Rajib Rana

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Wen Huunsw, csiro, nictaVerified email at unsw.edu.au
Siddique LatifDubber, Australia; QUT, AustraliaVerified email at qut.edu.au
Chun Tung ChouUniversity of New South WalesVerified email at unsw.edu.au
Raja JurdakProfessor, Queensland University of Technology (QUT), AustraliaVerified email at qut.edu.au
Junaid QadirProfessor, Qatar University (QU); Information Technology University (ITU), Pakistan.Verified email at qu.edu.qa
Julien EppsProfessor, The University of New South WalesVerified email at unsw.edu.au
salil kanhereProfessor, UNSW Sydney, AustraliaVerified email at unsw.edu.au
Nirupama BulusuProfessor of Computer Science, Portland State UniversityVerified email at pdx.edu
Brano KusyAutonomous Systems, CSIRO, AustraliaVerified email at csiro.au
Yiran Shen (沈益冉)School of Software, Shandong UniversityVerified email at sdu.edu.cn
Kazi Nazmul HaqueResearch Associate, University of Southern QueenslandVerified email at usq.edu.au
Mingrui YangDepartment of Biomedical Engineering, Cleveland ClinicVerified email at ccf.org
jeffrey soarUniversity of Southern QueenslandVerified email at usq.edu.au
Tim WarkCSIROVerified email at csiro.au
Muhammad Ali Imran, FIEEE, FRSE, F...Professor of Communication Systems - University of GlasgowVerified email at glasgow.ac.uk
Jiajun LiuPrincipal Research Scientist, Commonwealth Scientific and Industrial Research OrganisationVerified email at csiro.au
Clinton FookesQueensland University of TechnologyVerified email at qut.edu.au
Simon DenmanQueensland University of TechnologyVerified email at qut.edu.au
Aruna SeneviratneProfessor of Telecommunications, University of New South WalesVerified email at unsw.edu.au
Chengwen LuoShenzhen UniversityVerified email at szu.edu.cn

Rajib Rana

Professor of Computer Science, UniSQ

Verified email at usq.edu.au - Homepage

Deep Learning Neural Networks Representation Learning Unsupervised Learning Reinforcement Learning


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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	915	2010
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	161	2009
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	136*	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	119*	2018
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	118	2015
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	108	2017
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	102	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	99	2013
Direct modelling of speech emotion from raw speech S Latif, R Rana, S Khalifa, R Jurdak, J Epps arXiv preprint arXiv:1904.03833, 2019	98	2019
Poster: Context-driven mood mining R Rana Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016	97*	2016
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	71	2020
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	68*	2020
Nonuniform compressive sensing for heterogeneous wireless sensor networks Y Shen, W Hu, R Rana, CT Chou IEEE Sensors journal 13 (6), 2120-2128, 2013	61	2013
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	54	2015
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	53	2011
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	46	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	45	2018
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	40	2019
SimpleTrack: Adaptive trajectory compression with deterministic projection matrix for mobile sensor networks R Rana, M Yang, T Wark, CT Chou, W Hu IEEE Sensors Journal 15 (1), 365-373, 2014	39	2014
Determination of activities of daily living of independent living older people using environmentally placed sensors Q Zhang, M Karunanithi, R Rana, J Liu 2013 35th Annual International Conference of the IEEE Engineering in …, 2013	39	2013

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