| Alleviating naive Bayes attribute independence assumption by attribute weighting NA Zaidi, J Cerquides, MJ Carman, GI Webb Journal of Machine Learning Research 14 (Jul), 1947-1988, 2013 | 245 | 2013 |
| 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 | 185 | 2019 |
| Machine learning for financial risk management: a survey A Mashrur, W Luo, NA Zaidi, A Robles-Kelly Ieee Access 8, 203203-203223, 2020 | 93 | 2020 |
| Scalable learning of Bayesian network classifiers AM Martınez, GI Webb, S Chen, NA Zaidi Journal of Machine Learning Research 17 (44), 1-35, 2016 | 70 | 2016 |
| 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 | 38 | 2017 |
| Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes F Petitjean, W Buntine, GI Webb, N Zaidi Machine Learning 107 (8), 1303-1331, 2018 | 26 | 2018 |
| 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 | 23 | 2014 |
| GANBLR: a tabular data generation model Y Zhang, NA Zaidi, J Zhou, G Li 2021 IEEE International Conference on Data Mining (ICDM), 181-190, 2021 | 22 | 2021 |
| : accelerated higher-order logistic regression FP Nayyar A. Zaidi, Geoffrey I. Webb, Mark J. Carman Machine Learning 104 (2), 151–194, 2016 | 20* | 2016 |
| On the effectiveness of discretizing quantitative attributes in linear classifiers NA Zaidi, Y Du, GI Webb IEEE Access 8, 198856-198871, 2020 | 19 | 2020 |
| Local adaptive SVM for object recognition NA Zaidi, DMG Squire 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 19 | 2010 |
| Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty D Thiruvady, S Nguyen, F Shiri, N Zaidi, X Li Swarm and Evolutionary Computation 69, 101029, 2022 | 15 | 2022 |
| Fast and effective single pass Bayesian learning NA Zaidi, GI Webb Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia …, 2013 | 14 | 2013 |
| On the use of Machine Learning methods in rock art research with application to automatic painted rock art identification A Jalandoni, Y Zhang, NA Zaidi Journal of Archaeological Science 144, 105629, 2022 | 13 | 2022 |
| Deep broad learning-Big models for Big data NA Zaidi, GI Webb, MJ Carman, F Petitjean arXiv preprint arXiv:1509.01346, 2015 | 11 | 2015 |
| Database normalization as a by-product of minimum message length inference DL Dowe, NA Zaidi AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint …, 2011 | 10 | 2011 |
| 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 | 10 | 2010 |
| Neighbours and kinsmen: Hateful users detection with graph neural network S Li, NA Zaidi, Q Liu, G Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 434-446, 2021 | 7 | 2021 |
| Svms and data dependent distance metric N Zaidi, D Squire 2010 25th International Conference of Image and Vision Computing New Zealand …, 2010 | 7 | 2010 |
| Interpretable tabular data generation Y Zhang, N Zaidi, J Zhou, G Li Knowledge and Information Systems 65 (7), 2935-2963, 2023 | 6 | 2023 |
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash University在 monash.edu 的电子邮件经过验证
