| Ear-phone: an end-to-end participatory urban noise mapping system RK Rana, CT Chou, SS Kanhere, N Bulusu, W Hu Proceedings of the 9th ACM/IEEE international conference on information …, 2010 | 966 | 2010 |
| Cross corpus speech emotion classification-an effective transfer learning technique S Latif, R Rana, S Younis, J Qadir, J Epps arXiv preprint arXiv:1801.06353, 2018 | 201* | 2018 |
| Phonocardiographic sensing using deep learning for abnormal heartbeat detection S Latif, M Usman, R Rana, J Qadir IEEE Sensors Journal 18 (22), 9393-9400, 2018 | 187 | 2018 |
| Energy efficient information collection in wireless sensor networks using adaptive compressive sensing CT Chou, R Rana, W Hu 2009 IEEE 34th Conference on Local Computer Networks, 443-450, 2009 | 164 | 2009 |
| Mobile health in the developing world: Review of literature and lessons from a case study S Latif, R Rana, J Qadir, A Ali, MA Imran, MS Younis IEEE Access 5, 11540-11556, 2017 | 162 | 2017 |
| Poster: Context-driven mood mining R Rana Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 147* | 2016 |
| Ear-Phone: A context-aware noise mapping using smart phones R Rana, CT Chou, N Bulusu, S Kanhere, W Hu Pervasive and Mobile Computing 17, 1-22, 2015 | 136 | 2015 |
| Direct modelling of speech emotion from raw speech S Latif, R Rana, S Khalifa, R Jurdak, J Epps arXiv preprint arXiv:1904.03833, 2019 | 134 | 2019 |
| Variational autoencoders for learning latent representations of speech emotion: A preliminary study S Latif, R Rana, J Qadir, J Epps arXiv preprint arXiv:1712.08708, 2017 | 133 | 2017 |
| Feasibility analysis of using humidex as an indoor thermal comfort predictor R Rana, B Kusy, R Jurdak, J Wall, W Hu Energy and Buildings 64, 17-25, 2013 | 133 | 2013 |
| Multi-task semi-supervised adversarial autoencoding for speech emotion recognition S Latif, R Rana, S Khalifa, R Jurdak, J Epps, BW Schuller IEEE Transactions on Affective computing 13 (2), 992-1004, 2020 | 124 | 2020 |
| Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering S Siriwardhana, R Weerasekera, E Wen, T Kaluarachchi, R Rana, ... Transactions of the Association for Computational Linguistics 11, 1-17, 2023 | 118 | 2023 |
| Survey of deep representation learning for speech emotion recognition S Latif, R Rana, S Khalifa, R Jurdak, J Qadir, B Schuller IEEE Transactions on Affective Computing 14 (2), 1634-1654, 2021 | 104 | 2021 |
| Deep representation learning in speech processing: Challenges, recent advances, and future trends S Latif, R Rana, S Khalifa, R Jurdak, J Qadir, BW Schuller arXiv preprint arXiv:2001.00378, 2020 | 104 | 2020 |
| Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review E Hossain, R Rana, N Higgins, J Soar, PD Barua, AR Pisani, K Turner Computers in biology and medicine 155, 106649, 2023 | 99 | 2023 |
| Novel activity classification and occupancy estimation methods for intelligent HVAC (heating, ventilation and air conditioning) systems R Rana, B Kusy, J Wall, W Hu Energy 93, 245-255, 2015 | 68 | 2015 |
| Nonuniform compressive sensing for heterogeneous wireless sensor networks Y Shen, W Hu, R Rana, CT Chou IEEE Sensors journal 13 (6), 2120-2128, 2013 | 68 | 2013 |
| Adversarial machine learning and speech emotion recognition: Utilizing generative adversarial networks for robustness S Latif, R Rana, J Qadir arXiv preprint arXiv:1811.11402, 2018 | 60 | 2018 |
| Multitask learning from augmented auxiliary data for improving speech emotion recognition S Latif, R Rana, S Khalifa, R Jurdak, BW Schuller IEEE Transactions on Affective Computing 14 (4), 3164-3176, 2022 | 59* | 2022 |
| Dynamic texture reconstruction from sparse codes for unusual event detection in crowded scenes J Xu, S Denman, S Sridharan, C Fookes, R Rana Proceedings of the 2011 joint ACM workshop on Modeling and representing …, 2011 | 58 | 2011 |
Siddique LatifDubberVerified email at qut.edu.au
