Ali Haidar
Ali Haidar
Data Scientist | Adjunct Fellow at UNSW
Verified email at - Homepage
Cited by
Cited by
Monthly rainfall forecasting using one-dimensional deep convolutional neural network
A Haidar, B Verma
Ieee Access 6, 69053-69063, 2018
Optimization of convolutional neural network parameters for image classification
T Sinha, B Verma, A Haidar
2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017
Particle swarm optimization based approach for finding optimal values of convolutional neural network parameters
T Sinha, A Haidar, B Verma
2018 IEEE congress on evolutionary computation (CEC), 1-6, 2018
Autonomous deep feature extraction based method for epileptic EEG brain seizure classification
M Woodbright, B Verma, A Haidar
Neurocomputing 444, 30-37, 2021
A novel approach for optimizing climate features and network parameters in rainfall forecasting
A Haidar, B Verma
Soft Computing 22, 8119-8130, 2018
PSPSO: A package for parameters selection using particle swarm optimization
A Haidar, M Field, J Sykes, M Carolan, L Holloway
SoftwareX 15, 100706, 2021
A genetic algorithm based feature selection approach for rainfall forecasting in sugarcane areas
A Haidar, B Verma
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
Causal discovery from incomplete data using an encoder and reinforcement learning
X Huang, F Zhu, L Holloway, A Haidar
arXiv preprint arXiv:2006.05554, 2020
Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation
RN Finnegan, V Chin, P Chlap, A Haidar, J Otton, J Dowling, DI Thwaites, ...
Physical and Engineering Sciences in Medicine 46 (1), 377-393, 2023
Standardising Breast Radiotherapy Structure Naming Conventions: A Machine Learning Approach
A Haidar, M Field, V Batumalai, K Cloak, D Al Mouiee, P Chlap, X Huang, ...
Cancers 15 (3), 564, 2023
A novel approach for optimizing ensemble components in rainfall prediction
A Haidar, B Verma, T Sinha
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy
V Chin, RN Finnegan, P Chlap, J Otton, A Haidar, L Holloway, ...
Clinical Oncology 35 (6), 370-381, 2023
A Swarm based Optimization of the XGBoost Parameters.
A Haidar, BK Verma, R Haidar
Aust. J. Intell. Inf. Process. Syst. 16 (4), 74-81, 2019
Evolving one-dimensional deep convolutional neural network: a swarm based approach
A Haidar, ZM Jan, B Verma
2019 IEEE congress on evolutionary computation (CEC), 1299-1305, 2019
PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS
A Haidar, F Aly, L Holloway
Software 1 (2), 215-222, 2022
Integration of deep and ensemble learning for detecting covid-19 in computed tomography images
A Haidar, L Holloway
Monthly rainfall categorization based on optimized features and neural network
A Haidar, B Verma
AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint …, 2017
Learning based fusion in ensembles for weather forecasting
A Haidar, B Verma
2017 13th International Conference on Natural Computation, Fuzzy Systems and …, 2017
Outcome prediction models incorporating clinical variables for Head and Neck Squamous cell Carcinoma: A systematic review of methodological conduct and risk of bias
F Aly, CR Hansen, D Al Mouiee, P Sundaresan, A Haidar, S Vinod, ...
Radiotherapy and Oncology, 2023
OC-0756 Development and implementation of a hybrid method for automatic cardiac substructure segmentation
R Finnegan, V Chin, P Chlap, A Haidar, J Otton, J Dowling, D Thwaites, ...
Radiotherapy and Oncology 170, S670-S672, 2022
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