Navid Ziaei

According to our database, Navid Ziaei authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG Classifier.

Maryam Ostadsharif Memar, Navid Ziaei, Behzad Nazari, Ali Yousefi

CoRR, 2024

A Discriminative Bayesian Gaussian Process Latent Variable Model for High-Dimensional Data.

Navid Ziaei, Behzad Nazari, Ali Yousefi

CoRR, 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

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

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

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., September, 2023

Latent Dynamical Model to Characterize Brain Network-Level Rhythmic Dynamics.

Reza Saadati Fard, Navid Ziaei, Ali Yousefi

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

Proceedings of the Brain Informatics - 16th International Conference, 2023

2022

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

Proceedings of the Machine Learning for Healthcare Conference, 2022