| A review of uncertainty quantification in deep learning: Techniques, applications and challenges M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ... Information Fusion, 2021 | 1667 | 2021 |
| A review of generalized zero-shot learning methods F Pourpanah, M Abdar, Y Luo, X Zhou, R Wang, CP Lim, XZ Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4051-4070, 2022 | 233 | 2022 |
| Recent advances in deep learning X Wang, Y Zhao, F Pourpanah International Journal of Machine Learning and Cybernetics 11, 747-750, 2020 | 226 | 2020 |
| Intuitionistic fuzzy twin support vector machines S Rezvani, X Wang, F Pourpanah IEEE Transactions on Fuzzy Systems 27 (11), 2140-2151, 2019 | 113 | 2019 |
| Design, Implementation and Evaluation of a Neural Network Based Quadcopter UAV System F Jiang, F Pourpanah, Q Hao IEEE Transactions on Industrial Electronics 67 (3), 2076-2085, 2020 | 102 | 2020 |
| Feature selection based on brain storm optimization for data classification F Pourpanah, Y Shi, CP Lim, Q Hao, CJ Tan Applied Soft Computing 80, 761-775, 2019 | 80 | 2019 |
| A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction F Pourpanah, CP Lim, JM Saleh Expert Systems with Applications 49, 74-85, 2016 | 76 | 2016 |
| A Hybrid Model of Fuzzy Min-Max and Brain Storm Optimization for Feature Selection and Data Classification F Pourpanah, CP Lim, X Wang, CJ Tan, M Seera, Y Shi Neurocomputing, 2019 | 59 | 2019 |
| A review of artificial fish swarm algorithms: Recent advances and applications F Pourpanah, R Wang, CP Lim, XZ Wang, D Yazdani Artificial Intelligence Review 56, 1867–1903, 2023 | 55 | 2023 |
| Feature selection based on improved binary global harmony search for data classification J Gholami, F Pourpanah, X Wang Applied Soft Computing 93, 106402, 2020 | 50 | 2020 |
| Anomaly Detection and Condition Monitoring of UAV Motors and Propellers F Pourpanah, B Zhang, R Ma, Q Hao 2018 IEEE Sensors, 1-4, 2018 | 48 | 2018 |
| A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications X Zhou, H Liu, F Pourpanah, T Zeng, X Wang Neurocomputing, 2022 | 47 | 2022 |
| A Q-learning-based multi-agent system for data classification F Pourpanah, CJ Tan, CP Lim, J Mohamad-Saleh Applied Soft Computing 52, 519-531, 2017 | 40 | 2017 |
| Dual VAEGAN: A generative model for generalized zero-shot learning Y Luo, X Wang, F Pourpanah Applied Soft Computing 107, 107352, 2021 | 34 | 2021 |
| An ANN-based ensemble model for change point estimation in control charts A Yeganeh, F Pourpanah, A Shadman Applied Soft Computing 110, 107604, 2021 | 28 | 2021 |
| A reinforced fuzzy artmap model for data classification F Pourpanah, CP Lim, Q Hao International Journal of Machine Learning and Cybernetics 10 (7), 1643–1655, 2019 | 26 | 2019 |
| An improved fuzzy ARTMAP and Q-learning agent model for pattern classification F Pourpanah, R Wang, CP Lim, X Wang, M Seera, CJ Tan Neurocomputing 359, 139-152, 2019 | 24 | 2019 |
| Non-intrusive human motion recognition using distributed sparse sensors and the genetic algorithm based neural network F Pourpanah, B Zhang, R Ma, Q Hao 2018 IEEE Sensors, 1-4, 2018 | 21 | 2018 |
| An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring A Yeganeh, SA Abbasi, F Pourpanah, A Shadman, A Johannssen, ... Expert Systems with Applications 204, 117572, 2022 | 15 | 2022 |
| Fuzzy measure with regularization for gene selection and cancer prediction JF Wang, ZY He, SH Huang, H Chen, WZ Wang, F Pourpanah International Journal of Machine Learning and Cybernetics 12 (8), 2389–2405, 2021 | 12 | 2021 |
CP LimProfessor, Deakin UniversityVerified email at deakin.edu.au
