output
20122021
most citedMaking Risk Minimization Tolerant to Label Noise

224 citations

5 papers

cs.CV2021

Multi-Threshold Attention U-Net (MTAU) based Model for Multimodal Brain Tumor Segmentation in MRI scans

Navchetan Awasthi, Rohit Pardasani, Swati Gupta

Gliomas are one of the most frequent brain tumors and are classified into high grade and low grade gliomas. The segmentation of various regions such as tumor core, enhancing tumor…

eess.SY2018★ 25 cited

Distributed Mixed Voltage Angle and Frequency Droop Control of Microgrid Interconnections with Loss of Distribution-PMU Measurements

S Sivaranjani, Etika Agarwal, Vijay Gupta +2

Recent advances in distribution-level phasor measurement unit (D-PMU) technology have enabled the use of voltage phase angle measurements for direct load sharing control in distrib…

cs.CV2017★ 10 cited

Understanding the Mechanisms of Deep Transfer Learning for Medical Images

Hariharan Ravishankar, Prasad Sudhakar, Rahul Venkataramani +4

The ability to automatically learn task specific feature representations has led to a huge success of deep learning methods. When large training data is scarce, such as in medical…

cs.LG2014★ 224 cited

Making Risk Minimization Tolerant to Label Noise

Aritra Ghosh, Naresh Manwani, P. S. Sastry

In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence…

cs.LG2012★ 19 cited

K-Plane Regression

Naresh Manwani, P. S. Sastry

In this paper, we present a novel algorithm for piecewise linear regression which can learn continuous as well as discontinuous piecewise linear functions. The main idea is to repe…