Follow
Rajib Rana
Rajib Rana
Professor of Computer Science, UniSQ
Verified email at usq.edu.au - Homepage
Title
Cited by
Cited by
Year
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
9642010
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
177*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
1702018
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
1652009
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
1392017
Poster: Context-driven mood mining
R Rana
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
132*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
1282015
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
1262017
Direct modelling of speech emotion from raw speech
S Latif, R Rana, S Khalifa, R Jurdak, J Epps
arXiv preprint arXiv:1904.03833, 2019
1232019
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
1232013
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
1092020
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
942020
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
742021
Nonuniform compressive sensing for heterogeneous wireless sensor networks
Y Shen, W Hu, R Rana, CT Chou
IEEE Sensors journal 13 (6), 2120-2128, 2013
662013
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
632015
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
562011
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
542018
Real-time classification via sparse representation in acoustic sensor networks
B Wei, M Yang, Y Shen, R Rana, CT Chou, W Hu
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems …, 2013
502013
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, 2022
47*2022
Automated screening for distress: A perspective for the future
R Rana, S Latif, R Gururajan, A Gray, G Mackenzie, G Humphris, J Dunn
European journal of cancer care 28 (4), e13033, 2019
462019
The system can't perform the operation now. Try again later.
Articles 1–20