Journal Articles

Jerome, B, Stoeckl, M, Mackriell, B, Dawson, C, Fong, D, Folland, J (2023) Evidence for a new model of the complex interrelationship of ball possession, physical intensity and performance in elite soccer, Scandinavian Journal of Medicine & Science in Sports, 34(1), e14546, ISSN: 0905-7188. DOI: 10.1111/sms.14546.

Jerome, B, Stoeckl, M, Mackriell, B, Seidl, T, Dawson, C, Fong, D, Folland, J (2023) The influence of ball in/out of play and possession in elite soccer: towards a more valid measure of physical intensity during competitive match-play, European Journal of Sport Science, 23(9), pp.1892-1902, ISSN: 1746-1391. DOI: 10.1080/17461391.2023.2203120.

Wilby, R, Dawson, C, Yu, D, Herring, Z, Baruch, A, Ascott, MJ, Finney, DL, Macdonald, DMJ, Marsham, JH, Matthews, T, Murphy, C (2022) Spatial and temporal scaling of sub-daily extreme rainfall for data sparse places, Climate Dynamics, 60(11-12), pp.3577-3596, ISSN: 0930-7575. DOI: 10.1007/s00382-022-06528-2.

Dawson, C (2022) Special issue on ‘Computer Science in Sport’, Applied Sciences, 12(16), 8053, DOI: 10.3390/app12168053.

Dawson, C (2020) Sensitivity Analysis of Radial Basis Function Networks for River Stage Forecasting, Journal of Software Engineering and Applications, 13(12), pp.327-347, ISSN: 1945-3116. DOI: 10.4236/jsea.2020.1312022.

Dawson, C, Alsuwaiket, M, Batmaz, F (2018) Measuring the credibility of student attendance data in Higher Education for data mining, DOI: 10.18178/ijiet.2018.8.2.1020.

Dawson, C and Saad, A (2018) Requirement elicitaton techniques for an improved case based lesson planning system, Journal of Systems and Information Technology, ISSN: 1328-7265. DOI: 10.1108/JSIT-12-2016-0080.

Humphrey, GB, Maier, HR, Wu, W, Mount, NJ, Dandy, GC, Abrahart, RJ, Dawson, C (2017) Improved validation framework and R-package for artificial neural network models, Environmental Modelling and Software, 92, pp.82-106, ISSN: 1364-8152. DOI: 10.1016/j.envsoft.2017.01.023.

Saad, A, Chung, PWH, Dawson, CW (2014) Effectiveness of a case‐based system in lesson planning, Journal of Computer Assisted Learning, 30(5), pp.408-424, ISSN: 0266-4909. DOI: 10.1111/jcal.12053.

Dawson, CW and Dawson, RJ (2014) Software Development Process Models: A Technique for Evaluation and Decision-Making, Knowledge and Process Management (Print Edition): the journal of corporate transformation, 21(1), pp.42-53, DOI: 10.1002/kpm.1419.

Dawson, CW, Mount, NJ, Abrahart, RJ, Louis, J (2014) Sensitivity analysis for comparison, validation and physical legitimacy of neural network-based hydrological models, Journal of Hydroinformatics, 16(2), pp.1-18, DOI: 10.2166/hydro.2013.222.

Saad, A, Chung, PWH, Dawson, CW (2014) Effectiveness of a case-based system in lesson planning, Journal of Computer Assisted Learning, ISSN: 0266-4909. DOI: 10.1111/jcal.12053.

Wilby, R, Dawson, C, Murphy, C, O'Connor, P, Hawkins, E (2014) The Statistical Downscaling Model - Decision Centric (SDSM-DC): conceptual basis and applications, CLIMATE RESEARCH, 61(3), pp.259-276, ISSN: 0936-577X. DOI: 10.3354/cr01254.

Mount, NJ, Dawson, CW, Abrahart, RJ (2013) Legitimising data-driven models: Exemplification of a new data-driven mechanistic modelling framework, Hydrology and Earth System Sciences, 17(7), pp.2827-2843, ISSN: 1027-5606. DOI: 10.5194/hess-17-2827-2013.

Wilby, RL and Dawson, CW (2013) The statistical downscaling model: Insights from one decade of application, International Journal of Climatology, 33(7), pp.1707-1719, ISSN: 0899-8418. DOI: 10.1002/joc.3544.

Mount, NJ, Abrahart, RJ, Dawson, CW, Ab Ghani, N (2012) The need for operational reasoning in data-driven rating curve prediction of suspended sediment, Hydrological Processes, 26(26), pp.3982-4000, ISSN: 0885-6087. DOI: 10.1002/hyp.8439.

Abrahart, RJ, Anctil, F, Coulibaly, P, Dawson, CW, Mount, NJ, See, LM, Shamseldin, AY, Toth, DP, Wilby, RL (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network modelling of surface hydrology, Progress in Physical Geography, 36(4), pp.480-513.

Dawson, CW, Mount, NJ, Abrahart, RJ, Shamseldin, AY (2012) Ideal Point Error for Model Assessment in data-driven river flow forecasting, Hydrology and Earth System Sciences, 16(8), pp.3049-3060.

Shubati, A, Dawson, CW, Dawson, RJ (2011) Artefact generation in second life with case-based reasoning, Software Quality Journal, 19(2), pp.431-446, ISSN: 0963-9314. DOI: 10.1007/s11219-010-9125-4.

Abrahart, RJ, Mount, NJ, Ab Ghani, N, Clifford, NJ, Dawson, CW (2011) DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling, Journal of Hydrology, 409, pp.596-611.

Dominguez, E, Dawson, CW, Ramirez, A, Abrahart, RJ (2011) The search for orthogonal hydrological modelling metrics: a case study of 20 monitoring stations in Colombia, JOURNAL OF HYDROINFORMATICS, 13(3), pp.429-442, ISSN: 1464-7141. DOI: 10.2166/hydro.2010.116.

Abrahart, RJ, Mount, NJ, Ab Ghani, N, Clifford, NJ, Dawson, CW (2011) DAMP: A protocol for contextualising goodness-of-fit statistics in sediment-discharge data-driven modelling, Journal of Hydrology, ISSN: 0022-1694.

Dawson, CW, Abrahart, RJ, See, LM (2010) HydroTest: further development of a web resource for the standardised assessment of hydrological models, Environmental Modelling & Software, 25, pp.1481-1482, ISSN: 1364-8152.

Abrahart, RJ, Dawson, CW, See, LM, Mount, NJ, Shamseldin, AY (2010) Discussion of a Evapotranspiration modelling using support vector machines, Hydrological Sciences Journal, 55(8), pp.1442-1450, DOI: 10.1080/02626667.2010.529448.

Abrahart, RJ, Dawson, CW, See, LM, Mount, NJ, Shamseldin, AY (2010) Discussion of "Evapotranspiration modelling using support vector machines", Hydrological Sciences Journal, 55(8), pp.1442-1450, ISSN: 0262-6667.

Madden, M, Chung, PWH, Dawson, CW (2009) Cartoons beyond clipart: A computer tool for storyboarding and storywriting, Computers & Education, 52(1), pp.188-200, ISSN: 0360-1315. DOI: 10.1016/j.compedu.2008.07.009.

Madden, M, Chung, PWH, Dawson, CW (2008) The effect of a computed-based cartooning tool on children's cartoons and written stories, Computers & Education, 51(2), pp.900-925, ISSN: 0360-1315.

Dawson, CW, Abrahart, RJ, See, LM (2007) HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts, Environmental Modelling and Software, 22, pp.1034-1052.

Harpham, C and Dawson, CW (2006) The effect of different basis functions on a radial basis function network for time series prediction: A comparative study, NEUROCOMPUTING, 69(16-18), pp.2161-2170, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2005.07.010.

Yang, L, Dawson, CW, Brown, M, Gell, M (2006) Neural Network and GA Approaches for Dwelling Fire Occurrence Prediction, Knowledge-Based Systems, 19(4), pp.213-219, ISSN: 0950-7051. DOI: 10.1016/j.knosys.2005.11.021.

Dawson, CW, Abrahart, RJ, Shamseldin, AY, Wilby, RL (2006) Flood Estimation at Ungauged Sites Using Artificial Neural Networks, Journal of Hydrology, 319(1-4), pp.391-409, ISSN: 0022-1694. DOI: 10.1016/j.jhydrol.2005.07.032.

Dawson, CW, See, LM, Abrahart, RJ, Heppenstall, AJ (2006) Symbiotic Adaptive Neuro-Evolution Applied to Rainfall-Runoff Modelling in Northern England, Neural Networks, 19(2), pp.236-247, ISSN: 0893-6080. DOI: 10.1016/j.neunet.2006.01.009.

Harpham, C and Dawson, CW (2006) The Effect of Different Basis Functions on a Radial Basis Function Network for Time Series Prediction: A Comparative Study, Neurocomputing, 69(16-18), pp.2161-2170.

Harpham, C, Dawson, CW, Brown, MR (2004) A Review of Genetic Algorithms Applied to Training Radial Basis Function Networks, Neural Computing & Applications, 13(3), pp.193-201, ISSN: 1433-3058. DOI: 10.1007/s00521-004-0404-5.

Wilby, RL, Abrahart, RJ, Dawson, CW (2003) Detection of conceptual model rainfall-runoff processes inside an artificial neural network, HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 48(2), pp.163-181, ISSN: 0262-6667. DOI: 10.1623/hysj.48.2.163.44699.

Wilby, RL, Abrahart, RG, Dawson, CW (2003) Detection of Conceptual Model Rainfall-runoff Processes Inside an Artificial Neural Network, Hydrological Sciences Journal, 42(8), pp.163-181, ISSN: 0262-6667.

Wilby, RL, Tomlinson, OJ, Dawson, CW (2003) Multi-site Simulation of Daily Precipitation by Regression-based Downscaling, Climate Research, (23), pp.183-194, ISSN: 0936-577X.

Abrahart, RJ, Dawson, CW, See, L, Wilby, RL (2003) 'Neural Network Strategies For Issuing Flood Warning Alerts', Geophysical Research Abstracts 5: 02485, ISSN: 1029-7006.

Yang, L, Gell, M, Dawson, CW, Brown, MR (2003) Clustering Hoax Fire Calls Using Evolutionary Computation Technology, Developments in Applied Artificial Intelligence Lecture Notes in Artificial Intelligence, 2718, pp.644-652.

Wilby, RL, Tomlinson, OJ, Dawson, CW (2003) Multi-site simulation of precipitation by conditional resampling, Climate Research, 23, pp.183-194.

Dawson, CW, Harpham, C, Wilby, RL, Chen, Y (2002) Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China, HYDROLOGY AND EARTH SYSTEM SCIENCES, 6(4), pp.619-626, ISSN: 1027-5606. DOI: 10.5194/hess-6-619-2002.

Wilby, RL, Dawson, CW, Barrow, EM (2002) SDSM - A Decision Support Tool for the Assessment of Regional Climate Change Impacts, Environmental Modelling & Software, 17(2), pp.145-157, ISSN: 1364-8152. DOI: 10.1016/S1364-8152(01)00060-3.

Dawson, CW, Harpham, C, Wilby, RL, Chen, Y (2002) An Evaluation of Artificial Neural Network Techniques for Flow Forecasting in the River Yangtze, China, Hydrology and Earth System Sciences, 6(4), pp.619-626.

Wilby, RL, Dawson, CW, Barrow, EM (2002) SDSM - a decision support tool for the assessment of regional climate change impacts, ENVIRONMENTAL MODELLING & SOFTWARE, 17(2), pp.147-159, ISSN: 1364-8152.

Dawson, CW and Wilby, RL (2001) Hydrological modelling using artificial neural networks, Progress in Physical Geography, 25(1), pp.80-108, ISSN: 0309-1333. DOI: 10.1191/030913301674775671.

Dawson, CW and Wilby, RL (2001) Hydrological Modelling Using Artificial Neural Networks, Progress in Physical Geography, 25(1), pp.80-108, ISSN: 0309-1333.

Dawson, CW and Wilby, RL (2001) Hydrological modelling using artificial neural networks, Progress in Physical Geography, 25, pp.80-108.

Dawson, CW, Brown, MR, Wilby, RL (2000) Inductive Learning Approaches to Rainfall-runoff Modelling, International Journal of Neural Systems, 10(1), pp.43-57, ISSN: 0129-0657.

Dawson, CW, Brown, M, Wilby, RL (2000) Inductive learning approaches to rainfall-runoff modelling, International Journal of Neural Systems, 10, pp.43-57.

Dawson, CW and Wilby, RL (1999) A Comparison of Artificial Neural Networks Used for River Flow Forecasting, Hydrology and Earth System Sciences, 3(4), pp.529-540, ISSN: 1027-5606.

Dawson, CW and Dawson, RJ (1998) Practical Proposals for Managing Uncertainty and Risk in Project Planning, International Journal of Project Management, 16(5), pp.299-310, ISSN: 0263-7863.

Dawson, CW and Wilby, RL (1998) An Artificial Neural Network Approach to Rainfall-Runoff Modelling, Hydrological Sciences Journal, 43(1), pp.47-66, ISSN: 0262-6667.

Dawson, CW (1995) A dynamic sampling technique for the simulation of probabilistic and generalized activity networks, Omega, 23(5), pp.557-566, ISSN: 0305-0483. DOI: 10.1016/0305-0483(95)00026-k.

Dawson, CW and Dawson, RJ (1995) Generalised Activity-on-the-Node Networks for Managing Uncertainties in Projects, International Journal of Project Management, 13(6), pp.353-362, ISSN: 0263-7863.

Dawson, CW (1995) A Dynamic Sampling Technique for the Simulation of Probabilistic and Generalised Activity Networks, OMEGA, The International Journal of Management Science, 23(5), pp.557-566, ISSN: 0305-0483.

Dawson, CW and Dawson, RJ (1995) Towards More Flexible Management of Software Systems Development Using Metamodels, Software Engineering Journal, 10(3), pp.79-88, ISSN: 0268-6961.

Conferences

Wilby, R and Dawson, C (2023) Conceptual development and use of downscaled climate model information [Abstract]. In EGU General Assembly 2023; EGU General Assembly 2023, Vienna, Austria. DOI: 10.5194/egusphere-egu23-3343.

Thilakarathna, C, Dawson, C, Edirisinghe, E (2022) Using Financial Ratios with Artificial Neural Networks for Bankruptcy Prediction. In , 2022 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2022, pp.55-58, DOI: 10.1109/ICAICA54878.2022.9844640.

Humphrey, GB, Maier, HR, Wu, W, Mount, NJ, Dandy, GC, Dawson, C (2021) Beyond validation: assessing the legitimacy of artificial neural network models. In Vervoort, RW, Voinov, AA, Evans, JP, Marshall, L (ed) 24th International Congress on Modelling and Simulation; Proceedings of the 24th International Congress on Modelling and Simulation, Sydney, Australia, pp.85-91, ISBN: 9780987214386. DOI: 10.36334/modsim.2021.a3.humphrey.

Gazzawe, F, Lock, R, Dawson, C (2020) Traceability framework for requirement artefacts. In Bhatia, KASKR (ed) Science and Information Conference (SAI 2020); Intelligent Computing: Proceedings of the 2020 Computing Conference, London, United Kingdom, pp.97-109, ISBN: 9783030522483. DOI: 10.1007/978-3-030-52249-0_7.

Al-Ruzeiqi, SKS and Dawson, C (2018) Optimizing Deep Learning Model for Neural Network Topology. In Intelligent Systems Conference (IntelliSys) 2018, London.

Gazzawe, F, Lock, R, Dawson, C (2018) Use of ontology in identifying missing artefact links. In 7th International Conference on Software and Computer Applications, Kuanton, Malaysia,ISBN: 9781450354141.

Al-Ruzeiqi, S and Dawson, C (2018) New modification version of principal component analysis with kinetic correlation matrix using kinetic energy. In Future of Information and Communication Conference (FICC) 2018, Singapore,ISBN: 9783030034016. DOI: 10.1007/978-3-030-03402-3_30.

Alsuwaiket, M, Dawson, C, Batmaz, F (2016) Measuring the credibility of student attendance data in higher education for data mining. In International Conference on Knowledge and Education Technology, University of Hertfordshire.

Omar, MSH, Chung, PWH, Dawson, CW (2013) A novel workflow management system for handling process adaptation and compliance. In , Proceedings - 27th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2013, pp.1174-1179, DOI: 10.1109/WAINA.2013.258.

Saini, SS, Dawson, CW, Chung, PWH (2011) Mimicking player strategies in fighting games. In , 2011 IEEE International Games Innovation Conference, IGIC 2011, pp.44-47, DOI: 10.1109/IGIC.2011.6115128.

Saini, S, Chung, PWH, Dawson, CW (2011) Mimicking human strategies in fighting games using a data driven finite state machine. In Information Technology and Artificial Intelligence Conference, Proceedings of ITAIC 2011, Chongqing, China, pp.389-393, ISBN: 978-1-4244-8622-9.

Saad, A, Chung, PWH, Dawson, CW (2011) Case representation and adaptation in SmartLP: A web-based lesson planning system. In , ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, pp.440-445.

Shubati, A, Dawson, CW, Dawson, R (2011) Artefact generation in second life with case-based reasoning. In 9th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2009), SOFTWARE QUALITY JOURNAL, Edmonton, CANADA, pp.431-446, DOI: 10.1007/s11219-010-9125-4.

Shubati, A, Dawson, RJ, Dawson, CW (2010) A Second Life Development Tool Using Feedback for Continuous Improvement. In Dawson, , Ross, Staples, (ed) Proceedings of Software Quality Management XVIII: Quality Issues for Today, Southampton, UK, pp.135-146, ISBN: 978-0-9557300-8-5.

Saad, A, Chung, PWH, Dawson, CW (2010) A web based lesson planning system assistant based on case based reasoning (CBR). In EDULEARN 10, Proceedings of EDULEARN10 Conference, Barcelona, Spain, pp.2245-2254, ISBN: 978-84-613-9386-2.

Saad, A, Chung, PWH, Dawson, CW (2010) The development of lesson planning system based on case based reasoning (CBR). In Informatics 2010, Proceedings of Informatics 2010, Freiburg, Germany, pp.231-234, ISBN: 978-972-8939-19-9.

Dawson, CW and Abrahart, RJ (2010) Input sensitivity analysis of neural network models for flood event prediction in ungauged catchments. In European Geosciences Uniion General Assembly, Austria, pp.1-10.

Shubati, A, Dawson, CW, Dawson, RJ (2009) A Methodology for Developing Second Life Environment Using Case-Based Reasoning. In Dawson, , Ross, Staples, (ed) Software Quality Management XVII (SQM2009), Proceedings of Software Quality Management XVII : Software Quality in the 21st Century, Southampton, UK, pp.155-166, ISBN: 978-1-906124-22-9.

Dawson, CW (2008) Downscaling approaches of GCM outputs: statistical and neural network models. In International Symposium on Hydrology, Hydraulics and Water Issues, Kyoto, Japan, pp.37-50.

Saad, A, Dawson, CW, Chung, PWH (2008) Pre-Service Teachers and Lesson Preparation Using Online Resources. In International Conference on Teacher Education in the Muslim World (ICTEM2008), Kuala Lumpur, Malaysia.

Dawson, CW and Abrahart, RJ (2008) Backpropagation of error modelling applied to the River Ouse dataset. In European Geosciences Union, General Assembly, Vienna, Austria.

Dawson, CW and Abrahart, RJ (2008) Hydroformatics Challenge II: comparison of results and construction of ensemble forecasts. In European Geosciences Union, General Assemble, Vienna, Austria.

Abrahart, RJ and Dawson, CW (2008) Modelling non-linear processes and hydrometeorological thresholds with M5P. In European Geosciences Union, General Assembly, Vienna, Austria.

Abrahart, RJ and Dawson, CW (2008) Time marching forward testing of two neural network rainfall-runoff models. In European Geosciences Union, General Assembly, Vienna, Austria.

Abrahart, RJ and Dawson, CW (2008) Hydroinformatics Challenge II: standard comparisons. In European Geosciences Union, General Assembly, Vienna, Austria.

Dawson, CW and Abrahart, RJ (2008) Cateogorisation of hidden unit activity in a neurohydrological model. In European Geosciences Union, General Assemble, Vienna, Austria.

Dawson, CW and Abrahart, RJ (2008) Neural network modelling of two river flow systems in Iceland. In European Geosciences Union, General Assembly, Vienna, Austria.

Dawson, CW (2008) Neural Network Solutions to Flood Estimation at Ungauged Sites. In Abrahart, RJ, See, LM, Solomatine, DP (ed) General Assembly of the European-Union-of-Geosciences, PRACTICAL HYDROINFORMATICS: COMPUTATIONAL INTELLIGENCE AND TECHNOLOGICAL DEVELOPMENTS IN WATER APPLICATIONS, Vienna, AUSTRIA, pp.49-57, ISBN: 978-3-540-79880-4.

Heppenstall, AJ, See, LM, Abrahart, RJ, Dawson, CW (2008) Neural Network Hydrological Modelling: An Evolutionary Approach. In , PRACTICAL HYDROINFORMATICS: COMPUTATIONAL INTELLIGENCE AND TECHNOLOGICAL DEVELOPMENTS IN WATER APPLICATIONS, pp.319-+, ISBN: 978-3-540-79880-4.

See, LM, Jain, A, Dawson, CW, Abrahart, RJ (2008) Visualisation of Hidden Neuron Behaviour in a Neural Network Rainfall-Runoff Model. In , PRACTICAL HYDROINFORMATICS: COMPUTATIONAL INTELLIGENCE AND TECHNOLOGICAL DEVELOPMENTS IN WATER APPLICATIONS, pp.87-+, ISBN: 978-3-540-79880-4.

Abrahart, RJ, See, LM, Dawson, CW (2008) Neural Network Hydroinformatics: Maintaining Scientific Rigour. In , PRACTICAL HYDROINFORMATICS: COMPUTATIONAL INTELLIGENCE AND TECHNOLOGICAL DEVELOPMENTS IN WATER APPLICATIONS, pp.33-+, ISBN: 978-3-540-79880-4.

Anstey, JS, Peters, DK, Dawson, C (2007) An improved feature extraction technique for high volume time series data. In , Proceedings of the 4th IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, SPPRA 2007, pp.74-81.

Dawson, CW (2007) Human computer interaction issues of hand-held performance monitoring systems in soccer. In 6th International Symposium on Computer Science in Sport, Calgary, Canada.

Dawson, CW and Abrahart, RJ (2007) Evaluation of two different methods for using the antecedent precipitation index in neural network river stage forecasting. In European Geosciences Union General Assembly, Geophysical Research Abstracts, Vienna, Austria.

Abrahart, RJ, Dawson, CW, Han, D, Coulibaly, P, Jain, A, Shamseldin, AY (2007) Hydroinformatics Forecasting Contest 1: motivation, catchment, description and performance benchmarking. In European Geosciences Union General Assembly, Geophysical Research Abstracts, Vienna, Austria.

Dawson, CW and Abrahart, RJ (2007) The provision of an online neural network system for flood estimation in ungauged catchments. In European Geosciences Union General Assembly, Geophysical Research Abstracts, Vienne, Austria.

Dawson, CW and Abrahart, RJ (2007) Hydroinformatics Forecasting Contest 1: comparison of results and construction of ensemble forecasts. In European Geosciences Union General Assemble, Geophysical Research Abstracts, Vienna, Austria, pp.15-20.

Abrahart, RJ, Dawson, CW, See, LM (2006) Neural Network Rainfall-Runoff Modelling: Using Output Catalyst Hints to Develop Increased Internal Specialization. In Proceedings 7th International Conference on Hydroinformatics, Nice, France, pp.-.

Abrahart, RJ, Dawson, CW, See, LM (2006) Neural Network Rainfall-runoff Modelling: Using Output Catalyst Hints to Develop Increased Internal Specialisation. In 7th International Conference on Hydroinformatics, Nice, France.

Shamseldin, AY, Dawson, CW, Abrahart, RJ (2006) Assessment of Uncertainties in the River Flow Forecasts of an Artificial Neural Network Model. In 7th International Conference on Hydroinformatics, Nice, France.

Dawson, CW, See, L, Abrahart, RJ, Wilby, RL, Shamseldin, AY, Anctil, F, Belbachir, AN, Bowden, G, Dandy, G, Lauzon, N, Maier, H (2005) A Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting. In International Joint Conference on Neural Networks, Montreal.

Dawson, CW, Abrahart, RJ, Shamseldin, AY, Wilby, RL, See, LM (2005) Neural network modelling of the 20-year flood event for 850 catchments across the UK. In , International Joint Conference on Neural Networks, Montreal.

Mongru, DS and Dawson, CW (2005) An Empirical Study of Schemata and the I2GA. In Hamza, H, M, ed, (ed) Proceedings of the IASTED International Conference on Computational Intelligence, The Fourth IASTED International Conference on Computational Intelligence, Calgary, Canada, pp.375-386, ISBN: 0-88986-479-9.

Abrahart, RJ, Dawson, CW, See, L (2005) Hydrological modelling: on questions of robustness and graceful degradation. In Geophysical Research Abstracts, European Geosciences Union, General Assembly, Vien.

Dawson, CW, Abrahart, RJ, Shamseldin, AY, Wilby, RL, See, LM (2005) Neural network solutions to flood extimation at ungauged sites. In Geophysical Research Abstracts, European Geosciences Union, General Assembly, Vien.

Mongru, DR and Dawson, CW (2005) The Inversion Intron Genetic Algorithm (I2GA). In AIA 2005, IASTED International Conference on Artificial Intelligence and Applications, ? .

Abrahart, RJ and Dawson, CW (2005) Neural Network Hydrological Modelling: Linear Output Activation Functions?. In Fall Meeting Supplement: H54B-03, Eos Transactions of the American Geophysical Union, .

Dawson, CW, Abrahart, RJ, Shamseldin, AY, Wilby, RL, See, LM (2005) Neural network modelling of the 20-year flood event for 850 catchments across the UK. In IEEE International Joint Conference on Neural Networks (IJCNN 2005), Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5, Montreal, CANADA, pp.2637-2642, ISBN: 0-7803-9048-2.

Dawson, CW, See, LM, Abrahart, RJ, Wilby, RL, Shamseldin, AY, Anctil, F, Belbachir, AN, Bowden, G, Dandy, G, Lauzon, N, Maier, H, Mason, G (2005) A comparative study of artificial neural network techniques for river stage forecasting. In IEEE International Joint Conference on Neural Networks (IJCNN 2005), Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5, Montreal, CANADA, pp.2666-2670, ISBN: 0-7803-9048-2.

Madden, M, Chung, PWH, Dawson, CW (2004) Storytelling, Storyboarding, Storywriting: Proposing a New Computer Tool for Narrative. In Uskov, VE (ed) IASTED, Proceedings of the Seventh IASTED International Conference on Computers and Advanced Technology in Education, Kauai, Hawaii, pp.260-265.

Dawson, CW (2004) Data Scaling Problems of Artificial Neural Networks in rainfall-Runoff Modelling. In International Conference on Artificial Intelligence, Las Vegas.

Abrahart, RJ, Dawson, CW, Wilby, RL (2004) Neural Network Rainfall-Runoff Modelling Based on the Standardized Precipitation Index. In European Geosciences Union, Nice.

Dawson, CW (2004) Data scaling problems of artificial neural networks in rainfall runoff modelling. In Arabnia, HR and Mun, Y (ed) International Conference on Artificial Intelligence/International Conference on Machine Learning, Models, Technologies and Applications, IC-AI '04 & MLMTA'04VOL 1 AND 2, PROCEEDINGS, Las Vegas, NV, pp.195-195, ISBN: 1-932415-33-5.

Yang, L, Gell, M, Dawson, CW, Brown, MR (2003) 'Clustering Hoax Fire Calls Using Evolutionary Computation Technology. In Chung, H, PW, Hinde, C, Ali, eds, M (ed) The 16th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems, Developments in Applied Artificial Intelligence, Loughborough, pp.644-652.

Dawson, CW and al-, E (2002) ANNEXG - Artificial Neural Network Experiment Group. In British Hydrological Society 8th National Hydrology Symposium, An International Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting, Birmingham University, UK, pp.75-81, ISBN: 1-85312-925-9.

Yang, L, Brown, MR, Dawson, CW, Gell, M (2002) Prediction of Dwelling Fire Occurrences Using Data Mining Technologies. In Zanasi, A, Brebbia, A, C, Ebecken, E, NFF, Melli, eds, P (ed) Data Mining III, Third International Conference on Data Mining Methods, Bologna, Italy, pp.705-714, ISBN: 1-85312-925-9.

Yang, L, Brown, MR, Dawson, CW, Gell, M (2002) Identification of High Risk Area of Hoax Fire Calls Using an Iterative GA. In The 8th Chinese Automation and Computer Science Conference, Manchester, pp.133-136, ISBN: 0953389057.

Abrahart, RJ, Wilby, RL, Dawson, CW (2001) Inferring Conceptual Rainfall Run-off Model Processes with Artificial Neural Networks. In European Geophysical Society General Assembly, Nice.

Yang, L, Brown, MR, Dawson, CW, Bullock, D (2000) Decision Tree Inductive Learning Approach to Fire Risk Classification. In Hu, H and Wu, ME (ed) Proceedings of the 6th Chinese Automation and Computer Conference in the UK, Loughborough, UK, pp.157-160, ISBN: 0-9533890-3-0.

Dawson, CW, Wilby, R, Harpham, C, Brown, MR, Cranston, E, Darby, EJ (2000) Modelling Ranunculus Presence in the Rivers Test and Itchen Using Artificial Neural Networks. In Abrahart, RJ and Carlisle, BHE (ed) , Proceedings of the 5th International Conference on Geocomputation, ISBN: 0-9533477-2-9.

Wilby, RL and Dawson, CW (2000) Forecasting Summer Rainfall And Runoff In The British Isles Using Preceding Winter Atmospheric Circulation Patterns'. In European Geophysical Society General Assembly, Nice.

Dawson, CW and Wilby, RL (2000) An Evaluation of Artificial Neural Network Techniques for Flow Forecasting in theRiver Yangtze. In European Geophysical Society General Assembly, Nice.

Dawson, CW (1998) Artificial neural network approach to software testing effort estimation. In , Applications of Artificial Intelligence in Engineering, p.145.

Dawson, CW (1998) An Artificial Neural Network Approach to Software Testing Effort Estimation. In Rzevski, G, Adey, A, R, Nolan, eds, P (ed) AIENG XIII, Applications of Testing Effort Estimation', Galway, Ireland, pp.641-651, ISBN: 1853125962.

Dawson, CW, Wilson, PD, Beard, AN (1998) An artificial neural network for flashover prediction. A preliminary study. In , Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.254-262, DOI: 10.1007/3-540-64582-9_755.

Dawson, RJ and Dawson, CW (1996) Managing Uncertainty and Risk in Project Planning. In Association, SRD (ed) Proceedings of a Technical Symposium on the Practical Experiences in Management and Assessment of Risks in Safety Related/Critical and Business Systems and Devices, Warrington, UK, pp.79-100, ISBN: 0-7058-1732-6.

Dawson, CW and Dawson, RJ (1995) Managing Quality and Configuration within a Flexible Software Development Environment. In Ross, M, Brebbia, A, C, Staples, G, Stapleton, eds, J (ed) SQM 95, Software Quality Management III, Seville, pp.13-24.

Dawson, CW (1994) Simulation of Probabilistic Activity Networks with Various Discrete Activity Temporal Functions. In Systems Analysis, Control and Design. Association for the Advancement of Modelling and Simulation Techniques in Enterprises, Lyon, pp.97-108, ISBN: 2-909214-57-5.

Dawson, CW (1994) Simulation of Probabilistic Activity Networks with Various Continuous Activity Temporal Functions. In Tenth International Conference on Systems Engineering, Coventry, pp. 247-255, ISBN: 0905949234.

Dawson, CW and Dawson, RJ (1993) An Artificial Intelligence Approach to Software Development Management and Planning. In Rzevski, G, Pastor, J, Adey, eds, RA (ed) Applications of Artificial Intelligence in Engineering VIII, Design, Methods and Techniques, Toulouse, France, pp.135-150, ISBN: 1-85166-838-1.

Dawson, CW and Dawson, RJ (1993) Simulation of Stochastic and Generalised Activity Networks. In Systems Analysis, Control and Design. Association for the Advancement of Modelling and Simulation Techniques in Enterprises, pp.41-55, ISBN: 2-909214-44-3.

Dawson, CW and Dawson, RJ (1993) An Artificial Intelligence Approach to Software Development Management and Planning. In Rzevski, G, Pastor, J, Adey, eds, RA (ed) Applications of Artificial Intelligence in Engineering VIII: Design Methods and Techniques, Southampton, pp.135-150.

Books

Dawson, CW (ed) (2016) Applied Artificial Neural Networks, Applied Sciences, ISBN: 978-3-03842-270-9.

Chung, P, Soltoggio, A, Dawson, C, Meng, Q, Pain, M (ed) (2015) Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS), Springer, ISBN: 978-3-319-24558-4. DOI: 10.1007/978-3-319-24560-7.

Dawson, CW (2015) Projects in computing and Information Systems, Pearson, ISBN: 9781292073460.

Dawson, CW (2009) Projects in Computing and Information Systems (2nd Edition), Addison Wesley, ISBN: 978-0-273-72131-4.

Dawson, CW (2005) Projects in Computing and Information Systems, Addison Wesley, ISBN: 0-321-26355-3.

Dawson, CW (2000) The Essence of Computing Projects, Prentice Hall, ISBN: 0-13-021972-X.

CD Objects

Dawson, CW, See, L, Abrahart, RJ, Wilby, RL, Shamseldin, AY, Anctil, F, Belbachir, AN, Bowden, G, Dandy, G, Lauzon, N, Maier, H (2005) A Comparative Study of Artificial Neural Network Techniques for River Stage Forecasting,.

Abrahart, RJ and Dawson, CW (2005) Neural Network Hydrological Modelling: Linear Output Activation Functions?,.

Abrahart, RJ, Dawson, CW, See, L, Wilby, RL (2003) 'Neural Network Strategies For Issuing Flood Warning Alerts',.

Dawson, CW, Wilby, R, Harpham, C, Brown, MR, Cranston, E, Darby, EJ (2000) Modelling Ranunculus Presence in the Rivers Test and Itchen Using Artificial Neural Networks,University of Greenwich, UK, ISBN: 0-9533477-2-9.

Chapters

Dawson, CW and Mount, N (2016) On the Physical and Operational Rationality of Data-Driven Models for Suspended Sediment Prediction in Rivers. In Sharma, N (ed) River System Analysis and Management, Springer, pp.31-44, ISBN: 9789811014727.

Mount, NJ, Abrahart, RJ, Dawson, CW (2016) On the physical and operational rationality of data-driven models for suspended sediment prediction in rivers. In Sharma, N (ed) River systems analysis and management, pp.31-44, ISBN: 978-981-10-1471-0.

Dawson, CW, Mount, NJ, Abrahart, RJ (2015) On the Physical and Operational Rationality of Data-Driven Models for Suspended Sediment Prediction in Rivers. In River System Analysis and Management, Springer, pp.31-44.

Dawson, CW (2011) Downscaling. In Kojiri, T (ed) Mid-term Report of The Climate Chang Working Group - A State of Art on Climate Change in IAHR, pp.1-15.

Abrahart, RJ, See, LM, Dawson, CW, Shamseldin, AY, Wilby, RL (2010) Nearly Two Decades of Neural Network Hydrology Modeling. In Sivakumar, B and Berndtsson, R (ed) Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting, World Scientific Publishing, pp.267-347, ISBN: 978-981-4307-97-0.

Abrahart, RJ, See, LM, Dawson, CW, Shamseldin, AY, Wilby, RL (2010) Nearly Two Decades of Neural Network Hydrologic Modeling. In Sivakumar, B and Berndtsson, R (ed) Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting, World Scientific Publishing, pp.267-347, ISBN: 978-981-4307-97-0.

Turner, J and Dawson, CW (2008) The Project of Life-cycle. In Unknown Parent Title, Gower, pp.527-546.

Dawson, CW, Abrahart, RJ, See, LM, Solomatine, D (2008) Neural network solutions to flood estimation in ungauged sites. In Unknown Parent Title, Springer-Verlag, Chapter 4.

See, LM, Jain, A, Dawson, CW, Abrahart, RJ (2008) Visualisation of hidden neuron behaviour in a neural network rainfall-runoff model. In Unknown Parent Title, Springer-Verlag, Chapter 7.

Abrahart, RJ, See, LM, Dawson, CW (2008) Neural network hydroinformatics. In Unknown Parent Title, Springer-Verlag, Chapter 3.

Dawson, CW and Wilby, RL (2004) Single Network Modelling Solutions. In Abrahart, J, R, Kneale, E, P, See, eds, L (ed) Neural Networks for Hydrological Modelling, Taylor & Francis, pp.39-60, ISBN: 90-5809619-X.

Dawson, CW (2000) Chapter 23 - Managing the Project Life Cycle. In Rodney Turner, J and Simister, SJE (ed) Handbook of Project Management (3rd Edition), Gower, pp.431-450, ISBN: 0-566-08138-5.

Thesis/Dissertation

Dawson, C (1994) Software development management using metamodels and activity networks.

Datasets

Wilby, R, Dawson, C, Yu, D, Herring, Z, Baruch, A, Ascott, MJ, Finney, DL, Macdonald, DMJ, Marsham, JH, Matthews, T, Murphy, C (2022) Supplementary information files for Spatial and temporal scaling of sub-daily extreme rainfall for data sparse places, DOI: 10.17028/rd.lboro.21695972.

Other

Wilby, RL and Dawson, CW (2001) Using SDSM - A decision support tool for the assessment of regional climate change impacts.

Cranston, LE, Darby, EJ, Wilby, RL, Dawson, CW, Spink, A, Bickerton, M (1998) Macrophyte Status in Rivers Test and Itchen 1997.

Dawson, CW (1995) Application of Neural Networks to Software Project Cost/Time Estimation.