Multi-agent based simulations using fast multipole method: application to large scale simulations of flocking dynamical systems. - Seyed Naser Razavi; Nicolas Gaud; Nasser Mozayani; Abder Koukam (Artif. Intell. Rev., 2011)

An Automatic Learning System to Derive Multipole and Local Expansions for the Fast Multipole Method. - Seyed Naser Razavi; Nicolas Gaud; Abderrafiaa Koukam; Nasser Mozayani (ICSI (2), 2012)

A genetic programming based learning system to derive multipole and local expansions for the fast multipole method. - Seyed Naser Razavi; Nicolas Gaud; Abderrafiaa Koukam; Nasser Mozayani (AI Commun., 2012)

Automatic dynamics simplification in Fast Multipole Method: application to large flocking systems. - Seyed Naser Razavi; Nicolas Gaud; Abderrafiaa Koukam; Nasser Mozayani (J. Supercomput., 2012)

A new multiagent reinforcement learning algorithm to solve the symmetric traveling salesman problem. - Mir Mohammad Alipour; Seyed Naser Razavi (Multiagent Grid Syst., 2015)

Empowering particle swarm optimization algorithm using multi agents' capability: A holonic approach. - Mahdi Roshanzamir; Mohammad Ali Balafar; Seyed Naser Razavi (Knowl. Based Syst., 2017)

Persian Vowel recognition with MFCC and ANN on PCVC speech dataset. - Saber Malekzadeh; Mohammad Hossein Gholizadeh; Seyed Naser Razavi (CoRR, 2018)

Persian phonemes recognition using PPNet. - Saber Malekzadeh; Mohammad Hossein Gholizadeh; Seyed Naser Razavi (CoRR, 2018)

A hybrid algorithm using a genetic algorithm and multiagent reinforcement learning heuristic to solve the traveling salesman problem. - Mir Mohammad Alipour; Seyed Naser Razavi; Mohammad-Reza Feizi-Derakhshi; Mohammad Ali Balafar (Neural Comput. Appl., 2018)

Mobile sink-based data gathering in wireless sensor networks with obstacles using artificial intelligence algorithms. - Samad Najjar-Ghabel; Leili Farzinvash; Seyed Naser Razavi (Ad Hoc Networks, 2020)

A new hierarchical multi group particle swarm optimization with different task allocations inspired by holonic multi agent systems. - Mahdi Roshanzamir; Mohammad Ali Balafar; Seyed Naser Razavi (Expert Syst. Appl., 2020)

Emphasis Learning, Features Repetition in Width Instead of Length to Improve Classification Performance: Case Study - Alzheimer's Disease Diagnosis. - Hamid Akramifard; Mohammad Ali Balafar; Seyed Naser Razavi; Abd. Rahman bin Ramli (Sensors, 2020)

HPDMS: high-performance data harvesting in wireless sensor networks with mobile sinks. - Samad Najjar-Ghabel; Leili Farzinvash; Seyed Naser Razavi (J. Supercomput., 2020)

Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis. - Babak Masoudi; Sabalan Daneshvar; Seyed Naser Razavi (Intell. Data Anal., 2021)

A multi-modal fusion of features method based on deep belief networks to diagnosis schizophrenia disease. - Babak Masoudi; Sabalan Daneshvar; Seyed Naser Razavi (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Automatic segmentation of the brain stroke lesions from MR flair scans using improved U-net framework. - Samrand Khezrpour; Hadi Seyedarabi; Seyed Naser Razavi; Mehdi Farhoudi (Biomed. Signal Process. Control., 2022)

Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset. - Seyed Nadi Mohamed Khosroshahi; Seyed Naser Razavi; Amin Babazadeh Sangar; Kambiz Majidzadeh (J. Ambient Intell. Humaniz. Comput., 2022)

Offline writer identification using a developed deep neural network based on a novel signature dataset. - Davood KeyKhosravi; Seyed Naser Razavi; Kambiz Majidzadeh; Amin Babazadeh Sangar (J. Ambient Intell. Humaniz. Comput., 2023)

Data harvesting in wireless sensor networks using mobile sinks under real-world circumstances. - Samad Najjar-Ghabel; Leili Farzinvash; Seyed Naser Razavi (J. Supercomput., 2023)

Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation. - Mojtaba Najafi; Tohid Yousefi Rezaii; Sebelan Danishvar; Seyed Naser Razavi (Sensors, 2023)

Computing semantic similarity of texts by utilizing dependency graph. - Majid Mohebbi; Seyed Naser Razavi; Mohammad Ali Balafar (J. Intell. Inf. Syst., 2023)

Deep learning-based risk reduction approach using novel banking parameters on a standardized dataset. - Hamed Haddadi; Seyed Naser Razavi; Amin Babazadeh Sangar (Neural Comput. Appl., 2023)

CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images. - Yousef Gheibi; Kimia Shirini; Seyed Naser Razavi; Mehdi Farhoudi; Taha Samad-Soltani (BMC Medical Informatics Decis. Mak., 2023)

A combinational deep learning approach for automated visual classification using EEG signals. - Hadi Abbasi; Hadi Seyedarabi; Seyed Naser Razavi (Signal Image Video Process., 2024)

Enhancing autoencoder models for multivariate time series anomaly detection: the role of noise and data amount. - Seyedeh Tina Sefati; Seyed Naser Razavi; Pedram Salehpour (J. Supercomput., 2025)