Publications
Interpretable tabular data generation
Y Zhang, N Zaidi, J Zhou, G Li
(2023), Knowledge and Information Systems, C1
Surrogate-assisted Population Based ACO for Resource Constrained Job Scheduling with Uncertainty
Dhananjay Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li
(2022), pp. 1-16, Swarm and Evolutionary Computation, Amsterdam, The Netherlands, C1
A Jalandoni, Y Zhang, N Zaidi
(2022), Vol. 144, pp. 105629-105629, Journal of Archaeological Science, C1
Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data
Jiahui Zhou, Nayyar Zaidi, Yishuo Zhang, Gang Li
(2022), Vol. LNAI 13281, pp. 367-379, PAKDD 2022 : Pacific Asia Conference : Proceedings of Advances in Knowledge Discovery and Data Mining 2022 conference, Chengdu, China, E1
Y Zhang, N Zaidi, J Zhou, G Li
(2022), pp. 298-306, SIAM 2022 : Proceedings of SIAM Data Mining 2022 Conference, Virtual, E1
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
Robust Neural Regression via Uncertainty Learning
A Mashrur, W Luo, N Zaidi, A Robles-Kelly
(2021), pp. 1-6, IJCNN 2021 : Proceedings of the 2021 International Joint Conference on Neural Networks, Shenzhen, China, E1
GANBLR: A Tabular Data Generation Model
Y Zhang, N Zaidi, J Zhou, G Li
(2021), pp. 916-925, ICDM 2021 : Proceedings of the 2021 IEEE International Conference on Data Mining, Auckland, New Zealand, E1
Machine learning for financial risk management: A survey
A Mashrur, W Luo, N Zaidi, A Robles-Kelly
(2020), Vol. 8, pp. 203203-203223, IEEE Access, C1
On the effectiveness of discretizing quantitative attributes in linear classifiers
N Zaidi, Y Du, G Webb
(2020), Vol. 8, pp. 198856-198871, IEEE Access, C1
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, G Webb
(2019), Vol. 33, pp. 607-635, Data Mining and Knowledge Discovery, C1-1
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
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
Efficient parameter learning of Bayesian network classifiers
N Zaidi, G Webb, M Carman, F Petitjean, W Buntine, M Hynes, H De Sterck
(2017), Vol. 106, pp. 1289-1329, Machine Learning, C1-1
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
ALR n: accelerated higher-order logistic regression
N Zaidi, G Webb, M Carman, F Petitjean, J Cerquides
(2016), Vol. 104, pp. 151-194, Machine Learning, Riva del Garda, ITALY, C1-1
Scalable learning of Bayesian network classifiers
A Martínez, G Webb, S Chen, N Zaidi
(2016), Vol. 17, Journal of Machine Learning Research, C1-1
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
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
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
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
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
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
SVMs and data dependent distance metric
N Zaidi, D Squire
(2010), International Conference Image and Vision Computing New Zealand, E1-1
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), Univ S Australia, Adelaide, AUSTRALIA, E1-1
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), Hyderabad, INDIA, E1-1
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), Univ S Australia, Adelaide, AUSTRALIA, E1-1
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
Confidence rated boosting algorithm for generic object detection
N Zaidi, D Suter
(2008), pp. 3221-3224, Proceedings - International Conference on Pattern Recognition, FL, Tampa, E1-1
Funded Projects at Deakin
Other Public Sector Funding
Discretization Inspired Defence Methods for Adversarial Attacks on Cyber Security Domain Data.
Dr Nayyar Zaidi
Department of Defence
- 2022: $30,000
Other Funding Sources
The Application of Artificial Intelligence for Satellite Enterprise Management.
Prof Jinho Choi, Dr Nayyar Zaidi, Dr Jihong Park
Cooperative Research Centres (CRC) Projects Program, Department of Industry, Innovation and Science.
- 2022: $25,000
- 2021: $75,000
Augmenting Cyber Defence Capability (ACDC).
Prof Gang Li, Mr Luxing Yang, Dr Nayyar Zaidi, Dr Ye Zhu, Prof Rajesh Vasa, Prof Kon Mouzakis, Prof Robin Ram Mohan Doss, Dr Thanh Thi Nguyen
Cyber Security Research Centre Limited
- 2023: $39,000
- 2022: $39,000
Supervisions
Shu Li
Thesis entitled: Detection and Prevention of Harmful Information Propagation in Cyberspace
Doctor of Philosophy (Information Technology), School of Information Technology
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