| Alleviating naive Bayes attribute independence assumption by attribute weighting NA Zaidi, J Cerquides, MJ Carman, GI Webb The Journal of Machine Learning Research 14 (1), 1947-1988, 2013 | 132 | 2013 |
| Scalable learning of Bayesian network classifiers AM Martínez, GI Webb, S Chen, NA Zaidi The Journal of Machine Learning Research 17 (1), 1515-1549, 2016 | 30 | 2016 |
| Proximity forest: an effective and scalable distance-based classifier for time series B Lucas, A Shifaz, C Pelletier, L O’Neill, N Zaidi, B Goethals, F Petitjean, ... Data Mining and Knowledge Discovery 33 (3), 607-635, 2019 | 17 | 2019 |
| Local adaptive SVM for object recognition NA Zaidi, DMG Squire 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 17 | 2010 |
| Efficient parameter learning of Bayesian network classifiers NA Zaidi, GI Webb, MJ Carman, F Petitjean, W Buntine, M Hynes, ... Machine Learning 106 (9-10), 1289-1329, 2017 | 13 | 2017 |
| : accelerated higher-order logistic regression FP Nayyar A. Zaidi, Geoffrey I. Webb, Mark J. Carman Machine Learning 104 (2), 151–194, 2016 | 13 | 2016 |
| Naive-Bayes inspired effective pre-conditioner for speeding-up logistic regression NA Zaidi, MJ Carman, J Cerquides, GI Webb 2014 IEEE International Conference on Data Mining, 1097-1102, 2014 | 12 | 2014 |
| Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes F Petitjean, W Buntine, GI Webb, N Zaidi Machine Learning 107 (8-10), 1303-1331, 2018 | 9 | 2018 |
| Deep broad learning-Big models for Big data NA Zaidi, GI Webb, MJ Carman, F Petitjean arXiv preprint arXiv:1509.01346, 2015 | 8 | 2015 |
| A gradient-based metric learning algorithm for k-nn classifiers NA Zaidi, DMG Squire, D Suter Australasian Joint Conference on Artificial Intelligence, 194-203, 2010 | 8 | 2010 |
| Fast and effective single pass Bayesian learning NA Zaidi, GI Webb Pacific-Asia Conference on Knowledge Discovery and Data Mining, 149-160, 2013 | 7 | 2013 |
| Highly scalable attribute selection for averaged one-dependence estimators S Chen, AM Martinez, GI Webb Pacific-Asia Conference on Knowledge Discovery and Data Mining, 86-97, 2014 | 6 | 2014 |
| Database normalization as a by-product of minimum message length inference DL Dowe, NA Zaidi Australasian Joint Conference on Artificial Intelligence, 82-91, 2010 | 6 | 2010 |
| SVMs and data dependent distance metric N Zaidi, D Squire 2010 25th International Conference of Image and Vision Computing New Zealand …, 2010 | 6 | 2010 |
| BoostML: An adaptive metric learning for nearest neighbor classification NA Zaidi, DMG Squire, D Suter Pacific-Asia Conference on Knowledge Discovery and Data Mining, 142-149, 2010 | 5 | 2010 |
| Preconditioning an artificial neural network using naive bayes NA Zaidi, F Petitjean, GI Webb Pacific-Asia Conference on Knowledge Discovery and Data Mining, 341-353, 2016 | 4 | 2016 |
| Confidence rated boosting algorithm for generic object detection NA Zaidi, D Suter 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 4 | 2008 |
| On the effectiveness of discretizing quantitative attributes in linear classifiers NA Zaidi, Y Du, GI Webb arXiv preprint arXiv:1701.07114, 2017 | 3 | 2017 |
| Object detection using a cascade of classifiers NA Zaidi, D Suter 2008 Digital Image Computing: Techniques and Applications, 600-605, 2008 | 3 | 2008 |
| Artificial neural network: deep or broad? An empirical study N Liu, NA Zaidi Australasian joint conference on artificial intelligence, 535-541, 2016 | 2 | 2016 |
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
