Farhad Pourpanah

According to our database, Farhad Pourpanah authored at least 37 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., February, 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

EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer.

Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah

CoRR, 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

CoRR, 2024

Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients.

Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad

CoRR, 2024

2023

An attentive-based generative model for medical image synthesis.

Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah

Int. J. Mach. Learn. Cybern., November, 2023

DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data.

Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah

Comput. Medical Imaging Graph., September, 2023

Employing machine learning techniques in monitoring autocorrelated profiles.

Ali Yeganeh, Arne Johannssen, Nataliya Chukhrova, Saddam Akber Abbasi, Farhad Pourpanah

Neural Comput. Appl., August, 2023

A Review of Generalized Zero-Shot Learning Methods.

Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A review of artificial fish swarm algorithms: recent advances and applications.

Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani

Artif. Intell. Rev., March, 2023

Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey.

Farhad Pourpanah, Ali Etemad

CoRR, 2023

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

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 survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications.

Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang

Neurocomputing, 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-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

2021

Fuzzy measure with regularization for gene selection and cancer prediction.

Jinfeng Wang, Zhenyu He, ShuaiHui Huang, Hao Chen, Wenzhong Wang, Farhad Pourpanah

Int. J. Mach. Learn. Cybern., 2021

A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

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

Inf. Fusion, 2021

An ANN-based ensemble model for change point estimation in control charts.

Ali Yeganeh, Farhad Pourpanah, Alireza Shadman

Appl. Soft Comput., 2021

A semisupervised learning model based on fuzzy min-max neural networks for data classification.

Farhad Pourpanah, Di Wang, Ran Wang, Chee Peng Lim

Appl. Soft Comput., 2021

Dual VAEGAN: A generative model for generalized zero-shot learning.

Yuxuan Luo, Xizhao Wang, Farhad Pourpanah

Appl. Soft Comput., 2021

2020

Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System.

Fan Jiang, Farhad Pourpanah, Qi Hao

IEEE Trans. Ind. Electron., 2020

Recent advances in deep learning.

Xizhao Wang, Yanxia Zhao, Farhad Pourpanah

Int. J. Mach. Learn. Cybern., 2020

A Review of Generalized Zero-Shot Learning Methods.

Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang

CoRR, 2020

A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications.

Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani

CoRR, 2020

Feature selection based on improved binary global harmony search for data classification.

Jafar Gholami, Farhad Pourpanah, Xizhao Wang

Appl. Soft Comput., 2020

2019

Intuitionistic Fuzzy Twin Support Vector Machines.

Salim Rezvani, Xizhao Wang, Farhad Pourpanah

IEEE Trans. Fuzzy Syst., 2019

A reinforced fuzzy ARTMAP model for data classification.

Farhad Pourpanah, Chee Peng Lim, Qi Hao

Int. J. Mach. Learn. Cybern., 2019

An improved fuzzy ARTMAP and Q-learning agent model for pattern classification.

Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xizhao Wang, Manjeevan Seera, Choo Jun Tan

Neurocomputing, 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

Neurocomputing, 2019

Feature selection based on brain storm optimization for data classification.

Farhad Pourpanah, Yuhui Shi, Chee Peng Lim, Qi Hao, Choo Jun Tan

Appl. Soft Comput., 2019

mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems.

Farhad Pourpanah, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Feature Selection for Data Classification based on Binary Brain Storm Optimization.

Farhad Pourpanah, Ran Wang, Xizhao Wang

Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

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

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

Anomaly Detection and Condition Monitoring of UAV Motors and Propellers.

Farhad Pourpanah, Bin Zhang, Rui Ma, Qi Hao

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2017

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

2016

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