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Rajib Rana
Rajib Rana
Professor of Computer Science, UniSQ
Zweryfikowany adres z usq.edu.au - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
180*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
1742018
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
1622009
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
1422017
Poster: Context-driven mood mining
R Rana
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
136*2016
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
1302017
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
1302015
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
1282013
Direct modelling of speech emotion from raw speech
S Latif, R Rana, S Khalifa, R Jurdak, J Epps
arXiv preprint arXiv:1904.03833, 2019
1272019
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
1152020
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
962020
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
802021
Nonuniform compressive sensing for heterogeneous wireless sensor networks
Y Shen, W Hu, R Rana, CT Chou
IEEE Sensors journal 13 (6), 2120-2128, 2013
672013
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
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
492023
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
49*2022
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