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AbdolHossein Vahabie
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2020 – today
- 2025
[j9]Alieh Ahdi
, Alex Ensworth
, Bretta Russell Schulz, Erin L. MacMillan
, Maryam S. Mirian, Abdol-Hossein Vahabie, Cornelia Laule, Haakon B. Nygaard, Seyed Kamaledin Setarehdan, Martin J. McKeown
:
Assessment of 1H-MRS spectra via multiset canonical correlation analysis and empirical mode decomposition. Comput. Biol. Medicine 187: 109806 (2025)
[j8]Fatemeh Mortazavi, Abdol-Hossein Vahabie, Majid Nili Ahmadabadi, Hadi Moradi:
Unveiling Task Difficulty in a Visual Pattern Memory Task: A Comprehensive Analysis of Factors Influencing Performance. Cogn. Comput. 17(5): 139 (2025)
[j7]Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin
, Fatemeh Taherinezhad, Mohamad Javad Momeni Nezhad, Sina Rashidi, Masoud Khani
, Amirsajjad Taleban, Samin Mahdizadeh Sani, Maryam Dadkhah, James M. Noble, Suzanne Bakken, Yadollah Yaghoobzadeh, Abdol-Hossein Vahabie, Masoud Rouhizadeh, Maryam Zolnoori:
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data. Frontiers Artif. Intell. 8 (2025)
[i9]Masoud Rahimi, Reza Karbasi, Abdol-Hossein Vahabie:
An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation. CoRR abs/2506.06315 (2025)
[i8]Reza Karbasi, Masoud Rahimi, Abdol-Hossein Vahabie, Hadi Moradi:
Deep Learning-Based Digitization of Overlapping ECG Images with Open-Source Python Code. CoRR abs/2506.10617 (2025)
[i7]Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin, Fatemeh Taherinezhad, Mohamad Javad Momeni Nezhad, Sina Rashidi, Masoud Khani, Amirsajjad Taleban, Samin Mahdizadeh Sani, Maryam Dadkhah, James M. Noble, Suzanne Bakken, Yadollah Yaghoobzadeh, Abdol-Hossein Vahabie, Masoud Rouhizadeh, Maryam Zolnoori:
LLMCARE: Alzheimer's Detection via Transformer Models Enhanced by LLM-Generated Synthetic Data. CoRR abs/2508.10027 (2025)
[i6]Ali Hedayatnia, Mostafa Tavassolipour, Babak Nadjar Araabi, Abdol-Hossein Vahabie:
Robustifying Diffusion-Denoised Smoothing Against Covariate Shift. CoRR abs/2509.10913 (2025)- 2024
[j6]Sara Shahabifar, Aryan Yazdanpanah, Abdol-Hossein Vahabie
:
The effect of an embodied intervention on responsibility: put a load on one's shoulder. Cogn. Process. 25(4): 613-620 (2024)
[j5]Fatemeh Mortazavi, Hadi Moradi
, Abdol-Hossein Vahabie
:
Dynamic difficulty adjustment approaches in video games: a systematic literature review. Multim. Tools Appl. 83(35): 83227-83274 (2024)
[j4]Nastaran Jannesar
, Kaveh Akbarzadeh-Sherbaf
, Saeed Safari
, AbdolHossein Vahabie
:
SSTE: Syllable-Specific Temporal Encoding to FORCE-learn audio sequences with an associative memory approach. Neural Networks 177: 106368 (2024)- 2023
[j3]Mohsen Parsa
, Habib Yousefi Rad, Hadi Vaezi, Gholam-Ali Hossein-Zadeh, Seyed Kamaledin Setarehdan, Reza Rostami, Hana Rostami, Abdol-Hossein Vahabie
:
EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions. Comput. Methods Programs Biomed. 240: 107683 (2023)
[i5]Masoud Rahimi
, Hadi Moradi, Abdol-Hossein Vahabie
, Hamed Kebriaei:
Continuous Reinforcement Learning-based Dynamic Difficulty Adjustment in a Visual Working Memory Game. CoRR abs/2308.12726 (2023)- 2022
[i4]Shahriar Rezghi Shirsavar, AbdolHossein Vahabie
, Mohammad-Reza Abolghasemi Dehaqani:
Models Developed for Spiking Neural Networks. CoRR abs/2212.04377 (2022)- 2021
[i3]Kaveh Akbarzadeh-Sherbaf, Mikaeel Bahmani, Danial Ghiaseddin, Saeed Safari, AbdolHossein Vahabie:
A Novel Approximate Hamming Weight Computing for Spiking Neural Networks: an FPGA Friendly Architecture. CoRR abs/2104.14594 (2021)- 2020
[j2]Kaveh Akbarzadeh-Sherbaf
, Saeed Safari, AbdolHossein Vahabie
:
A digital hardware implementation of spiking neural networks with binary FORCE training. Neurocomputing 412: 129-142 (2020)
[i2]Saeed Masoudnia, Melika Kheirieh, AbdolHossein Vahabie, Babak Nadjar Araabi:
Attention-based Assisted Excitation for Salient Object Segmentation. CoRR abs/2003.14194 (2020)
2010 – 2019
- 2019
[j1]Saeed Masoudnia
, Omid Mersa
, Babak Nadjar Araabi
, AbdolHossein Vahabie
, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi
:
Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs. Expert Syst. Appl. 133: 317-330 (2019)
[i1]Saeed Masoudnia, Omid Mersa, Babak Nadjar Araabi, AbdolHossein Vahabie, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi:
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs. CoRR abs/1903.06536 (2019)- 2017
[c2]Saeed Masoudnia, AbdolHossein Vahabie, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
Attention Modulation Effects on Visual Feature-selectivity of Neurons in Brain-inspired Categorization Models. CogSci 2017- 2012
[c1]Hamidreza Jamalabadi, Hossein Nasrollahi, Majid Nili Ahmadabadi, Babak Nadjar Araabi
, AbdolHossein Vahabie
, Mohammad-Reza Abolghasemi Dehaqani:
A Dynamic Bio-inspired Model of Categorization. ICONIP (2) 2012: 160-167
Coauthor Index

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last updated on 2026-02-26 23:21 CET by the dblp team
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