Aneesh Sreevallabh Chivukula

Orcid: 0000-0002-0445-4435

According to our database1, Aneesh Sreevallabh Chivukula authored at least 12 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Game Theoretical Adversarial Deep Learning With Variational Adversaries.
IEEE Trans. Knowl. Data Eng., 2021

Stock Market Analysis with Text Data: A Review.
CoRR, 2021

2020
Game theoretical adversarial deep learning algorithms for robust neural network models
PhD thesis, 2020

Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Adversarial Deep Learning Models with Multiple Adversaries.
IEEE Trans. Knowl. Data Eng., 2019

Adversarial Deep Learning with Stackelberg Games.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Discovering Granger-Causal Features from Deep Learning Networks.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Adversarial learning games with deep learning models.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
Optimizing text classification through efficient feature selection based on quality metric.
J. Intell. Inf. Syst., 2015

2014
Maximum Entropy Based Associative Regression for Sparse Datasets.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2013
A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

2011
Eucalyptus Cloud to Remotely Provision e-Governance Applications.
J. Comput. Networks Commun., 2011


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