Stebėti
Rajib Rana
Rajib Rana
Professor of Computer Science, UniSQ
Patvirtintas el. paštas usq.edu.au - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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
9822010
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
2272023
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
211*2018
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
1972023
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
1972018
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
1872017
Poster: Context-driven mood mining
R Rana
Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016
165*2016
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
1642009
Direct modelling of speech emotion from raw speech
S Latif, R Rana, S Khalifa, R Jurdak, J Epps
arXiv preprint arXiv:1904.03833, 2019
1462019
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
1442013
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
1392017
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
1372015
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
1352020
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
1212021
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
1142020
Nonuniform compressive sensing for heterogeneous wireless sensor networks
Y Shen, W Hu, R Rana, CT Chou
IEEE Sensors journal 13 (6), 2120-2128, 2013
692013
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
682015
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
66*2022
Emotion intensity and its control for emotional voice conversion
K Zhou, B Sisman, R Rana, BW Schuller, H Li
IEEE Transactions on Affective Computing 14 (1), 31-48, 2022
662022
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
622018
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Straipsniai 1–20