The state-of-the-art in text-based automatic personality prediction. - Ali-Reza Feizi-Derakhshi; Mohammad-Reza Feizi-Derakhshi; Majid Ramezani; Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Taymaz Akan; Mehrdad Ranjbar-Khadivi; Elnaz Zafarni-Moattar; Zoleikha Jahanbakhsh-Nagadeh (CoRR, 2021)

Battle royale optimizer with a new movement strategy. - Sara Akan; Taymaz Akan (CoRR, 2022)

Battle royale optimizer for training multi-layer perceptron. - Saeid Agahian; Taymaz Akan (Evol. Syst., 2022)

Automatic personality prediction: an enhanced method using ensemble modeling. - Majid Ramezani; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar; Meysam Asgari-Chenaghlu; Ali-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Mehrdad Ranjbar-Khadivi; Zoleikha Jahanbakhsh-Nagadeh; Elnaz Zafarani-Moattar; Taymaz Akan (Neural Comput. Appl., 2022)

Battle Royale Optimizer for solving binary optimization problems. - Taymaz Akan; Saeid Agahian; Rahim Dehkharghani (Softw. Impacts, 2022)

Text-based automatic personality prediction: a bibliographic review. - Ali-Reza Feizi-Derakhshi; Mohammad-Reza Feizi-Derakhshi; Majid Ramezani; Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Taymaz Akan; Mehrdad Ranjbar-Khadivi; Elnaz Zafarni-Moattar; Zoleikha Jahanbakhsh-Nagadeh (J. Comput. Soc. Sci., 2022)

A model to measure the spread power of rumors. - Zoleikha Jahanbakhsh-Nagadeh; Mohammad-Reza Feizi-Derakhshi; Majid Ramezani; Taymaz Akan; Meysam Asgari-Chenaghlu; Narjes Nikzad-Khasmakhi; Ali-Reza Feizi-Derakhshi; Mehrdad Ranjbar-Khadivi; Elnaz Zafarani-Moattar; Mohammad Ali Balafar (J. Ambient Intell. Humaniz. Comput., 2023)

A multimodal butterfly optimization using fitness-distance balance. - Mohanna Orujpour; Mohammad-Reza Feizi-Derakhshi; Taymaz Akan (Soft Comput., 2023)

Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI. - Taymaz Akan; Sait Alp; Mohammad A. N. Bhuiyan (CoRR, 2024)

ECGformer: Leveraging transformer for ECG heartbeat arrhythmia classification. - Taymaz Akan; Sait Alp; Mohammad Alfrad Nobel Bhuiyan (CoRR, 2024)

Battle royale optimizer for multilevel image thresholding. - Taymaz Akan; Diego Oliva; Ali-Reza Feizi-Derakhshi; Amir-Reza Feizi-Derakhshi; Marco Pérez-Cisneros; Mohammad Alfrad Nobel Bhuiyan (J. Supercomput., 2024)

MOBRO: multi-objective battle royale optimizer. - Sait Alp; Rahim Dehkharghani; Taymaz Akan; Mohammad A. N. Bhuiyan (J. Supercomput., 2024)

Multi-modal Battle Royale optimizer. - K. Dilsad Çiçek; Taymaz Akan; Oguz Bayat (Clust. Comput., 2024)

ViViEchoformer: Deep Video Regressor Predicting Ejection Fraction. - Taymaz Akan; Sait Alp; Md. Shenuarin Bhuiyan; Tarek Helmy; A. Wayne Orr; Md. Mostafizur Rahman Bhuiyan; Steven A. Conrad; John A. Vanchiere; Christopher G. Kevil; Mohammad Alfrad Nobel Bhuiyan (J. Imaging Inform. Medicine, 2025)

MRI-based Alzheimer's disease classification using Vision Transformer and time-series transformer: A step-by-step guide. - Sait Alp; Sara Akan; Taymaz Akan; Mohammad Alfrad Nobel Bhuiyan (Softw. Impacts, 2025)

Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI. - Taymaz Akan; Sait Alp; Md. Shenuarin Bhuiyan; Elizabeth A. Disbrow; Steven A. Conrad; John A. Vanchiere; Christopher G. Kevil; Mohammad A. N. Bhuiyan (CoRR, 2025)

Brain magnetic resonance image (MRI) segmentation using multimodal optimization. - Taymaz Akan; Amin Golzari Oskouei; Sait Alp; Mohammad Alfrad Nobel Bhuiyan (Multim. Tools Appl., 2025)

C-MOBRO: constrained multi-objective Battle Royale Optimization algorithm. - Sait Alp; Rahim Dehkharghani; Taymaz Akan (Clust. Comput., 2025)