| Multimodal emotion recognition using deep learning architectures H Ranganathan, S Chakraborty, S Panchanathan 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 91 | 2016 |
| Deep active learning for image classification H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan 2017 IEEE International Conference on Image Processing (ICIP), 3934-3938, 2017 | 13 | 2017 |
| Transfer of multimodal emotion features in deep belief networks H Ranganathan, S Chakraborty, S Panchanathan 2016 50th Asilomar Conference on Signals, Systems and Computers, 449-453, 2016 | 5 | 2016 |
| Wavelet domain mutual information synchronization of multimodal cardiac microscopy image sequences M Liebling, H Ranganathan Wavelets XIII 7446, 744602, 2009 | 4 | 2009 |
| Multi-label deep active learning with label correlation H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan 2018 25th IEEE International Conference on Image Processing (ICIP), 3418-3422, 2018 | 2 | 2018 |
| Deep Active Learning Explored Across Diverse Label Spaces H Ranganathan Arizona State University, 2018 | 1 | 2018 |
| Deep Active Learning for Image Regression H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan Deep Learning Applications. Advances in Intelligent Systems and Computing …, 2020 | | 2020 |
| Active Learning for NLP Systems AR Goncalves, A Sales, H Ranganathan, BC Soper, P Ray Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019 | | 2019 |
| Human Emotion Detection using Image Fusion Technique S Sarkar, H Ranganathan | | |
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
