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Mark Dougherty
Mark Dougherty
Professor in Information Technology, Halmstad University
Verified email at hh.se
Title
Cited by
Cited by
Year
Combining Kohonen maps with ARIMA time series models to forecast traffic flow
M Van Der Voort, M Dougherty, S Watson
Transportation Research Part C: Emerging Technologies 4 (5), 307-318, 1996
8441996
A review of neural networks applied to transport
M Dougherty
Transportation Research Part C: Emerging Technologies 3 (4), 247-260, 1995
6491995
Short-term inter-urban traffic forecasts using neural networks
MS Dougherty, MR Cobbett
International journal of forecasting 13 (1), 21-31, 1997
3831997
Should we use neural networks or statistical models for short-term motorway traffic forecasting?
HR Kirby, SM Watson, MS Dougherty
International journal of forecasting 13 (1), 43-50, 1997
2631997
A prototype fuel-efficiency support tool
M Van der Voort, MS Dougherty, M van Maarseveen
Transportation Research Part C: Emerging Technologies 9 (4), 279-296, 2001
2422001
The use of neural networks to recognise and predict traffic congestion
MS Dougherty, HR Kirby, RD Boyle
Traffic engineering & control 34 (6), 1993
1861993
Road and traffic sign detection and recognition
H Fleyeh, M Dougherty
Proceedings of the 16th Mini-EURO Conference and 10th Meeting of EWGT, 644-653, 2005
1052005
A field trial of acoustic signature analysis for vehicle classification
AY Nooralahiyan, M Dougherty, D McKeown, HR Kirby
Transportation Research Part C: Emerging Technologies 5 (3-4), 165-177, 1997
951997
Classification of speech intelligibility in Parkinson's disease
T Khan, J Westin, M Dougherty
Biocybernetics and Biomedical Engineering 34 (1), 35-45, 2014
932014
A new computer method for assessing drawing impairment in Parkinson's disease
J Westin, S Ghiamati, M Memedi, D Nyholm, A Johansson, M Dougherty, ...
Journal of neuroscience methods 190 (1), 143-148, 2010
902010
The use of neural networks and time series models for short term traffic forecasting: a comparative study
SD Clark, MS Dougherty, HR Kirby
TRANSPORTATION PLANNING METHODS. PROCEEDINGS OF SEMINAR D HELD AT THE PTRC …, 1993
871993
Condition monitoring of wooden railway sleepers
S Yella, M Dougherty, NK Gupta
Transportation research part C: emerging technologies 17 (1), 38-55, 2009
752009
A computer vision framework for finger-tapping evaluation in Parkinson's disease
T Khan, D Nyholm, J Westin, M Dougherty
Artificial intelligence in medicine 60 (1), 27-40, 2014
662014
A home environment test battery for status assessment in patients with advanced Parkinson's disease
J Westin, M Dougherty, D Nyholm, T Groth
Computer methods and programs in biomedicine 98 (1), 27-35, 2010
602010
Forecasting travel demand: a comparison of logit and artificial neural network methods
MCM De Carvalho, MS Dougherty, AS Fowkes, MR Wardman
Journal of the Operational Research Society 49 (7), 717-722, 1998
551998
Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing
S Yella, MS Dougherty, NK Gupta
Insight-Non-Destructive Testing and Condition Monitoring 48 (1), 10-20, 2006
462006
Machine learning algorithms in heavy process manufacturing
K Hansson, S Yella, M Dougherty, H Fleyeh
American Journal of Intelligent Systems 6 (1), 1-13, 2016
432016
Motion cue analysis for parkinsonian gait recognition
T Khan, J Westin, M Dougherty
The open biomedical engineering journal 7, 1, 2013
402013
Invariant road sign recognition with fuzzy artmap and zernike moments
H Fleyeh, M Dougherty, D Aenugula, S Baddam
2007 IEEE Intelligent Vehicles Symposium, 31-36, 2007
372007
A pharmacokinetic-pharmacodynamic model for duodenal levodopa infusion
J Westin, D Nyholm, S Pålhagen, T Willows, T Groth, M Dougherty, ...
Clinical neuropharmacology 34 (2), 61-65, 2011
352011
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