49 citations · 58 across the 5 of their papers we have counts for
5 papers
On the Robustness of Decision Tree Learning under Label Noise
Aritra Ghosh, Naresh Manwani, P. S. Sastry
In most practical problems of classifier learning, the training data suffers from the label noise. Hence, it is important to understand how robust is a learning algorithm to such l…
Grouping Entities in a Fleet by Community Detection in Network of Regression Models
Pankaj Pansari, C. Rajagopalan, Ramasubramanian Sundararajan
This paper deals with grouping of entities in a fleet based on their behavior. The behavior of each entity is characterized by its historical dataset, which comprises a dependent v…
An SVM Based Approach for Cardiac View Planning
Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag +1
We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI). A concern with technolo…
A multi-instance learning algorithm based on a stacked ensemble of lazy learners
Ramasubramanian Sundararajan, Hima Patel, Manisha Srivastava
This document describes a novel learning algorithm that classifies "bags" of instances rather than individual instances. A bag is labeled positive if it contains at least one posit…
Double Ramp Loss Based Reject Option Classifier
Naresh Manwani, Kalpit Desai, Sanand Sasidharan +1
We consider the problem of learning reject option classifiers. The goodness of a reject option classifier is quantified using loss function wherein a loss is…