Wavelet Network Approach for Structural Damage Identification Using Guided Ultrasonic Waves. - Hossein Zamani Hosseinabadi; Behzad Nazari; Rassoul Amirfattahi; Hamid Reza Mirdamadi; Amir Reza Sadri (IEEE Trans. Instrum. Meas., 2014)

Efficient Bayesian approach to saliency detection based on Dirichlet process mixture. - Navid Rabbani; Behzad Nazari; Saeid Sadri; Reyhaneh Rikhtehgaran (IET Image Process., 2017)

Effective pixel classification of Mars images based on ant colony optimization feature selection and extreme learning machine. - Abdolreza Rashno; Behzad Nazari; Saeed Sadri; Mohamad Saraee (Neurocomputing, 2017)

Parameter Estimation in Synaptic Coupling Model Using a Point Process Modeling Framework*. - Yalda Amidi; Behzad Nazari; Saeed Sadri; Uri T. Eden; Ali Yousefi (EMBC, 2018)

A Comparison Study of Point-Process Filter and Deep Learning Performance in Estimating Rat Position Using an Ensemble of Place Cells. - Mohammad R. Rezaei; Anna K. Gillespie; Jennifer A. Guidera; Behzad Nazari; Saeid Sadri; Loren M. Frank; Uri T. Eden; Ali Yousefi (EMBC, 2018)

Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms. - Abdolreza Rashno; Dara D. Koozekanani; Paul M. Drayna; Behzad Nazari; Saeed Sadri; Hossein Rabbani; Keshab K. Parhi (IEEE Trans. Biomed. Eng., 2018)

Understanding Service-Oriented Architecture (SOA): A systematic literature review and directions for further investigation. - Naghmeh Niknejad; Waidah Ismail; Imran Ghani; Behzad Nazari; Mahadi Bahari; Ab Razak Che Hussin (Inf. Syst., 2020)

Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling. - Ali Yousefi; Yalda Amidi; Behzad Nazari; Uri T. Eden (Neural Comput., 2020)

Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework. - Yalda Amidi; Behzad Nazari; Saeid Sadri; Ali Yousefi (Neural Comput., 2021)

Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity. - Navid Ziaei; Reza Saadatifard; Ali Yousefi; Behzad Nazari; Sydney S. Cash; Angelique C. Paulk (BI, 2023)

A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data. - Navid Ziaei; Behzad Nazari; Uri T. Eden; Alik S. Widge; Ali Yousefi (IEEE Access, 2024)

A Discriminative Bayesian Gaussian Process Latent Variable Model for High-Dimensional Data. - Navid Ziaei; Behzad Nazari; Ali Yousefi (CoRR, 2024)

RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier. - Maryam Ostadsharif Memar; Navid Ziaei; Behzad Nazari; Ali Yousefi (CoRR, 2024)

A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration. - Maryam Ostadsharif Memar; Navid Ziaei; Behzad Nazari (CoRR, 2024)

Hierarchical Stochastic Differential Equation Models for Latent Manifold Learning in Neural Time Series. - Pedram Rajaei; Maryam Ostadsharif Memar; Navid Ziaei; Behzad Nazari; Ali Yousefi (CoRR, 2025)