Farhad Pourpanah

51 papers A* 1Misc 1Journal 45Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement. Eng. Appl. Artif. Intell. Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah
2025	J	`jnl`	A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles. CoRR Jiayuan Wang, Farhad Pourpanah, Q. M. Jonathan Wu, Ning Zhang
2025	Misc	`conf`	Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training. ICASSP Milad Soltany, Farhad Pourpanah, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad
2025	A*	`conf`	Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients. AAAI Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad
2025	J	`jnl`	Few-Shot Inspired Generative Zero-Shot Learning. CoRR Md Shakil Ahamed Shohag, Q. M. Jonathan Wu, Farhad Pourpanah
2025	J	`jnl`	One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling. CoRR Ali Abedi, Q. M. Jonathan Wu, Yanning Zhang, Farhad Pourpanah
2024	J	`jnl`	An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu
2024	J	`jnl`	EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer. CoRR Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah
2024	J	`jnl`	Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. ACM Trans. Comput. Heal. Farhad Pourpanah, Ali Etemad
2024	J	`jnl`	Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training. CoRR Milad Soltany, Farhad Pourpanah, Mahdiyar Molahasani, Michael A. Greenspan, Ali Etemad
2024	J	`jnl`	Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients. CoRR Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad
2024	J	`jnl`	Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. CoRR Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu
2024	J	`jnl`	Methods for class-imbalanced learning with support vector machines: a review and an empirical evaluation. Soft Comput. Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu
2024	J	`jnl`	Self-supervised adversarial adaptation network for breast cancer detection. Eng. Appl. Artif. Intell. Mahnoosh Torabi, Amir Hosein Rasouli, Q. M. Jonathan Wu, Weipeng Cao, Farhad Pourpanah
2023	J	`jnl`	A Review of Deep Learning for Video Captioning. CoRR Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli
2023	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
2023	J	`jnl`	A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani
2023	J	`jnl`	An Attentive-based Generative Model for Medical Image Synthesis. CoRR Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
2023	J	`jnl`	An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu
2023	J	`jnl`	An attentive-based generative model for medical image synthesis. Int. J. Mach. Learn. Cybern. Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
2023	J	`jnl`	DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data. Comput. Medical Imaging Graph. Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
2023	J	`jnl`	Employing machine learning techniques in monitoring autocorrelated profiles. Neural Comput. Appl. Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Saddam Akber Abbasi, Farhad Pourpanah
2023	J	`jnl`	Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. CoRR Farhad Pourpanah, Ali Etemad
2022	J	`jnl`	A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2022	J	`jnl`	A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces. IEEE Access Jiaolv Wu, Q. M. Jonathan Wu, Shuyue Chen, Farhad Pourpanah, Detian Huang
2022	J	`jnl`	An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring. Expert Syst. Appl. Ali Yeganeh, Saddam Akbar Abbasi, Farhad Pourpanah, Alireza Shadman, Arne Johannssen, Nataliya Chukhrova
2022	J	`jnl`	Cross-graph reference structure based pruning and edge context information for graph matching. Inf. Sci. Md Shakil Ahamed Shohag, Xiuyang Zhao, Q. M. Jonathan Wu, Farhad Pourpanah
2022	J	`jnl`	DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data. CoRR Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
2021	J	`jnl`	A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2021	J	`jnl`	A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2021	J	`jnl`	A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim
2021	J	`jnl`	An ANN-based ensemble model for change point estimation in control charts. Appl. Soft Comput. Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
2021	J	`jnl`	Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. Yuxuan Luo, Xizhao Wang, Farhad Pourpanah
2021	J	`jnl`	Fuzzy measure with regularization for gene selection and cancer prediction. Int. J. Mach. Learn. Cybern. Jinfeng Wang, Zhenyu He, Shuaihui Huang, Hao Chen, Wenzhong Wang, Farhad Pourpanah
2020	J	`jnl`	A Review of Generalized Zero-Shot Learning Methods. CoRR Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
2020	J	`jnl`	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2020	J	`jnl`	A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani
2020	J	`jnl`	Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System. IEEE Trans. Ind. Electron. Fan Jiang, Farhad Pourpanah, Qi Hao
2020	J	`jnl`	Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. Jafar Gholami, Farhad Pourpanah, Xizhao Wang
2020	J	`jnl`	Recent advances in deep learning. Int. J. Mach. Learn. Cybern. Xizhao Wang, Yanxia Zhao, Farhad Pourpanah
2019	J	`jnl`	A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi
2019	J	`jnl`	A reinforced fuzzy ARTMAP model for data classification. Int. J. Mach. Learn. Cybern. Farhad Pourpanah, Chee Peng Lim, Qi Hao
2019	J	`jnl`	An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan
2019	—	`conf`	Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS Farhad Pourpanah, Ran Wang, Xizhao Wang
2019	J	`jnl`	Feature selection based on brain storm optimization for data classification. Appl. Soft Comput. Farhad Pourpanah, Yuhui Shi, Chee Peng Lim, Qi Hao, Choo Jun Tan
2019	J	`jnl`	Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. Salim Rezvani, Xizhao Wang, Farhad Pourpanah
2019	—	`conf`	mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
2018	—	`conf`	Anomaly Detection and Condition Monitoring of UAV Motors and Propellers. IEEE SENSORS Farhad Pourpanah, Bin Zhang, Rui Ma, Qi Hao
2018	—	`conf`	Non-Intrusive Human Motion Recognition Using Distributed Sparse Sensors and the Genetic Algorithm Based Neural Network. IEEE SENSORS Farhad Pourpanah, Bin Zhang, Rui Ma, Qi Hao
2017	J	`jnl`	A Q-learning-based multi-agent system for data classification. Appl. Soft Comput. Farhad Pourpanah, Choo Jun Tan, Chee Peng Lim, Junita Mohamad-Saleh
2016	J	`jnl`	A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction. Expert Syst. Appl. Farhad Pourpanah, Chee Peng Lim, Junita Mohamad-Saleh