Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture. - Ebrahim Pourjafari; Navid Ziaei; Mohammad R. Rezaei; Amir Sameizadeh; Mohammad Shafiee; Mohammad Alavinia; Mansour Abolghasemian; Nick Sajadi (MLHC, 2022)

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)

Latent Dynamical Model to Characterize Brain Network-Level Rhythmic Dynamics. - Reza Saadati Fard; Navid Ziaei; Ali Yousefi (EMBC, 2023)

Reverse survival model (RSM): a pipeline for explaining predictions of deep survival models. - Mohammad R. Rezaei; Reza Saadati Fard; Ebrahim Pourjafari; Navid Ziaei; Amir Sameizadeh; Mohammad Shafiee; Mohammad Alavinia; Mansour Abolghasemian; Nick Sajadi (Appl. Intell., 2023)

Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data. - Navid Ziaei; Joshua J. Stim; Melanie D. Goodman-Keiser; Scott Sponheim; Alik S. Widge; Sasoun Krikorian; Ali Yousefi (EMBC, 2024)

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)