Now showing items 1-36 of 36

  • Applying genetic algorithms to multi-objective land use planning 

    Matthews, Keith B.; Craw, Susan; Elder, S.; Sibbald, A.; MacKenzie, I. (Morgan Kaufmann (now Elsevier) http://www.elsevier.com, 2000-07)
    MATTHEWS, K., CRAW, S., ELDER, S., SIBBALD, A. and MACKENZIE, I. 2000. Applying genetic algorithms to multi-objective land use planning. In: Proceedings of the Genetic and Evolutionary Computation Conference. 8-12 July 2000. Las Vegas, Nevada: Riviera Hotel and Casino. pp.613-620.
    This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an underlying structure of: fitness assignment ...
  • Automatically acquiring structured case representations: the SMART way. 

    Asiimwe, Stella Maris; Craw, Susan; Wiratunga, Nirmalie; Taylor, Bruce J. (Springer Verlag. http://dx.doi.org/10.1007/978-1-84800-086-5_4, 2008)
    ASIIMWE, S., CRAW, S., WIRATUNGA, N. and TAYLOR, B., 2008. Automatically acquiring structured case representations: the SMART way. In: R. ELLIS, T. ALLEN and M. PETRIDIS. Applications and Innovations in Intelligent Systems XV: Proceedings of AI- 2007: The Twenty-Seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. London: Springer Verlag. Pp. 45-58.
    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 ...
  • Case based reasoning as a model for cognitive artificial intelligence. 

    Craw, Susan; Aamodt, Agnar
    CRAW, S. and AAMODT, A. [2018]. Case based reasoning as a model for cognitive artificial intelligence. In Lecture notes in computer science: Proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer, (accepted).
    Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their ...
  • Case-base maintenance with multi-objective evolutionary algorithms. 

    Lupiani, Eduardo; Massie, Stewart; Craw, Susan; Juarez, Jose M.; Palma, Jose T. (Springer https://dx.doi.org/10.1007/s10844-015-0378-z, 2015-09-21)
    LUPIANI, E., MASSIE, S., CRAW, S., JUAREZ, J.M. and PALMA, J., 2016. Case-base maintenance with multi-objective evolutionary algorithms. Journal of Intelligent Information Systems, Vol 46(2), pp. 259-284.
    Case-Base Reasoning is a problem-solving methodology that uses old solved problems, called cases, to solve new problems. The case-base is the knowledge source where the cases are stored, and the amount of stored cases is ...
  • Case-based reasoning for matching SMARTHOUSE technology to people's needs 

    Wiratunga, Nirmalie; Craw, Susan; Taylor, Bruce J. (Elsevier http://www.elsevier.com/wps/find/journaldescription.cws_home/525448/description#description, 2004)
    WIRATUNGA, N., CRAW, S. and TAYLOR, B., 2004. Case-based reasoning for matching SMARTHOUSE technology to people's needs. Knowledge based systems, 17 (2-4), pp. 139-146
    SMARTHOUSE technology offers devices that help the elderly and people with disabilities to live independently in their homes. This paper presents our experiences from a pilot project applying case-based reasoning techniques ...
  • Cold-start music recommendation using a hybrid representation. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (dot.rural http://www.dotrural.ac.uk/digitalfutures2012/session5, 2012-10-25)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2012. Cold-start music recommendation using a hybrid representation. Available from: http://www.dotrural.ac.uk/digitalfutures2012/session5 [Accessed 27 September 2013]
    Digital music systems are a new and exciting way to dis- cover, share, and listen to new music. Their success is so great, that digital downloads are now included alongside tra- ditional record sales in many o cial music ...
  • Complexity modelling for case knowledge maintenance in case-based reasoning. 

    Massie, Stewart (The Robert Gordon University School of Computing, 2006-12)
    Case-based reasoning solves new problems by re-using the solutions of previously solved similar problems and is popular because many of the knowledge engineering demands of conventional knowledge-based systems are removed. ...
  • Consultant-2: Pre- and post-processing of machine learning applications. 

    Sleeman, D.; Rissakis, M.; Craw, Susan; Graner, N.; Sharma, S. (Elsevier http://dx.doi.org/10.1006/ijhc.1995.1035, 1995-07)
    SLEEMAN, D., RISSAKIS, M., CRAW, S., GRANER, N. and SHARMA, S., 1995. Consultant-2: Pre- and post processing of machine learning applications. International Journal of Human Computer Studies, 43 (1), pp. 43-63
    The knowledge acquisition bottleneck in the development of large knowledge-based applications has not yet been resolved. One approach which has been advocated is the systematic use of Machine Learning (ML) techniques. ...
  • Debugging knowledge-based applications with a generic toolkit 

    Craw, Susan; Boswell, Robin (IEEE, 2000-11)
    CRAW, S. and BOSWELL, R. 2000. Debugging knowledge-based applications with a generic toolkit. In: Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence. 2000. Vancouver, Canada. pp182-185.
    Knowledge refinement tools assist in the debugging and maintenance of knowledge based systems (KBSs) by attempting to identify and correct faults in the knowledge that account for incorrect problem-solving. Most ...
  • Design, innovation and case-based reasoning 

    Goel, Ashok K.; Craw, Susan (Cambridge University Press http://dx.doi.org/10.1017/S0269888906000609, 2005)
    GOEL, A. and CRAW, S., 2005. Design, innovation and case-based reasoning. Knowledge Engineering Review, 20 (3), pp. 271-276
    The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning ...
  • An e-learning recommender that helps learners find the right materials. 

    Mbipom, Blessing; Massie, Stewart; Craw, Susan (Association for the Advancement of Artificial Intelligence https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16253, 2018-02-03)
    MBIPOM, B., MASSIE, S. and CRAW, S. 2018. An e-learning recommender that helps learners find the right materials. In the Proceedings of the 32nd Association of the Advancement of Artificial Intelligence conference (AAAI-18), including the 8th educational advances in artificial intelligence symposium (EAAI-18), 3-4 February 2018, New Orleans, USA. Palo Alto: AAAI Press [online], pages 7928-7933. Available from: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16253
    Learning materials are increasingly available on the Web making them an excellent source of information for building e-Learning recommendation systems. However, learners often have difficulty finding the right materials ...
  • Finding the hidden gems: recommending untagged music. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart; Boswell, Robin (AAAI Press/ International Joint Conferences on Artificial Intelligence., 2011)
    HORSBURGH, B., CRAW, S., MASSIE, S. and BOSWELL, R., 2011. Finding the hidden gems: recommending untagged music. In: WALSH, T., ed. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. 16-22 July 2011. Menlo Park, California: AAAI Press/ International Joint Conferences on Artificial Intelligence. Pp. 2256-2261
    We have developed a novel hybrid representation for Music Information Retrieval. Our representation is built by incorporating audio content into the tag space in a tag-track matrix, and then learning hybrid concepts ...
  • FITsense: multi-modal sensors in smart homes to predict falls. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (Springer http://iccbr18.com/accepted-papers/, 2018-07-09)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. [2018]. FITsense: multi-modal sensors in smart homes to predict falls. In Lecture notes in computer science: Proceedings of the 26th International conference on case-based reasoning (ICCBR-18), 9-12 July 2018, Stockholm, Sweden. Cham: Springer [online], (accepted).
    As people live longer, the increasing average age of the population places additional strains on our health and social services. There are widely recognised benefits to both the individual and society from supporting people ...
  • Harnessing background knowledge for e-learning recommendation. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-47175-4_1, 2016-11-05)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2016. Harnessing background knowledge for e-learning recommendation. In Bramer, M. and Petridis, M. (eds.) 2016. Research and development in intelligent systems XXXIII: incorporating applications and innovations in intelligent systems XXIV: proceedings of the 36th SGAI nternational conference on innovative techniques and applications of artificial intelligence (AI-2016), 13-15 December 2016, Cambridge, UK. Cham: Springer [online], pages 3-17. Available from: https://dx.doi.org/10.1007/978-3-319-47175-4_1
    The growing availability of good quality, learning-focused content on the Web makes it an excellent source of resources for e-learning systems. However, learners can find it hard to retrieve material well-aligned with ...
  • Improving e-learning recommendation by using background knowledge. 

    Mbipom, Blessing; Craw, Susan; Massie, Stewart (Wiley https://doi.org/10.1111/exsy.12265, 2018-01-26)
    MBIPOM, B., CRAW, S. and MASSIE, S. 2018. Improving e-learning recommendation by using background knowledge. Expert systems [online], Early View. Available from: https://doi.org/10.1111/exsy.12265
    There is currently a large amount of e-Learning resources available to learners on the Web. However, learners often have difficulty finding and retrieving relevant materials to support their learning goals because they ...
  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • Integrating content and semantic representations for music recommendation. 

    Horsburgh, Ben (Robert Gordon University School of Computing Science, 2013-07)
    Music recommender systems are used by millions of people every day to discover new and exciting music. Central to making recommendations is the representation of each track, which may be used to calculate similarity. ...
  • A knowledge acquisition tool to assist case authoring from texts. 

    Asiimwe, Stella Maris (The Robert Gordon University School of Computing, 2009-03)
    Case-Based Reasoning (CBR) is a technique in Artificial Intelligence where a new problem is solved by making use of the solution to a similar past problem situation. People naturally solve problems in this way, without ...
  • Knowledge modelling for a generic refinement framework 

    Boswell, Robin; Craw, Susan (Elsevier http://dx.doi.org/10.1016/S0950-7051(99)00018-0, 1999-10)
    BOSWELL, R. and CRAW, S., 1999. Knowledge modelling for a generic refinement framework. Knowledge Based Systems, 12 (5-6), pp. 317-325
    Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools ...
  • Learning adaptation knowledge to improve case-based reasoning 

    Craw, Susan; Wiratunga, Nirmalie; Rowe, Ray (Elsevier http://dx.doi.org/10.1016/j.artint.2006.09.001, 2006-11)
    CRAW, S., WIRATUNGA, N. and ROWE, R., 2006. Learning adaptation knowledge to improve case-based reasoning. Artificial Intelligence, 170 (16-17), pp. 1175-1192.
    Case-Based Reasoning systems retrieve and reuse solutions for previously solved problems that have been encountered and remembered as cases. In some domains, particularly where the problem solving is a classification task, ...
  • Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (Elsevier http://dx.doi.org/10.1016/j.artint.2014.11.004, 2015-02)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2015. Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artificial Intelligence, 219, pp. 25-39.
    Online recommender systems are an important tool that people use to find new music. To generate recommendations, many systems rely on tag representations of music. Such systems however suffer from tag sparsity, whereby tracks ...
  • Maintaining retrieval knowledge in a case-based reasoning system. 

    Craw, Susan; Jarmulak, Jacek; Rowe, Ray (Blackwell http://www.blackwellpublishing.com/journal.asp?ref=0824-7935&site=1, 2001-05)
    CRAW, S., JARMULAK, J. and ROWE, R., 2001. Maintaining retrieval knowledge in a case-based reasoning system. Computational Intelligence, 17 (2), pp. 346-363.
    The knowledge stored in a case-base is central to the problem-solving of a Case-Based Reasoning (CBR) system. Therefore, case-base main- tenance is a key component of maintaining a CBR system. However, other knowledge ...
  • Maintenance of case bases: current algorithms after fifty years. 

    Juarez, Jose M.; Craw, Susan; Lopez-Delgado, J. Ricardo; Campos, Manuel (International Joint Conferences on Artificial Intelligence https://doi.org/10.24963/ijcai.2018/770 http://www.ijcai.org, 2018-07-13)
    JUAREZ, J.M., CRAW, S., LOPEZ-DELGADO, J.R. and CAMPOS, M. 2018. Maintenance of case bases: current algorithms after fifty years. In Lang, J. (ed.) Proceedings of the 27th International joint conference on artificial intelligence (IJCAI-18), 13-19 July 2018, Stockholm, Sweden. Freiburg: IJCAI [online], pages 5457-5463. Available from: https://doi.org/10.24963/ijcai.2018/770
    Case-Based Reasoning (CBR) learns new knowledge from data and so can cope with changing environments. CBR is very different from modelbased systems since it can learn incrementally as new data is available, storing new ...
  • Monitoring health in smart homes using simple sensors. 

    Massie, Stewart; Forbes, Glenn; Craw, Susan; Fraser, Lucy; Hamilton, Graeme (ICCBR (Organisers), 2018-07-13)
    MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. [2018]. Monitoring health in smart homes using simple sensors. In Proceedings of the 3rd International workshop on knowledge discovery in healthcare data co-located with the 26th International joint conference on artificial intelligence (IJCAI 2018), 13 July 2018, Stockholm, Sweden.
    We consider use of an ambient sensor network, installed in Smart Homes, to identify low level events taking place which can then be analysed to generate a resident's profile of activities of daily living (ADLs). These ADL ...
  • 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)
    LUPIANI, E., CRAW, S., MASSIE, S., JUAREZ, J. M. and PALMA, J. T., 2013. A multi-objective evolutionary algorithm fitness function for case-base maintenance. In: S. J. DELANY and S. ONTANON, eds. Case-Based Reasoning Research and Development: Proceedings of the 21st International Conference, ICCBR 2013. 8-11 July 2013. Berlin: Springer. Pp. 218-232.
    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 ...
  • Music recommendation: audio neighbourhoods to discover music in the long tail. 

    Craw, Susan; Horsburgh, Ben; Massie, Stewart (Springer https://dx.doi.org/10.1007/978-3-319-24586-7_6, 2015-11-26)
    CRAW, S., HORSBURGH, B. and MASSIE, S. 2015. Music recommendation: audio neighbourhoods to discover music in the long tail. Lecture notes in computer science [online], 9343, Proceedings of the 23rd international conference on case-based reasoning (ICCBR 2015), pages 73-87. Available from: https://dx.doi.org/10.1007/978-3-319-24586-7_6
    Millions of people use online music services every day and recommender systems are essential to browse these music collections. Users are looking for high quality recommendations, but also want to discover tracks and artists ...
  • 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)
    CRAW, S., HORSBURGH, B. and MASSIE, S., 2015. Music recommenders: user evaluation without real users? In: Q. YANG and M. WOOLDRIDGE, eds. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. 25-31 July 2015. [online] Palo Alto: AAAI/IJCAI pp. 1749-1755. Available from: http://ijcai.org/papers15/contents.php [Accessed 10 August 2015]
    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 ...
  • Music-inspired texture representation. 

    Horsburgh, Ben; Craw, Susan; Massie, Stewart (AAAI Press. http://www.aaai.org/Press/Proceedings/aaai12.php, 2012-07)
    HORSBURGH, B., CRAW, S. and MASSIE, S., 2012. Music-inspired texture representation. In: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-12). 22-26 July 2012. Palo Alto, CA: AAAI Press. Pp. 52-58.
    Techniques for music recommendation are increasingly relying on hybrid representations to retrieve new and exciting music. A key component of these representations is musical content, with texture being the most ...
  • 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)
    THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I., 2011. Plan recommendation for well engineering. In: K. G. MEHOTRA, C. K. MOHAN, J. C. OH, P. K. VARSHNEY and M. ALI, eds. Modern Approaches in Applied Intelligence: Proceedings of the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Part II. 28 June – 1 July 2011. Berlin: Springer. Pp. 436-445.
    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 ...
  • Refinement complements verification and validation 

    Craw, Susan (Elsevier http://dx.doi.org/10.1006/ijhc.1996.0012, 1996-02)
    CRAW, S., 1996. Refinement complements verification and validation. International Journal of Human Computer Studies, 44 (2), pp. 245-256
    Knowledge based systems are being applied in ever increasing numbers. The development of knowledge acquisition tools has eased the “Knowledge Acquisition Bottleneck”. More recently there has been a demand for mechanisms ...
  • Refinement in response to validation. 

    Craw, Susan; Sleeman, D. (Elsevier http://dx.doi.org/10.1016/0957-4174(94)E0025-P, 1995-07)
    CRAW, S. and SLEEMAN, D., 1995. Refinement in response to validation. Expert Systems with Applications, 8 (3), pp. 343-349
    Knowledge-based systems (KBSs) are being applied in ever increasing numbers. In parallel with the development of knowledge acquisition tools is the demand for mechanisms to assure their quality, particularly in safety ...
  • Representing problem-solving for knowledge refinement. 

    Craw, Susan; Boswell, Robin (AAAI (distributed by MIT Press), 1999-09)
    CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In: AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE. AAAI-99. Proceedings of the Sixteenth National Conference on Artificial Intelligence and The Eleventh Annual Conference on Innovative Applications of Artificial Intelligence. 18-22 July 1999. Orlando, Florida. pp. 227-234
    Knowledge refinement tools seek to correct faulty knowledge based systems (KBSs) by identifying and repairing potentially faulty rules. The goal of the KrustWorks project is to provide a source of refinement components ...
  • Retrieval, reuse, revision and retention in case-based reasoning 

    Craw, Susan (Cambridge University Press http://dx.doi.org/10.1017/S0269888906000646, 2005)
    De Mantaras, Ramon Lopez et al, 2005. Retrieval, reuse, revision and retention in case-based reasoning. Knowledge Engineering Review, 20 (3), pp. 215-240.
    Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to ...
  • Self adapting websites: mining user access logs. 

    Bathumalai, Ganesan (The Robert Gordon University School of Computing, 2008-06)
    The Web can be regarded as a large repository of diversified information in the form of millions of websites distributed across the globe. However, the ever increasing number of websites in the Web has made it extremely ...
  • Self-optimising CBR retrieval 

    Jarmulak, Jacek; Craw, Susan; Rowe, Ray (IEEE, 2000-11)
    JARMULAK, J., CRAW, S. and ROWE, R. 2000. Self-optimising CBR retrieval. In: Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence. 13-15 November 2000. Vancouver, Canada. pp.376-383.
    One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effortmay be demanding. In this paper we ...
  • User perceptions of relevance and its effect on retrieval in a smart textile archive. 

    Horsburgh, Ben; Craw, Susan; Williams, Dorothy; Burnett, Simon M.; Morrison, Katie; Martin, Suzanne (Springer-Verlag http://dx.doi.org/10.1007/978-3-642-39056-2_11, 2013)
    HORSBURGH, B., CRAW, S., WILLIAMS, D., BURNETT, S., MORRISON, K. and MARTIN, S., 2013. User perceptions of relevance and its effect on retrieval in a smart textile archive. In: S. J. DELANY and S. ONTANON, EDS. Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013. 8-11 July 2013. Berlin: Springer-Verlag. Pp. 149-163.
    The digitisation of physical textiles archives is an important process for the Scottish textiles industry. This transformation creates an easy access point to a wide breadth of knowledge, which can be used to understand ...