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ORCIDAli Haidar 0002
Person information
- affiliation: Central Queensland University, School of Engineering and Technology, Center for Intelligent Systems, Australia
Other persons with the same name
- Ali Haidar — disambiguation page
- Ali M. Haidar 0001
![[0000-0001-8065-3658]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8065-3658")
(aka: Ali Massoud Haidar 0001, Ali Haidar 0001) — Beirut Arab University, Department of Electrical and Computer Engineering, Lebanon
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2020 – today
- 2024
[i2]Ali Haidar, Daniel Al Mouiee, Farhannah Aly, David I. Thwaites, Lois Holloway:
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data. CoRR abs/2402.08999 (2024)- 2021
- [j5]Mitchell D. Woodbright, Brijesh K. Verma, Ali Haidar:
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification. Neurocomputing 444: 30-37 (2021) - [j4]Ali Haidar, Matthew Field, Jonathan Sykes, Martin Carolan, Lois Holloway:
PSPSO: A package for parameters selection using particle swarm optimization. SoftwareX 15: 100706 (2021) - 2020
- [i1]Xiaoshui Huang, Fujin Zhu, Lois Holloway, Ali Haidar:
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning. CoRR abs/2006.05554 (2020)
2010 – 2019
- 2019
- [j3]Ali Haidar, Brijesh K. Verma, Rim Haidar:
A Swarm based Optimization of the XGBoost Parameters. Aust. J. Intell. Inf. Process. Syst. 16(4): 74-81 (2019) - [c8]Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma:
Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. CEC 2019: 1299-1305 - 2018
- [j2]Ali Haidar, Brijesh K. Verma:
Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network. IEEE Access 6: 69053-69063 (2018) - [j1]Ali Haidar, Brijesh K. Verma:
A novel approach for optimizing climate features and network parameters in rainfall forecasting. Soft Comput. 22(24): 8119-8130 (2018) - [c7]Ali Haidar, Brijesh K. Verma, Toshi Sinha:
A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction. CEC 2018: 1-8 - [c6]Toshi Sinha, Ali Haidar, Brijesh K. Verma:
Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters. CEC 2018: 1-6 - 2017
- [c5]Ali Haidar, Brijesh K. Verma:
Monthly Rainfall Categorization Based on Optimized Features and Neural Network. Australasian Conference on Artificial Intelligence 2017: 208-220 - [c4]Ali Haidar, Brijesh K. Verma:
A hybrid genetic algorithm for climate input features and neural network parameters selection. GECCO (Companion) 2017: 281-282 - [c3]Ali Haidar, Brijesh K. Verma:
Learning based fusion in ensembles for weather forecasting. ICNC-FSKD 2017: 72-78 - [c2]Toshi Sinha, Brijesh K. Verma, Ali Haidar:
Optimization of convolutional neural network parameters for image classification. SSCI 2017: 1-7 - 2016
- [c1]Ali Haidar, Brijesh K. Verma:
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas. SSCI 2016: 1-8
Coauthor Index
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