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Farhad Pourpanah
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2020 – today
- 2024
- [j26]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: 108489 (2024) - [j25]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): 814-827 (2024) - [i12]Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany, Michael A. Greenspan, Ali Etemad:
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients. CoRR abs/2405.16304 (2024) - [i11]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 abs/2406.03398 (2024) - [i10]Ali Abedi, Q. M. Jonathan Wu, Ning Zhang, Farhad Pourpanah:
EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer. CoRR abs/2407.21311 (2024) - 2023
- [j24]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): 1867-1903 (2023) - [j23]Jiayuan Wang
, Q. M. Jonathan Wu, Farhad Pourpanah:
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data. Comput. Medical Imaging Graph. 108: 102249 (2023) - [j22]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
An attentive-based generative model for medical image synthesis. Int. J. Mach. Learn. Cybern. 14(11): 3897-3910 (2023) - [j21]Ali Yeganeh
, Arne Johannssen
, Nataliya Chukhrova
, Saddam Akber Abbasi
, Farhad Pourpanah
:
Employing machine learning techniques in monitoring autocorrelated profiles. Neural Comput. Appl. 35(22): 16321-16340 (2023) - [j20]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): 4051-4070 (2023) - [i9]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 abs/2304.11431 (2023) - [i8]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 abs/2305.14373 (2023) - [i7]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
An Attentive-based Generative Model for Medical Image Synthesis. CoRR abs/2306.01562 (2023) - [i6]Farhad Pourpanah, Ali Etemad:
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. CoRR abs/2306.12660 (2023) - 2022
- [j19]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: 128077-128089 (2022) - [j18]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: 117572 (2022) - [j17]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: 449-465 (2022) - [j16]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: 1-15 (2022) - [i5]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data. CoRR abs/2211.01293 (2022) - 2021
- [j15]Yuxuan Luo, Xizhao Wang
, Farhad Pourpanah
:
Dual VAEGAN: A generative model for generalized zero-shot learning. Appl. Soft Comput. 107: 107352 (2021) - [j14]Ali Yeganeh
, Farhad Pourpanah
, Alireza Shadman
:
An ANN-based ensemble model for change point estimation in control charts. Appl. Soft Comput. 110: 107604 (2021) - [j13]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: 107856 (2021) - [j12]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: 243-297 (2021) - [j11]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): 2389-2405 (2021) - [i4]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR abs/2111.01968 (2021) - 2020
- [j10]Jafar Gholami
, Farhad Pourpanah
, Xizhao Wang
:
Feature selection based on improved binary global harmony search for data classification. Appl. Soft Comput. 93: 106402 (2020) - [j9]Xizhao Wang, Yanxia Zhao, Farhad Pourpanah
:
Recent advances in deep learning. Int. J. Mach. Learn. Cybern. 11(4): 747-750 (2020) - [j8]Fan Jiang
, Farhad Pourpanah
, Qi Hao
:
Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System. IEEE Trans. Ind. Electron. 67(3): 2076-2085 (2020) - [i3]Farhad Pourpanah, Ran Wang, Chee Peng Lim, Danial Yazdani:
A Review of the Family of Artificial Fish Swarm Algorithms: Recent Advances and Applications. CoRR abs/2011.05700 (2020) - [i2]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 abs/2011.06225 (2020) - [i1]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 abs/2011.08641 (2020)
2010 – 2019
- 2019
- [j7]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: 761-775 (2019) - [j6]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: 440-451 (2019) - [j5]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: 139-152 (2019) - [j4]Farhad Pourpanah
, Chee Peng Lim, Qi Hao
:
A reinforced fuzzy ARTMAP model for data classification. Int. J. Mach. Learn. Cybern. 10(7): 1643-1655 (2019) - [j3]Salim Rezvani
, Xizhao Wang
, Farhad Pourpanah
:
Intuitionistic Fuzzy Twin Support Vector Machines. IEEE Trans. Fuzzy Syst. 27(11): 2140-2151 (2019) - [c4]Farhad Pourpanah
, Ran Wang
, Xizhao Wang:
Feature Selection for Data Classification based on Binary Brain Storm Optimization. CCIS 2019: 108-113 - [c3]Farhad Pourpanah
, Ran Wang, Xizhao Wang, Yuhui Shi, Danial Yazdani
:
mBSO: A Multi-Population Brain Storm Optimization for Multimodal Dynamic Optimization Problems. SSCI 2019: 673-679 - 2018
- [c2]Farhad Pourpanah
, Bin Zhang, Rui Ma
, Qi Hao
:
Anomaly Detection and Condition Monitoring of UAV Motors and Propellers. IEEE SENSORS 2018: 1-4 - [c1]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: 1-4 - 2017
- [j2]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: 519-531 (2017) - 2016
- [j1]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: 74-85 (2016)
Coauthor Index
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last updated on 2024-08-22 20:52 CEST by the dblp team
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