65 citations
- IBM Research - IndiaIN25 papers
- Indian Institute of Science BangaloreIN14 papers
- IBM (United States)US12 papers
- IBM Research - Thomas J. Watson Research CenterUS7 papers
- Indian Institute of Technology MadrasIN3 papers
- IBM Research - AlmadenUS2 papers
- IBM Research - IrelandIE2 papers
- IBM Research - ZurichCH2 papers
- Indian Institute of Technology BombayIN2 papers
- Indian Institute of Technology DelhiIN2 papers
- International Institute of Information Technology BangaloreIN2 papers
- The University of QueenslandAU2 papers
7 papers · 1 filter
Outlier Aware Network Embedding for Attributed Networks
Sambaran Bandyopadhyay, Lokesh N, M. N. Murty
Attributed network embedding has received much interest from the research community as most of the networks come with some content in each node, which is also known as node attribu…
What is my data worth? From data properties to data value
Kalapriya Kannan, Rema Ananthanarayanan, Sameep Mehta
Data today fuels both the economy and advances in machine learning and AI. All aspects of decision making, at the personal and enterprise level and in governments are increasingly…
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Sumit Bhatia, Deepak P
Ideological leanings of an individual can often be gauged by the sentiment one expresses about different issues. We propose a simple framework that represents a political ideology…
Cognitive system to achieve human-level accuracy in automated assignment of helpdesk email tickets
Atri Mandal, Nikhil Malhotra, Shivali Agarwal +2
Ticket assignment/dispatch is a crucial part of service delivery business with lot of scope for automation and optimization. In this paper, we present an end-to-end automated helpd…
Snap ML: A Hierarchical Framework for Machine Learning
Celestine Dünner, Thomas Parnell, Dimitrios Sarigiannis +5
We describe a new software framework for fast training of generalized linear models. The framework, named Snap Machine Learning (Snap ML), combines recent advances in machine learn…
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks
Gaurav Goswami, Nalini Ratha, Akshay Agarwal +2
Deep neural network (DNN) architecture based models have high expressive power and learning capacity. However, they are essentially a black box method since it is not easy to mathe…