Ali Haidar

Orcid: 0000-0001-5092-949X

Affiliations:
  • Central Queensland University, School of Engineering and Technology, Center for Intelligent Systems, Australia


According to our database1, Ali Haidar authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Exploring Federated Deep Learning for Standardising Naming Conventions in Radiotherapy Data.
CoRR, 2024

2021
PSPSO: A package for parameters selection using particle swarm optimization.
SoftwareX, 2021

Autonomous deep feature extraction based method for epileptic EEG brain seizure classification.
Neurocomputing, 2021

2020
Causal Discovery from Incomplete Data using An Encoder and Reinforcement Learning.
CoRR, 2020

2019
A Swarm based Optimization of the XGBoost Parameters.
Aust. J. Intell. Inf. Process. Syst., 2019

Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A novel approach for optimizing climate features and network parameters in rainfall forecasting.
Soft Comput., 2018

Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network.
IEEE Access, 2018

Particle Swarm Optimization Based Approach for Finding Optimal Values of Convolutional Neural Network Parameters.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Novel Approach for Optimizing Ensemble Components in Rainfall Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Optimization of convolutional neural network parameters for image classification.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Learning based fusion in ensembles for weather forecasting.
Proceedings of the 13th International Conference on Natural Computation, 2017

A hybrid genetic algorithm for climate input features and neural network parameters selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Monthly Rainfall Categorization Based on Optimized Features and Neural Network.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016


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