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Maryam Taghizadeh

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2020 – today

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2024
[j5]
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Maryam Taghizadeh, Abdolah Chalechale:
A deep learning-based and adaptive region proposal algorithm for semantic segmentation. Appl. Soft Comput. 155: 111410 (2024)
2023
[j4]
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Maryam Taghizadeh, Abdolah Chalechale, Ali Jannesari:
A region proposal algorithm using texture similarity and perceptual grouping. J. Ambient Intell. Humaniz. Comput. 14(1): 271-288 (2023)
2022
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Maryam Taghizadeh, Abdolah Chalechale:
A comprehensive and systematic review on classical and deep learning based region proposal algorithms. Expert Syst. Appl. 189: 116105 (2022)
[j2]
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Habib Adabi Ardakani, Maryam Taghizadeh, Farzaneh Shayegh:
Diagnosis of Autism Disorder Based on Deep Network Trained by Augmented EEG Signals. Int. J. Neural Syst. 32(11): 2250046:1-2250046:16 (2022)
2021
[j1]
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Maryam Taghizadeh, Abdolah Chalechale:
A class-independent flexible algorithm to generate region proposals. Multim. Tools Appl. 80(16): 24697-24717 (2021)
2020
[i1]
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  - journals/corr/abs-2005-13178
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Pegah Salehi, Abdolah Chalechale, Maryam Taghizadeh:
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments. CoRR abs/2005.13178 (2020)

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