default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFarhad Pourpanah
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j27]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)- [j26]Farhad Pourpanah, Ali Etemad:
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey. ACM Trans. Comput. Heal. 5(4): 19:1-19:43 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-02 19:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
