| Monthly rainfall forecasting using one-dimensional deep convolutional neural network A Haidar, B Verma Ieee Access 6, 69053-69063, 2018 | 118 | 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 | 51 | 2017 |
| Autonomous deep feature extraction based method for epileptic EEG brain seizure classification M Woodbright, B Verma, A Haidar Neurocomputing 444, 30-37, 2021 | 41 | 2021 |
| 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 | 41 | 2018 |
| A novel approach for optimizing climate features and network parameters in rainfall forecasting A Haidar, B Verma Soft Computing 22 (24), 8119-8130, 2018 | 29 | 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 | 19 | 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 | 15 | 2016 |
| 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 | 10 | 2023 |
| 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 | 9 | 2020 |
| 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 | 8 | 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 | 7 | 2019 |
| 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 | 6 | 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 | 6 | 2018 |
| 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 | 4 | 2019 |
| 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 | 3 | 2023 |
| Integration of deep and ensemble learning for detecting covid-19 in computed tomography images A Haidar, L Holloway | 3 | 2020 |
| Monthly rainfall categorization based on optimized features and neural network A Haidar, B Verma AI 2017: Advances in Artificial Intelligence: 30th Australasian Joint …, 2017 | 3 | 2017 |
| Learning based fusion in ensembles for weather forecasting A Haidar, B Verma 2017 13th International Conference on Natural Computation, Fuzzy Systems and …, 2017 | 2 | 2017 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
Professor Brijesh VermaGriffith University, AustraliaVerified email at griffith.edu.au
