Publications by John Yearwood

2013
  1. Islam, M., Watters, P.A., Yearwood, J., Hussain, M. & Swarna, L. (2013). Illicit image detection using erotic pose estimation based on kinematic constraints. Lecture Notes in Electrical Engineering Volume, 152, pp 481-495.
  2. Seifollahi, S., Mammadov, M. Yearwood. J. (2013) Attribute Weighted Naive Bayes Classifer Using Local Optimization. Accepted for publication in Neural Computing and Applications
  3. Zhao, L., Mammadov, M., Yearwood, J.L, (2014) A new loss function for robust classification. Intelligent Data Analysis, 14(4) (accepted 1-1-2013)
2012
  1. Abawajy, J., Beliakov, G., Kelarev, A., Yearwood, J., (2012) Performance evaluation of multi-tier ensemble classifiers for phishing websites, Applications and Techniques in Information Security, ATIS, 2012, pp. 11--17.
  2. Beliakov, G., Yearwood, J., Kelarev, A., (2012) Application of rank correlation, clustering and classification in information security, Journal of Networks, Journal of Networks, 7, pp.935-955
  3. Beliakov, G., Kelarev, A., Yearwood, J., (2012) Global non-smooth optimization in robust multivariate regression, Optimization, accepted.
  4. Bolger, F., Stranieri A., Wright, G., Yearwood, J. (2012) Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters? Technological Forecasting and Social Change, 78, 9pp.1671-1680, ISSN : 0040-1625.
  5. Graymore, M. L. M., Mays, H., Stranieri, A., McRae-Williams, P., Lehmann, L. V., Thoms, G. and Yearwood, J. (2012) (under review). A Reasoning Framework for Decision Making in Water Allocation: a tree for water decisions. Environmental Management and Software
  6. Graymore, M. L. M., Stranieri, A., McRae-Williams, P., Mays, H., Lehmann, L. V., Thoms, G. and Yearwood, J. (in press).(2012) Water Allocation Argument Tree (WAAT): a tool for facilitating public participation in water allocation decisions.  In Graymore, P. McRae-Williams, Barton A. and L Lehmann (Eds.) Pipes, Ponds and People: Adaptive water management in Drylands. Mt Helen, Victoria: VURRN Press Inc. pp227-254.
  7. Kelarev, A.V.,  Stranieri, A., Yearwood, J.L.,  and Jelinek, H.F., Empirical Study of Decision Trees and Ensemble Classifiers for Monitoring of Diabetes Patients in Pervasive Healthcare, NBiS-2012, Network-Based Information Systems, (26-28 September 2012, Melbourne, Australia) pp 441-446
  8. Kelarev, A.V., Dazeley, R., Stranieri, A., Yearwood, J.L., Jelinek, H.F., Detection of CAN by Ensemble Classifiers based on Ripple Down Rules, PKAW2012: Pacific Rim Knowledge Acquisition Workshop, 5-6 September, Kuching, Sarawak, Malaysia 2012, Lecture Notes in Computer Science 7457 (2012), 147--159.
  9. Kelarev, A., Stranieri, A., Yearwood, J., Jelinek, H., Empirical Study of Decision Trees and Ensemble Classifiers for Monitoring of Diabetes Patients in Pervasive Healthcare, Network-Based Information Systems, NBiS-2012, accepted.
  10. Kelarev A.V., Yearwood J.L., Zi Lifang, (2012) Optimal Rees matrix constructions for analysis of data, Journal of the Australian Mathematical Society, http://dx.doi.org/10.1017/S1446788711001510
  11. Yearwood, J., and Stranieri, A., (2012) Approaches for Community Decision Making and Collective Reasoning, IGI Global Press. 307 pages.
  12. Yearwood, J., Mammadov, M.A., Webb, D., (2012) Profiling phishing activity based on hyperlinks extracted from phishing emails., Social Network Analys. Mining. 01/2012; 2:5-16.
2011
  1. Beliakov G, Yearwood. J, Kelarev A, An Application of Novel Clustering Technique for Information Security., In Matthew Warren (ed(s)), Applications and Techniques in Information Security Workshop (Melbourne, School of Information Systems, Deakin University, 2011), pp.5-11.
  2. Gao, D.Y., Kelarev, A.V., Yearwood, J.L., Optimization of matrix semi-rings for classification systems, Bulletin of the Australian Mathematical Society, 84 (2011), 492-503., ISSN : 000409727.
  3. Huda M S, Yearwood J., Stranieri A., Hybrid wrapper-filter approaches for input feature selection using maximum relevance and artificial neural network input gain measurement approximation (ANNIGMA)., In Mark Reynolds (ed(s)), Computer Science 2011 (Sydney, Australia, Australian Computer Society Inc., 2011), 113, pp.43-52.
  4. Islam M, Watters P, Yearwood J., Child face detection using age specific luminance invariant geometric descriptor., in unknown (ed(s)), 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA2011) (unknown, IEEE, 2011), pp.34-39.
  5. Jagodic J, Courvisanos J, Yearwood J., ICT Change Agents: Global Actors in Financial Services Technology Projects., Asia Pacific Management Review, 16, 2 (2011) pp.165-180., ISSN : 1029-3132.
  6. Kelarev, A.V., Yearwood, J.L.,  Vamplew,P.W.,  Abawajy, J.H., Chowdhury, M., Optimization and matrix constructions for classification of  data, New Zealand Journal of Mathematics, 41 (2011), 65-73.
  7. Kelarev, A.V., Yearwood, J.L., Watters, P.A., Optimization of classifiers for data mining based on combinatorial semigroups, Semigroup Forum 82 (2011), 242-251., ISSN : 0037-1912.
  8. Kelarev, A.V., Yearwood, J.L., Watters, P., Ma, L., Abawajy, J.H., and L. Pan, A Grobner-Shirshov algorithm for information security applications, Southeast Asian Bulletin of Mathematics, 35 (2011), 1-14.
  9. Miah M. W. R., Yearwood J., Kulkarni S., Detection of child exploiting chats from a mixed chat dataset as a text classification task., in Diego Molla and David Martinez (ed(s)), Proceedings of the Workshop ALTA (Canberra, Australia, ALTA, 2011), 9, pp.157-165.
  10. Mukherjee S, Yearwood J., Vamplew P, Huda M S, Reinforcement learning approach to AIBO robot's decision making process in robosoccer's goal keeper problem. In unknown (ed(s)), Proceedings - 2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence Networking and Parallel Distributed Computing (unknown, IEEE, 2011), pp.24-30.
  11. Stranieri A., Yearwood J., A case for the re-use of community reasoning., in John Yearwood (University of Ballarat, Australia); Andrew Stranieri (University of Ballarat, Australia) (ed(s)) of Technologies for Supporting Reasoning Communities and Collaborative Decision-Making: Cooperative Approaches (Hershey, PA2011, IGI Global) pp. 237-250. ISBN 978-1-60960-091-4.
  12. Sun, Z., Dong, D., Yearwood J., Demand Driven Web Services, in Ho-fung Leung (ed(s)) of Service Intelligence and Service Science: Evolutionary technologies and challenges (Hershey, PA2011, IGI Global) pp. 35-55. ISBN 978-1-61520-819-7.
  13. Torney, R., Yearwood, J., Vamplew, P., Kelarev, A., (2011), Applications of Machine Learning for Linguistic Analysis of Texts, In: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, IGI Global.
  14. Yearwood J., Stranieri A, A reasoning community perspective on deliberative democracy., In: John Yearwood (University of Ballarat, Australia); Andrew Stranieri (University of Ballarat, Australia) (ed(s)) of Technologies for Supporting Reasoning Communities and Collaborative Decision-Making: Cooperative Approaches (Hershey, PA2011, IGI Global) pp. 94-111. ISBN 978-1-60960-091-4.
  15. Yearwood, J., Bagirov, A., Kelarev, A., Machine learning algorithms for analysis of DNA data sets, In: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, IGI Global, 2011.
  16. Yearwood J., Baghirov A., Seifollahi S., A novel hybrid neural learning algorithm using simulated annealing and quasisecant method. In: Vamplew, Stranierei, Ong, Christen and Kennedy (ed(s)), Data Mining and Analytics 2011. Proceedings of the Ninth Australiasian Data Mining Conference (Australia, ACM Digital Library, 2011), 121, pp.205-210.
  17. Yearwood J., and Stranieri, A., (2011) (Eds) Technologies for Supporting Reasoning Communities and Collaborative Decision Making: Cooperative Approaches. IGI Global Press.
  18. Zhang, J., Gao, D., Yearwood, J., A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling., Journal of Theoretical Biology, 2011, 284 pp.149-157., ISSN : 0022-5193.
2010
  1. Dazeley, R., Yearwood, J.L., Kang, B.H., Kelarev, A.V.,  Consensus clustering and supervised classification for profiling phishing emails in internet commerce security, In: Knowledge Management and Acquisition for Smart Systems and Services, PKAW2010, Lecture Notes in Computer Science 6232 (2010), 235-246.
  2. Huda, M. S., Yearwood, J., Togneri, R., A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modelling., IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 39, 1 (2010) pp.182-197., ISSN : 1083-4419.
  3. Huda, M. S., Jelinek, H., Ray, B., Stranieri, A., Yearwood, J., 'Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a Hybrid of Wrapper-Filter based feature selection' in S Marusic, M Palaniswami, J Gubbi, P Corke (ed(s)), Proceedings of ISSNIP 2010, Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (USA, IEEE, 2010), pp.297-302.
  4. Huda M S, Yearwood J., Borland R, 'Cluster based rule discovery model for enhancement of governement's tobacco control strategy' in Unknown (ed(s)), NSS 2010 Program and Information Booklet (Unknown, Unknown, 2010), pp.1-8.
  5. Huda, M. S., Yearwood J., Borland R., Smokers characteristics and cluster based quitting rule discovery model for enhancement of government's tobacco control systems., in Unknown (ed(s)), 14th PACIS 2010: Proceedings of the 14th Pacific Asia Conference on Information Systems (Unknown, Unknown, 2010), pp.672-683.
  6. Islam M, Yearwood J., Vamplew P, Unsupervised Segmentation of Industrial Images using Markov Random Field Model., In: Magued Iskander, Vikram Kapila, Mohammad A Karim (ed(s)), Technological Developments in Education and Automation (The Netherlands, Springer, 2009), pp.369-374.
  7. Kelarev, A.V.,  Yearwood, J.L.,  Watters, P.W.,  Internet security applications of Grobner-Shirshov bases, Asian-European Journal of Mathematics. 3 (2010), 435-442.
  8. Kelarev, A.V., Yearwood, J.L.,  Watters, P.A., Wu, X.W.,  Abawajy, J.H., Pan, L.,  Internet security applications of the Munn rings, Semigroup Forum 81 (2010), 162-171.
  9. Mammadov, M., Yearwood, J., Zhao, L., A new supervised term ranking method for text categorization., In: Jiuyong Li (ed(s)), AI 2010: Advances in Artificial Intelligence (Berling, Springer, 2010), pp.102-111.
  10. Ofoghi, B., Yearwood, J., From Lexical Entailment to Recognising Textual Entailment Using Linguistic Resources., In: Luiz Augusto Pizzato, Rolf Schwitter (ed(s)), Proceedings of the Australasian Language Technology Association Workshop 2009 (Sydney, New South Wales, Australasian Language Technology Association, 2009), 7, pp.119-123.
  11. Sun, Z., Finnie, G., Yearwood J., Case Based Web Services., In: Lee (ed(s)) of Encyclopedia of E-Business Development and Management in the Global Economy (Journal of Health, Safety & Environment 2010, Oxford University Press) pp. 871-882. ISBN 978-161-520-6117.
  12. Turville K, Yearwood J., Miller C, Understanding victims of identity theft: preliminary insights., In: Josef Pieprzyk, Paul A. Watters (ed(s)), Proceedings of the Second Cybercrime and Trustworthy Computing Workshop 2010, CTC 2010 (CA, USA, Conference Publishing Services, IEEE Computer Society, 2010), pp.60-68.
  13. Yearwood, J., Mammadov, M., Banerjee, A., Profiling phishing emails based on hyperlink information., In: Nasrullah Memon, Reda Alhajj (ed(s)), 2010 International Conference on Advances in Social Networks Analysis and Mining (Unknown, IEEE Computer Society, 2010), pp.120-127.
  14. Zhao., L.,  Mammadov, M.; Yearwood, J.; , From Convex to Nonconvex: A Loss Function Analysis for Binary Classification., Data Mining Workshops (ICDMW), 2010 IEEE International Conference on, vol., no., pp.1281-1288,13-13 Dec.2010 doi: 10.1109/ICDMW.2010.57
  15. Zi, L.F., Yearwood, J.L., Kelarev, A.V., An application of consensus clustering for DDoS attacks detection., Applications and Techniques in Information Security 2010, pp. 33-42.
  16. Zi L, Yearwood. J, Kelarev A, An Application of Consensus Clustering for DDos Attacks Detection., In: Matthew Warren (ed(s)), An Application of Consensus Clustering for DDos Attacks Detection (Melbourne, Victoria, Deakin University, 2010), pp.1-9.
  17. Zi L., Yearwood, J., Wu, X., Adaptive Clustering with Feature Ranking for DDos Attacks Detection., in Y Xiang (Deakin) P Samarati, (Uni of Milan Italy) J.Hu, (RMIT) (ed(s)), Adaptive Clustering with Feature Ranking for DDos Attacks Detection (Melbourne, Victoria, RMIT University Melbourne, 2010), pp.281-286.
2009
  1. Afshar, F., Yearwood, J. & Stranieri, A. (2009) Online group deliberation for the elicitation of shared values to underpin decision making, NGITS 2009, 7th International Conference on Next Generation Information Technologies and Systems, Israel.
  2. Dazeley, R., Kelarev, A., Yearwood, J. & Mammadov, M. (2009) Optimization of multiple classifiers in data mining based on string rewriting systems, Asian-European Journal of Mathematics, Vol.2, No.1. March 2009, pp.41-56.
  3. Huda, S., Yearwood, J. & Tongeri, R. (2009) A Constraint-Based Evolutionary Learning Approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modelling, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol.39, Issue 1, Feb 2009, pp.182-197.
  4. Huda, S. Yearwood, J., and Togneri, R., A (2009) Constraint-based Evolutionary Learning approach to the Expectation Maximization for Optimal Estimation of the Hidden Markov Model for Speech Signal Modeling,  IEEE transactions on Systems, Man and Cybernetics, (Part-B), 39(1), pp.182-197.
  5. Islam M, Vamplew P, Yearwood J., MRF model based unsupervised color textured image segmentation using multidimensional spatially variant finite mixture model., In: Magued Iskander, Vikram Kapila, Mohammad A Karim (ed(s)), Technological Developments in Education and Automation (The Netherlands, Springer, 2009), pp.375-380.
  6. Jagodic, J., Courvisanos, J. & Yearwood, J. (2009) The processes of ICT diffusion in technology projects, Innovation: Management, Policy & Practice, IMPP, Vol.11, Issue 3, pp.291-303.
  7. Jagodic J., Courvisanos J., Yearwood J., Braun P., (2009) Key public sector individuals as ICT change agents: Reflections based on Australian and German experience., The Asia Pacific Journal of Public Administration, 31, 2 pp.197-212., ISSN : 0259-8272.
  8. Kelarev, A., Yearwood, J. & Vamplew, P. (2009) A Polynomial Ring Construction For Classification of Data, Bulletin of the Australian Mathematical Society, Vol.79, pp.213-225.
  9. Kelarev, A., Yearwood, J. & Ryan, J. (2009) An algorithm for the optimization of multiple classifiers in data mining based on graphs, JCMCC Journal of Combinatorial Mathematics and Combinatorial Computing, Vol.71, pp.65-86.
  10. Kelarev, A., Yearwood, J. & Mammadov, M. (2009) A formula for multiple classifiers in data mining based on Brandt semigroups, Semigroup Forum, Vol.78, pp.293-309.
  11. Kelarev, A., Yearwood, J. &  Watters, P. (2009) Rees matrix constructions for clustering of data, Journal of the Australian Mathematical Society, Vol.87, pp.377-393.
  12. Kelarev, A., Ryan, J. & Yearwood, J. (2009) Cayley graphs as classifiers for data mining: the influence of asymmetries, Discrete Mathematics, Vol.309, Issue 17, September 2009, pp.5360-5369.
  13. Ma, L., Yearwood, J. & Watters, P. (2009) Establishing Phishing Provenance Using Orthographic Features, APWG E-Crime Research Summit 2009, Washington, USA.
  14. Ofoghi, B. & Yearwood, J. (2009) Can shallow semantic class information help answer passage retrieval?, AI 2009, Artificial Intelligence Conference 2009, Melbourne, Lecture Notes in Artificial Intelligence, Vol.5866, pp.587-596.
  15. Ofoghi, B., Yearwood, J. & Ma, L. (2009) The impact of frame semantic annotation levels, frame-alignment techniques, and fusion methods on factoid answer processing, Journal of the American Society for Information Science and Technology (JASIST), Vol.60, Issue 2, February 2009, pp.247-263.
  16. Osman, D., Yearwood, J. & Vamplew, P. (2009) Weblogs for Market Research: Finding more Relevant Opinion Documents using System Fusion, Online Information Review, special issue titled "Web Mining for E-Commerce & E-Services", Vol.33, Issue 5, pp.873-888.
  17. Osman, D., Yearwood, J. and Vamplew, P. (2009) Automated Opinion Detection: Implications of the Level of Agreement Between Human Raters,  Information Processing and Management, DOI information: 10.1016/j.ipm.2009.08.005
  18. Quinn, A., Stranieri, A., Yearwood, J. & Hafen, G. (2009) A classification algorithm that derives weighted sum scores for insight into disease, Proceedings of Third Australasian Workshop on Health Informatics and Knowledge Management, HIKM 2009, Wellington, New Zealand January 2009, as part of ACSW 2009, CRPIT, Vol.97, pp.13-17.
  19. Sukhorukova, N., Ugon, J. & Yearwood, J. (2009) Workload coverage through nonsmooth optimization, Optimization Methods and Software, Vol.24, Issue 2, April 2009, pp.285-298.
  20. Yearwood, J., Bagirov, A. & Kelarev, A. (2009) Optimization methods and the k-committees algorithm for clustering of ITS sequence data, Journal of Applied and Computational Mathematics, Vol.8, No.1, pp.92-101.
  21. Yearwood, J., Webb, D., Ma, L., Vamplew, P., Ofoghi, B. and Kelarev, A., Applying clustering and ensemble clustering approaches to phishing profiling, Data Mining and Analytics. In 2009, Proceedings of 8th Australasian Data Mining Conference: AusDM 2009, (1-4 December 2009, Melbourne, Australia) CRPIT, Vol.101, 25-34.
  22. Yearwood, J.L., Kang, B.H., Kelarev, A.V. Experimental investigation of three machine learning algorithms for ITS dataset, Future Generation Information Technology 2009, FGIT 2009, Lecture Notes in Computer Science 5899 (2009), 308-316.
  23. Yearwood, J. & Stranieri, A., (2010) Group Structured Reasoning for Coalescing Group Decisions, Group Decision and Negotiation, Vol.19, No.1, pp.77-105.
  24. Yearwood, J., Webb, D., Vamplew, P., Ma, L., Ofoghi, B. & Kelarev, A. (2009) Applying Clustering and Ensemble Clustering Approaches to Phishing Profiling, AusDM 2009, The Australasian Data Mining Conference 2009, Melbourne, CRPIT, Vol.101, pp.25-34.
  25. Yearwood, J.L., Bagirov, A.M. Kelarev, A.V. (2009) Optimization methods and the k-committees algorithm for clustering of sequence data, Journal of Applied & Computational Mathematics 8, 92-101.
  26. Yearwood, J.L. and Stranieri, A. (2009) Deliberative Discourse and Reasoning from Generic Argument Structures, Artificial Intelligence & Society, Vol.23, No.3, pp.353-377.
2008
  1. Afshar, F., Stranieri, A. & Yearwood, J. (2008) Toward Computer Mediated Elicitation of a Community's Core Values for Sustainable Decision Making, Harnessing Knowledge Management to Build Communities: Proceedings of the 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support, ACKMIDS 2008, Melbourne, Victoria, Monash University, pp.1-14.
  2. Hafen, G., Hurst, C., Yearwood, J., Smith, J., Dzalilov, Z. & Robinson, P (2008) A new scoring system in Cystic Fibrosis: statistical tools for database analysis - A preliminary report, BMC Medical Informatics and Decision Making, Vol.8, Issue 44, pp.1-11.
  3. Macfadyen, A., Stranieri, A. & Yearwood, J. (2008) An Interaction Framework for Scenario Based Three Dimensional Environments, Computers in Entertainment (to appear).
  4. Macfadyen, A., Stranieri, A. & Yearwood, J. (2008) Dramatic Level Analysis for Interactive Narrative, Proceedings of NILE 2008, the 5th International Conference on Narrative and Interactive Learning Environments, Edinburgh, Scotland, Heriot-Watt University, pp.17-22.
  5. Macfadyen, A., Stranieri, A. & Yearwood, J. (2008) Dramatic Level Configuration for Interactive Narrative, Journal of Games and Cultures (to appear) Accepted November 2008.
  6. Ofoghi, B., Yearwood, J. & Ma, L. (2008) The impact of semantic class identification and semantic role labeling on natural language answer extraction, Advances in Information Retrieval, Lecture Notes in Computer Science, Vol.4956, pp.430-437.
  7. Ofoghi, B., Yearwood, J. & Ma, L. (2008) FrameNet-Based Fact-Seeking Answer Processing: A Study of Semantic Alignment Techniques and Lexical Coverage, AI 2008: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, Vol.5360, pp.192-201.
  8. Quinn, A., Jelinek, H., Stranieri, A. & Yearwood, J. (2008) AWSum - Applying Data Mining in a Health Care Scenario, Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008, pp.291-296.
  9. Quinn, A., Stranieri, A., Yearwood, J. & Hafen, G. (2008) AWSum - Data Mining for Insight, Advanced Data Mining and Applications, Lecture Notes in Computer Science, Proceedings of AMDA 2008, Vol.5139, pp.524-531.
  10. Stranieri, A., Yearwood, J. & Mays, H. (2008) Explicit representations of reasoning to support deliberation within groups, Harnessing Knowledge Management to Build Communities: Proceedings of the 11th Annual Australian Conference on Knowledge Management and Intelligent Decision Support, ACKMIDS 2008, Melbourne, Victoria, Monash University, pp.1-14.
  11. Stranieri, A. & Yearwood, J. (2008) Enhancing learning outcomes with an interactive knowledge-based learning environment providing narrative feedback, Interactive Learning Environments, Vol.16, No.3, pp.265-281.
  12. Vamplew, P., Yearwood, J., Dazeley, R. & Berry, A. (2008) On the limitations of scalarisation for multi-objective reinforcement learning of Pareto Fronts, AI 2008: Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, Vol.5360, pp.372-378.
  13. Wu, X., Watters, P. & Yearwood, J. (2008) New Traceability Codes and Identification Algorithm for Tracing Pirates, Proceedings of the 2008 International Symposium on Parallel and Distributed Processing with Applications, IEEE, pp.719-724.
  14. Yearwood, J., Kang, B, & Kelarev, A. (2008) Experimental investigation of classification algorithms for ITS dataset, Proceedings of PKAW-08, Pacific Rim Knowledge Acquisition Workshop 2008, Hobart, Tasmania, Pacific Rim International Conferences on Artificial Intelligence (PRICAI), pp.262-272.
  15. Yearwood, J. & Stranieri, A. (2008) A study of frameworks for structured reasoning on reasoning quality and knowledge, Learning & Teaching: an international journal in classroom pedagogy, Vol.1, No.1, pp.71-90.
  16. Yearwood, J., Stranieri, A. & Osman, D. (2008) A web-based narrative construction environment, Proceedings of 5th International Conference on Narrative and Interactive Learning Environments, NILE 2008, Edinburgh, Scotland, Heriot-Watt University, pp.78-81.
  17. Yearwood, J. & Stranieri, A. (2008) Reasoning Community Technologies for Deliberative Democracy, Theory & Practice in Deliberative Democracy Workshop, Australian National University, Canberra (ANU Workshop notes).
2007
  1. Hart, S. & Yearwood, J. (2007) Visual tools for analysing evolution, EM, error in data streams, 6th IEEE International Conference on Computer & Information Science, ICIS 2007, Melbourne.
  2. Huda, S., Yearwood, J. & Ghosh, R. (2007) A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization. Proceedings of International Conference on Computer and Information Science, ICIS 2007, Melbourne, Victoria, 11-13 July 2007.
  3. Islam, M., Yearwood, J. & Vamplew, P. (2008) Unsupervised Color Textured Image Segmentation Using Cluster Ensembles and MRF Model, Advances in Computer and Information Sciences and Engineering, pp. 323-328.
  4. Macfadyen, A., Stranieri, A. & Yearwood, J. (2007) Dramatic Flow in Interactive 3D Narrative, Proceedings of the Fourth Australasian Conference on Interactive Entertainment IE2007, RMIT University, Melbourne, Victoria.
  5. Mammadov, M., Rubinov, A. & Yearwood, J. (2007) An Optimization Approach to Identify the Relationship between Features and Output of a Multi-label Classifier, Data Mining in Biomedicine, Optimization and Its Applications, Vol.7, pp.141-167.
  6. Mammadov, M.A., Rubinov, A. M. and Yearwood, J. (2007) The Study of drug-reaction relationships using global optimization techniques., Optimization Methods and Software. 22(1) pages 99-128.
  7. Ofoghi, B. & Yearwood, J. (2007) A within frame ontological extension on Frame-Net: application in predicate chain analysis and question answering, Proceedings of the Australasian Data Mining Conference: AUSDM 2007, Twentieth Australian Joint Conference on Artificial Intelligence AI07, Gold Coast, Queensland.
  8. Ofoghi, B. & Yearwood, J. (2007) Two-step comprehensive open domain text annotation with Frame Semantics, Australasian Language Technology Workshop 2007, Melbourne Zoo, Melbourne, Victoria.
  9. Osman, D. & Yearwood, J. (2007) Using corpus analysis to inform research into opinion detection in blogs, Proceedings of the Australasian Data Mining Conference: AUSDM 2007, Twentieth Australian Joint Conference on Artificial Intelligence AI07, Gold Coast, Queensland.
  10. Quinn, A., Stranieri, A. & Yearwood, J. (2007) Classification for accuracy and insight: a weighted sum approach, Proceedings of the Australasian Data Mining Conference: AUSDM 2007, Twentieth Australian Joint Conference on Artificial Intelligence AI07, Gold Coast, Queensland.
  11. Stranieri, A., Deans, C., Gervasoni, S, Garner, S, Yearwood, J. & Johnstone, A., (2007)  Decision Support Computer Program for Intensive Care Nurses in Australian Nursing Journal.
  12. Yearwood, J. (2007) A fully automated CAD system using multi-category feature selection with restricted recombination, 6th IEEE International Conference on Computer & Information Science, ICIS 2007, Rydges Hotel, Melbourne.
  13. Yearwood, J. & Stranieri, A.  Narrative-based interactive learning environments from modelling reasoning in Journal of Educational Technology & Society Vol: 10:3 pp192-208 2007.
2006
  1. Afshar, F., Yearwood, J. & Stranieri, A. (2006) A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations. In Kevin E. Voges and Nigel K. Li. Pope (Eds) Business Applications and Computational Intelligence. Idea Group Publishing, Hershey, PA, USA. Pages 316-343.
  2. Bagirov, A. M. and Yearwood, J. (2006). A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems, European Journal of Operational Research, 170, 578-596.
  3. Ghosh, R., Yearwood, J., Ghosh, M. & Bagirov, A. (2006) A Hybrid Neural Learning Algorithm using Evolutionary Learning & Derivative Free Local Search. International Journal of Neural Learning. 16(3), 201-213.
  4. Ghosh, M,. Ghosh, R., and Yearwood, J. (2006) An automatic rule based neuro-fuzzy plagiarism detection system. In Joe Winston (Ed) Journal on Engineering & Technology. Vol.1, No.2, pp.61-69. I-Manager Publications, India.
  5. Huda, S., Ghosh, R. & Yearwood, J. (2006)  A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals. In Lecture Notes in Artificial Intelligence 4065. Advances in Data Mining: Applications in Medicine, Web Mining, Marketing, Image and Signal Mining. Vol. 4065, pp.416-430. Springer-Verlag, Berlin.
  6. Ivkovic, S., Saunders, G., Ghosh, R. & Yearwood, J. (2006)  Using Association and Overlapping Time Window Approach to Detect Drug Reaction Signals in  Proceedings of CIMCA 2005 International Conference on Computational Intelligence for Modelling Control & Automation jointly with IAWTIC 2005 International Conference on Intelligent Agents, Web Technologies & Internet Commerce, 28-30 Nov 2005, Vienna, Austria. Vol.1, pp.1045-1053. IEEE Computer Society, Los Alamitos, CA, USA.
  7. Ivkovic, S., Ghosh, R. and Yearwood, J. (2006) Visual Grouping of Association Rules by Clustering Conditional Probabilities for Categorical Data. In Kevin E. Voges and Nigel K. Li. Pope (Eds) Business Applications and Computational Intelligence. Chapter 13, pp. 248-266. Idea Group Publishing, Hershey, PA, USA.
  8. Macfadyen, A., Stranieri, A. & Yearwood, J. (2006)  An Interaction Framework for Scenario-Based Three Dimensional Environments in Kevin Wong, Land Fung, Peter Cole, Yusuf Pisan (Eds) Proceedings of CGIE 2006, Joint International Conference on Cyber Games and Interactive Entertainment, 4-6 Dec 2006, Perth, WA. Pp.109-115. Murdoch University, Murdoch, WA.
  9. Ofoghi, B, Yearwood, J. and Ghosh R. (2006) A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources. AI 2006: Advances in Artificial Intelligence, Lecture Notes in Computer Science, Volume 4304/2006, pp. 1276-1280, Springer Berlin / Heidelberg.
  10. Ofoghi, B, Yearwood, J. and Ghosh R. (2006) A Semantic Method to Information Extraction for Decision Support Systems. Proceedings of the Americas Conference on Information Systems (ACIS 2006). Association for Information Systems.
  11. Ofoghi, B., Yearwood, J. and Ghosh, R. (2006). A Semantic Approach to Boost Passage Retrieval Effectiveness for Question Answering. In Proc. Twenty-Ninth Australasian Computer Science Conference (ACSC 2006), Hobart, Australia. CRPIT, 48. Estivill-Castro, V. and Dobbie, G., Eds., ACS. 95-101.
  12. Yearwood, J.L. and Stranieri, A. (2006) The Generic/Actual Argument Model of Practical Reasoning. Decision Support Systems. 41(2), pp.358-379, Elsevier, The Netherlands.
2005
  1. Avery, J. & Yearwood, J. (2005) A Formal Description of Ontology Change in OWL in Proceedings of the Third International Conference on Information Technology and Applications, ICITA 2005, 4-7 July 2005, Sydney, Australia, Vol.I.
  2. Clemow, L., Hannah, M., Nash, D., Mammadov, M., Rubinov, A., Ugon, J. and Yearwood, J. (2005) Feature Ordering for Small Datasets. In L.Caccetta (editor), Industrial Optimization. Kluwer Academic Publishers, Dordrecht.
  3. Ferguson, B., Ghosh, R. and Yearwood, J. (2005) Modular Neural Network Design for the Problem of Alphabetic Character Recognition, International Journal of Pattern Recognition and Artificial Intelligence, 19(2) pages, World Scientific Publishing Company.
  4. Ghosh, R., Ghosh, M., Yearwood, J. and Bagirov, A. (2005) Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks, Lecture Notes in Computer Science, Volume 3587, Jul 2005, pages 62-70.
  5. Ghosh, R., Ghosh, M., Yearwood, J. and Bagirov, A. (2005) Determining Regularization Parameters for Derivative Free Neural Learning, Lecture Notes in Computer Science, Volume 3587, Jul 2005, pages 71-79.
  6. Ghosh, R., Ghosh, M. & Yearwood, J. (2005) A CAD system using clustering and novel feature extraction technique In: Proceedings of CISTM 2005, Gurgaon, India, 24-26 July 2005.
  7. Ghosh, R., Yearwood, J. Ghosh, M. and Bagirov, A. (2005) Hybridization of Neural Learning Algorithms Using Evolutionary and Discrete Gradient Approaches. Journal of Computer Science 1(3): 387-394.
  8. Ghosh, R., Mammadov, M., Ghosh, M. & Yearwood, J. (2005) A hybrid clustering algorithm using two level of abstraction In Proceedings of Fuzzy Logic, Soft Computing, and Computational Intelligence, 11th International Fuzzy Systems Association World Congress, IFSA 2005, Beijing, China, 28-31 July 2005, Volume I.
  9. Ghosh, R., Soukhoroukova, N. and Yearwood, J. (2005) Finding Parameters Using Derivative Free Optimization and SVD for RBF Neural Networks  - A Multiphase Approach. In Proceedings of Artificial Intelligence (ICAI: June 27-30) Las Vegas, USA.
  10. Ghosh, R., Ghosh, M., Yearwood, J. & Bagirov, A. (2005) Comparative analysis of genetic algorithm vs evolutionary algorithm for hybrid models with discrete gradient method for artificial neural network In Proceedings of Fuzzy Logic, Soft Computing and Computational Intelligence, 11th International Fuzzy Systems Associations World Congress, IFSA 2005, Beijing, China, 28-31 July 2005, Volume III.
  11. Ghosh, R., Yearwood, J., Ghosh, M. & Bagirov, A. (2005) Fusion Strategies for Neural Learning Algorithms Using Evolutionary and Discrete Gradient Approaches In Proceedings of AIA 2005: International Conference on Artificial Intelligence and Applications, Innsbruck, Austria, 14-16 February 2005.
  12. Ghosh, R. Ghosh, M. and Yearwood, J. (2005) A Fully automated breast cancer recognition system using discrete-gradient based clustering and multi category feature selection, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) (Special Issue: Selected Papers from SCIS/ISIS 2004).
  13. Ghosh, R., Huda, M. & Yearwood, J. (2005) A Hybrid Algorithm for Hidden Markov Model Parameter Re-estimation in Acoustic Modelling of Speech Signal using Expectation Maximization and Genetic Algorithm In Proceedings of the Workshop in Learning Algorithms for Pattern Recognition, in conjunction with the 18th Australian Joint Conference on Artificial Intelligence AI'05, UTS, Sydney, Australia.
  14. Macfadyen, A., Stranieri, A. and Yearwood, J. (2005) Structured Reasoning to Support Deliberative Dialogue. Knowledge Based Intelligent Information and Engineering Systems, 9th International Conference KES, Melbourne, Australia. KES (1) 2005: 283-289.
  15. Mammadov, M., Rubinov, A. and Yearwood, J. (2005) Dynamical Systems Described by Relational Elasticities with Applications. In Vaithilingam Jeyakumar and Alexander Rubinov (Eds.) Continuous Optimization: Current Trends and Modern Applications. Applied Optimization, Vol 99, pp365-385, Springer.
  16. Saunders, G., Ivkovic, S., Ghosh, R. & Yearwood, J. (2005) Applying Anatomical Therapeutic Chemical (ATC) and Critical Term Ontologies to Australian Drug Safety Data for Association Rules and Adverse Event Signalling. Conferences in Research and Practice in Information Technology, Advances in Ontologies 2005: Proceedings of the Australasian Ontology Workshop AOW 2005, 58, pp. 93-98.
  17. Stranieri, A. & Yearwood, J. (2005) The integration of narrative and argumentation for a scenario-based learning environment in law In Proceedings of the Tenth International Conference on Artificial Intelligence and Law, Bolognia, Italy, 6-11 June 2005
  18. Yearwood, J. and Stranieri A. (2005) A Scenario-based Learning Environment for Critical Care Nursing. In: HIC 2005: Thirteenth National Health Informatics Conference; HINZ 2005: Fourth Health Informatics Conference; pages: [7-13]. Brunswick East, Vic.: Health Informatics Society of Australia.
  19. Yearwood, J. & O'Brien, M. (2005) Decisions surrounding adverse drug reaction prescribing: insights from consumers and implications for decision support. Journal of Research and Practice in Information Technology, 37 (1), pp. 57-71.
2004
  1. Avery, J. and Yearwood, J. (2004) Supporting Evolving Ontologies by Capturing the Semantics of Change. In Proceedings of The Tenth Australian World Wide Web Conference (AusWeb'04).
  2. Avery, J. & Yearwood, J. (2004). Managing Ontology Evolution: Capturing the semantics of change. Proceedings of the Tenth Australian World Wide Web Conference.
  3. Bagirov, A., Ghosh, R. & Yearwood, J. (2004). Optimization of Feedforward MLPs Using the Discrete Gradient Method. Proceedings of CIMCA 2004: International Conference on Computational Intelligence for Modelling, Control and Automation.
  4. Bagirov, A., Ghosh, M., Ghosh, R. & Yearwood, J. (2004). A hybrid neural learning algorithm combining evolutionary algorithm with discrete gradient method. Proceedings of the Second International Conference on Software Computing and Intelligent Systems.
  5. Deans, C., Stranieri, A. & Yearwood, J. (2004) Web-based decision support for structured reasoning in health. Proceedings of Health Informatics Conference 2004 - Let's make a difference with health ICT.
  6. Ferguson, B. Ghosh, R. and Yearwood, J. (2004) An Experiment in Task Decomposition and Ensembling for a Modular Artificial Neural Network. In Proceedings of the 17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE) pp 97-106.
  7. Ferguson, B., Ghosh, R. and Yearwood, J., (2004) Task Decomposition for the Problem of Alphabetic Character Recognition, in Proc. 5th International Conference on Recent Advances in Soft Computing, Nottingham UK, (2004), pp 134-139.
  8. Ferguson, B., Ghosh, R. and Yearwood, J., (2004) Designing a Decision Module for Modular Artificial Neural Networks, in Proc. 6th International Conference on Optimisation: Techniques and Applications, Ballarat Australia.
  9. Ghosh, M., Ghosh, R. and Yearwood, J. (2004) A Hybrid Approach for Feature and Architecture Selection in Online Handwriting Recognition. In Proceedings of the 5th International Conference on Recent Advances in Soft Computing, Nottingham, United Kingdom, 16-18 December 2004.
  10. Ghosh, M., Ghosh, R. & Yearwood, J. (2004). A hybrid evolutionary algorithm for multi category feature selection in breast cancer recognition. Proceedings of the Second International conference on Software Computing and Intelligent Systems.
  11. Ghosh R, Ghosh M, Yearwood, J. (2004) An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Neural Network Lexicon. In Proceedings of the Seventeenth International Florida Artificial Intelligence  Research Symposium Conference, Miami Beach, Florida, USA.
  12. Ghosh, R., Ghosh, M. & Yearwood, J. (2004) A Modular Framework for Multi category feature selection in Digital mammography. In Proceeding of the 12th European Symposium On Artificial Neural Networks ESANN'2004, Bruges (Belgium), 28-30 April 2004.
  13. Ghosh, R., Ivkovic, S. & Yearwood, J. (2004). The automated identification and description of clusters for categorical data using conditional probabilities. Proceedings of CIMCA 2004: International Conference on Computational Intelligence for Modelling, Control and Automation.
  14. Ghosh, M., Ghosh, R. & Yearwood, J. (2004). An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Network Lexicon. Proceedings of the Seventeenth International Florida Artificial Intelligence Research Symposium Conference, FLAIRS 2004.
  15. Mammadov, M. A., Yearwood, J. and Aliyeva, L. (2004) Multi- label Classification and Drug-reaction Associations Using Global Optimization Techniques. In, A. Rubinov and M. Sneidovich (Eds) Proceedings of the Sixth International Conference on Optimization: Techniques and Applications (ICOTA6), Ballarat, December 2004.
  16. Mammadov, M. and Yearwood, J. (2004) Relationships between Different Term Structures of the Australian Interest Rate Swap Market. In H.Pan, D. Sornette and K. Kortanek (Eds), Proceedings of the First International Workshop on Intelligent Finance (IWIF1), Melbourne, December 2004, pp.433-443, University of Ballarat.
  17. Mammadov, M. & Yearwood, J. (2004). A Fuzzy Derivative Approach to Classifications of Outcomes from the ADRAC Database. International Transactions in Operational Research, 169-180.
  18. O'Brien, M. C. and Yearwood, J. L. (2004) Risk: Drug Therapy versus Adverse Drug Reaction. A Case Study Approach with Consumer, Medical and Expert Views. In (W. Karin & B. Cesnik Eds.) Proceedings of the Combined Conferences of the Twelfth National Health Informatics Conference, Brisbane, pp.229-236.
  19. Pan, H., Tilakaratne, C. and Yearwood, J. (2004): Predicting the Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences. Journal of Research and Practice in Information Technology, 37 (1), pp.43-55.
  20. Pan, H.P. & Yearwood, J. (2004). Intermarket Influence Analysis using Asymmetrical Dependance Test and an Application for Australia and G7 Industrial Countries. Proceedings of the First International Workshop on Intelligent Finance, IWIF 2004.
  21. Saunders, G. Mammadov M. and Yearwood, J.  (2004) A Comparison of Two Methods to Establish Drug-reaction Relationships in the ADRAC Database. In Proceedings of the Fourth International ICSC Symposium on Engineering Of Intelligent Systems (EIS 2004) in collaboration with the University of Madeira Island of Madeira, Portugal, 29 Feb - 2 Mar 2004.
  22. Stranieri, A.,   Yearwood, J.   Gervasoni, S.   Garner, S.   Deans, C.   Johnstone, A. (2004) Web-based Decision Support for Structured Reasoning in Health. In (W. Karin & B. Cesnik, Eds.) Proceedings of the Combined Conferences of the Twelfth National Health Informatics Conference, Brisbane, pp.180-185.
  23. Yearwood, J.L. and Stranieri, A. (2004) Scenario-based Learning Environments for Learning Domain Reasoning. In Proceedings of Narrative and Interactive Learning Environments, NILE 2004 (Paul Brna ed.), 10-13 August 2004, Edinburgh, Scotland.
2003
  1. Avery, J. and Yearwood, J. (2003) dOWL: A dynamic ontology language, In Proceedings of the IADIS International Conference WWW/Internet, Algarve, Portugal, 5-8 November 2003.
  2. Bagirov, A.M., Rubinov, A.M., Soukhoroukova, N. and Yearwood, J. (2003) Unsupervised and Supervised Data Classification via Non-smooth Optimization, Socíedad de Estadistica e Invastigación Operativa Top 11, No. 1 pp 1-93.
  3. Bagirov, A., Ferguson, B., Ivkovic, S. and Yearwood, J.  (2003) New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. Bioinformatics, 19(14), 1800-1807.
  4. Bagirov, A.M., Rubinov, A. M. Soukhoroukova and Yearwood, J. (2003) AN Algorithm for Clustering based on Non-smooth Optimization Techniques. International Transactions in Operational Research, 10(6), 611-618, Blackwell Publishing.
  5. Ivkovic, S. Yearwood, J. Stranieri, A. (2003) Visualizing Association Rules for feedback within the legal system. In Proceedings of the 9th International conference on Artificial Intelligence and Law (ICAIL), pp 214-223, ACM.
  6. Mays, H. and Yearwood, J. (2003) Are Schools of Education failing the Tertiary Mathematics Sector? In Proceedings of the International Conference Information Technology: Coding and Computing (ITEC 2003), 28-30 April Las Vegas, Nevada, USA, 110-114, IEEE Computer Society.
  7. O'Brien, M. C. and Yearwood, J. L. (2003) Insights into Consumer decisions surrounding adverse drug reactions: Some preliminary results. In Proceedings of the Combined Conferences of the Eleventh National Health Informatics Conference, Applying Socio-technical Practices and Principles, and the Twelfth National RACGP Computer Conference, Beyond the Box: Making IT work for GP's and Patients., Sydney, Australia
  8. Pan, H.P., Tilakaratne, C., and Yearwood, J., (2003): Predicting the Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences. Lecture Notes in Artificial Intelligence - Proceedings 16th Australian Joint Conference on Artificial Intelligence, Springer Verlag.
  9. Yearwood, J., Stranieri, A., and Naus, R., (2003) Integrating Intelligence Systems for Refugee Law.  5th Conference on Computerisation of Law via Internet. Australiasian Legal Information Institute. www.austlii.edu.au November, 2003.
2002
  1. Afshar, F., Yearwood, J., and Stranieri, A., (2002)  Capturing Consensus Knowledge from Multiple Experts, In  M. Bramer (Ed), Research And Development In Intelligent Systems XIX. Springer Verlag, London.
  2. Bagirov, A.M., Rubinov, A.M., and Yearwood, J., (2002) A heuristic algorithm for feature selection based on optimisation techniques,  In: Heuristisc and Optimization for Knowledge Discovery, C. Newton, H. Abbas and R. Sarker (eds.), Idea Group Publishing.
  3. Ivkovic, S., Yearwood, J., and Stranieri, A., (2002) Discovering Interesting Association Rules from Legal Databases. International Journal of Communications Technology Law. Vol. 11, No. 1, pages 35-48, Carfax Publishing.
  4. Mammadov, M., Yearwood, J., (2002) An Inductive Algorithm with Selection Significance Based on a Fuzzy Derivative. In A. Abraham and L. Jain (Eds), Recent Advances in Intelligent Paradigms, Studies in Soft Computing Series, pages 223-235, Physica (Springer) Verlag Germany.
  5. Mammadov, M. and Yearwood, J. L., (2002) An Induction Algorithm with Selection Significance based on a Fuzzy Derivative. A. Abraham, M. Koeppen (Eds.): Hybrid Information Systems, Advances in Soft Computing, pp 223-236, Physica Verlag, Heidelberg.
  6. Yearwood, J., and Stranieri, A., (2002) Generic Arguments: a framework for supporting inline deliberative discourse, In, Enabling Organisations and Society through Information Systems, Proceedings of the Thirteenth Australasian Conference on Information Systems (ACIS'2002), 4-6 December, Melbourne, pages 337-346.
  7. Yearwood, J., and Stranieri, A., (2002) An Argumentation Shell for supporting the development and drafting of legal arguments. International Journal of Communications Technology Law. Vol. 11, No. 1, pages 75-86, Carfax Publishing.
  8. Avery, J., Yearwood, J. L., and Stranieri, A.,  (2002) An Argumentation Based Multi-agent System for eTourism Dialogue. In A. Abraham, M. Koeppen (Eds.): Hybrid Information Systems, Advances in Soft Computing, pp 497-512, Physica Verlag, Heidelberg.
  9. Avery J. and Yearwood, J. (2002) A Foundation for Strange Agent Negotiation. In Papers from the AAAI Workshop on Meaning Negotiation, Technical Report WS-02-09, pages 72-77. AAAI Press.
2001
  1. Bagirov, A., Rubinov, A., Yearwood, J., and Stranieri, A., (2001) A global optimisation approach to classification in medical diagnosis and prognosis. In: Proceedings of the Hawai'i International Conference on System Sciences, HICSS-34.
  2. Bagirov, A.M., Rubinov, A.M., Yearwood, J., (2002) A Global Optimization Approach to Classification. Optimization and Engineering. 3, pp.129-155. Kluwer Academic Publishers.
  3. Baghirov, A.M., Rubinov, A.M., and Yearwood, J.L., (2001) Using global optimisation to improve classification for medical diagnosis and prognosis, Topics in Health Information Management, Vol. 22(1), 65-74, Aspen Publishers.
  4. Mammadov, M., Rubinov, A., and Yearwood, J., (2001) Sequential Separation of Sets and applications to data classification. In Proceedings of the Post-graduate ADFA Conference on Computer Science, PACCS'01, Hussein A. Abbas and Michael Barlow.
  5. Meikle, T., and Yearwood, J., (2001) System Development a La MODDE, In Proceedings of the 8th  International conference on Artificial Intelligence and Law (ICAIL), May 21-25, Washington University, St. Louis, MO. ACM Press, pages 99-103.
  6. Stranieri A., Yearwood, J.L., and Zeleznikow J., (2001) Argument Structures that Integrate Dialectical and Monolectical Reasoning. Knowledge Engineering Review 16(4) pages 331-358.
  7. Stranieri, A., Yearwood, J., and Zeleznikow, J., (2001) Tools for placing legal decision support systems on the World Wide Web, In Proceedings of the 8th International conference on Artificial Intelligence and Law (ICAIL). May 21-25, Washington University, St. Louis, MO. ACM Press, pages 206-214.
  8. Yearwood, J., Stranieri, A., and Avery, J., (2001) Negotiation and Argumentation Based Agents to Facilitate eCommerce, In Proceedings of the International Conference on Advances in Infrastructure for Electronic Business, Science and Education on the Internet, SSGR 2001, L'Aquila, Italy, August 6-12, pp.100-109.
2000
  1. Hall, R., Pham, B., and Yearwood, J., (2000) A Story-based Phenotype for Self-interested Affective Agents. In Proceedings of The Second International ICSC Symposium on Engineering of Intelligent Systems, June 27-30, University of Paisley, Scotland, UK, pp 152-158
  2. Meikle, T., and Yearwood, J., (2000) Supporting Discretion in Decision Making, Proceedings of The Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, ES2000.
  3. Meikle, T., and Yearwood, J., (2000) A framework for designing a decision support system to support discretion. In Proceedings of ISA'2000, 2000.
  4. Pham, B., and Yearwood, J., (2000) Delivery and Interactive Processing of Visual Data for a Cooperative Telemedicine Environment. (Ed) Rashid L. Bashshur Telemedicine Journal 6(2) 2000.
  5. Stranieri, A., Yearwood, J. L., and Meikle, T. Z., (2000) The Dependency of Discretion and Consistency on Knowledge Representation. International Review of Law, Computers & Technology 14(3), pp325-340.
  6. Yearwood, J., and Stranieri, A., (2000) Knowledge as Arguments for facilitating E-Commerce Dialogue, Proceedings of the Sixth CollECTeR Conference on Electronic Commerce, CollECTeR'2000.
  7. Yearwood, J., and Stranieri, A., (2000) An Argumentation Shell for Knowledge Based Systems. In Proceedings of the Second International Association for Science Technology and Development, Law and Technology, LawTech.
  8. Yearwood, J., and Pham, B., (2000) Case-based Support in a Cooperative Medical Diagnosis Environment.  (Ed) Rashid L. Bashshur Telemedicine Journal 6(2), pp.243-250.
1999
  1. Hall, R., Pham, B., and Yearwood, J., (1999) Adaptive Simulation: An Implementation Framework, In Lecture Notes in Artificial Intelligence, Springer Verlag, Germany. Vol 585, pp438-445.
  2. Stranieri, A., and Yearwood, J. L.,(1999) Mapping inference trees to document structure for text generation in Refugee Determinations. In  H. Jaap van den Herik, Marie-Francine Moens, John Bing, Bea van Buggenhout, John Zeleznikow, Caroulus Grütters (eds) Jurix 1999 The Twelfth International Conference on Legal Knowledge-based Systems, December 9-10, Leuven, Belgium, pp 99-108, 1999.
  3. Stranieri, A., Yearwood, J., and Pham, B., 1999. Combining knowledge discovery from databases (KDD) and case based reasoning (CBR) to support diagnosis of medical images. In Pham, B., Braun, M., Maeder, A., and Eckert, M. (eds) New Approaches in Medical Image Analysis. Spie. Volume 3747. pp 169-177.
  4. Yearwood, J. L, Stranieri A., and Anjaria C., (1999) The use of Argumentation to Assist in the Generation of Legal Documents. In David Hawking and Ross Wilkinson (eds) Proceedings of  The Fourth Australian Document Computing Symposium, 3 December, Southern Cross University, Coffs Harbour, NSW, pp 69-76.
  5. Yearwood, J. L., and Stranieri, A., (1999) The integration of retrieval, reasoning and drafting for refugee law: A third generation legal knowledge based system. In Proceedings of the Seventh International Conference on Artificial Intelligence and Law (ICAIL'99 ). June 14-18, The University of Oslo, Norway, Association For Computing Machinery,  July 1999, pp 117-125.
1998
  1. Hall R., Pham B., Yearwood, J., Adaptive Simulation: An Implementation Framework, In Proceedings of the 2nd Asia-Pacific Conference on Simulated Evolution and Learning, Canberra, 24-27 Nov 1998.
  2. Stranieri, A., Yearwood, J., and Pham, B., 1998.  Combining Knowledge Discovery from Databases (KDD) and Case-based Reasoning (CBR) to support diagnosis of medical images. Proceedings of Research Workshop on Automated Medical Image Analysis, Ballarat, Australia, July 1998.
1997
  1. Hall R., Pham B., Yearwood, J., (1997) Ecosystem Simulation: A Meta-Story Approach For Modelling Interactions.  In The Proceedings of the 4th Australasian Cognitive Science Conference, Newcastle, 26-28 Sep. 1997, pp.412-418.
  2. Pham, B., and Yearwood, J., Content-based Image Retrieval of Fabric Samples, Proceedings of the first joint Australia & New Zealand biennial Conference: DICTA'97 and IVCNZ'97, Albany, Auckland, New Zealand: 10-12 December 1997.
  3. Yearwood, J. L., Case-based Retrieval of Refugee Review Tribunal Text Cases, In (A. Oskamp, R. V. De Mulder, C. van Noortwijk, C.A.F.M. Grutters, K. Ashley, T. Gordon eds.) Legal Knowledge-based Systems, JURIX'97, The Tenth Conference, Amsterdam, 1997, pp 67-84.
  4. Yearwood, J., Glover, B., and Mays, H.,  Technology and Mathematics Education: A Critical Need for Objective Curriculum Evaluation. In Proceedings of the 1997 International Conference on Science, Mathematics and Technology Education, January 1997 Hanoi, 1997.
  5. Yearwood, J. L., and Wilkinson, R,. Case-based Retrieval of Highly Structured Cases for Nursing Advice, International Journal of Artificial Intelligence in Medicine, Special Issue on Case-based Reasoning, 9(1), pages 79-99, 1997.
1996
  1. Hall. R., Pham. B., Yearwood, J., (1996) Issues in Content Based Image Retrieval, Proceedings of the Australian Pattern Recognition Society Student Conference, Melbourne, pp. 47-56.
  2. Mays, H., Glover, B., and Yearwood, J., A Report on Curriculum Development involving Computer Algebra Systems in Mathematics: 1990-1995, Proceedings of AEMC96: An International Conference on Engineering Mathematics: Research, Education and Industry Linkage, Sydney, 1996.
  3. Subic, A., Yearwood, J.L.,  Glover, B.M., and Mays, H., Problem Centred learning using Computer Algebra in the Engineering Curriculum, European Journal of Engineering Education, 21(1), 41-54, 1996.
  4. Yearwood, J. L. and Wilkinson, R. Combining case component evidence for text based retrieval of cases: An Experimental Study. In Proceedings of the Nineteenth Australian Computer Science Conference, pages 553-562, 1996.
  5. Yearwood, J. L. and Wilkinson, R. Case-based Retrieval of Highly Structured Cases using Text Representation and Retrieval, Proceedings of The First Australian Document Computing Symposium, pages 15-20, 1996.
1995
  1. Bradburn, C., Wilkinson, R. and Yearwood, J. Case-based Reasoning in Health Care, HIC'95 Proceedings of the Third National Health Informatics Conference, Adelaide, 1995.
  2. Gershkovich, V., Subic, A. and Yearwood, J. On the motion of deformable bodies, CTAC 95 Conference, RMIT, July 1995.
  3. Yearwood, J.L. and Glover, B.M. Teaching Engineering Mathematics with Computer Algebra Systems, Australasian Journal of Engineering Education, 6(1), 1995.
1994
  1. Mays, H., Yearwood, J.L. and Glover, B.M. Computer Algebra Systems: Not just a tool for problem solving but a language for teaching program design, Proceedings of the 6th Conference of the Australasian Association for Engineering Education, 1994.
  2. Subic, A., Yearwood, J.L., Mays, H. and Glover, B.M. Integrating Design and Analysis of Machinery using Computer Algebra Systems, Proceedings of the 6th Conference of the Australasian Association for Engineering Education, 1994.
1993
  1. Yearwood, J. and Glover B. Computer Algebra Systems in Tertiary Engineering Mathematics, Aiming for Quality in Engineering Education, Proceedings of the 5th Annual AAEE Convention and Conference, Auckland, pages 576-581, 1993.
  2. Yearwood, J.L. and Glover, B.M. Teaching Engineering Mathematics with Computer Algebra Systems, The 5th annual conference of the Australasian Association for Engineering Education, Auckland, 1993.
1992
  1. Yearwood, J.L. and Glover, B.M. Computer Algebra Systems and their Implications for the Tertiary Mathematics Curriculum, Annual Conference of the Australian Mathematical Society, Perth, 1992.