Nayyar Zaidi
TitleCited byYear
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
1162013
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
262016
Local adaptive SVM for object recognition
NA Zaidi, DMG Squire
2010 International Conference on Digital Image Computing: Techniques and …, 2010
162010
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
112014
: accelerated higher-order logistic regression
FP Nayyar A. Zaidi, Geoffrey I. Webb, Mark J. Carman
Machine Learning 104 (2), 151–194, 2016
102016
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
82017
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
82010
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
72018
Deep broad learning-Big models for Big data
NA Zaidi, GI Webb, MJ Carman, F Petitjean
arXiv preprint arXiv:1509.01346, 2015
72015
Fast and effective single pass Bayesian learning
NA Zaidi, GI Webb
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 149-160, 2013
72013
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
62014
Svms and data dependent distance metric
N Zaidi, D Squire
2010 25th International Conference of Image and Vision Computing New Zealand …, 2010
62010
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
52019
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
52010
Confidence rated boosting algorithm for generic object detection
NA Zaidi, D Suter
2008 19th International Conference on Pattern Recognition, 1-4, 2008
52008
Database normalization as a by-product of minimum message length inference
DL Dowe, NA Zaidi
Australasian Joint Conference on Artificial Intelligence, 82-91, 2010
42010
On the effectiveness of discretizing quantitative attributes in linear classifiers
NA Zaidi, Y Du, GI Webb
arXiv preprint arXiv:1701.07114, 2017
32017
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
32016
Object detection using a cascade of classifiers
NA Zaidi, D Suter
2008 Digital Image Computing: Techniques and Applications, 600-605, 2008
32008
Artificial neural network: deep or broad? An empirical study
N Liu, NA Zaidi
Australasian joint conference on artificial intelligence, 535-541, 2016
22016
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Articles 1–20