K-nearest neighbour classifiers-a tutorial P Cunningham, SJ Delany ACM computing surveys (CSUR) 54 (6), 1-25, 2021 | 1351 | 2021 |
Supervised learning P Cunningham, M Cord, SJ Delany Machine learning techniques for multimedia: case studies on organization and …, 2008 | 662 | 2008 |
A case-based technique for tracking concept drift in spam filtering SJ Delany, P Cunningham, A Tsymbal, L Coyle International Conference on Innovative Techniques and Applications of …, 2004 | 316 | 2004 |
SMS spam filtering: Methods and data SJ Delany, M Buckley, D Greene Expert Systems with Applications 39 (10), 9899-9908, 2012 | 270 | 2012 |
A case-based approach to spam filtering that can track concept drift P Cunningham, N Nowlan, SJ Delany, M Haahr The ICCBR 3, 03-2003, 2003 | 187 | 2003 |
An analysis of case-base editing in a spam filtering system SJ Delany, P Cunningham European Conference on Case-Based Reasoning, 128-141, 2004 | 120 | 2004 |
An assessment of case-based reasoning for spam filtering SJ Delany, P Cunningham, L Coyle Artificial Intelligence Review 24 (3), 359-378, 2005 | 112 | 2005 |
Generating estimates of classification confidence for a case-based spam filter SJ Delany, P Cunningham, D Doyle, A Zamolotskikh Case-Based Reasoning Research and Development: 6th International Conference …, 2005 | 107 | 2005 |
k-Nearest neighbour classifiers: (with Python examples) P Cunningham, SJ Delany arXiv preprint arXiv:2004.04523, 2020 | 98 | 2020 |
Drift detection using uncertainty distribution divergence P Lindstrom, B Mac Namee, SJ Delany Evolving Systems 4, 13-25, 2013 | 81 | 2013 |
Handling concept drift in a text data stream constrained by high labelling cost P Lindstrom, SJ Delany, B Mac Namee Twenty-Third International FLAIRS Conference, 2010 | 80 | 2010 |
Noise reduction for instance-based learning with a local maximal margin approach N Segata, E Blanzieri, SJ Delany, P Cunningham Journal of Intelligent Information Systems 35, 301-331, 2010 | 77 | 2010 |
Modeling mental workload via rule-based expert system: a comparison with NASA-TLX and workload profile L Rizzo, P Dondio, SJ Delany, L Longo Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 …, 2016 | 65 | 2016 |
Off to a good start: Using clustering to select the initial training set in active learning R Hu, B Mac Namee, SJ Delany Twenty-Third International FLAIRS Conference, 2010 | 64 | 2010 |
An assessment of case base reasoning for short text message classification M Healy, SJ Delany, A Zamolotskikh Technological University Dublin, 2004 | 60 | 2004 |
Active learning for text classification with reusability R Hu, B Mac Namee, SJ Delany Expert systems with applications 45, 438-449, 2016 | 59 | 2016 |
Using semi-supervised classifiers for credit scoring K Kennedy, BM Namee, SJ Delany Journal of the Operational Research Society 64 (4), 513-529, 2013 | 57 | 2013 |
Using crowdsourcing for labelling emotional speech assets A Tarasov, SJ Delany, C Cullen Technological University Dublin, 2010 | 56 | 2010 |
A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. SJ Delany, P Cunningham, A Tsymbal FLAIRS, 340-345, 2006 | 53 | 2006 |
A window of opportunity: Assessing behavioural scoring K Kennedy, B Mac Namee, SJ Delany, M O’Sullivan, N Watson Expert Systems with Applications 40 (4), 1372-1380, 2013 | 50 | 2013 |