CFNN: Correlated fuzzy neural network. - Mohammad Mehdi Ebadzadeh; Armin Salimi-Badr (Neurocomputing, 2015)

Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (Biol. Cybern., 2017)

A possible correlation between the basal ganglia motor function and the inverse kinematics calculation. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (J. Comput. Neurosci., 2017)

A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh; Christian Darlot (Comput. Biol. Medicine, 2018)

IC-FNN: A Novel Fuzzy Neural Network With Interpretable, Intuitive, and Correlated-Contours Fuzzy Rules for Function Approximation. - Mohammad Mehdi Ebadzadeh; Armin Salimi-Badr (IEEE Trans. Fuzzy Syst., 2018)

A self-organizing fuzzy neural network for sequence learning. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (CoRR, 2019)

A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis. - Christian Darlot; Armin Salimi-Badr; Mitra Asadi-Eydivand; Zahra Ghorrati; Mohammad Mehdi Ebadzadeh (IEEE Access, 2020)

Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (CoRR, 2020)

Parkinson's Disease Diagnosis based on Gait Cycle Analysis Through an Interpretable Interval Type-2 Neuro-Fuzzy System. - Armin Salimi-Badr; Mohammad Hashemi; Hamidreza Saffari (CoRR, 2021)

ROS-Based Co-Simulation for Formal Cyber-Physical Robotic System Design. - Mohammad Vazirpanah; Seyed-Hosein Attarzadeh-Niaki; Armin Salimi-Badr (CSICC, 2022)

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. - Armin Salimi-Badr (Appl. Soft Comput., 2022)

A novel evolutionary-based neuro-fuzzy task scheduling approach to jointly optimize the main design challenges of heterogeneous MPSoCs. - Athena Abdi; Armin Salimi-Badr (CoRR, 2022)

UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured Fuzzy Rules for Classification. - Armin Salimi-Badr (CoRR, 2022)

A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (Neurocomputing, 2022)

A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks. - Armin Salimi-Badr; Mohammad Mehdi Ebadzadeh (IEEE Trans. Cybern., 2022)

ENF-S: An Evolutionary-Neuro-Fuzzy Multi-Objective Task Scheduler for Heterogeneous Multi-Core Processors. - Athena Abdi; Armin Salimi-Badr (IEEE Trans. Sustain. Comput., 2023)

A type-2 neuro-fuzzy system with a novel learning method for Parkinson's disease diagnosis. - Armin Salimi-Badr; Mohammad Hashemi; Hamidreza Saffari (Appl. Intell., 2023)

An Explainable Deep Learning-Based Method for Schizophrenia Diagnosis Using Generative Data-Augmentation. - Mehrshad Saadatinia; Armin Salimi-Badr (IEEE Access, 2024)

A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation. - Armin Salimi-Badr (Appl. Soft Comput., 2024)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach. - Alireza Rashnu; Armin Salimi-Badr (CoRR, 2024)

UNFIS: A Novel Neuro-Fuzzy Inference System with Unstructured fuzzy rules. - Armin Salimi-Badr (Neurocomputing, 2024)

DyUnS: Dynamic and uncertainty-aware task scheduling for multiprocessor embedded systems. - Athena Abdi; Armin Salimi-Badr (Sustain. Comput. Informatics Syst., 2024)

Self-organizing lightweight correlation-aware fuzzy broad learning system for high-dimensional large-scale classification problems. - Armin Salimi-Badr; Mohammad Mahdi Parchamijalal (Appl. Soft Comput., 2025)

LitANFIS: Literal-aware Adaptive Neuro-Fuzzy Inference System to learn Conjunctive Normal Form. - Mohammad Mahdi Parchamijalal; Armin Salimi-Badr (Neurocomputing, 2025)

SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis. - Armin Salimi-Badr; Mahan Veisi; Sadra Berangi (CoRR, 2025)

A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks. - Faezeh Sarlakifar; Mohammadreza Mohammadzadeh Asl; Sajjad Rezvani Khaledi; Armin Salimi-Badr (CoRR, 2025)