Objects
Saunders, Gary, Ivkovic, Sasha, Ghosh, Ranadhir, Yearwood, John. ; 2005. Applying anatomical therapeutic chemical (ATC) and critical term ontologies to Australian drug safety data for association rules and adverse event signalling.
Hart, Sol, Yearwood, John, Bagirov, Adil. Melbourne, Victoria : IEEE; 2007. Visual tools for analysing evolution, emergence, and error in data streams.
Ghosh, Moumita, Ghosh, Ranadhir, Yearwood, John. Gold Coast, Queensland : Australian National University; 2004. A rule based plagiarism detection using decision tree.
Mammadov, Musa, Yearwood, John, Aliyea, Leyla. Ballarat, Victoria : University of Ballarat; 2004. Multi label classification and drug-reaction associations using global optimization techniques.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. Innsbruck, Austria : ACTA Press; 2005. Fusion strategies for neural learning algorithms using evolutionary and discrete gradient approaches.
Quinn, Anthony, Stranieri, Andrew, Yearwood, John. Gold Coast, Queensland, Victoria : Australian Computer Society; 2007. Classification for accuracy and insight : A weighted sum approach.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John. Nottingham, United Kingdom : Nottingham Trent University; 2004. A hybrid approach for feature and architecture selection in online handwriting recognition.
Mammadov, Musa, Rubinov, Alex, Yearwood, John. Perth : Curtin University of Technology; 2003. Dynamical systems based on a fuzzy derivative and its applications to data classification.
Huda, Shamsul, Jelinek, Herbert, Ray, Biplob, Stranieri, Andrew, Yearwood, John. Brisbane, QLD; 2010. Exploring novel features and decision rules to identify cardiovascular autonomic neuropathy using a hybrid of wrapper-filter based feature selection.
Webb, Dean, Yearwood, John, Vamplew, Peter, Ma, Liping, Ofoghi, Bahadorreza, Kelarev, Andrei. University of Melbourne, Melbourne, Victoria :; 2009. Applying clustering and ensemble clustering approaches to phishing profiling.
Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John. ; 2003. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures.
Kelarev, Andrei, Watters, Paul, Yearwood, John. Australian Mathematical Society; 2009. Rees matrix constructions for clustering of data.
Avery, John, Yearwood, John, Stranieri, Andrew. Adelaide : Springer-Verlag; 2001. An argumentation-based multi-agent system for e-tourism dialogue.
Huda, Shamsul, Ghosh, Ranadhir, Yearwood, John. Leipzig, Germany : Springer; 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.
Yearwood, John, Stranieri, Andrew. UK Routledge (Taylor & Francis); 2002. An argumentation shell for supporting the development and drafting of legal arguments.
Stranieri, Andrew, Zeleznikow, John, Yearwood, John. Cambridge University Press; 2001. Argumentation structures that integrate dialectical and non-dialectical reasoning.
Quinn, Anthony, Stranieri, Andrew, Yearwood, John, Hafen, Gaudenz. Wellington, New Zealand : Conferences in Research and Practice in Information Technology - CRPIT; 2009. A classification algorithm that derives weighted sum scores for insight into disease.
Huda, Shamsul, Yearwood, John, Togneri, Roberto. IEEE; 2009. A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling.
Ferguson, Brent, Ghosh, Ranadhir, Yearwood, John. Ballarat, Victoria : University of Ballarat; 2004. Designing a decision module for modular artificial neural networks.
O'Brien, Michelle, Yearwood, John. Brisbane : Health Informatics Society of Australia Ltd.; 2004. Risk : Drug therapy versus adverse drug reaction. A case study approach with consumer, medical and expert views.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. ; 2005. Comparative analysis of genetic algorithm, simulated annealing and cutting angle method for artificial neural networks.
Bagirov, Adil, Rubinov, Alex, Yearwood, John. Netherlands Kluwer (Springer); 2002. A global optimization approach to classification.
Feldman, Yishai, Kraft, Donald, Kuflik, Tsvi, Afshar, Faezeh, Stranieri, Andrew, Yearwood, John. Haifa, Israel : Springer; 2009. Online group deliberation for the elicitation of shared values to underpin decision making.
Avery, John, Yearwood, John. Gold Coast, Queensland : Southern Cross University; 2004. Managing ontology evolution : Capturing the semantics of change.
Stranieri, Andrew, Yearwood, John. Bologna, Italy : The Association for Computing Machinery (ACM); 2005. The integration of narrative and argumentation for a scenario-based learning environment in law.
Liping, Ma, Yearwood, John, Watters, Paul. Tacoma, Washington : IEEE; 2009. Establishing phishing provenance using orthographic features.
Macfadyen, Alyx, Stranieri, Andrew, Yearwood, John. Berlin, Germany Springer-Verlag; 2005. Structured reasoning to support deliberative dialogue.
Sukhorukova, Nadezda, Ugon, Julien, Yearwood, John. Taylor & Francis; 2009. Workload coverage through nonsmooth optimization.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Ranadhir, Bagirov, Adil. Yokahama, Japan : Tokyo Institute of Technology; 2004. A hybrid neural learning algorithm combining evolutionary algorithm with discrete gradient method.
Yearwood, John, Stranieri, Andrew. Deliberative discourse and reasoning from generic argument structures. 2009.
Osman, Deanna, Yearwood, John, Vamplew, Peter. Emerald; 2009. Weblogs for market research : Finding more relevant opinion documents using system fusion.
Stranieri, Andrew, Yearwood, John, Gervasoni, Susan, Garner, Susan, Deans, Cecil, Johnstone, Alistair. Brisbane, Queensland : Health Informatics Society of Australia Ltd; 2004. Web-based decision support for structured reasoning in health.
Mammadov, Musa, Yearwood, John. Adelaide University, Adelaide, South Australia :; 2002. An induction algorithm with selection significance based on a fuzzy derivative.
Ghosh, Ranadhir, Mammadov, Musa, Ghosh, Moumita, Yearwood, John. Beijing, China : Tsinghua University Press; 2005. A hybrid clustering algorithm using two level of abstraction.
Osman, Deanna, Yearwood, John, Vamplew, Peter. Gold Coast, Queensland, Victoria : Australian Computer Society; 2007. Using corpus analysis to inform research into opinion detection in blogs.
Yearwood, John, Stranieri, Andrew. Springer Netherlands; 2009. Group structured reasoning for coalescing group decisions.
Ivkovic, Sasha, Yearwood, John, Stranieri, Andrew. Edinburgh, Scotland : Association for Computing Machinery, Inc (ACM); 2003. Visualizing association rules for feedback within the legal system.
Ofoghi, Bahadorreza, Yearwood, John, Ma, Liping. Glasgow, UK : Springer; 2008. The impact of semantic class identification and semantic role labeling on natural language answer extraction.
Ofoghi, Bahadorreza, Yearwood, John, Liping, Ma. ; 2009. The impact of frame semantic annotation levels, frame-alignment techniques, and fusion methods on factoid answer processing.
Osman, Deanna, Yearwood, John, Vamplew, Peter. Melbourne, Victoria : IEEE; 2008. Weblogs for market research : Improving opinion detection using system fusion.
Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. Perth : Curtin University of Technology; 2003. Analysis of the Australian credit database.
Pan, Heping, Tilakaratne, Chandima, Yearwood, John, Hurst, Cameron. Ballarat, Victoria : University of Ballarat; 2004. Asymmetrical dependence test for intermarket influence analysis.
Yearwood, John, Kang, Byeongho, Kelarev, Andrei. Jeju Island, Korea : Springer; 2009. Experimental investigation of three machine learning algorithms for ITS dataset.
Ferguson, Brent, Ghosh, Ranadhir, Yearwood, John. Nottingham, United Kingdom : Nottingham Trent University; 2004. Task decomposition for the problem of alphabetic character recognition.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John. Gurgaon, India : The Information Institute; 2005. A CAD system using clustering and novel feature extraction technique.
Ofoghi, Bahadorreza, Yearwood, John. Sydney, New South Wales : ALTA; 2009. From lexical entailment to recognizing textual entailment using linguistic resources.
Bagirov, Adil, Rubinov, Alex, Yearwood, John, Stranieri, Andrew. Maui, Hawaii, USA : IEEE; 2001. A global optimisation approach to classification in medical diagnosis and prognosis.
O'Brien, Michelle, Yearwood, John. Sydney : Health Informatics Society of Australia Ltd (HISA) and Royal Aust College of General Practioners; 2003. Insights into consumer decisions surrounding adverse drug reactions : Some preliminary results.
Mammadov, Musa, Saunders, Gary, Yearwood, John. Online Blackwell Publishing; 2004. A fuzzy derivative approach to classification of outcomes from the ADRAC database.
Kelarev, Andrei, Yearwood, John, Vamplew, Peter. A polynomial ring construction for the classification of data. 2009.
Pan, Heping, Tilakaratne, Chandima, Yearwood, John. ; 2005. Predicting Australian stock market index using neural networks exploiting dynamical swings and intermarket influences.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John. ; 2005. A fully automated breast cancer recognition system using discrete-gradient based clustering and multi category feature selection.
Wu, Xinwen, Watters, Paul, Yearwood, John. Sydney, New South Wales : IEEE; 2008. New traceability codes and identification algorithm for tracing pirates.
Mammadov, Musa, Yearwood, John. Ballarat, Victoria : University of Ballarat; 2004. Relationships between different Australian interest rate swap markets.
Mammadov, Musa, Yearwood, John. Melbourne : University of Ballarat; 2004. Relationships between different term structures of Australian interest rate swap markets.
Pan, Heping, Tilakaratne, Chandima, Yearwood, John. Melbourne : University of Ballarat; 2004. Intermarket influence analysis using asymmetrical dependence test and an application for Australia and G7 industrial countries.
Xie, Wei, Mammadov, Musa, Yearwood, John. Melbourne, Victoria : IEEE; 2007. Using links to aid web classification.
Ferguson, Brent, Ghosh, Ranadhir, Yearwood, John. ; 2005. Modular neural network design for the problem of alphabetic character recognition.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Leipzig, Germany : Springer; 2005. Determining regularization parameters for derivative free neural learning.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John. Yokahama, Japan : Tokyo Institute of Technology; 2004. A hybrid evolutionary algorithm for multi category feature selection in breast cancer recognition.
Ghosh, Ranadhir, Huda, Shamsul, Yearwood, John. Sydney : University of Technology; 2005. 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.
Osman, Deanna, Yearwood, John, Vamplew, Peter. ; 2010. Automated opinion detection : Implications of the level of agreement between human raters.
Stranieri, Andrew, Yearwood, John. Swets & Zeitlinger; 2008. Enhancing learning outcomes with an interactive knowledge-based learning environment providing narrative feedback.
Zhao, Lei, Mammadov, Musa, Yearwood, John. Sydney, NSW IEEE; 2010. From convex to nonconvex: A loss function analysis for binary classification.
Pan, Heping, Tilakaratne, Chandima, Yearwood, John. Perth : Springer-Verlag; 2003. Predicting the Australian stock market index using neural networks and exploiting dynamical swings and intermarket influences.
Ofoghi, Bahadorreza, Yearwood, John. Adelaide, SA Springer; 2010. Learning parse-free event-based features for textual entailment recognition.
Yearwood, John, Stranieri, Andrew. Melbourne, Victoria James Nicholas Publishers; 2008. A study of the use of structured reasoning frameworks for improving students' reasoning quality.
Zi, Lifang, Yearwood, John, Wu, Xin. Melbourne, VIC; 2010. Adaptive clustering with feature ranking for DDoS attacks detection.
Huda, Shamsul, Yearwood, John, Stranieri, Andrew. Melbourne, VIC; 2010. Hybrid wrapper-filter approaches for input feature selection using maximum relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA).
Mammadov, Musa, Rubinov, Alex, Yearwood, John. Taylor & Francis; 2007. The study of drug-reaction relationships using global optimization techniques.
Kelarev, Andrei, Ryan, Joe, Yearwood, John. Charles Babbage Research Centre; 2009. An algorithm for the optimization of multiple classifers in data mining based on graphs.
Yearwood, John, Stranieri, Andrew. Elsevier; 2006. The generic/actual argument model of practical reasoning.
Mammadov, Musa, Yearwood, John. Adelaide : Physica-Verlag (Spriner); 2002. An introduction algorithm with selection significance based on a fuzzy deriviative.
Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil. ; 2005. Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches.
Stranieri, Andrew, Yearwood, John, Zeleznikow, John. St. Louis, USA :; 2001. Tools for placing legal decision support systems on the world wide web.
Kelarev, Andrei, Ryan, Joe, Yearwood, John. Cayley graphs as classifiers for data mining : The influence of asymmetries. 2009.
Mammadov, Musa, Yearwood, John, Zhao, Lei. Adelaide, SA; 2010. A new supervised term ranking method for text categorization.
Ivkovic, Sasha, Yearwood, John, Stranieri, Andrew. United Kingdom Carfax Publishing - Taylor & Francis Group; 2002. Discovering interesting association rules from legal databases.
Macfadyen, Alyx, Stranieri, Andrew, Yearwood, John. Edinburgh, Scotland :; 2008. Dramatic level analysis for interactive narrative.
Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil. Beijing, China :; 2005. Comparative analysis of genetic algorithm vs. evolutionary algorithm for hybrid models with discrete gradient method for artificial neural network.
Macfadyen, Alyx, Stranieri, Andrew, Yearwood, John. Perth : Murdoch University; 2006. An interaction framework for scenario-based three dimensional environments.
Kelarev, Andrei, Yearwood, John, Watters, Paul. ; 2011. Optimization of classifiers for data mining based on combinatorial semigroups.
Yearwood, John, Stranieri, Andrew. Melbourne : Health Informatics Society of Australia; 2005. A scenario-based learning environment for critical care nursing.
Bagirov, Adil, Yearwood, John, Ghosh, Ranadhir. Gold Coast, Queensland : Australian National University; 2004. Optimization of feed forward MLPs using the discrete gradient method.
Huda, Shamsul, Yearwood, John, Togneri, Roberto. ; 2009. A stochastic version of Expectation Maximization algorithm for better estimation of Hidden Markov Model.
Yearwood, John, Stranieri, Andrew. Melbourne : Victoria University; 2002. Generic arguments : A framework for supporting online deliberative discourse.
Dazeley, Richard, Kelarev, Andrei, Yearwood, John, Mammadov, Musa. Optimization of multiple classifiers in data mining based on string rewriting systems. 2009.
Huda, Shamsul, Yearwood, John, Borland, Ron. Melbourne, VIC; 2010. Cluster based rule discovery model for enhancement of government's tobacco control strategy.
Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John. London UK Blackwell Publishing; 2003. An algorithm for clustering based on non-smooth optimization techniques.
Ivkovic, Sasha, Saunders, Gary, Ghosh, Ranadhir, Yearwood, John. Vienna, Austria : IEEE; 2006. Using association and overlapping time window approach to detect drug reaction signals.
Vamplew, Peter, Yearwood, John, Dazeley, Richard, Berry, Adam. Auckland, New Zealand : Springer; 2008. On the limitations of scalarisation for multi-objective reinforcement learning of Pareto fronts.
Avery, John, Yearwood, John. Algarve, Portugal : IADIS; 2003. DOWL : A dynamic ontology language.
Ofoghi, Bahadorreza, Yearwood, John, Ghosh, Ranadhir. Gold Coast, Queensland : Springer; 2007. A within-frame ontological extension on FrameNet : Application in predicate chain analysis and question answering.
Stranieri, Andrew, Yearwood, John. IGI Global Publishers; 2011. A case for the re-use of community reasoning.
Quinn, Anthony, Stranieri, Andrew, Yearwood, John, Hafen, Gaudenz. ; 2008. AWSum - Data mining for insight.
Bagirov, Adil, Yearwood, John. Elsevier; 2006. A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems.
Jagodick, Jana, Courvisanos, Jerry, Yearwood, John, Braun, Patrice. Department of Politics and Public Administration, The University of Hong Kong; 2009. Key public sector individuals as ICT change agents : An analysis of Australian and German experience.
Osman, Deanna, Yearwood, John. Ballarat, Victoria : Australian Computer Society; 2007. Opinion search in web logs.
Yearwood, John. Australian Computer Society; 2010. Editorial.
Quinn, Anthony, Jelinek, Herbert, Stranieri, Andrew, Yearwood, John. Sydney, New South Wales : IEEE; 2008. AWSum - applying data mining in a health care scenario.