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ORCIDSeyed Naser Razavi
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2020 – today
- 2024
[j21]Hadi Abbasi, Hadi Seyedarabi
, Seyed Naser Razavi:
A combinational deep learning approach for automated visual classification using EEG signals. Signal Image Video Process. 18(3): 2453-2464 (2024)- 2023
- [j20]Davood KeyKhosravi, Seyed Naser Razavi, Kambiz Majidzadeh, Amin Babazadeh Sangar:
Offline writer identification using a developed deep neural network based on a novel signature dataset. J. Ambient Intell. Humaniz. Comput. 14(9): 12425-12441 (2023) - [j19]Majid Mohebbi, Seyed Naser Razavi, Mohammad Ali Balafar:
Computing semantic similarity of texts by utilizing dependency graph. J. Intell. Inf. Syst. 61(2): 421-452 (2023) - [j18]Yousef Gheibi, Kimia Shirini, Seyed Naser Razavi, Mehdi Farhoudi, Taha Samad-Soltani:
CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images. BMC Medical Informatics Decis. Mak. 23(1): 192 (2023) - [j17]Hamed Haddadi, Seyed Naser Razavi, Amin Babazadeh Sangar:
Deep learning-based risk reduction approach using novel banking parameters on a standardized dataset. Neural Comput. Appl. 35(29): 21663-21673 (2023) - [j16]Mojtaba Najafi, Tohid Yousefi Rezaii, Sebelan Danishvar, Seyed Naser Razavi:
Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation. Sensors 23(17): 7612 (2023) - [j15]Samad Najjar-Ghabel, Leili Farzinvash, Seyed Naser Razavi:
Data harvesting in wireless sensor networks using mobile sinks under real-world circumstances. J. Supercomput. 79(5): 5486-5515 (2023) - 2022
- [j14]Samrand Khezrpour, Hadi Seyedarabi, Seyed Naser Razavi, Mehdi Farhoudi:
Automatic segmentation of the brain stroke lesions from MR flair scans using improved U-net framework. Biomed. Signal Process. Control. 78: 103978 (2022) - [j13]Seyed Nadi Mohamed Khosroshahi, Seyed Naser Razavi, Amin Babazadeh Sangar, Kambiz Majidzadeh:
Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset. J. Ambient Intell. Humaniz. Comput. 13(5): 2685-2704 (2022) - 2021
- [j12]Babak Masoudi, Sabalan Daneshvar, Seyed Naser Razavi:
Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis. Intell. Data Anal. 25(3): 527-540 (2021) - [j11]Babak Masoudi, Sabalan Daneshvar, Seyed Naser Razavi:
A multi-modal fusion of features method based on deep belief networks to diagnosis schizophrenia disease. Int. J. Wavelets Multiresolution Inf. Process. 19(3): 2050088:1-2050088:16 (2021) - 2020
- [j10]Samad Najjar-Ghabel, Leili Farzinvash, Seyed Naser Razavi:
Mobile sink-based data gathering in wireless sensor networks with obstacles using artificial intelligence algorithms. Ad Hoc Networks 106: 102243 (2020) - [j9]Mahdi Roshanzamir, Mohammad Ali Balafar, Seyed Naser Razavi:
A new hierarchical multi group particle swarm optimization with different task allocations inspired by holonic multi agent systems. Expert Syst. Appl. 149: 113292 (2020) - [j8]Hamid Akramifard, Mohammad Ali Balafar, Seyed Naser Razavi, Abd. Rahman bin Ramli:
Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study - Alzheimer's Disease Diagnosis. Sensors 20(3): 941 (2020) - [j7]Samad Najjar-Ghabel, Leili Farzinvash, Seyed Naser Razavi:
HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks. J. Supercomput. 76(4): 2748-2776 (2020)
2010 – 2019
- 2018
- [j6]Mir Mohammad Alipour, Seyed Naser Razavi, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar:
A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem. Neural Comput. Appl. 30(9): 2935-2951 (2018) - [i2]Saber Malekzadeh, Mohammad Hossein Gholizadeh, Seyed Naser Razavi:
Persian Vowel recognition with MFCC and ANN on PCVC speech dataset. CoRR abs/1812.06953 (2018) - [i1]Saber Malekzadeh, Mohammad Hossein Gholizadeh, Seyed Naser Razavi:
Persian phonemes recognition using PPNet. CoRR abs/1812.08600 (2018) - 2017
- [j5]Mahdi Roshanzamir, Mohammad Ali Balafar, Seyed Naser Razavi:
Empowering particle swarm optimization algorithm using multi agents' capability: A holonic approach. Knowl. Based Syst. 136: 58-74 (2017) - 2015
- [j4]Mir Mohammad Alipour, Seyed Naser Razavi:
A new multiagent reinforcement learning algorithm to solve the symmetric traveling salesman problem. Multiagent Grid Syst. 11(2): 107-119 (2015) - 2012
- [j3]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) - [j2]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) - [c1]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
- [j1]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)
Coauthor Index
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