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2020 – today
- 2024
[j28]Zamen Jabr
, Sauleh Etemadi, Nasser Mozayani:
Arabic Lip Reading With Limited Data Using Deep Learning. IEEE Access 12: 111611-111626 (2024)- [j27]Javad Peymanfard, Samin Heydarian, Ali Lashini, Hossein Zeinali, Mohammad Reza Mohammadi, Nasser Mozayani:
A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset. Expert Syst. Appl. 238(Part E): 121648 (2024) - 2023
- [j26]Sara Amini, Maziar Palhang, Nasser Mozayani:
POMCP-based decentralized spatial task allocation algorithms for partially observable environments. Appl. Intell. 53(10): 12613-12631 (2023) - [c38]Babak Badnava, Mona Esmaeili, Nasser Mozayani, Payman Zarkesh-Ha:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CCWC 2023: 1-6 - [c37]Sara Amini, Maziar Palhang, Nasser Mozayani:
An Approximate Method for Spatial Task Allocation in Partially Observable Environments. CSICC 2023: 1-6 - [i7]Javad Peymanfard, Samin Heydarian, Ali Lashini, Hossein Zeinali, Mohammad Reza Mohammadi, Nasser Mozayani:
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset. CoRR abs/2301.10180 (2023) - [i6]Javad Peymanfard, Ali Lashini, Samin Heydarian, Hossein Zeinali, Nasser Mozayani:
Word-level Persian Lipreading Dataset. CoRR abs/2304.04068 (2023) - [i5]Javad Peymanfard, Vahid Saeedi, Mohammad Reza Mohammadi, Hossein Zeinali, Nasser Mozayani:
Leveraging Visemes for Better Visual Speech Representation and Lip Reading. CoRR abs/2307.10157 (2023) - 2022
- [i4]Hossein Parineh, Nasser Mozayani:
MAS2HP: A Multi Agent System to predict protein structure in 2D HP model. CoRR abs/2205.08451 (2022) - 2021
- [j25]Marzieh Davoodabadi Farahani, Nasser Mozayani:
Acquiring reusable skills in intrinsically motivated reinforcement learning. J. Intell. Manuf. 32(8): 2147-2168 (2021) - [i3]Javad Peymanfard, Mohammad Reza Mohammadi, Hossein Zeinali, Nasser Mozayani:
Lip reading using external viseme decoding. CoRR abs/2104.04784 (2021) - 2020
- [j24]Marzieh Davoodabadi Farahani, Nasser Mozayani:
Evaluating skills in hierarchical reinforcement learning. Int. J. Mach. Learn. Cybern. 11(10): 2407-2420 (2020) - [j23]Mohammad Mirhashemi, Reza Anvari, Morteza Barari, Nasser Mozayani:
Test-Cost Sensitive Ensemble of Classifiers Using Reinforcement Learning. Rev. d'Intelligence Artif. 34(2): 143-150 (2020)
2010 – 2019
- 2019
- [j22]Marzieh Davoodabadi Farahani, Nasser Mozayani:
Automatic construction and evaluation of macro-actions in reinforcement learning. Appl. Soft Comput. 82 (2019) - [j21]Ahmad Malekian Borujeni, Mahmood Fathy, Nasser Mozayani:
A hierarchical, scalable architecture for a real-time monitoring system for an electrocardiography, using context-aware computing. J. Biomed. Informatics 96 (2019) - [c36]Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed-Motlagh, Eric T. Matson:
Towards Topological Analysis of Networked Holonic Multi-agent Systems. PAAMS 2019: 42-54 - [i2]Babak Badnava, Nasser Mozayani:
A new Potential-Based Reward Shaping for Reinforcement Learning Agent. CoRR abs/1902.06239 (2019) - 2018
- [j20]Nasrin Mohammadhasani, Hashem Fardanesh, Javad Hatami, Naser Mozayani, Rosa Angela Fabio:
The pedagogical agent enhances mathematics learning in ADHD students. Educ. Inf. Technol. 23(6): 2299-2308 (2018) - [c35]Zahra Alavikia, Nasser Mozayani, Jalal Shahbazi, Fatemeh Alavikia:
Utilizing an Agent Based Negotiation Mechanism to Defend Against Jamming Attack in Smart Grid Power Market. IST 2018: 45-52 - [c34]Marzieh Davoodabadi Farahani, Nasser Mozayani:
Constructing and Evaluating Options in Reinforcement Learning. IST 2018: 183-186 - [c33]Javad Peymanfard, Nasser Mozayani:
A Holonification Model Using Random Forest for Crowd Simulation. IST 2018: 311-314 - [c32]Hossein Hosseinzadeh, Hakem Beitollahi, Nasser Mozayani:
A Flexible and Efficient Reconfigurable Architecture based on Multi-Agent Systems. IST 2018: 429-434 - 2017
- [j19]Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed-Motlagh, Eric T. Matson:
A socially-based distributed self-organizing algorithm for holonic multi-agent systems: Case study in a task environment. Cogn. Syst. Res. 43: 21-44 (2017) - [j18]Mehdi Khazaei, Nasser Mozayani:
Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems. Int. J. Netw. Manag. 27(3) (2017) - 2016
- [j17]Akram Beigi, Nasser Mozayani:
Dialogue strategy for horizontal communication in MAS organization. Comput. Math. Organ. Theory 22(2): 161-183 (2016) - [j16]Ahmad Esmaeili, Nasser Mozayani, Mohammad Reza Jahed-Motlagh, Eric T. Matson:
The impact of diversity on performance of holonic multi-agent systems. Eng. Appl. Artif. Intell. 55: 186-201 (2016) - [j15]Behzad Ghazanfari, Nasser Mozayani:
Extracting bottlenecks for reinforcement learning agent by holonic concept clustering and attentional functions. Expert Syst. Appl. 54: 61-77 (2016) - [j14]Akram Beigi, Nasser Mozayani:
A simple interaction model for learner agents: An evolutionary approach. J. Intell. Fuzzy Syst. 30(5): 2713-2726 (2016) - [j13]Mehdi Khazaei, Nasser Mozayani:
A dynamic distributed overload control mechanism in SIP networks with holonic multi-agent systems. Telecommun. Syst. 63(3): 437-455 (2016) - [c31]Leila Mansourifar, Nasser Mozayani, Mohsen Pazari:
An optimized bandwidth allocation in broadband digital economy. IST 2016: 619-625 - [i1]Seyed Sajad Mousavi, Ali Borji, Nasser Mozayani:
Learning to predict where to look in interactive environments using deep recurrent q-learning. CoRR abs/1612.05753 (2016) - 2015
- [j12]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Towards reinforcement learning for holonic multi-agent systems. Intell. Data Anal. 19(2): 211-232 (2015) - 2014
- [j11]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Hierarchical control of traffic signals using Q-learning with tile coding. Appl. Intell. 40(2): 201-213 (2014) - [j10]Seyed Sajad Mousavi, Behzad Ghazanfari, Nasser Mozayani, Mohammad Reza Jahed-Motlagh:
Automatic abstraction controller in reinforcement learning agent via automata. Appl. Soft Comput. 25: 118-128 (2014) - [j9]Rahmatollah Beheshti, Nasser Mozayani:
HOMAN, a learning based negotiation method for holonic multi-agent systems. J. Intell. Fuzzy Syst. 26(2): 655-666 (2014) - [j8]Behzad Ghazanfari, Nasser Mozayani:
Enhancing Nash Q-learning and Team Q-learning mechanisms by using bottlenecks. J. Intell. Fuzzy Syst. 26(6): 2771-2783 (2014) - [j7]Akram Beigi, Nasser Mozayani:
A new dialogue strategy in multi-agent systems. J. Intell. Fuzzy Syst. 27(2): 641-653 (2014) - [c30]Rahmatollah Beheshti, Roghayeh Barmaki, Nasser Mozayani:
Negotiations in Holonic Multi-agent Systems. ANAC@AAMAS 2014: 107-118 - 2013
- [j6]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Holonic multi-agent system for traffic signals control. Eng. Appl. Artif. Intell. 26(5-6): 1575-1587 (2013) - 2012
- [j5]Seyed Naser Razavi, Nicolas Gaud, Abderrafiaa Koukam, Nasser Mozayani:
A genetic programming based learning system to derive multipole and local expansions for the fast multipole method. AI Commun. 25(4): 305-319 (2012) - [j4]Seyed Naser Razavi, Nicolas Gaud, Abderrafiaa Koukam, Nasser Mozayani:
Automatic dynamics simplification in Fast Multipole Method: application to large flocking systems. J. Supercomput. 62(3): 1537-1559 (2012) - [c29]Fariba Eftekhari, Nasser Mozayani:
Emergent holonic organization by stigmergy. IST 2012: 877-881 - [c28]Monireh Abdoos, Ahmad Esmaeili, Nasser Mozayani:
Holonification of a Network of Agents Based on Graph Theory. KES-AMSTA 2012: 379-388 - [c27]Seyed Naser Razavi, Nicolas Gaud, Abderrafiaa Koukam, Nasser Mozayani:
An Automatic Learning System to Derive Multipole and Local Expansions for the Fast Multipole Method. ICSI (2) 2012: 1-10 - 2011
- [j3]Seyed Naser Razavi, Nicolas Gaud, Nasser Mozayani, Abder Koukam:
Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems. Artif. Intell. Rev. 35(1): 53-72 (2011) - [c26]Hamid Parvin, Nasser Mozayani, Akram Beigi:
A Classifier Ensemble for Face Recognition Using Gabor Wavelet Features. CISIS 2011: 301-307 - [c25]Akram Beigi, Nasser Mozayani, Hamid Parvin:
Chaotic Exploration Generator for Evolutionary Reinforcement Learning Agents in Nondeterministic Environments. ICANNGA (2) 2011: 245-253 - [c24]Monireh Abdoos, Nasser Mozayani, Ana L. C. Bazzan:
Traffic light control in non-stationary environments based on multi agent Q-learning. ITSC 2011: 1580-1585 - [c23]Rahmatollah Beheshti, Nasser Mozayani:
A New Mechanism for Negotiations in Multi-Agent Systems Based on ARTMAP Artificial Neural Network. KES-AMSTA 2011: 311-320 - 2010
- [j2]Ahmad Esmaeili, Nasser Mozayani:
HoloJade: A Role Based Holonic Extension for JADE. Int. J. Agent Technol. Syst. 2(2): 49-63 (2010) - [c22]Akram Beigi, Hamid Parvin, Nasser Mozayani, Behrouz Minaei:
Improving Reinforcement Learning Agents Using Genetic Algorithms. AMT 2010: 330-337 - [c21]Ahmad Esmaeili, Nasser Mozayani:
Improving Multi-agent Negotiations Using Multi-Objective PSO Algorithm. KES-AMSTA (1) 2010: 92-101
2000 – 2009
- 2009
- [j1]Mahmood Amintoosi, Mahmood Fathy, Nasser Mozayani:
Precise Image Registration with Structural Similarity Error Measurement Applied to Superresolution. EURASIP J. Adv. Signal Process. 2009 (2009) - [c20]Maryam Barzegar, Nasser Mozayani, Mahmood Fathy:
Secure Safety Messages Broadcasting in Vehicular Network. AINA Workshops 2009: 1055-1060 - [c19]Hossein Moeinzadeh, Mehdi Mohammadi, Hossein Pazhoumand-dar, Arman Mehrbakhsh, Navid Kheibar, Nasser Mozayani:
Evolutionary-Reduced Ordered Binary Decision Diagram. Asia International Conference on Modelling and Simulation 2009: 142-145 - [c18]Reza Malekian, Reza Berangi, Naser Mozayani:
A Cross Layer Design for providing Routing and Qos in Mobile IPv6 Networks-ROMA. BroadBandCom 2009: 263-267 - [c17]Fahimeh Farahnakian, Nasser Mozayani:
Reinforcement Learning for Soccer Multi-agents System. CIS (2) 2009: 50-52 - [c16]Mahmood Amintoosi, Mahmood Fathy, Nasser Mozayani:
Regional Varying Image Super-Resolution. CSO (1) 2009: 913-917 - [c15]Mahmood Amintoosi, Mahmood Fathy, Nasser Mozayani:
Video Resolution Enhancement in the Presence of Moving Objects. IPCV 2009: 456-460 - 2008
- [c14]Fahimeh Farahnakian, Nasser Mozayani:
Learning through Decision Tree in Simulated Soccer Environment. CIS (2) 2008: 68-70 - [c13]Kushan Ahmadian, Abbas Golestani, Mohammad Reza Jahed-Motlagh, Nasser Mozayani:
A New Non-Autonomous Chaotic Neural Network for Solving TSP. IC-AI 2008: 876-880 - [c12]Kushan Ahmadian, Abbas Golestani, Mohammad Reza Jahed-Motlagh, Nasser Mozayani:
A Noisy Chaotic Neural Network for Solving Attributed Relational Graph Matching Problem. IC-AI 2008: 892-896 - [c11]Rashidi Khazaee Parviz, Nasser Mozayani, Mohammad Reza Jahed-Motlagh:
Mutual Information Based Input Variable Selection Algorithm and Wavelet Neural Network for Time Series Prediction. ICANN (1) 2008: 798-807 - [c10]Mahmood Fathy, Nasser Mozayani, Mahmood Amintoosi:
Outlier Removal for Super-Resolution Problem Using QR-Decomposition. IPCV 2008: 271-277 - [c9]Maryam Moghadam Fard, Mehdi Moghadam Fard, Nasser Mozayani:
A new on-line signature verification by Spatio-Temporal neural network. ISI 2008: 233-235 - [c8]Hosein Alizadeh, Hamid Parvin, Behrouz Minaei-Bidgoli, Nasser Mozayani:
CSMD: Centralized Surface Matching Degree, a New Approach for Determining Matching Degree in Fuzzy Systems. NCM (2) 2008: 339-344 - [c7]Rashidi Khazaee Parviz, Nasser Mozayani, Mohammad Reza Jahed-Motlagh:
A genetic-based input variable selection algorithm using mutual information and wavelet network for time series prediction. SMC 2008: 2133-2137 - 2007
- [c6]Monireh Abdoos, Nasser Mozayani:
A Combined Feature for Fingerprint Recognition. CIS 2007: 400-404 - [c5]Mahmood Amintoosi, Farzam Farbiz, Mahmood Fathy, Morteza Analoui, Nasser Mozayani:
QR Decomposition-Based Algorithm for Background Subtraction. ICASSP (1) 2007: 1093-1096 - [c4]Nasser Razavi, Nasser Mozayani:
A Resource Leveling Model Based On Genetic Algorithms: Activity Splitting Allowed. IMECS 2007: 109-114 - [c3]Kushan Ahmadian, Abbas Golestani, Nasser Mozayani, Peyman Kabiri:
A new multi-objective evolutionary approach for creating ensemble of classifiers. SMC 2007: 1031-1036 - 2006
- [c2]Hamed Rahimov, Mohammad Reza Jahed-Motlagh, Nasser Mozayani:
A New Learning Method for S-GCM. Australian Conference on Artificial Intelligence 2006: 1246-1251 - 2005
- [c1]Mehdi Salmani Jelodar, Mohammad Javad Fadaeieslam, Nasser Mozayani, Mahlagha Fazeli:
A Persian OCR System Using Morphological Operators. WEC (2) 2005: 137-140
Coauthor Index
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last updated on 2024-09-10 01:15 CEST by the dblp team
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