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2020 – today
- 2021
[j16]Blessing Mbipom
, Susan Craw, Stewart Massie:
Improving e-learning recommendation by using background knowledge. Expert Syst. J. Knowl. Eng. 38(7) (2021)- [i1]Glenn Forbes, Stewart Massie, Susan Craw, Christopher Clare:
Motion Detection using CSI from Raspberry Pi 4. CoRR abs/2111.09091 (2021) - 2020
- [j15]Glenn Forbes, Stewart Massie, Susan Craw:
Fall prediction using behavioural modelling from sensor data in smart homes. Artif. Intell. Rev. 53(2): 1071-1091 (2020) - [c52]Glenn Forbes, Stewart Massie, Susan Craw:
WiFi-based Human Activity Recognition using Raspberry Pi. ICTAI 2020: 722-730 - [c51]Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton:
Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c50]Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton:
Representing Temporal Dependencies in Human Activity Recognition. ICCBR Workshops 2019: 29-38 - 2018
- [c49]Blessing Mbipom, Stewart Massie, Susan Craw:
An E-Learning Recommender That Helps Learners Find the Right Materials. AAAI 2018: 7928-7933 - [c48]Susan Craw, Agnar Aamodt:
Case Based Reasoning as a Model for Cognitive Artificial Intelligence. ICCBR 2018: 62-77 - [c47]Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton:
FITsense: Employing Multi-modal Sensors in Smart Homes to Predict Falls. ICCBR 2018: 249-263 - [c46]Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton:
Monitoring Health In Smart Homes Using Simple Sensors. KDH@IJCAI 2018: 33-37 - [c45]Jose M. Juarez, Susan Craw, J. Ricardo Lopez-Delgado, Manuel Campos:
Maintenance of Case Bases: Current Algorithms after Fifty Years. IJCAI 2018: 5457-5463 - 2017
- [r5]Susan Craw:
Case-Based Reasoning. Encyclopedia of Machine Learning and Data Mining 2017: 180-188 - [r4]Susan Craw:
Manhattan Distance. Encyclopedia of Machine Learning and Data Mining 2017: 790-791 - 2016
- [j14]Eduardo Lupiani, Stewart Massie, Susan Craw, Jose M. Juarez, José T. Palma:
Case-base maintenance with multi-objective evolutionary algorithms. J. Intell. Inf. Syst. 46(2): 259-284 (2016) - [c44]Blessing Mbipom, Susan Craw, Stewart Massie:
Harnessing Background Knowledge for E-Learning Recommendation. SGAI Conf. 2016: 3-17 - 2015
- [j13]Ben Horsburgh, Susan Craw, Stewart Massie:
Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems. Artif. Intell. 219: 25-39 (2015) - [c43]Susan Craw, Ben Horsburgh, Stewart Massie:
Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail. ICCBR 2015: 73-87 - [c42]Susan Craw, Ben Horsburgh, Stewart Massie:
Music Recommenders: User Evaluation Without Real Users? IJCAI 2015: 1749-1755 - 2013
- [c41]Ben Horsburgh, Susan Craw, Dorothy A. Williams, Simon M. Burnett, Katie Morrison, Suzanne Martin:
User Perceptions of Relevance and Its Effect on Retrieval in a Smart Textile Archive. ICCBR 2013: 149-163 - [c40]Eduardo Lupiani, Susan Craw, Stewart Massie, José M. Juárez, José T. Palma:
A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance. ICCBR 2013: 218-232 - 2012
- [c39]Ben Horsburgh, Susan Craw, Stewart Massie:
Music-Inspired Texture Representation. AAAI 2012: 52-58 - 2011
- [j12]Martijn van den Branden, Nirmalie Wiratunga, Dean Burton, Susan Craw:
Integrating case-based reasoning with an electronic patient record system. Artif. Intell. Medicine 51(2): 117-123 (2011) - [c38]Richard Thomson, Stewart Massie, Susan Craw, Hatem Ahriz, Ian Mills:
Plan Recommendation for Well Engineering. IEA/AIE (2) 2011: 436-445 - [c37]Ben Horsburgh, Susan Craw, Stewart Massie, Robin Boswell:
Finding the Hidden Gems: Recommending Untagged Music. IJCAI 2011: 2256-2261 - 2010
- [c36]Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothian, Susan Craw:
Applying Machine Translation Evaluation Techniques to Textual CBR. ICCBR 2010: 21-35 - [r3]Susan Craw:
Case-Based Reasoning. Encyclopedia of Machine Learning 2010: 147-154 - [r2]Susan Craw:
Dynamic Memory Model. Encyclopedia of Machine Learning 2010: 298 - [r1]Susan Craw:
Manhattan Distance. Encyclopedia of Machine Learning 2010: 639
2000 – 2009
- 2009
- [c35]Susan Craw:
We're Wiser Together. ICCBR 2009: 1-5 - 2008
- [c34]Ibrahim Adeyanju, Susan Craw, Abhishek Ghose, Allyson Gray, Nirmalie Wiratunga:
RaGoÛt: An Arpeggio of Tastes. ECCBR Workshops 2008: 229-238 - [c33]Amandine Orecchioni, Nirmalie Wiratunga, Stewart Massie, Susan Craw:
k-NN Aggregation with a Stacked Email Representation. ECCBR 2008: 415-429 - 2007
- [j11]Bruce Taylor, David Robertson, Nirmalie Wiratunga, Susan Craw, Dawn Mitchell, Elaine Stewart:
Using computer aided case based reasoning to support clinical reasoning in community occupational therapy. Comput. Methods Programs Biomed. 87(2): 170-179 (2007) - [c32]Susan Craw, Stewart Massie, Nirmalie Wiratunga:
Informed Case Base Maintenance: A Complexity Profiling Approach. AAAI 2007: 1618-1621 - [c31]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
When Similar Problems Don't Have Similar Solutions. ICCBR 2007: 92-106 - [c30]Stella Maris Asiimwe, Susan Craw, Bruce Taylor, Nirmalie Wiratunga:
Case Authoring: From Textual Reports to Knowledge-Rich Cases. ICCBR 2007: 179-193 - [c29]Stewart Massie, Nirmalie Wiratunga, Susan Craw, Alessandro Donati, Emmanuel Vicari:
From Anomaly Reports to Cases. ICCBR 2007: 359-373 - [c28]Stella Maris Asiimwe, Susan Craw, Nirmalie Wiratunga, Bruce Taylor:
Automatically Acquiring Structured Case Representations: The SMART Way. SGAI Conf. (Applications) 2007: 45-58 - 2006
- [j10]Susan Craw, Nirmalie Wiratunga, Ray Rowe:
Learning adaptation knowledge to improve case-based reasoning. Artif. Intell. 170(16-17): 1175-1192 (2006) - [c27]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
Complexity Profiling for Informed Case-Base Editing. ECCBR 2006: 325-339 - 2005
- [j9]Ramón López de Mántaras, David McSherry, Derek G. Bridge, David B. Leake, Barry Smyth, Susan Craw, Boi Faltings, Mary Lou Maher, Michael T. Cox, Kenneth D. Forbus, Mark T. Keane, Agnar Aamodt, Ian D. Watson:
Retrieval, reuse, revision and retention in case-based reasoning. Knowl. Eng. Rev. 20(3): 215-240 (2005) - [j8]Ashok K. Goel, Susan Craw:
Design, innovation and case-based reasoning. Knowl. Eng. Rev. 20(3): 271-276 (2005) - [c26]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
Complexity-Guided Case Discovery for Case Based Reasoning. AAAI 2005: 216-221 - 2004
- [j7]Nirmalie Wiratunga, Susan Craw, Bruce Taylor, Genevieve Davis:
Case-based reasoning for matching technology to people's needs. Knowl. Based Syst. 17(2-4): 139-146 (2004) - [c25]Stewart Massie, Susan Craw, Nirmalie Wiratunga:
A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation. SGAI Conf. (Applications) 2004: 222-234 - 2003
- [c24]Nirmalie Wiratunga, Susan Craw, Stewart Massie:
Index Driven Selective Sampling for CBR. ICCBR 2003: 637-651 - [c23]Susan Craw:
Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers. MLDM 2003: 1-6 - [c22]Nirmalie Wiratunga, Susan Craw, Bruce Taylor, Genevieve Davis:
CBR for SmartHouse Technology. SGAI Conf. (Applications) 2003: 63-76 - 2002
- [c21]Nirmalie Wiratunga, Susan Craw, Ray Rowe:
Learning to Adapt for Case-Based Design. ECCBR 2002: 421-435 - [e1]Susan Craw, Alun D. Preece:
Advances in Case-Based Reasoning, 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002, Proceedings. Lecture Notes in Computer Science 2416, Springer 2002, ISBN 3-540-44109-3 [contents] - 2001
- [j6]Susan Craw, Jacek Jarmulak, Ray Rowe:
Maintaining Retrieval Knowledge in a Case-Base Reasoning System. Comput. Intell. 17(2): 346-363 (2001) - [c20]Susan Craw, Jacek Jarmulak, Ray Rowe:
Learning and Applying Case-Based Adaptation Knowledge. ICCBR 2001: 131-145 - [c19]Jacek Jarmulak, Susan Craw, Ray Rowe:
Using Case-Base Data to Learn Adaptation Knowledge for Design. IJCAI 2001: 1011-1020 - 2000
- [c18]Nirmalie Wiratunga, Susan Craw:
Informed Selection of Training Examples for Knowledge Refinement. EKAW 2000: 233-248 - [c17]Robin Boswell, Susan Craw:
Experiences with a Generic Refinement Toolkit (Short Paper). EKAW 2000: 249-256 - [c16]Jacek Jarmulak, Susan Craw, Ray Rowe:
Genetic Algorithms to Optimise CBR Retrieval. EWCBR 2000: 136-147 - [c15]Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, Iain MacKenzie:
Applying Genetic Algorithms to Multi-Objective Land Use Planning. GECCO 2000: 613-620 - [c14]Susan Craw, Robin Boswell:
Debugging knowledge-based applications with a generic toolkit. ICTAI 2000: 182-185 - [c13]Jacek Jarmulak, Susan Craw, Ray Rowe:
Self-optimising CBR retrieval. ICTAI 2000: 376-383
1990 – 1999
- 1999
- [j5]Robin Boswell, Susan Craw:
Knowledge modelling for a generic refinement framework. Knowl. Based Syst. 12(5-6): 317-325 (1999) - [c12]Susan Craw, Robin Boswell:
Representing Problem-Solving for Knowledge Refinement. AAAI/IAAI 1999: 227-234 - [c11]Robin Boswell, Susan Craw:
Organising Knowledge Refinement Operators. EUROVAV 1999: 149-161 - [c10]Nirmalie Wiratunga, Susan Craw:
Incorporating Backtracking Search with Knowledge Refinement. EUROVAV 1999: 193-205 - 1998
- [c9]Susan Craw, Nirmalie Wiratunga, Ray Rowe:
Case-Based Design for Tablet Formulation. EWCBR 1998: 358-369 - 1997
- [j4]Marie-Christine Rousset, Susan Craw:
ECAI-96 workshop on validation, verification and refinement of KBS: A short report. Knowl. Eng. Rev. 12(1): 95-98 (1997) - [c8]Robin Boswell, Susan Craw, Ray Rowe:
Knowledge Refinement for a Design System. EKAW 1997: 49-64 - [c7]Gareth J. Palmer, Susan Craw:
The Selection of Training Cases for Automated Knowledge Refinement. EUROVAV 1997: 205-215 - [c6]Susan Craw, Robin Boswell, Ray Rowe:
Knowledge Refinement to Debug and Maintain a Tablet Formulation System. ICTAI 1997: 446-453 - 1996
- [j3]Susan Craw:
Refinement complements verification and validation. Int. J. Hum. Comput. Stud. 44(2): 245-256 (1996) - 1995
- [j2]Derek H. Sleeman, Michalis Rissakis, Susan Craw, Nicolas Graner, Sunil Sharma:
Consultant-2: pre- and post-processing of Machine Learning applications. Int. J. Hum. Comput. Stud. 43(1): 43-63 (1995) - [c5]Gareth J. Palmer, Susan Craw:
Utilising Explanation to Assist the Refinement of Knowledge-Based Systems. EUROVAV 1995: 201-211 - [c4]Susan Craw, Paul Hutton:
Protein Folding: Symbolic Refinement Competes with Neural Networks. ICML 1995: 133-141 - 1993
- [j1]Nicolas Graner, Sunil Sharma, Derek H. Sleeman, Michalis Rissakis, Susan Craw, Chris Moore:
The Machine Learning Toolbox Consultant. Int. J. Artif. Intell. Tools 2(3): 307-328 (1993) - [c3]Susan Craw, Derek H. Sleeman:
Refinement in Response to Validation. EUROVAV 1993: 85-99 - 1991
- [b1]Susan Craw:
Automating the refinement of knowledge based systems. University of Aberdeen, UK, 1991 - [c2]Susan Craw, Derek H. Sleeman:
The Flexibility of Speculative Refinement. ML 1991: 28-32 - 1990
- [c1]Susan Craw, Derek H. Sleeman:
Automating the Refinement of Knowledge-Based Systems. ECAI 1990: 167-172
Coauthor Index
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