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ORCIDMohammad Mehdi Ebadzadeh
Mohammad Mahdi Ebadzadeh – Mohammad M. Ebadzadeh
Person information
- affiliation: Amirkabir University of Technology, Department of Computer Engineering and Information Technology, Tehran, Iran
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2020 – today
- 2024
[j51]Fateme Shahabi Nejad
, Mohammad Mehdi Ebadzadeh:
Stock market forecasting using DRAGAN and feature matching. Expert Syst. Appl. 244: 122952 (2024)- [j50]Mohammad Modiri, Mohammad Mehdi Ebadzadeh, Mohammad Mehdi Homayounpour:
Reservoir consisting of diverse dynamical behaviors and its application in time series classification. Int. J. Data Sci. Anal. 17(1): 75-92 (2024) - [j49]Ali Yousefi, Kambiz Badie, Mohammad Mehdi Ebadzadeh, Arash Sharifi:
Improving the efficiency of the XCS learning classifier system using evolutionary memory. Wirel. Networks 30(6): 5171-5186 (2024) - 2023
- [j48]Hamid Nasiri, Mohammad Mehdi Ebadzadeh:
Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition. Appl. Soft Comput. 148: 110867 (2023) - [j47]Mohaddeseh Koosha, Ghazaleh Khodabandelou, Mohammad Mehdi Ebadzadeh:
A hierarchical estimation of multi-modal distribution programming for regression problems. Knowl. Based Syst. 260: 110129 (2023) - 2022
- [j46]Bahareh Etaati, Zahra Ghorrati, Mohammad Mehdi Ebadzadeh:
A full-featured cooperative coevolutionary memory-based artificial immune system for dynamic optimization. Appl. Soft Comput. 117: 108389 (2022) - [j45]Zahra Zojaji, Mohammad Mehdi Ebadzadeh, Hamid Nasiri:
Semantic schema based genetic programming for symbolic regression. Appl. Soft Comput. 122: 108825 (2022) - [j44]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A novel learning algorithm based on computing the rules' desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules. Neurocomputing 470: 139-153 (2022) - [j43]Hamid Nasiri, Mohammad Mehdi Ebadzadeh:
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction. Neurocomputing 507: 292-310 (2022) - [j42]Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. Inf. Sci. 584: 503-518 (2022) - [j41]Mohammad Modiri, Mohammad Mehdi Homayounpour, Mohammad Mehdi Ebadzadeh:
Reservoir weights learning based on adaptive dynamic programming and its application in time series classification. Neural Comput. Appl. 34(16): 13201-13217 (2022) - [j40]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A Novel Self-Organizing Fuzzy Neural Network to Learn and Mimic Habitual Sequential Tasks. IEEE Trans. Cybern. 52(1): 323-332 (2022) - [i8]Hamid Nasiri, Mohammad Mehdi Ebadzadeh:
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition. CoRR abs/2212.14687 (2022) - 2021
- [j39]Hamed Malek, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh, Alireza Razavi:
Mathematical analysis of the role of pituitary-adrenal interactions in ultradian rhythms of the HPA axis. Comput. Biol. Medicine 135: 104580 (2021) - [j38]Arash Abdi, Mohammad Rahmati, Mohammad M. Ebadzadeh:
Entropy based dictionary learning for image classification. Pattern Recognit. 110: 107634 (2021) - [i7]Alireza Nadali, Mohammad Mehdi Ebadzadeh:
Maximum Entropy Dueling Network Architecture. CoRR abs/2107.14457 (2021) - [i6]Shervin Halat, Mohammad Mehdi Ebadzadeh:
Modified Double DQN: addressing stability. CoRR abs/2108.04115 (2021) - [i5]Sahar Roostaie, Mohammad Mehdi Ebadzadeh:
EnTRPO: Trust Region Policy Optimization Method with Entropy Regularization. CoRR abs/2110.13373 (2021) - 2020
- [j37]Christian Darlot, Armin Salimi-Badr, Mitra Asadi-Eydivand, Zahra Ghorrati, Mohammad Mehdi Ebadzadeh:
A Computational System-Level Model of Oculomotor Pathways Accounting for the Representation of Eye Biomechanics in the Cerebellar Vermis. IEEE Access 8: 110859-110879 (2020) - [j36]Seyedeh Yasaman Rashida, Masoud Sabaei, Mohammad Mehdi Ebadzadeh, Amir Masoud Rahmani:
A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environment. Clust. Comput. 23(2): 797-836 (2020) - [j35]Seyedeh Yasaman Rashida, Masoud Sabaei, Mohammad Mehdi Ebadzadeh, Amir Masoud Rahmani:
An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network. Clust. Comput. 23(4): 3435-3460 (2020) - [j34]Hamed Ganji, Mohammad Mehdi Ebadzadeh, Shahram Khadivi:
Kernel compositional embedding and its application in linguistic structured data classification. Knowl. Based Syst. 194: 105553 (2020) - [i4]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
Backpropagation-Free Learning Method for Correlated Fuzzy Neural Networks. CoRR abs/2012.01935 (2020) - [i3]Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. CoRR abs/2012.02805 (2020)
2010 – 2019
- 2019
- [j33]Arash Abdi, Mohammad Rahmati, Mohammad Mehdi Ebadzadeh:
Dictionary learning enhancement framework: Learning a non-linear mapping model to enhance discriminative dictionary learning methods. Neurocomputing 357: 135-150 (2019) - [j32]Samaneh Sadat Mousavi Astarabadi, Mohammad Mehdi Ebadzadeh:
Genetic programming performance prediction and its application for symbolic regression problems. Inf. Sci. 502: 418-433 (2019) - [j31]Hamed Ganji, Shahram Khadivi, Mohammad Mehdi Ebadzadeh:
Support vector-based fuzzy classifier with adaptive kernel. Neural Comput. Appl. 31(7): 2117-2130 (2019) - [j30]Ghazaleh Khodabandelou, Mohammad Mehdi Ebadzadeh:
Fuzzy neural network with support vector-based learning for classification and regression. Soft Comput. 23(23): 12153-12168 (2019) - [i2]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh:
A self-organizing fuzzy neural network for sequence learning. CoRR abs/1908.00617 (2019) - 2018
- [j29]Zahra Zojaji, Mohammad Mehdi Ebadzadeh:
Semantic schema modeling for genetic programming using clustering of building blocks. Appl. Intell. 48(6): 1442-1460 (2018) - [j28]Samaneh Sadat Mousavi Astarabadi, Mohammad Mehdi Ebadzadeh:
A decomposition method for symbolic regression problems. Appl. Soft Comput. 62: 514-523 (2018) - [j27]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh, Christian Darlot:
A system-level mathematical model of Basal Ganglia motor-circuit for kinematic planning of arm movements. Comput. Biol. Medicine 92: 78-89 (2018) - [j26]Zahra Zojaji, Mohammad Mehdi Ebadzadeh:
An improved semantic schema modeling for genetic programming. Soft Comput. 22(10): 3237-3260 (2018) - [j25]Mohammad Mehdi Ebadzadeh, Armin Salimi-Badr:
IC-FNN: A Novel Fuzzy Neural Network With Interpretable, Intuitive, and Correlated-Contours Fuzzy Rules for Function Approximation. IEEE Trans. Fuzzy Syst. 26(3): 1288-1302 (2018) - 2017
- [j24]Latifeh PourMohammadBagher, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh:
Graphical model based continuous estimation of distribution algorithm. Appl. Soft Comput. 58: 388-400 (2017) - [j23]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Statistical genetic programming for symbolic regression. Appl. Soft Comput. 60: 447-469 (2017) - [j22]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh, Christian Darlot:
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. 111(5-6): 421-438 (2017) - [j21]Armin Salimi-Badr, Mohammad Mehdi Ebadzadeh, Christian Darlot:
A possible correlation between the basal ganglia motor function and the inverse kinematics calculation. J. Comput. Neurosci. 43(3): 295-318 (2017) - [j20]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
Bayesian network structure training based on a game of learning automata. Int. J. Mach. Learn. Cybern. 8(4): 1093-1105 (2017) - 2016
- [j19]Zahra Zojaji, Mohammad Mehdi Ebadzadeh:
Semantic schema theory for genetic programming. Appl. Intell. 44(1): 67-87 (2016) - [j18]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata. Appl. Intell. 45(1): 135-151 (2016) - [j17]Ali Jafari, Reza Safabakhsh, Mohammad Mehdi Ebadzadeh:
Endmember orthonormal mapping in hyperspectral mixture analysis to address endmember variability. Earth Sci. Informatics 9(3): 291-307 (2016) - [j16]Behnaz Moradabadi, Mohammad Mahdi Ebadzadeh, Mohammad Reza Meybodi:
A new real-coded stochastic Bayesian optimization algorithm for continuous global optimization. Genet. Program. Evolvable Mach. 17(2): 145-167 (2016) - [j15]Parand Akhlaghi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
Imprecise query processing in wireless sensor networks: a fuzzy-based approach. Int. J. Ad Hoc Ubiquitous Comput. 22(1): 14-34 (2016) - [j14]Babak Nasiri, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh:
History-Driven Particle Swarm Optimization in dynamic and uncertain environments. Neurocomputing 172: 356-370 (2016) - 2015
- [j13]Mitra Asadi-Eydivand, Mohammad Mehdi Ebadzadeh, Mehran Solati-Hashjin, Christian Darlot, Noor Azuan Abu Osman:
Cerebellum-inspired neural network solution of the inverse kinematics problem. Biol. Cybern. 109(6): 561-574 (2015) - [j12]Hamed Malek, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh, Alireza Razavi, Jalal Zaringhalam:
Dynamics of the HPA axis and inflammatory cytokines: Insights from mathematical modeling. Comput. Biol. Medicine 67: 1-12 (2015) - [j11]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Improving GP generalization: a variance-based layered learning approach. Genet. Program. Evolvable Mach. 16(1): 27-55 (2015) - [j10]Mohammad Mehdi Ebadzadeh, Armin Salimi-Badr:
CFNN: Correlated fuzzy neural network. Neurocomputing 148: 430-444 (2015) - [c17]Samaneh Sadat Mousavi Astarabadi, Mohammad Mehdi Ebadzadeh:
Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees. GECCO (Companion) 2015: 1441-1442 - 2014
- [j9]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Estimation of mutual information by the fuzzy histogram. Fuzzy Optim. Decis. Mak. 13(3): 287-318 (2014) - [i1]Mahdi Zamani, Mahnush Movahedi, Mohammad Mehdi Ebadzadeh, Hossein Pedram:
A Danger-Based Approach to Intrusion Detection. CoRR abs/1401.0102 (2014) - 2013
- [j8]Mohammad Hasanzadeh, Mohammad Reza Meybodi, Mohammad Mehdi Ebadzadeh:
Adaptive cooperative particle swarm optimizer. Appl. Intell. 39(2): 397-420 (2013) - 2012
- [j7]Hamed Malek, Mohammad Mehdi Ebadzadeh, Mohammad Rahmati:
Three new fuzzy neural networks learning algorithms based on clustering, training error and genetic algorithm. Appl. Intell. 37(2): 280-289 (2012) - [j6]Seyyed Hadi Cheheltani, Mohammad Mehdi Ebadzadeh:
Immune based fuzzy agent plays checkers game. Appl. Soft Comput. 12(8): 2227-2236 (2012) - [j5]Ahmad Nickabadi, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh:
A competitive clustering particle swarm optimizer for dynamic optimization problems. Swarm Intell. 6(3): 177-206 (2012) - [c16]Hamid Izadinia, Mohammad Mehdi Ebadzadeh:
Adaptive Quantum-inspired Evolution Strategy. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j4]Ahmad Nickabadi, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh:
A novel particle swarm optimization algorithm with adaptive inertia weight. Appl. Soft Comput. 11(4): 3658-3670 (2011) - [c15]Emad Ahmadi, Hoda Javadi, Amin Khansefid, Atousa Asadi, Mohammad Mehdi Ebadzadeh, Dirk Timmerman:
Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses. HEALTHINF 2011: 364-375 - [c14]Ehsan Shahamatnia, Mohammad Mehdi Ebadzadeh:
Application of particle swarm optimization and snake model hybrid on medical imaging. CIMI 2011: 23-0 - [c13]Mehrdad Alizadeh, Mohammad Mehdi Ebadzadeh:
Kernel evolution for support vector classification. EAIS 2011: 93-99 - [c12]Ehsan Sharifi, Reza Askari Moghadam, Fernando Bobillo, Mohammad Mehdi Ebadzadeh:
A fuzzy framework for Semantic Web Service description, matchmaking, ranking and selection. FSKD 2011: 621-625 - 2010
- [c11]Fernando Bobillo, Ehsan Sharifi, Mohammad Mehdi Ebadzadeh, Reza Askari Moghadam:
On fuzzy Semantic Web Services. FUZZ-IEEE 2010: 1-6 - [c10]Rahman Arshizadeh, Mohammad Mehdi Ebadzadeh:
Fuzzy External Force for Snake. ITNG 2010: 376-381
2000 – 2009
- 2009
- [j3]Hossien Riahi-Madvar, Seyed Ali Ayyoubzadeh, Ehsan Khadangi, Mohammad Mehdi Ebadzadeh:
An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS. Expert Syst. Appl. 36(4): 8589-8596 (2009) - [j2]Omid Khayat, Mohammad Mehdi Ebadzadeh, Hamid Reza Shahdoosti, Ramin Rajaei, Iman Khajehnasiri:
A novel hybrid algorithm for creating self-organizing fuzzy neural networks. Neurocomputing 73(1-3): 517-524 (2009) - [j1]Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept. Neural Networks 22(5-6): 633-641 (2009) - [c9]Mahdi Zamani, Mahnush Movahedi, Mohammad Mehdi Ebadzadeh, Hossein Pedram:
A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents. CIS (1) 2009: 516-520 - [c8]Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
Fuzzy generalized hough transform invariant to rotation and scale in noisy environment. FUZZ-IEEE 2009: 153-158 - [c7]Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach. IJCNN 2009: 1388-1393 - [c6]Hamid Izadinia, Mohammad Mehdi Ebadzadeh:
Quantum-Inspired Evolution Strategy. SoCPaR 2009: 724-727 - 2008
- [c5]Ahmad Nickabadi, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh:
DNPSO: A Dynamic Niching Particle Swarm Optimizer for multi-modal optimization. IEEE Congress on Evolutionary Computation 2008: 26-32 - [c4]Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohammad Mehdi Ebadzadeh:
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual. GECCO 2008: 1115-1116 - [c3]Ahmad Nickabadi, Mohammad Mehdi Ebadzadeh, Reza Safabakhsh:
Evaluating the performance of DNPSO in dynamic environments. SMC 2008: 2640-2645 - 2007
- [c2]Naser NourAshrafoddin, Ali R. Vahdat, Mohammad Mehdi Ebadzadeh:
Automatic Design of Modular Neural Networks Using Genetic Programming. ICANN (1) 2007: 788-798 - [c1]Soudeh Kasiri Bidhendi, Abbas Sarraf Shirazi, Narges Fotoohi, Mohammad Mehdi Ebadzadeh:
Material Classification of Hyperspectral Images Using Unsupervised Fuzzy Clustering Methods. SITIS 2007: 619-623
Coauthor Index
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