Recent Submissions

  • Generating easy and hard problems using the Proximate Optimality Principle. 

    McCall, John; Christie, Lee A.; Brownlee, Alexander Edward Ian (ACM http://doi.acm.org/10.1145/2739482.2764890, 2015)
    We present an approach to generating problems of variable difficulty based on the well-known Proximate Optimality Principle (POP), often paraphrased as "similar solutions have similar fitness". We explore definitions of ...
  • Partial structure learning by subset Walsh transform. 

    Christie, Lee A.; Lonie, David P.; McCall, John (IEEE http://dx.doi.org/10.1109/UKCI.2013.6651297, 2013)
    Estimation of distribution algorithms (EDAs) use structure learning to build a statistical model of good solutions discovered so far, in an effort to discover better solutions. The non-zero coefficients of the Walsh ...
  • Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings. 

    Christie, Lee A.; McCall, John; Lonie, David P. (ACM http://dx.doi.org/10.1145/2576768.2598240, 2014)
    Problem structure, or linkage, refers to the interaction between variables in a black-box fitness function. Discovering structure is a feature of a range of algorithms, including estimation of distribution algorithms (EDAs) ...
  • Structural coherence of problem and algorithm: an analysis for EDAs on all 2-bit and 3-bit problems. 

    Browlnee, Alexander Edward Ian; McCall, John; Christie, Lee A. (IEEE http://dx.doi.org/10.1109/CEC.2015.7257139, 2015-05)
    Metaheuristics assume some kind of coherence between decision and objective spaces. Estimation of Distribution algorithms approach this by constructing an explicit probabilistic model of high fitness solutions, the ...
  • A multi-objective evolutionary algorithm fitness function for case-base maintenance. 

    Lupiani, Eduardo; Craw, Susan; Massie, Stewart; Juarez, Jose M.; Palma, Jose T. (Springer. http://dx.doi.org/10.1007/978-3-642-39056-2_16, 2013-07)
    Case-Base Maintenance (CBM) has two important goals. On the one hand, it aims to reduce the size of the case-base. On the other hand, it has to improve the accuracy of the CBR system. CBM can be represented as a ...
  • Plan recommendation for well engineering. 

    Thomson, Richard; Massie, Stewart; Craw, Susan; Ahriz, Hatem; Mills, Ian (Springer http://dx.doi.org/10.1007/978-3-642-21827-9_45, 2011-07)
    Good project planning provides the basis for successful offshore well drilling projects. In this domain, planning occurs in two phases: an onshore phase develops a project plan; and an offshore phase implements the plan ...
  • Designing a context-aware cyber physical system for detecting security threats in motor vehicles. 

    Petrovski, Andrei; Rattadilok, Prapa; Petrovski, Sergei (Association for Computing Machinery http://dx.doi.org/10.1145/2799979.2800029, 2015-09)
    An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed in the paper and is applied within the context of providing data availability by monitoring ...
  • Music recommenders: user evaluation without real users? 

    Craw, Susan; Horsburgh, Ben; Massie, Stewart (AAAI/International Joint Conferences on Artificial Intelligence (IJCAI) http://ijcai.org/papers15/Papers/IJCAI15-249.pdf, 2015-07)
    Good music recommenders should not only suggest quality recommendations, but should also allow users to discover new/niche music. User studies capture explicit feedback on recommendation quality and novelty, but can ...
  • Structured text retrieval by means of affordances and genre. 

    Clark, Malcolm John (British Computer Society/Information Retrieval Specialist Group. http://ewic.bcs.org/content/ConWebDoc/13788, 2007-08)
    This paper offers a proposal for some preliminary research on the retrieval of structured text, such as extensible mark-up language (XML). We believe that capturing the way in which a reader perceives the meaning of ...
  • Genre analysis of structured e-mails for corpus profiling. 

    Clark, Malcolm John; Ruthven, Ian; Holt, Patrik (BCS-IRSG http://ewic.bcs.org/content/ConWebDoc/26114, 2008-10)
    This paper reports on our approach to the analysis of genre recognition using eyetracking. We focused on a collection of different types of email which could represent different datasets, such as, mailing lists for ...
  • Looking for genre: the use of structural features during search tasks with Wikipedia. 

    Clark, Malcolm John; Ruthven, Ian; Holt, Patrik; Song, Dawei (ACM. http://dx.doi.org/10.1145/2362724.2362751, 2012-08)
    This paper reports on our task-based observational, logged, questionnaire study and analysis of ocular behavior pertaining to the interaction of structural features of text in Wikipedia using eye tracking. We set natural ...
  • Classifying XML documents by using genre features. 

    Clark, Malcolm John; Watt, Stuart (IEEE http://dx.doi.org/10.1109/DEXA.2007.120, 2007-09)
    The categorization of documents is traditionally topic-based. This paper presents a complementary analysis of research and experiments on genre to show that encouraging results can be obtained by using genre structure ...
  • Anomaly monitoring framework based on intelligent data analysis. 

    Rattadilok, Prapa; Petrovski, Andrei; Petrovski, Sergei (Springer. http://dx.doi.org/10.1007/978-3-642-41278-3_17, 2013-10)
    Real-time data processing has become an increasingly important challenge as the need for faster analysis of big data widely manifests itself. In this research, several methods of Computational Intelligence have been applied ...
  • Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/CIVEMSA.2013.6617402, 2013-07)
    The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this ...
  • Self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/EALS.2014.7009508, 2014-12)
    A generic framework for evolving and autonomously controlled systems has been developed and evaluated in this paper. A three-phase approach aimed at identification, classification of anomalous data and at prediction of its ...
  • Automated inferential measurement system for traffic surveillance: enhancing situation awareness of UAVs by computational intelligence. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/CICA.2014.7013256, 2014-12)
    An adaptive inferential measurement framework for control and automation systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making inferences related ...
  • Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. 

    Wang, Lei; Song, Dawei; Elyan, Eyad (ACM http://dx.doi.org/10.1145/2396761.2398433, 2012-10)
    Most of the state-of-art approaches to Query-by-Example (QBE) video retrieval are based on the Bag-of-visual-Words (BovW) representation of visual content. It, however, ig- nores the spatial-temporal information, which ...
  • Automatic 3D face recognition using fourier descriptors. 

    Elyan, Eyad; Ugail, Hassan (IEEE Computer Society. http://dx.doi.org/10.1109/CW.2009.48, 2009-09)
    3D face recognition is attracting more attention due to the recent development in 3D facial data acquisition techniques. It is strongly believed that 3D Face recognition systems could overcome the inherent problems of ...
  • Interactive Surface Design and Manipulation using PDE-Method through Autodesk Maya plugin. 

    Elyan, Eyad; Ugail, Hassan (IEEE Computer Society http://dx.doi.org/10.1109/CW.2009.49, 2009-09)
    This paper aims to propose a method for geometric design, modelling and shape manipulation using minimum input design parameters. Here, we address the method for the construction of 3D geometry based on the use of ...
  • Automatically acquiring structured case representations: the SMART way. 

    Asiimwe, Stella; Craw, Susan; Wiratunga, Nirmalie; Taylor, Bruce J. (Springer Verlag. http://dx.doi.org/10.1007/978-1-84800-086-5_4, 2008)
    Acquiring case representations from textual sources remains an interesting challenge for CBR research. Approaches based on methods in information retrieval require large amounts of data and typically result in ...

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