| When is "nearest neighbour" meaningful: A converse theorem and implications RJ Durrant, A Kabán Journal of Complexity 25 (4), 385-397, 2009 | 94 | 2009 |
| Random projections as regularizers: Learning a linear discriminant from fewer observations than dimensions R Durrant, A Kabán Machine Learning 99 (2015), 257–286, 2014 | 81* | 2014 |
| Towards Large Scale Continuous EDA: A Random Matrix Theory Perspective A Kabán, J Bootkrajang, RJ Durrant Evolutionary Computation 24 (2), 255-291, 2016 | 77 | 2016 |
| Compressed fisher linear discriminant analysis: classification of randomly projected data RJ Durrant, A Kabán Proceedings 16th ACM SIGKDD international conference on Knowledge discovery …, 2010 | 63 | 2010 |
| Sharp Generalization Error Bounds for Randomly-projected Classifiers RJ Durrant, A Kaban Proceedings 30th International Conference on Machine Learning, Atlanta …, 2013 | 38 | 2013 |
| Learning with L q< 1 vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features A Kabán, R Durrant Proceedings European Conference on Machine Learning and Knowledge Discovery …, 2008 | 15 | 2008 |
| A tight bound on the performance of Fisher’s linear discriminant in randomly projected data spaces RJ Durrant, A Kabán Pattern Recognition Letters 33 (7), 911-919, 2011 | 13 | 2011 |
| Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space RJ Durrant, A Kabán Proceedings 15th International Conference on Artificial Intelligence and …, 2012 | 11 | 2012 |
| Rapid molecular diagnosis of the Mycobacterium tuberculosis Rangipo strain responsible for the largest recurring TB cluster in New Zealand CV Mulholland, A Ruthe, RT Cursons, R Durrant, N Karalus, K Coley, ... Diagnostic Microbiology and Infectious Disease 88 (2), 138-140, 2017 | 10 | 2017 |
| Linear dimensionality reduction in linear time: Johnson-lindenstrauss-type guarantees for random subspace N Lim, RJ Durrant arXiv preprint arXiv:1705.06408, 2017 | 7 | 2017 |
| Dimension-Adaptive Bounds on Compressive FLD Classification A Kabán, RJ Durrant Proceedings 24th International Conference on Algorithmic Learning Theory …, 2013 | 7 | 2013 |
| Learning from evolving data streams through ensembles of random patches HM Gomes, J Read, A Bifet, RJ Durrant Knowledge and Information Systems 63 (7), 1597-1625, 2021 | 6 | 2021 |
| How effective is Cauchy-EDA in high dimensions? ML Sanyang, RJ Durrant, A Kabán Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2016), 2016 | 6 | 2016 |
| Learning in high dimensions with projected linear discriminants RJ Durrant University of Birmingham, 2013 | 6 | 2013 |
| Random projections for machine learning and data mining: Theory and applications RJ Durrant, A Kabán ECML PKDD 4, 2012 | 5 | 2012 |
| Structure from randomness in halfspace learning with the zero-one loss A Kabán, RJ Durrant Journal of Artificial Intelligence Research 69, 733-764, 2020 | 4* | 2020 |
| A Diversity-aware Model for Majority Vote Ensemble Accuracy NJS Lim, RJ Durrant 23rd International Conference on Artificial Intelligence and Statistics, 2020 | 4 | 2020 |
| Maximum margin principal components X Luo, RJ Durrant arXiv preprint arXiv:1705.06371, 2017 | 3 | 2017 |
| A bound on the performance of LDA in randomly projected data spaces RJ Durrant, A Kabán Proceedings 20th International Conference on Pattern Recognition (ICPR 2010 …, 2010 | 3 | 2010 |
| Flip Probabilities for Random Projections of θ-separated Vectors RJ Durrant, A Kabán School of Computer Science Technical Reports, 2010 | 3 | 2010 |
Ata KabanUniversity of Birmingham, School of Computer ScienceVerified email at bham.ac.uk
