Farhad Pourpanah

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Topics

Dynamic Optimization

Recent Advances

Cancer Detection

Top Venues

Appl. Soft Comput.

Int. J. Mach. Learn. Cybern.

Publications

Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer. CoRR (2024)
Mahnoosh Torabi, Amir Hosein Rasouli, Q. M. Jonathan Wu, Weipeng Cao, Farhad Pourpanah
Self-supervised adversarial adaptation network for breast cancer detection. Eng. Appl. Artif. Intell. 133 (2024)
Salim Rezvani, Farhad Pourpanah, Chee Peng Lim, Q. M. Jonathan Wu
Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation. CoRR (2024)
Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu
An Ensemble Semi-Supervised Adaptive Resonance Theory Model With Explanation Capability for Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients. CoRR (2024)
Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data. Comput. Medical Imaging Graph. 108 (2023)
Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
An Attentive-based Generative Model for Medical Image Synthesis. CoRR (2023)
Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
An attentive-based generative model for medical image synthesis. Int. J. Mach. Learn. Cybern. 14 (11) (2023)
Farhad Pourpanah, Ali Etemad
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. CoRR (2023)
Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Saddam Akber Abbasi, Farhad Pourpanah
Employing machine learning techniques in monitoring autocorrelated profiles. Neural Comput. Appl. 35 (22) (2023)
Farhad Pourpanah, Chee Peng Lim, Ali Etemad, Q. M. Jonathan Wu
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification. CoRR (2023)
Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli
A Review of Deep Learning for Video Captioning. CoRR (2023)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani
A review of artificial fish swarm algorithms: recent advances and applications. Artif. Intell. Rev. 56 (3) (2023)
Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data. CoRR (2022)
Ali Yeganeh, Saddam Akbar Abbasi, Farhad Pourpanah, Alireza Shadman, Arne Johannssen, Nataliya Chukhrova
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring. Expert Syst. Appl. 204 (2022)
Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing 489 (2022)
Md Shakil Ahamed Shohag, Xiuyang Zhao, Q. M. Jonathan Wu, Farhad Pourpanah
Cross-graph reference structure based pruning and edge context information for graph matching. Inf. Sci. 616 (2022)
Jiaolv Wu, Q. M. Jonathan Wu, Shuyue Chen, Farhad Pourpanah, Detian Huang
A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces. IEEE Access 10 (2022)
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
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76 (2021)
Ali Yeganeh, Farhad Pourpanah, Alireza Shadman
An ANN-based ensemble model for change point estimation in control charts. Appl. Soft Comput. 110 (2021)
Yuxuan Luo, Xizhao Wang, Farhad Pourpanah
Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. 107 (2021)
Jinfeng Wang, Zhenyu He, ShuaiHui Huang, Hao Chen, Wenzhong Wang, Farhad Pourpanah
Fuzzy measure with regularization for gene selection and cancer prediction. Int. J. Mach. Learn. Cybern. 12 (8) (2021)
Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim
A semisupervised learning model based on fuzzy min-max neural networks for data classification. Appl. Soft Comput. 112 (2021)
Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR (2021)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR (2020)
Jafar Gholami, Farhad Pourpanah, Xizhao Wang
Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. 93 (2020)
Fan Jiang, Farhad Pourpanah, Qi Hao
Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System. IEEE Trans. Ind. Electron. 67 (3) (2020)
Xizhao Wang, Yanxia Zhao, Farhad Pourpanah
Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang
A Review of Generalized Zero-Shot Learning Methods. CoRR (2020)
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
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR (2020)
Farhad Pourpanah, Chee Peng Lim, Xizhao Wang, Choo Jun Tan, Manjeevan Seera, Yuhui Shi
A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification. Neurocomputing 333 (2019)
Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan
An improved fuzzy ARTMAP and Q-learning agent model for pattern classification. Neurocomputing 359 (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI (2019)
Farhad Pourpanah, Yuhui Shi, Chee Peng Lim, Qi Hao, Choo Jun Tan
Feature selection based on brain storm optimization for data classification. Appl. Soft Comput. 80 (2019)
Farhad Pourpanah, Chee Peng Lim, Qi Hao
A reinforced fuzzy ARTMAP model for data classification. Int. J. Mach. Learn. Cybern. 10 (7) (2019)
Salim Rezvani, Xizhao Wang, Farhad Pourpanah
Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. 27 (11) (2019)
Farhad Pourpanah, Ran Wang, Xizhao Wang
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS (2019)
Farhad Pourpanah, Bin Zhang, Rui Ma, Qi Hao
Non-Intrusive Human Motion Recognition Using Distributed Sparse Sensors and the Genetic Algorithm Based Neural Network. IEEE SENSORS (2018)
Farhad Pourpanah, Bin Zhang, Rui Ma, Qi Hao
Anomaly Detection and Condition Monitoring of UAV Motors and Propellers. IEEE SENSORS (2018)
Farhad Pourpanah, Choo Jun Tan, Chee Peng Lim, Junita Mohamad-Saleh
A Q-learning-based multi-agent system for data classification. Appl. Soft Comput. 52 (2017)
Farhad Pourpanah, Chee Peng Lim, Junita Mohamad-Saleh
A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction. Expert Syst. Appl. 49 (2016)