P. Balamurugan

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