Swarup Chandra

According to our database1, Swarup Chandra authored at least 27 papers between 2011 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

GCI: A GPU-Based Transfer Learning Approach for Detecting Cheats of Computer Game.
IEEE Trans. Dependable Secur. Comput., 2022

2019
Towards Self-Adaptive Metric Learning On the Fly.
Proceedings of the World Wide Web Conference, 2019

Metric Learning based Framework for Streaming Classification with Concept Evolution.
Proceedings of the International Joint Conference on Neural Networks, 2019

Robust High Dimensional Stream Classification with Novel Class Detection.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multistream Classification with Relative Density Ratio Estimation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics.
CoRR, 2018

Ensemble Direct Density Ratio Estimation for Multistream Classification.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Automated Threat Report Classification over Multi-Source Data.
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018

BCD: Decomposing Binary Code Into Components Using Graph-Based Clustering.
Proceedings of the 2018 on Asia Conference on Computer and Communications Security, 2018

GCI: A Transfer Learning Approach for Detecting Cheats of Computer Game.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Framework for Multistream Regression With Direct Density Ratio Estimation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Secure IoT Stream Data Management and Analytics with Intel SGX.
Proceedings of the 2017 Workshop on Automated Decision Making for Active Cyber Defense, 2017

Efficient Multistream Classification Using Direct Density Ratio Estimation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Securing Data Analytics on SGX with Randomization.
Proceedings of the Computer Security - ESORICS 2017, 2017

FUSION: An Online Method for Multistream Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Focus location extraction from political news reports with bias correction.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Efficient Sampling-Based Kernel Mean Matching.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

An Adaptive Framework for Multistream Classification.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sampling-based distributed Kernel mean matching using spark.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Adaptive encrypted traffic fingerprinting with bi-directional dependence.
Proceedings of the 32nd Annual Conference on Computer Security Applications, 2016

2015
A Comparative Study of Markov Network Structure Learning Methods Over Data Streams.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

2014
Towards a Systematic Study of the Covert Channel Attacks in Smartphones.
Proceedings of the International Conference on Security and Privacy in Communication Networks, 2014

Stream Mining Using Statistical Relational Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

MapReduce guided approximate inference over graphical models.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Distributed Adaptive Importance Sampling on graphical models using MapReduce.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2011
Estimating Twitter User Location Using Social Interactions-A Content Based Approach.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011


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