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Vahid Seydi
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2020 – today
- 2024
- [j16]Pezhman Gholamnezhad, Ali Broumandnia, Vahid Seydi:
An improved model-based evolutionary algorithm for multi-objective optimization. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j15]Hossein Hajibabaei, Vahid Seydi, Abbas Koochari:
A motif-based probabilistic approach for community detection in complex networks. J. Intell. Inf. Syst. 62(5): 1285-1303 (2024) - [j14]Aydin Abedinia, Vahid Seydi:
Building semi-supervised decision trees with semi-cart algorithm. Int. J. Mach. Learn. Cybern. 15(10): 4493-4510 (2024) - [j13]Mahta HassanPour Zonoozi, Vahid Seydi, Mahmood Deypir:
Variational inference based adversarial domain adaptation. Pattern Anal. Appl. 27(4): 130 (2024) - 2023
- [j12]Hossein Hajibabaei, Vahid Seydi, Abbas Koochari:
Community detection in weighted networks using probabilistic generative model. J. Intell. Inf. Syst. 60(1): 119-136 (2023) - [j11]Mahta HassanPour Zonoozi, Vahid Seydi:
A Survey on Adversarial Domain Adaptation. Neural Process. Lett. 55(3): 2429-2469 (2023) - 2022
- [j10]Pezhman Gholamnezhad, Ali Broumandnia, Vahid Seydi:
An inverse model-based multiobjective estimation of distribution algorithm using Random-Forest variable importance methods. Comput. Intell. 38(3): 1018-1056 (2022) - [j9]Alireza Falahiazar, Arash Sharifi, Vahid Seydi:
An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems. J. Comb. Optim. 44(1): 794-849 (2022) - [j8]Chaudhary Muhammad Aqdus Ilyas, Matthias Rehm, Kamal Nasrollahi, Yeganeh Madadi, Thomas B. Moeslund, Vahid Seydi:
Deep transfer learning in human-robot interaction for cognitive and physical rehabilitation purposes. Pattern Anal. Appl. 25(3): 653-677 (2022) - [j7]Pezhman Gholamnezhad, Ali Broumandnia, Vahid Seydi:
A model-based many-objective evolutionary algorithm with multiple reference vectors. Prog. Artif. Intell. 11(3): 251-268 (2022) - [j6]Mona Solgi, Vahid Seydi:
Improving graph prototypical network using active learning. Prog. Artif. Intell. 11(4): 411-423 (2022) - [i1]Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi:
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. CoRR abs/2209.13420 (2022) - 2021
- [j5]Serveh Lotfi, Mitra Mirzarezaee, Mehdi Hosseinzadeh, Vahid Seydi:
Detection of rumor conversations in Twitter using graph convolutional networks. Appl. Intell. 51(7): 4774-4787 (2021) - [j4]Serveh Lotfi, Mitra Mirzarezaee, Mehdi Hosseinzadeh, Vahid Seydi:
Rumor conversations detection in twitter through extraction of structural features. Inf. Technol. Manag. 22(4): 265-279 (2021) - [j3]Ali Mollaahmadi Dehaqi, Vahid Seydi, Yeganeh Madadi:
Adversarial Image Caption Generator Network. SN Comput. Sci. 2(3): 182 (2021) - [c1]Yeganeh Madadi, Vahid Seydi, Jian Sun, Edward Chaum, Siamak Yousefi:
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. OMIA@MICCAI 2021: 168-178 - 2020
- [j2]Yeganeh Madadi, Vahid Seydi, Kamal Nasrollahi, Reshad Hosseini, Thomas B. Moeslund:
Deep visual unsupervised domain adaptation for classification tasks: a survey. IET Image Process. 14(14): 3283-3299 (2020)
2010 – 2019
- 2014
- [j1]Vahid Seydi Ghomsheh, Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli, Mojtaba Ahmadieh Khanesar:
Neural Networks for Normative Knowledge Source of Cultural Algorithm. Int. J. Comput. Intell. Syst. 7(5): 979-992 (2014)
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last updated on 2024-11-13 23:48 CET by the dblp team
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