Multi-label classification method based on extreme learning machines. - Rajasekar Venkatesan; Meng Joo Er (ICARCV, 2014)

A study of experiential learning theory using fuzzy inference system. - Sayantan Mandal; Meng Joo Er; Yiik Diew Wong; Rajasekar Venkatesan (FUZZ-IEEE, 2015)

Aspects of Structure and Parameters Selection of Control Systems Using Selected Multi-Population Algorithms. - Krystian Lapa; Jacek Szczypta; Rajasekar Venkatesan (ICAISC, 2015)

A novel online real-time classifier for multi-label data streams. - Rajasekar Venkatesan; Meng Joo Er; Shiqian Wu; Mahardhika Pratama (IJCNN, 2016)

Sentiment classification using Comprehensive Attention Recurrent models. - Yong Zhang 007; Meng Joo Er; Rajasekar Venkatesan; Ning Wang 002; Mahardhika Pratama (IJCNN, 2016)

A Novel Incremental Class Learning Technique for Multi-class Classification. - Meng Joo Er; Vijaya Krishna Yalavarthi; Ning Wang 002; Rajasekar Venkatesan (ISNN, 2016)

A novel progressive multi-label classifier for class-incremental data. - Mihika Dave; Sahil Tapiawala; Meng Joo Er; Rajasekar Venkatesan (SMC, 2016)

An online universal classifier for binary, multi-class and multi-label classification. - Meng Joo Er; Rajasekar Venkatesan; Ning Wang 002 (SMC, 2016)

A Novel Progressive Multi-label Classifier for Classincremental Data. - Mihika Dave; Sahil Tapiawala; Meng Joo Er; Rajasekar Venkatesan (CoRR, 2016)

A High Speed Multi-label Classifier based on Extreme Learning Machines. - Meng Joo Er; Rajasekar Venkatesan; Ning Wang 002 (CoRR, 2016)

A novel progressive learning technique for multi-class classification. - Rajasekar Venkatesan; Meng Joo Er (Neurocomputing, 2016)

graph2vec: Learning Distributed Representations of Graphs. - Annamalai Narayanan; Mahinthan Chandramohan; Rajasekar Venkatesan; Lihui Chen 001; Yang Liu 003; Shantanu Jaiswal (CoRR, 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)