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Jafar Tahmoresnezhad
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2020 – today
- 2024
- [j20]Samaneh Rezaei, Mahya Ahmadvand, Jafar Tahmoresnezhad:
Visual transductive learning via iterative label correction. Multim. Syst. 30(3): 145 (2024) - [j19]Sheida Saleki, Jafar Tahmoresnezhad:
Agry: a comprehensive framework for plant diseases classification via pretrained EfficientNet and convolutional neural networks for precision agriculture. Multim. Tools Appl. 83(24): 64813-64851 (2024) - 2023
- [j18]Mozhdeh Zandifar, Samaneh Rezaei, Jafar Tahmoresnezhad:
Unsupervised domain adaptation via transferred local Fisher discriminant analysis. Iran J. Comput. Sci. 6(4): 345-364 (2023) - [j17]Naimeh Alipour, Jafar Tahmoresnezhad:
Cross-domain pattern classification with heterogeneous distribution adaptation. Int. J. Mach. Learn. Cybern. 14(2): 495-511 (2023) - [i1]Mohammad Khodadadi, Jafar Tahmoresnezhad:
HyMo: Vulnerability Detection in Smart Contracts using a Novel Multi-Modal Hybrid Model. CoRR abs/2304.13103 (2023) - 2022
- [j16]Naimeh Alipour, Jafar Tahmoresnezhad:
Heterogeneous domain adaptation with statistical distribution alignment and progressive pseudo label selection. Appl. Intell. 52(7): 8038-8055 (2022) - [j15]Shiva Noori Saray, Jafar Tahmoresnezhad:
Iterative joint classifier and domain adaptation for visual transfer learning. Int. J. Mach. Learn. Cybern. 13(4): 947-961 (2022) - 2021
- [j14]Mahya Ahmadvand, Jafar Tahmoresnezhad:
Metric transfer learning via geometric knowledge embedding. Appl. Intell. 51(2): 921-934 (2021) - [j13]Mozhdeh Zandifar, Jafar Tahmoresnezhad:
Locality Fisher discriminant analysis for conditional domain adaption. Iran J. Comput. Sci. 4(1): 17-34 (2021) - [j12]Mehri Mardani, Jafar Tahmoresnezhad:
Cross- and multiple-domains visual transfer learning via iterative Fischer linear discriminant analysis. Knowl. Inf. Syst. 63(8): 2157-2188 (2021) - [j11]Samaneh Rezaei, Jafar Tahmoresnezhad, Vahid Solouk:
A transductive transfer learning approach for image classification. Int. J. Mach. Learn. Cybern. 12(3): 747-762 (2021) - [j10]Shiva Noori Saray, Jafar Tahmoresnezhad:
Joint distinct subspace learning and unsupervised transfer classification for visual domain adaptation. Signal Image Video Process. 15(2): 279-287 (2021) - 2020
- [j9]Elahe Gholenji, Jafar Tahmoresnezhad:
Joint discriminative subspace and distribution adaptation for unsupervised domain adaptation. Appl. Intell. 50(7): 2050-2066 (2020) - [j8]Morvarid Karimpour, Shiva Noori Saray, Jafar Tahmoresnezhad, Mohammad Pourmahmood Aghababa:
Multi-source domain adaptation for image classification. Mach. Vis. Appl. 31(6): 44 (2020) - [j7]Elahe Gholenji, Jafar Tahmoresnezhad:
Joint local and statistical discriminant learning via feature alignment. Signal Image Video Process. 14(3): 609-616 (2020)
2010 – 2019
- 2019
- [j6]Samaneh Rezaei, Jafar Tahmoresnezhad:
Discriminative and domain invariant subspace alignment for visual tasks. Iran J. Comput. Sci. 2(4): 219-230 (2019) - 2018
- [j5]Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh:
Domain invariant feature extraction against evasion attack. Int. J. Mach. Learn. Cybern. 9(12): 2093-2104 (2018) - 2017
- [j4]Jafar Tahmoresnezhad, Sattar Hashemi:
Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains. Turkish J. Electr. Eng. Comput. Sci. 25: 292-307 (2017) - [j3]Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh:
Using domain adaptation in adversarial environment. Int. J. Data Min. Model. Manag. 9(3): 201-219 (2017) - [j2]Jafar Tahmoresnezhad, Sattar Hashemi:
Visual domain adaptation via transfer feature learning. Knowl. Inf. Syst. 50(2): 585-605 (2017) - 2016
- [j1]Jafar Tahmoresnezhad, Sattar Hashemi:
An Efficient yet Effective Random Partitioning and Feature Weighting Approach for Transfer Learning. Int. J. Pattern Recognit. Artif. Intell. 30(2): 1651003:1-1651003:23 (2016)
Coauthor Index
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