All Outputs (23)

Finding the hidden gems: recommending untagged music.
Presentation / Conference Contribution
HORSBURGH, B., CRAW, S., MASSIE, S. and BOSWELL, R. 2011. Finding the hidden gems: recommending untagged music. In Proceedings of the 22nd International joint conference on artificial intelligence (IJCAI-11), 16-22 July 2011, Barcelona, Spain. Palo Alto: AAAI Press [online], pages 2256-2261. Available from: https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-376

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 using latent semantic analysis. We... Read More about Finding the hidden gems: recommending untagged music..

Wifi-based human activity recognition using Raspberry Pi.
Presentation / Conference Contribution
FORBES, G., MASSIE, S. and CRAW, S. 2020. Wifi-based human activity recognition using Raspberry Pi. In Alamaniotis, M. and Pan, S. (eds.) Proceedings of Institute of Electrical and Electronics Engineers (IEEE) 32nd Tools with artificial intelligence international conference 2020 (ICTAI 2020), 9-11 Nov 2020, [virtual conference]. Piscataway: IEEE [online], pages 722-730. Available from: https://doi.org/10.1109/ICTAI50040.2020.00115

Ambient, non-intrusive approaches to smart home health monitoring, while limited in capability, are preferred by residents. More intrusive methods of sensing, such as video and wearables, can offer richer data but at the cost of lower resident uptake... Read More about Wifi-based human activity recognition using Raspberry Pi..

Representing temporal dependencies in smart home activity recognition for health monitoring.
Presentation / Conference Contribution
FORBES, G., MASSIE, S., CRAW, S., FRASER, L. and HAMILTON, G. 2020. Representing temporal dependencies in smart home activity recognition for health monitoring. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207480. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207480

Long term health conditions, such as fall risk, are traditionally diagnosed through testing performed in hospital environments. Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which m... Read More about Representing temporal dependencies in smart home activity recognition for health monitoring..

Representing temporal dependencies in human activity recognition.
Presentation / Conference Contribution
FORBES, G., MASSIE, S., CRAW, S., FRASER, L. and HAMILTON, G. 2019. Representing temporal dependencies in human activity recognition. In Kapetanakis, S. and Borck, H. (eds.) Proceedings of the 27th International conference on case-based reasoning workshop (ICCBR-WS19), co-located with the 27th International conference on case-based reasoning (ICCBR19), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings, 2567. Aachen: CEUR-WS [online], pages 29-38. Available from: http://ceur-ws.org/Vol-2567/paper3.pdf

Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which may be employed to aid diagnosis and management of chronic conditions without placing additional strain on health services. A pro... Read More about Representing temporal dependencies in human activity recognition..

FITsense: employing multi-modal sensors in smart homes to predict falls.
Presentation / Conference Contribution
MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. FITsense: employing multi-modal sensors in smart homes to predict falls. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 249-263. Available from: https://doi.org/10.1007/978-3-030-01081-2_17

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 to live independently for... Read More about FITsense: employing multi-modal sensors in smart homes to predict falls..

Case based reasoning as a model for cognitive artificial intelligence.
Presentation / Conference Contribution
CRAW, S. and AAMODT, A. 2018. Case based reasoning as a model for cognitive artificial intelligence. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 62-77. Available from: https://doi.org/10.1007/978-3-030-01081-2_5

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 memory. CBR's retrieve and r... Read More about Case based reasoning as a model for cognitive artificial intelligence..

A multi-objective evolutionary algorithm fitness function for case-base maintenance.
Presentation / Conference Contribution
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 Delany, S.J. and Ontañón, S. (eds.) Case-based reasoning research and development: proceedings of the 21st International conference on case-based reasoning (ICCBR 2013), 8-11 July 2013, Saratoga Springs, USA. Lecture notes in computer science, 7969. Berlin: Springer [online], pages 218-232. Available from: https://doi.org/10.1007/978-3-642-39056-2_16

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 multi-objective optimization problem t... Read More about A multi-objective evolutionary algorithm fitness function for case-base maintenance..

Plan recommendation for well engineering.
Presentation / Conference Contribution
THOMSON, R., MASSIE, S., CRAW, S., AHRIZ, H. and MILLS, I. 2011. Plan recommendation for well engineering. In Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K. and Ali, M. (eds.) Modern approaches in applied intelligence: proceedings of the 24th International conference on industrial, engineering and other applications of applied intelligent systems (IEA/AIE 2011), 28 June - 1 July 2011, Syracuse, USA. Lecture notes in computer science, 6704. Berlin: Springer [online], part II, pages 436-445. Available from: https://doi.org/10.1007/978-3-642-21827-9_45

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 and tracks progress. The Perfo... Read More about Plan recommendation for well engineering..

Music recommenders: user evaluation without real users?
Presentation / Conference Contribution
CRAW, S., HORSBURGH, B. and MASSIE, S. 2015. Music recommenders: user evaluation without real users? In Yang, Q. and Woolridge, M. (eds.) Proceedings of the 24th International joint conference on artificial intelligence (IJCAI-15), 25-31 July 2015, Buenos Aires, Argentina. Palo Alto: AAAI Press [online], pages 1749-1755. Available from: https://www.ijcai.org/Proceedings/15/Papers/249.pdf

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 be expensive, and may have difficu... Read More about Music recommenders: user evaluation without real users?.

Automatically acquiring structured case representations: the SMART way.
Presentation / Conference Contribution
ASIIMWE, S., CRAW, S., WIRATUNGA, N. and TAYLOR, B. 2008. Automatically acquiring structured case representations: the SMART way. In Ellis, R., Allen, T. and Petridis, M. (eds.) Applications and innovations in intelligent systems XV: application proceedings of the 27th Annual international conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI) (AI-2007): innovative techniques and applications of artificial intelligence, 10-12 December 2007, Cambridge, UK. London: Springer [online], pages 45-58. Available from: https://doi.org/10.1007/978-1-84800-086-5_4

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 knowledge-poor representations. The cost... Read More about Automatically acquiring structured case representations: the SMART way..

User perceptions of relevance and its effect on retrieval in a smart textile archive.
Presentation / Conference Contribution
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 Delany, S.J. and Ontañón, S. (eds.) Case-based reasoning research and development: proceedings of the 21st International conference on case-based reasoning (ICCBR 2013), 8-11 July 2013, Saratoga Springs, USA. Lecture notes in computer science, 7969. Berlin: Springer [online], pages 149-163. Available from: https://doi.org/10.1007/978-3-642-39056-2_11

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 historical context and inspire... Read More about User perceptions of relevance and its effect on retrieval in a smart textile archive..

Music-inspired texture representation.
Presentation / Conference Contribution
HORSBURGH, B., CRAW, S. and MASSIE, S. 2012. Music-inspired texture representation. In Proceedings of the 26th Association for the Advancement of Artificial Intelligence conference on artificial intelligence (AAAI-12), co-located with the 2012 Symposium on educational advances in artificial intelligence (EAAI-12), 22-26 July 2012, Toronto, Canada. Palo Alto: AAAI Press [online], pages 52-58. Available from: https://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5041

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 widely used feature. Current technique... Read More about Music-inspired texture representation..

Cold-start music recommendation using a hybrid representation.
Presentation / Conference Contribution
HORSBURGH, B., CRAW, S. and MASSIE, S. 2012. Cold-start music recommendation using a hybrid representation. Presented at the 3rd Annual digital economy 'all hands' conference (Digital Futures 2012), 23-25 October 2012, Aberdeen, UK.

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 charts [10]. In the past list... Read More about Cold-start music recommendation using a hybrid representation..

Representing problem-solving for knowledge refinement.
Presentation / Conference Contribution
CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In Proceedings of the 16th American Association for Artificial Intelligence national conference on artificial intelligence (AAAI-99), co-located with the 11th Annual conference on innovative applications of artificial intelligence (IAAI-99), 18-22 July 1999, Orlando, USA. Palo Alto: AAAI Press, pages 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 from which specialised refineme... Read More about Representing problem-solving for knowledge refinement..

Applying genetic algorithms to multi-objective land use planning.
Presentation / Conference Contribution
MATTHEWS, K.B., CRAW, S., ELDER, S., SIBBALD, A.R. and MACKENZIE, I. 2000. Applying genetic algorithms to multi-objective land use planning. In Whitley, L.D., Goldberg, D.E., Cantú-Paz, E., Spector, L., Parmee, I.C. and Beyer, H.-G. (eds.) Proceedings of the 2000 Genetic and evolutionary computation conference (GECCO 2000): joint meeting of the 9th International conference on genetic algorithms (ICGA-2000), and the 5th Annual genetic programming conference (GP-2000), 10-12 July 2000, Las Vegas, USA. San Francisco: Morgan Kaufmann, pages 613-620.

This paper explores the application of multi-objective genetic algorithms (mGAs) to rural land-use planning, a spatial allocation problem. Two mGAs are proposed. Both share an underlying structure of: fitness assignment using Pareto-dominance ranking... Read More about Applying genetic algorithms to multi-objective land use planning..

Self-optimising CBR retrieval.
Presentation / Conference Contribution
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 (ICTAI 2000), 13-15 November 2000, Vancouver, Canada. New York: IEEE [online], article number 889897, pages 376-383. Available from: https://doi.org/10.1109/TAI.2000.889897

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 effort may be demanding. In this paper we present a tool which helps to reduce... Read More about Self-optimising CBR retrieval..

Debugging knowledge-based applications with a generic toolkit.
Presentation / Conference Contribution
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 (ICTAI 2000), 13-15 November 2000, Vancouver, Canada. New York: IEEE [online], article number 889866, pages 182-185. Available from: https://doi.org/10.1109/TAI.2000.889866

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 refinement systems target a single she... Read More about Debugging knowledge-based applications with a generic toolkit..

Monitoring health in smart homes using simple sensors.
Presentation / Conference Contribution
MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. Monitoring health in smart homes using simple sensors. In Bach, K., Bunescu, R., Farri, O., Guo, A., Hasan, S., Ibrahim, Z.M., Marling, C., Raffa, J., Rubin, J. and Wu, H. (eds.) Proceedings of the 3rd International workshop on knowledge discovery in healthcare data (KDH), co-located with the 27th International joint conference on artificial intelligence and the 23rd European conference on artificial intelligence (IJCAI-ECAI 2018), 13 July 2018, Stockholm, Sweden. CEUR workshop proceedings, 2148. Aachen: CEUR-WS [online], pages 33-37. Available from: http://ceur-ws.org/Vol-2148/paper05.pdf

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 profiles are compared to bot... Read More about Monitoring health in smart homes using simple sensors..

Maintenance of case bases: current algorithms after fifty years.
Presentation / Conference Contribution
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 and the 23rd European conference on artificial intelligence (IJCAI-ECAI 2018), 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 cases in its casebase. This mea... Read More about Maintenance of case bases: current algorithms after fifty years..

An e-learning recommender that helps learners find the right materials.
Presentation / Conference Contribution
MBIPO, B., MASSIE, S. and CRAW, S. 2018. An e-learning recommender that helps learners find the right materials. In Zilberstein, S., McIlraith, S., Weinberger, K., Youngblood, G.M., Myers, K., Eaton, E. and Wollowski, M. (eds.) Proceedings of the 32nd Association for the Advancement of Artificial Intelligence (AAAI) Artificial intelligence conference (AAAI18), co-located with the 30th Innovative applications of artificial intelligence conference (IAAI18) and the 8th AAAI Educational advances in artificial intelligence (EAAI-18), 2-7 February 2018, New Orleans, Louisiana, 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 to support their learning goal... Read More about An e-learning recommender that helps learners find the right materials..