Cagri Ozdemir

According to our database, Cagri Ozdemir authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

IGCN: integrative graph convolution networks for patient level insights and biomarker discovery in multi-omics integration.

Cagri Ozdemir, Yashu Vashishath, Serdar Bozdag, Alzheimer's Disease Neuroimaging Initiative

Bioinform., 2025

2024

Tensor discriminant analysis on grassmann manifold with application to video based human action recognition.

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman

Int. J. Mach. Learn. Cybern., August, 2024

IGCN: Integrative Graph Convolutional Networks for Multi-modal Data.

Cagri Ozdemir, Mohammad Al Olaimat, Yashu Vashishath, Serdar Bozdag, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2024

2022

Forecasting Multilinear Data via Transform-Based Tensor Autoregression.

Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Cagri Ozdemir, Karen S. Braman, David Machette

CoRR, 2022

High-Order Multilinear Discriminant Analysis via Order-n Tensor Eigendecomposition.

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman

CoRR, 2022

Kernelization of Tensor Discriminant Analysis with Application to Image Recognition.

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA.

Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors.

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting.

Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2DTPCA: A New Framework for Multilinear Principal Component Analysis.

Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021