A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction. - Farhad Pourpanah; Chee Peng Lim; Junita Mohamad-Saleh (Expert Syst. Appl., 2016)

A Q-learning-based multi-agent system for data classification. - Farhad Pourpanah; Choo Jun Tan; Chee Peng Lim; Junita Mohamad-Saleh (Appl. Soft Comput., 2017)

Anomaly Detection and Condition Monitoring of UAV Motors and Propellers. - Farhad Pourpanah; Bin Zhang; Rui Ma; Qi Hao (IEEE SENSORS, 2018)

Non-Intrusive Human Motion Recognition Using Distributed Sparse Sensors and the Genetic Algorithm Based Neural Network. - Farhad Pourpanah; Bin Zhang; Rui Ma; Qi Hao (IEEE SENSORS, 2018)

Feature Selection for Data Classification based on Binary Brain Storm Optimization. - Farhad Pourpanah; Ran Wang 001; Xizhao Wang (CCIS, 2019)

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. - Farhad Pourpanah; Ran Wang 001; Xizhao Wang; Yuhui Shi 001; Danial Yazdani (SSCI, 2019)

Feature selection based on brain storm optimization for data classification. - Farhad Pourpanah; Yuhui Shi 001; Chee Peng Lim; Qi Hao; Choo Jun Tan (Appl. Soft Comput., 2019)

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. - Farhad Pourpanah; Chee Peng Lim; Xizhao Wang; Choo Jun Tan; Manjeevan Seera; Yuhui Shi 001 (Neurocomputing, 2019)

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Xizhao Wang; Manjeevan Seera; Choo Jun Tan (Neurocomputing, 2019)

A reinforced fuzzy ARTMAP model for data classification. - Farhad Pourpanah; Chee Peng Lim; Qi Hao (Int. J. Mach. Learn. Cybern., 2019)

Intuitionistic Fuzzy Twin Support Vector Machines. - Salim Rezvani; Xizhao Wang; Farhad Pourpanah (IEEE Trans. Fuzzy Syst., 2019)

Feature selection based on improved binary global harmony search for data classification. - Jafar Gholami; Farhad Pourpanah; Xizhao Wang (Appl. Soft Comput., 2020)

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Danial Yazdani (CoRR, 2020)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang (CoRR, 2020)

Recent advances in deep learning. - Xizhao Wang; Yanxia Zhao; Farhad Pourpanah (Int. J. Mach. Learn. Cybern., 2020)

Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System. - Fan Jiang; Farhad Pourpanah; Qi Hao (IEEE Trans. Ind. Electron., 2020)

Dual VAEGAN: A generative model for generalized zero-shot learning. - Yuxuan Luo; Xizhao Wang; Farhad Pourpanah (Appl. Soft Comput., 2021)

A semisupervised learning model based on fuzzy min-max neural networks for data classification. - Farhad Pourpanah; Di Wang; Ran Wang 001; Chee Peng Lim (Appl. Soft Comput., 2021)

An ANN-based ensemble model for change point estimation in control charts. - Ali Yeganeh; Farhad Pourpanah; Alireza Shadman (Appl. Soft Comput., 2021)

A review of uncertainty quantification in deep learning: Techniques, applications and challenges. - Moloud Abdar; Farhad Pourpanah; Sadiq Hussain; Dana Rezazadegan; Li Liu 002; Mohammad Ghavamzadeh; Paul W. Fieguth; Xiaochun Cao; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Inf. Fusion, 2021)

Fuzzy measure with regularization for gene selection and cancer prediction. - Jinfeng Wang 003; Zhenyu He 009; ShuaiHui Huang; Hao Chen; Wenzhong Wang; Farhad Pourpanah (Int. J. Mach. Learn. Cybern., 2021)

A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces. - Jiaolv Wu; Q. M. Jonathan Wu; Shuyue Chen; Farhad Pourpanah; Detian Huang (IEEE Access, 2022)

An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring. - Ali Yeganeh; Saddam Akbar Abbasi; Farhad Pourpanah; Alireza Shadman; Arne Johannssen; Nataliya Chukhrova (Expert Syst. Appl., 2022)

A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. - Xinlei Zhou; Han Liu 002; Farhad Pourpanah; Tieyong Zeng; Xizhao Wang (Neurocomputing, 2022)

Cross-graph reference structure based pruning and edge context information for graph matching. - Md Shakil Ahamed Shohag; Xiuyang Zhao; Q. M. Jonathan Wu; Farhad Pourpanah (Inf. Sci., 2022)

A Review of Deep Learning for Video Captioning. - Moloud Abdar; Meenakshi Kollati; Swaraja Kuraparthi; Farhad Pourpanah; Daniel McDuff; Mohammad Ghavamzadeh; Shuicheng Yan; Abduallah Mohamed; Abbas Khosravi; Erik Cambria; Fatih Porikli (CoRR, 2023)

A review of artificial fish swarm algorithms: recent advances and applications. - Farhad Pourpanah; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang; Danial Yazdani (Artif. Intell. Rev., 2023)

A Review of Generalized Zero-Shot Learning Methods. - Farhad Pourpanah; Moloud Abdar; Yuxuan Luo; Xinlei Zhou; Ran Wang 001; Chee Peng Lim; Xi-Zhao Wang; Q. M. Jonathan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Employing machine learning techniques in monitoring autocorrelated profiles. - Ali Yeganeh; Arne Johannssen; Nataliya Chukhrova; Saddam Akber Abbasi; Farhad Pourpanah (Neural Comput. Appl., 2023)

DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data. - Jiayuan Wang; Q. M. Jonathan Wu; Farhad Pourpanah (Comput. Medical Imaging Graph., 2023)

An attentive-based generative model for medical image synthesis. - Jiayuan Wang; Q. M. Jonathan Wu; Farhad Pourpanah (Int. J. Mach. Learn. Cybern., 2023)

EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer. - Ali Abedi 010; Q. M. Jonathan Wu; Ning Zhang 007; Farhad Pourpanah (CoRR, 2024)

Self-supervised adversarial adaptation network for breast cancer detection. - Mahnoosh Torabi; Amir Hosein Rasouli; Q. M. Jonathan Wu; Weipeng Cao; Farhad Pourpanah (Eng. Appl. Artif. Intell., 2024)

An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. - Farhad Pourpanah; Chee Peng Lim; Ali Etemad; Q. M. Jonathan Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. - Farhad Pourpanah; Ali Etemad (ACM Trans. Comput. Heal., 2024)

Methods for class-imbalanced learning with support vector machines: a review and an empirical evaluation. - Salim Rezvani; Farhad Pourpanah; Chee Peng Lim; Q. M. Jonathan Wu (Soft Comput., 2024)

Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. - Farhad Pourpanah; Mahdiyar Molahasani; Milad Soltany; Michael A. Greenspan; Ali Etemad (AAAI, 2025)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training. - Milad Soltany; Farhad Pourpanah; Mahdiyar Molahasani; Michael A. Greenspan; Ali Etemad (ICASSP, 2025)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling. - Ali Abedi 010; Q. M. Jonathan Wu; Yanning Zhang 001; Farhad Pourpanah (CoRR, 2025)

Few-Shot Inspired Generative Zero-Shot Learning. - Md Shakil Ahamed Shohag; Q. M. Jonathan Wu; Farhad Pourpanah (CoRR, 2025)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles. - Jiayuan Wang; Farhad Pourpanah; Q. M. Jonathan Wu; Ning Zhang 007 (CoRR, 2025)