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DAUWELS LAB

> 2019

Journal Papers

A. Prokhorchuk, J. Dauwels, P. Jaillet, "Estimating Travel Time Distributions by Bayesian Network Inference", IEEE Transactions on Intelligent Transportation Systems, March 2019 (IF 5.744) PDF

C.C. Chang, W. Shi, P. Mehta, J. Dauwels, “Life cycle energy assessment of university buildings in tropical climate”, Journal of Cleaner Production, Vol. 239, Pages – 117930, Dec 2019 (IF 6.395). PDF

Z. Tu, H. Li, D. Zhang, J. Dauwels, B. Li, J. Yuan, "Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition", IEEE Transactions on Image Processing, Volume: 28 , Issue: 6 , June 2019 (IF 5.081) PDF

Y. Tahir, Z. Yang, D. Chakraborty, N. Thalmann, D. Thalmann, Y. Maniam, B.L. Tan, J Lee, C. Keong, J. Dauwels, "Non-verbal speech cues as objective measures for negative symptoms in patients with schizophrenia", PloS one, April 2019, Volume 14, Issue 4, pp. e0214314 (IF 2.776)

N. Sinha, Y. Wang, J. Dauwels, M. Kaiser, T. Thesen, T. Thesen, R. Forsyth, P.N. Taylor, "Computer modelling of connectivity change suggests epileptogenesis mechanisms in idiopathic generalised epilepsy", NeuroImage: Clinical, January 2019, Volume 21, pp. 101655 (IF 3.943) PDF

Y. Hang, S. Barbot, J. Dauwels, T. Wang, P Nanjundiah, Q Qiu, “Outlier-insensitive Bayesian inference for linear inverse problems (OutIBI) with applications to space geodetic data”, Geophysical Journal International, Vol. 221, Pages 334-350, Nov 2019 (IF 2.777). PDF

H. Yu, L. Xin, J. Dauwels, “Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models”, IEEE Transactions on Signal Processing, Vol. 67, Issue 24, Pages - 6468-6482, Nov 2019 (IF 5.23). PDF

E. Bagheri, J. Jin, J. Dauwels, S. Cash, M.B. Westover, “A fast machine learning approach to facilitate the detection of interictal epileptiform discharges in the scalp electroencephalogram”, Journal of neuroscience methods, Vol 326, p. 108362, Oct 2019 (IF: 2.785). PDF

Z. Tu, W. Xie, J. Dauwels, B. Li, J. Yuan, “Semantic Cues Enhanced Multi-modality Multi-Stream CNN for Action Recognition”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29 (5), May 2019, p.1423-1437, May 2019 (IF: 3.558). PDF

KR. Wan, T. Maszczyk, AAQ. See, J. Dauwels, NKK. King, “A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease”, Clinical Neurophysiology, Vol. 130 (1), 145-154, 1 January 2019 (IF: 3.614) PDF

Conference Papers

U. Muhammad, P. Vyas, A. Abraham, R.A. Sundaram, P. Mehta, J. Dauwels, "An Integrated Simulator for Testing and Validation of Autonomous Vehicle Applications with Physics-based Rendering Sensors", 26th ITS World Congress, Singapore, 21-25 October 2019 PDF

J.Y. Kuo, A. Sayeed, N.T. Tangirala, V.H.Y. Chua, J. Dauwels, M.P. Mayer, "Pedestrians’ Acceptance of Personal Mobility Devices on the Shared Path: A Structural Equation Modelling Approach" 26th ITS World Congress, Singapore, 21-25 October 2019 PDF

J.Y. Kuo, N.T. Tangirala, J. Murugesan, A. Sayeed, V.H.Y Chua, J. Dauwels and M.P. Mayer, "Experimental Analysis of Pedestrians’ Discomfort Zone for Personal Mobility Devices on the Footpath", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA. PDF

X. Jiang, H. Yu, M. Hoy, J. Dauwels, "Robust Linear-complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA. PDF

X. Jiang, H. Yu, M. Hoy, J. Dauwels, "Variational Bayesian Point Set Registration", 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall 22–25 September 2019, Honolulu, Hawaii, USA. PDF

Y.H.V. Chua, P. Rajalingam, S.C. Tan, J. Dauwels, "Learning Technology for Education Challenges", 8th International Workshop, LTEC 2019, Zamora, Spain, July 15–18, 2019, Proceedings

R.R. Pandi, S.G. Ho, S.C.Nagavarapu, J.Dauwels, “Adaptive Algorithm for Dial-A-Ride Problem with Vehicle Breakdown”, 18th European Control Conference (EEC), 25-28 June 2019, Naples, Italy. PDF

S. Wu, H. Yu, J. Dauwels, "Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection", ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp 2862-2866, 12-17 May 2019.

Y. H. V. Chua, J. Dauwels, S. C. Tan, "Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now ?", The 9th International Learning Analytics and Knowledge Conference (LAK'19), 4 - 8 March 2019, Arizona PDF

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