Yuri Levin-Schwartz

According to our database, Yuri Levin-Schwartz authored at least 23 papers between 2014 and 2022.

Collaborative distances:

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

2022

Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data.

Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Sensors, 2022

2018

Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis.

Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

J. Frankl. Inst., 2018

Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization.

Zois Boukouvalas, Yuri Levin-Schwartz, Rami Mowakeaa, Gengshen Fu, Tülay Adali

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.

Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data.

Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Suchita Bhinge, Vince D. Calhoun, Tülay Adali

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia.

Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

IEEE Trans. Medical Imaging, 2017

Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia.

Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Parameter-free automated extraction of neuronal signals from calcium imaging data.

Yuri Levin-Schwartz, Dennis R. Sparta, Joseph F. Cheer, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Two models for fusion of medical imaging data: Comparison and connections.

Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis.

Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Non-orthogonal constrained independent vector analysis: Application to data fusion.

Suchita Bhinge, Qunfang Long, Yuri Levin-Schwartz, Zois Boukouvalas, Vince D. Calhoun, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Data-driven fusion of multi-camera video sequences: Application to abandoned object detection.

Suchita Bhinge, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers.

Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the 25th European Signal Processing Conference, 2017

A graph theoretical approach for performance comparison of ICA for fMRI analysis.

Qunfang Long, Suchita Bhinge, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Power spectra constrained IVA for enhanced detection of SSVEP content.

Darren Emge, Zois Boukouvalas, Yuri Levin-Schwartz, Suchita Bhinge, Qunfang Long, Tülay Adali

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data.

Suchita Bhinge, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016

Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data.

Yuri Levin-Schwartz, Yang Song, Peter J. Schreier, Vince D. Calhoun, Tülay Adali

NeuroImage, 2016

IVA for abandoned object detection: Exploiting dependence across color channels.

Suchita Bhinge, Zois Boukouvalas, Yuri Levin-Schwartz, Tülay Adali

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties.

Tülay Adali, Yuri Levin-Schwartz, Vince D. Calhoun

Proc. IEEE, 2015

Multimodal Data Fusion Using Source Separation: Application to Medical Imaging.

Tülay Adali, Yuri Levin-Schwartz, Vince D. Calhoun

Proc. IEEE, 2015

Multivariate Fusion of EEG and Functional MRI Data Using ICA: Algorithm Choice and Performance Analysis.

Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A data-driven solution for abandoned object detection: Advantages of multiple types of diversity.

Suchita Bhinge, Yuri Levin-Schwartz, Gengshen Fu, Béatrice Pesquet-Popescu, Tülay Adali

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Data-driven fusion of EEG, functional and structural MRI: A comparison of two models.

Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali

Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014