Shirish K. Shevade, T. Ravindra Babu
2011	A	`conf`	A Sequential Dual Method for Structural SVMs. SDM Shirish K. Shevade, P. Balamurugan, S. Sundararajan, S. Sathiya Keerthi