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Armin Salimi-Badr
Armin Salimi-Badr
Assistant Professor of Computer Science and Engineering, Shahid Beheshti University
Adresse e-mail validée de sbu.ac.ir - Page d'accueil
Titre
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Année
IC-FNN: a novel fuzzy neural network with interpretable, intuitive, and correlated-contours fuzzy rules for function approximation
MM Ebadzadeh, A Salimi-Badr
IEEE Transactions on Fuzzy Systems 26 (3), 1288-1302, 2017
612017
CFNN: Correlated fuzzy neural network
MM Ebadzadeh, A Salimi-Badr
Neurocomputing 148, 430-444, 2015
512015
A novel self-organizing fuzzy neural network to learn and mimic habitual sequential tasks
A Salimi-Badr, MM Ebadzadeh
IEEE Transactions on Cybernetics 52 (1), 323 - 332, 2022
362022
A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules
A Salimi-Badr, MM Ebadzadeh
Neurocomputing 470, 139-153, 2022
192022
IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function approximation
A Salimi-Badr
Applied Soft Computing 115, 108258, 2022
192022
Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay
A Salimi-Badr, MM Ebadzadeh, C Darlot
Biological cybernetics 111, 421-438, 2017
182017
A type-2 neuro-fuzzy system with a novel learning method for Parkinson’s disease diagnosis
A Salimi-Badr, M Hashemi, H Saffari
Applied Intelligence 53 (12), 15656-15682, 2023
112023
A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements
A Salimi-Badr, MM Ebadzadeh, C Darlot
Computers in biology and medicine 92, 78-89, 2018
112018
A possible correlation between the basal ganglia motor function and the inverse kinematics calculation
A Salimi-Badr, MM Ebadzadeh, C Darlot
Journal of Computational Neuroscience 43, 295-318, 2017
102017
A Neural-Based Approach to Aid Early Parkinson's Disease Diagnosis
A Salimi-Badr, M Hashemi
2020 11th international conference on information and knowledge technology …, 2020
72020
ENF-S: An Evolutionary-Neuro-Fuzzy Multi-Objective Task Scheduler for Heterogeneous Multi-core Processors
A Abdi, A Salimi-Badr
IEEE Transactions on Sustainable Computing 8 (3), 479 - 491, 2023
42023
A systematic embedded software design flow for robotic applications
N Mahdian, SH Attarzadeh-Niaki, A Salimi-Badr
2021 11th International Conference on Computer Engineering and Knowledge …, 2021
42021
Ros-based co-simulation for formal cyber-physical robotic system design
M Vazirpanah, SH Attarzadeh-Niaki, A Salimi-Badr
2022 27th International Computer Conference, Computer Society of Iran (CSICC …, 2022
32022
Backpropagation-free learning method for correlated fuzzy neural networks
A Salimi-Badr, MM Ebadzadeh
arXiv preprint arXiv:2012.01935, 2020
32020
An efficient planning method for autonomous navigation of a wheeled-robot based on deep reinforcement learning
AS Sadr, MS Khojasteh, H Malek, A Salimi-Badr
2022 12th International Conference on Computer and Knowledge Engineering …, 2022
22022
An Explainable Deep Learning-Based Method For Schizophrenia Diagnosis Using Generative Data-Augmentation
M Saadatinia, A Salimi-Badr
arXiv preprint arXiv:2310.16867, 2023
12023
Early Parkinson's Disease Diagnosis Based on Sequence Analysis
A Salimi-Badr, M Hashemi
Journal of Innovations in Computer Science and Engineering (JICSE), 1-10, 2023
12023
A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs
A Abdi, A Salimi-Badr
arXiv preprint arXiv:2203.14717, 2022
12022
Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
A Rashnu, A Salimi-Badr
arXiv preprint arXiv:2404.15335, 2024
2024
A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation
A Salimi-Badr
Applied Soft Computing, 111458, 2024
2024
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