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ORCIDNayyar Abbas Zaidi
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2020 – today
- 2024
[j16]Akib Mashrur
, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust visual question answering via semantic cross modal augmentation. Comput. Vis. Image Underst. 238: 103862 (2024)- [j15]Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li:
Improving neural network's robustness on tabular data with D-layers. Data Min. Knowl. Discov. 38(1): 173-205 (2024) - [j14]Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Tao Wang, Gang Li:
Effective interpretable learning for large-scale categorical data. Data Min. Knowl. Discov. 38(4): 2223-2251 (2024) - [j13]Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Adaptive population-based simulated annealing for resource constrained job scheduling with uncertainty. Int. J. Prod. Res. 62(17): 6227-6250 (2024) - [j12]Shu Li, Nayyar Abbas Zaidi, Meijie Du, Zhou Zhou, Hongfei Zhang, Gang Li:
Property graph representation learning for node classification. Knowl. Inf. Syst. 66(1): 237-265 (2024) - [c23]Ziwei Hou, Bahadorreza Ofoghi, Nayyar Zaidi, John Yearwood:
Aspect-Based Fake News Detection. PAKDD (6) 2024: 95-107 - [i8]Christine Dewi, Dhananjay R. Thiruvady, Nayyar Zaidi:
Fruit Classification System with Deep Learning and Neural Architecture Search. CoRR abs/2406.01869 (2024) - 2023
- [j11]Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li:
Interpretable tabular data generation. Knowl. Inf. Syst. 65(7): 2935-2963 (2023) - [j10]Arash Shabanpour, Ziwei Hou, Muhammad Akbar Husnoo, Khanh Linh Nguyen, John Yearwood, Nayyar Abbas Zaidi:
Aspect-based automated evaluation of dialogues. Knowl. Based Syst. 279: 110901 (2023) - [c22]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. DICTA 2023: 478-485 - [c21]Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine:
MEG: Masked Ensemble Tabular Data Generator. ICDM 2023: 838-847 - [c20]Yuhang Liu, Yi Zhang, Yang Cao, Ye Zhu, Nayyar Zaidi, Chathu Ranaweera, Gang Li, Qingyi Zhu:
Kernel-Based Feature Extraction for Time Series Clustering. KSEM (1) 2023: 276-283 - [c19]Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li:
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. PAKDD (1) 2023: 147-158 - 2022
- [j9]Dhananjay R. Thiruvady, Su Nguyen, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Surrogate-assisted population based ACO for resource constrained job scheduling with uncertainty. Swarm Evol. Comput. 69: 101029 (2022) - [c18]Jing Miao, Wei Luo, Nayyar Abbas Zaidi, Jinlong Wang:
Novel-domain Object Segmentation via Reliability-aware Teacher Ensemble. HPCC/DSS/SmartCity/DependSys 2022: 761-768 - [c17]Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Gang Li:
Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data. PAKDD (2) 2022: 367-379 - [c16]Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li:
GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks. SDM 2022: 298-306 - [i7]Dhananjay R. Thiruvady, Su Nguyen, Yuan Sun, Fatemeh Shiri, Nayyar Zaidi, Xiaodong Li:
Adaptive Population-based Simulated Annealing for Uncertain Resource Constrained Job Scheduling. CoRR abs/2210.17036 (2022) - 2021
- [c15]Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li:
GANBLR: A Tabular Data Generation Model. ICDM 2021: 181-190 - [c14]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust Neural Regression via Uncertainty Learning. IJCNN 2021: 1-6 - [c13]Shu Li, Nayyar Abbas Zaidi, Qingyun Liu, Gang Li:
Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network. PAKDD (1) 2021: 434-446 - [i6]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust Neural Regression via Uncertainty Learning. CoRR abs/2110.06395 (2021) - 2020
- [j8]Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb:
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. IEEE Access 8: 198856-198871 (2020) - [j7]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Machine Learning for Financial Risk Management: A Survey. IEEE Access 8: 203203-203223 (2020)
2010 – 2019
- 2019
- [j6]Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: an effective and scalable distance-based classifier for time series. Data Min. Knowl. Discov. 33(3): 607-635 (2019) - 2018
- [j5]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. 107(8-10): 1303-1331 (2018) - [c12]Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb:
Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities. SDM 2018: 459-467 - [i5]Nayyar Abbas Zaidi, Geoffrey I. Webb, François Petitjean, Germain Forestier:
On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error. CoRR abs/1801.09354 (2018) - [i4]Benjamin Lucas, Ahmed Shifaz, Charlotte Pelletier, Lachlan O'Neill, Nayyar Abbas Zaidi, Bart Goethals, François Petitjean, Geoffrey I. Webb:
Proximity Forest: An effective and scalable distance-based classifier for time series. CoRR abs/1808.10594 (2018) - 2017
- [j4]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck:
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106(9-10): 1289-1329 (2017) - [c11]Nayyar Abbas Zaidi, Geoffrey I. Webb:
A Fast Trust-Region Newton Method for Softmax Logistic Regression. SDM 2017: 705-713 - [i3]Nayyar Abbas Zaidi, Yang Du, Geoffrey I. Webb:
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers. CoRR abs/1701.07114 (2017) - [i2]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR abs/1708.07581 (2017) - 2016
- [j3]Ana M. Martínez, Geoffrey I. Webb, Shenglei Chen, Nayyar Abbas Zaidi:
Scalable Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. 17: 44:1-44:35 (2016) - [j2]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides:
ALRn: accelerated higher-order logistic regression. Mach. Learn. 104(2-3): 151-194 (2016) - [c10]Nian Liu, Nayyar Abbas Zaidi:
Artificial Neural Network: Deep or Broad? An Empirical Study. Australasian Conference on Artificial Intelligence 2016: 535-541 - [c9]Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb:
Preconditioning an Artificial Neural Network Using Naive Bayes. PAKDD (1) 2016: 341-353 - 2015
- [i1]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean:
Deep Broad Learning - Big Models for Big Data. CoRR abs/1509.01346 (2015) - 2014
- [c8]Nayyar Abbas Zaidi, Mark James Carman, Jesús Cerquides, Geoffrey I. Webb:
Naive-Bayes Inspired Effective Pre-Conditioner for Speeding-Up Logistic Regression. ICDM 2014: 1097-1102 - 2013
- [j1]Nayyar Abbas Zaidi, Jesús Cerquides, Mark James Carman, Geoffrey I. Webb:
Alleviating naive Bayes attribute independence assumption by attribute weighting. J. Mach. Learn. Res. 14(1): 1947-1988 (2013) - [c7]Nayyar Abbas Zaidi, Geoffrey I. Webb:
Fast and Effective Single Pass Bayesian Learning. PAKDD (1) 2013: 149-160 - 2010
- [c6]David L. Dowe, Nayyar Abbas Zaidi:
Database Normalization as a By-product of Minimum Message Length Inference. Australasian Conference on Artificial Intelligence 2010: 82-91 - [c5]Nayyar Abbas Zaidi, David McG. Squire, David Suter:
A Gradient-Based Metric Learning Algorithm for k-NN Classifiers. Australasian Conference on Artificial Intelligence 2010: 194-203 - [c4]Nayyar Abbas Zaidi, David McG. Squire:
Local Adaptive SVM for Object Recognition. DICTA 2010: 196-201 - [c3]Nayyar Abbas Zaidi, David McG. Squire, David Suter:
BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification. PAKDD (1) 2010: 142-149
2000 – 2009
- 2008
- [c2]Nayyar Abbas Zaidi, David Suter:
Object Detection Using a Cascade of Classifiers. DICTA 2008: 600-605 - [c1]Nayyar Abbas Zaidi, David Suter:
Confidence rated boosting algorithm for generic object detection. ICPR 2008: 1-4
Coauthor Index
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