| 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 | 52 | 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 | 43 | 2018 |
| A non-iterative radial basis function based quick convolutional neural network T Sinha, B Verma 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 7 | 2020 |
| 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 |
| Fast Convolutional Neural Network with iterative and non-iterative learning T Sinha, B Verma Applied Soft Computing 125, 109197, 2022 | 3 | 2022 |
| Auto-Associative Features with Non-Iterative Learning based Technique for Image Classification T Sinha, B Verma 2021 International Joint Conference on Neural Networks (IJCNN), 1-6, 2021 | 3 | 2021 |
| A novel method based on convolutional features with non-iterative learning for brain tumor classification T Sinha, B Verma 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2799-2805, 2020 | 3 | 2020 |
| Convolutional Neural Network Architecture with Exact Solution T Sinha, B Verma Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 2 | 2020 |
| Convolutional Ensemble Network for Image Classification T Sinha, B Verma 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 285-292, 2022 | | 2022 |
| Declaration of Authorship and Originality T Sinha | | 2018 |
| Analysis and optimisation of network parameters in deep learning based neural networks T Sinha CQUniversity, 2018 | | 2018 |
Professor Brijesh VermaGriffith University, Australia在 griffith.edu.au 的电子邮件经过验证
Professor Brijesh VermaGriffith University, Australia在 griffith.edu.au 的电子邮件经过验证
Ali HaidarData Scientist | Adjunct Fellow at UNSW在 unsw.edu.au 的电子邮件经过验证