Rajasekar Venkatesan

According to our database, Rajasekar Venkatesan authored at least 13 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

A novel online multi-label classifier for high-speed streaming data applications.

Rajasekar Venkatesan, Meng Joo Er, Mihika Dave, Mahardhika Pratama, Shiqian Wu

Evol. Syst., 2017

graph2vec: Learning Distributed Representations of Graphs.

Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal

CoRR, 2017

2016

A novel progressive learning technique for multi-class classification.

Rajasekar Venkatesan, Meng Joo Er

Neurocomputing, 2016

A High Speed Multi-label Classifier based on Extreme Learning Machines.

Meng Joo Er, Rajasekar Venkatesan, Ning Wang

CoRR, 2016

A Novel Progressive Multi-label Classifier for Classincremental Data.

Mihika Dave, Sahil Tapiawala, Meng Joo Er, Rajasekar Venkatesan

CoRR, 2016

An online universal classifier for binary, multi-class and multi-label classification.

Meng Joo Er, Rajasekar Venkatesan, Ning Wang

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A novel progressive multi-label classifier for class-incremental data.

Mihika Dave, Sahil Tapiawala, Meng Joo Er, Rajasekar Venkatesan

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Novel Incremental Class Learning Technique for Multi-class Classification.

Meng Joo Er, Vijaya Krishna Yalavarthi, Ning Wang, Rajasekar Venkatesan

Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Sentiment classification using Comprehensive Attention Recurrent models.

Yong Zhang, Meng Joo Er, Rajasekar Venkatesan, Ning Wang, Mahardhika Pratama

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A novel online real-time classifier for multi-label data streams.

Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu, Mahardhika Pratama

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms.

Krystian Lapa, Jacek Szczypta, Rajasekar Venkatesan

Proceedings of the Artificial Intelligence and Soft Computing, 2015

A study of experiential learning theory using fuzzy inference system.

Sayantan Mandal, Meng Joo Er, Yiik Diew Wong, Rajasekar Venkatesan

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014

Multi-label classification method based on extreme learning machines.

Rajasekar Venkatesan, Meng Joo Er

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014