Mohammad Mehdi Ebadzadeh
Orcid: 0000-0001-6466-5229Affiliations:
- Amirkabir University of Technology, Department of Computer Engineering and Information Technology, Tehran, Iran
According to our database1,
Mohammad Mehdi Ebadzadeh
authored at least 72 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Reservoir consisting of diverse dynamical behaviors and its application in time series classification.
Int. J. Data Sci. Anal., January, 2024
2023
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition.
Appl. Soft Comput., November, 2023
A hierarchical estimation of multi-modal distribution programming for regression problems.
Knowl. Based Syst., 2023
2022
A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks.
IEEE Trans. Cybern., 2022
Reservoir weights learning based on adaptive dynamic programming and its application in time series classification.
Neural Comput. Appl., 2022
A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules.
Neurocomputing, 2022
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction.
Neurocomputing, 2022
Appl. Soft Comput., 2022
A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization.
Appl. Soft Comput., 2022
2021
CoRR, 2021
Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis.
Comput. Biol. Medicine, 2021
2020
Kernel compositional embedding and its application in linguistic structured data classification.
Knowl. Based Syst., 2020
CoRR, 2020
An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network.
Clust. Comput., 2020
A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environment.
Clust. Comput., 2020
A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis.
IEEE Access, 2020
2019
Fuzzy neural network with support vector-based learning for classification and regression.
Soft Comput., 2019
Neural Comput. Appl., 2019
Genetic programming performance prediction and its application for symbolic regression problems.
Inf. Sci., 2019
Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods.
Neurocomputing, 2019
2018
IC-FNN: A Novel Fuzzy Neural Network With Interpretable, Intuitive, and Correlated-Contours Fuzzy Rules for Function Approximation.
IEEE Trans. Fuzzy Syst., 2018
A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements.
Comput. Biol. Medicine, 2018
Semantic schema modeling for genetic programming using clustering of building blocks.
Appl. Intell., 2018
2017
Int. J. Mach. Learn. Cybern., 2017
A possible correlation between the basal ganglia motor function and the inverse kinematics calculation.
J. Comput. Neurosci., 2017
Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay.
Biol. Cybern., 2017
Appl. Soft Comput., 2017
2016
Neurocomputing, 2016
Int. J. Ad Hoc Ubiquitous Comput., 2016
A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization.
Genet. Program. Evolvable Mach., 2016
Endmember orthonormal mapping in hyperspectral mixture analysis to address endmember variability.
Earth Sci. Informatics, 2016
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata.
Appl. Intell., 2016
2015
Genet. Program. Evolvable Mach., 2015
Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling.
Comput. Biol. Medicine, 2015
Biol. Cybern., 2015
Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Fuzzy Optim. Decis. Mak., 2014
2013
2012
Swarm Intell., 2012
Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm.
Appl. Intell., 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Appl. Soft Comput., 2011
A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011
Application of particle swarm optimization and snake model hybrid on medical imaging.
Proceedings of the IEEE Third International Workshop On Computational Intelligence In Medical Imaging, 2011
Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses.
Proceedings of the HEALTHINF 2011, 2011
2010
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010
2009
A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.
Neural Networks, 2009
Neurocomputing, 2009
An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS.
Expert Syst. Appl., 2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Fuzzy generalized hough transform invariant to rotation and scale in noisy environment.
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2008
Proceedings of the IEEE International Conference on Systems, 2008
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Material Classification of Hyperspectral Images Using Unsupervised Fuzzy Clustering Methods.
Proceedings of the Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007
Proceedings of the Artificial Neural Networks, 2007