| 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 | 317 | 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 | 135 | 2017 |
| Deep Active Learning for Image Regression H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan Deep Learning Applications. Advances in Intelligent Systems and Computing …, 2020 | 19 | 2020 |
| 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 | 10 | 2018 |
| 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 | 10 | 2016 |
| Wavelet domain mutual information synchronization of multimodal cardiac microscopy image sequences M Liebling, H Ranganathan Wavelets XIII 7446, 11-15, 2009 | 5 | 2009 |
| Meta2DB: Curated Shotgun Metagenomic Feature Sets and Metadata for Health State Prediction CR Kok, NJ Mulakken, JB Thissen, JM Martí, R Lee, JB Trainer, ... bioRxiv, 2024.10. 03.616398, 2024 | 2 | 2024 |
| Deep active learning explored across diverse label spaces H Ranganathan Arizona State University, 2018 | 2 | 2018 |
| Beyond Microbial Abundance: Metadata Integration Enhances Disease Prediction in Human Microbiome Studies AR Goncalves, H Ranganathan, C Valdes, H Zhu, B Zhang, CR Kok, ... bioRxiv, 2025.09. 03.674104, 2025 | | 2025 |
| Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis H Zhu, AR Goncalves, C Valdes, H Ranganathan, B Zhang, JM Martí, ... arXiv preprint arXiv:2502.02552, 2025 | | 2025 |
| Model Choice Metrics to Optimize Profile-QSAR Performance S He, S Kim, KS McLoughlin, H Ranganathan, D Shi, JE Allen bioRxiv, 2022.08. 22.504151, 2022 | | 2022 |
| Active Learning for NLP Systems AR Goncalves, A Sales, H Ranganathan, BC Soper, P Ray Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States), 2019 | | 2019 |
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
