Nayyar Abbas Zaidi
Orcid: 0000000340242517
According to our database^{1},
Nayyar Abbas Zaidi
authored at least 43 papers
between 2008 and 2024.
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Bibliography
2024
Data Min. Knowl. Discov., July, 2024
Knowl. Inf. Syst., January, 2024
Data Min. Knowl. Discov., January, 2024
Comput. Vis. Image Underst., January, 2024
Adaptive populationbased simulated annealing for resource constrained job scheduling with uncertainty.
Int. J. Prod. Res., 2024
CoRR, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
2023
Knowl. Based Syst., November, 2023
Knowl. Inf. Syst., July, 2023
Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the Knowledge Science, Engineering and Management, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Surrogateassisted population based ACO for resource constrained job scheduling with uncertainty.
Swarm Evol. Comput., 2022
Adaptive Populationbased Simulated Annealing for Uncertain Resource Constrained Job Scheduling.
CoRR, 2022
GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
On the Effectiveness of Discretizing Quantitative Attributes in Linear Classifiers.
IEEE Access, 2020
IEEE Access, 2020
2019
Proximity Forest: an effective and scalable distancebased classifier for time series.
Data Min. Knowl. Discov., 2019
2018
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes.
Mach. Learn., 2018
On the Interrelationships among Drift rate, Forgetting rate, Bias/variance profile and Error.
CoRR, 2018
Efficient and Effective Accelerated Hierarchical HigherOrder Logistic Regression for Large Data Quantities.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
2017
Mach. Learn., 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
2016
Mach. Learn., 2016
J. Mach. Learn. Res., 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
2015
CoRR, 2015
2014
NaiveBayes Inspired Effective PreConditioner for SpeedingUp Logistic Regression.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
2013
J. Mach. Learn. Res., 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008