Dr Nayyar Zaidi

STAFF PROFILE

Position

Senior Lecturer, Computer Science

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Melbourne Burwood Campus

Contact

nayyar.zaidi@deakin.edu.au
+61 3 924 45963

Publications

Filter by

2021

Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network

Shu Li, Nayyar Zaidi, Qingyun Liu, Gang Li

(2021), Vol. 12712, pp. 434-446, PAKDD 2021 : Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Virtual Event, E1

conference
2020

Machine learning for financial risk management: A survey

Akib Mashrur, Wei Luo, Nayyar Zaidi, Antonio Robles-Kelly

(2020), Vol. 8, pp. 203203-203223, IEEE Access, Piscataway, N.J., C1

journal article

On the effectiveness of discretizing quantitative attributes in linear classifiers

Nayyar Zaidi, Yang Du, Geoffrey Webb

(2020), Vol. 8, pp. 198856-198871, IEEE Access, Piscataway, N. J., C1

journal article
2019

Proximity Forest: an effective and scalable distance-based classifier for time series

Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O’Neill, Nayyar Zaidi, Bart Goethals, François Petitjean, Geoffrey Webb

(2019), Vol. 33, pp. 607-635, Data Mining and Knowledge Discovery, Berlin, Germany, C1-1

journal article
2018

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

François Petitjean, Wray Buntine, Geoffrey Webb, Nayyar Zaidi

(2018), Vol. 107, pp. 1303-1331, ECML-PKDD 2018 : Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, E1-1

conference

Efficient and effective accelerated higher-order logistic regression for large data quantities

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2018), pp. 459-467, SDM2018 : Proceedings of the 2018 SIAM International Conference on Data Mining, San Diego, California, E1-1

conference
2017

Efficient parameter learning of Bayesian network classifiers

Nayyar Zaidi, Geoffrey Webb, Mark Carman, François Petitjean, Wray Buntine, Mike Hynes, Hans De Sterck

(2017), Vol. 106, pp. 1289-1329, Machine Learning, Berlin, Germany, C1-1

journal article

A fast trust-region Newton method for softmax logistic regression

Nayyar Zaidi, Zaidi Webb

(2017), pp. 705-713, SDM 2017 : Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, E1-1

conference
2016

ALRn : accelerated higher-order logistic regression

Nayyar Zaidi, Geoffrey Webb, Mark Carman, François Petitjean, Jesús Cerquides

(2016), Vol. 104, pp. 151-194, Machine Learning, Berlin, Germany, C1-1

journal article

Scalable learning of Bayesian network classifiers

Ana Martinez, Geoff Webb, Shenglei Chen, N Zaidi

(2016), Vol. 17, pp. 1-35, Journal of machine learning research : JMLR, Cambridge, Mass., C1-1

journal article

Artificial neural network: Deep or broad? An empirical study

Nayyar Zaidi, Nian Liu

(2016), Vol. 9992, pp. 535-541, AI 2016: Advances in Artificial Intelligence 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings, Hobart, Tasmania, E1-1

conference

Preconditioning an artificial neural network using naive bayes

Nayyar Zaidi, Francois Petitjean, Geoff Webb

(2016), Vol. 9651, pp. 341-353, PAKDD 2016 : Advances in knowledge discovery and data mining : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings., Auckland, New Zealand, E1-1

conference
2014

Naive-bayes inspired effective pre-conditioner for speeding-up logistic regression

Nayyar Zaidi, Mark Carman, Jesus Cerquides, Geoffrey Webb

(2014), pp. 1097-1102, ICDM 2014 : Proceedings of the 14th IEEE International Conference on Data Mining, Shenzhen, China, E1-1

conference
2013

Alleviating naive bayes attribute independence assumption by attribute weighting

Nayyar Zaidi, Jesus Cerquides, Mark Carman, Geoff Webb

(2013), Vol. 14, pp. 1947-1988, Journal of machine learning research, Cambridge, Mass., C1-1

journal article

Fast and efficient single pass bayesian learning

Nayyar Zaidi, Geoff Webb

(2013), Vol. 7818, pp. 149-160, PAKDD 2013 : Advances in Knowledge Discovery and Data Mining : Proceedings of the 17th Pacific-Asia Conference, Gold Coast, Qld. Part 1, Gold Coast, Qld., E1-1

conference
2010

Local adaptive SVM for object recognition

N Zaidi, D Squire

(2010), pp. 196-201, Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010, E1-1

conference

SVMs and data dependent distance metric

N Zaidi, D Squire

(2010), International Conference Image and Vision Computing New Zealand, E1-1

conference

Database normalization as a by-product of minimum message length inference

D Dowe, N Zaidi

(2010), Vol. 6464 LNAI, pp. 82-91, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

BoostML: An adaptive metric learning for nearest neighbor classification

N Zaidi, D Squire, D Suter

(2010), Vol. 6118 LNAI, pp. 142-149, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference

A gradient-based metric learning algorithm for k-NN classifiers

N Zaidi, D Squire, D Suter

(2010), Vol. 6464 LNAI, pp. 194-203, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), E1-1

conference
2008

Object detection using a cascade of classifiers

N Zaidi, D Suter

(2008), pp. 600-605, Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, E1-1

conference

Confidence rated boosting algorithm for generic object detection

N Zaidi, D Suter

(2008), Proceedings - International Conference on Pattern Recognition, E1-1

conference

Funded Projects at Deakin

Other Funding Sources

The Application of Artificial Intelligence for Satellite Enterprise Management.

Prof Jinho Choi, Dr Nayyar Zaidi, Dr Jihong Park

  • 2021: $75,000

Supervisions

Associate Supervisor
2021

Muhmmad Abbas Kazim Al-Khiza'ay

Thesis entitled: Personalized Review Selection Using Micro-Reviews in Social Networks

Doctor of Philosophy (Information Technology), School of Information Technology