| graph2vec: Learning distributed representations of graphs A Narayanan, M Chandramohan, R Venkatesan, L Chen, Y Liu, S Jaiswal arXiv preprint arXiv:1707.05005, 2017 | 1021 | 2017 |
| subgraph2vec: Learning distributed representations of rooted sub-graphs from large graphs A Narayanan, M Chandramohan, L Chen, Y Liu, S Saminathan arXiv preprint arXiv:1606.08928, 2016 | 208 | 2016 |
| Sentiment classification using comprehensive attention recurrent models Y Zhang, JE Meng, R Venkatesan, N Wang, M Pratama 2016 International joint conference on neural networks (IJCNN), 1562-1569, 2016 | 74 | 2016 |
| A novel progressive learning technique for multi-class classification R Venkatesan, MJ Er Neurocomputing 207, 310-321, 2016 | 69 | 2016 |
| A novel online multi-label classifier for high-speed streaming data applications R Venkatesan, MJ Er, M Dave, M Pratama, S Wu Evolving Systems 8, 303-315, 2017 | 53 | 2017 |
| An online universal classifier for binary, multi-class and multi-label classification MJ Er, R Venkatesan, N Wang 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 48 | 2016 |
| Multi-label classification method based on extreme learning machines R Venkatesan, MJ Er 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 44 | 2014 |
| Aspects of structure and parameters selection of control systems using selected multi-population algorithms K Łapa, J Szczypta, R Venkatesan Artificial Intelligence and Soft Computing: 14th International Conference …, 2015 | 23 | 2015 |
| A novel online real-time classifier for multi-label data streams R Venkatesan, MJ Er, S Wu, M Pratama 2016 International Joint Conference on Neural Networks (IJCNN), 1833-1840, 2016 | 11 | 2016 |
| A novel progressive multi-label classifier for class-incremental data M Dave, S Tapiawala, MJ Er, R Venkatesan 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 8 | 2016 |
| Implementation of AVCS using Kalman Filter and PID Controller in Autonomous Self Guided Vehicle D Sivaraj, A Kandaswamy, V Rajasekar, PB Sankarganesh, ... International Journal of Computer Applications 27 (2), 1-8, 2011 | 7 | 2011 |
| Investigations and optimization of wall angle and surface roughness in incremental forming of Aa5052 aluminum alloy T Radhika, R Venkatesan, C Sathiyanarayanan, MP Kumar Carib J Sci 53, 707-720, 2019 | 6 | 2019 |
| A high speed multi-label classifier based on extreme learning machines MJ Er, R Venkatesan, N Wang Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II …, 2016 | 6 | 2016 |
| Progressive learning strategies for multi-class classification MJ Er, R Venkatesan, N Wang, CJ Chien 2017 International Automatic Control Conference (CACS), 1-6, 2017 | 5 | 2017 |
| A novel incremental class learning technique for multi-class classification MJ Er, VK Yalavarthi, N Wang, R Venkatesan Advances in Neural Networks–ISNN 2016: 13th International Symposium on …, 2016 | 4 | 2016 |
| A study of experiential learning theory using fuzzy inference system S Mandal, EM Joo, YD Wong, R Venkatesan 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-5, 2015 | 1 | 2015 |
| FORMABILITY AND VOID ANALYSIS OF AA5052 SHEET DURING THE MULTI POINT INCREMENTAL FORMING PROCESS. T RADHIKA, R VENKATESAN, C SATHIYA NARAYANAN Journal of the Balkan Tribological Association 25 (1), 2019 | | 2019 |
| Novel progressive learning technique for classification problems R Venkatesan | | 2017 |
| Design and Development of Vision Based AVCS D Sivaraj, A Kandaswamy, V Rajasekar European Journal of Scientific Research 67 (2), 309-323, 2012 | | 2012 |
| VISION BASED AUTONOMOUS LATERAL AND LONGITUDINAL CONTROL SYSTEM DSAKV Rajasekar, PB SankarGanesh | | |
Meng Joo ErDalian Maritime University, ChinaVerifisert e-postadresse på dlmu.edu.cn