Multi-kernel based nonlinear models for connectivity identification of brain networks. - G. V. Karanikolas; Georgios B. Giannakis; Konstantinos Slavakis; Richard M. Leahy (ICASSP, 2016)

Multi-kernel change detection for dynamic functional connectivity graphs. - Georgios Vasileios Karanikolas; Olaf Sporns; Georgios B. Giannakis (ACSSC, 2017)

Identifying directional connections in brain networks via multi-kernel granger models. - G. V. Karanikolas; Georgios B. Giannakis (ICASSP, 2017)

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. - Liang Zhang 006; Georgios Vasileios Karanikolas; Mehmet Akçakaya; Georgios B. Giannakis (ICASSP, 2018)

Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics. - Georgios B. Giannakis; Yanning Shen; Georgios Vasileios Karanikolas (Proc. IEEE, 2018)

Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. - Qin Lu 002; Georgios Vasileios Karanikolas; Yanning Shen; Georgios B. Giannakis (AISTATS, 2020)

Self-Driven Graph Volterra Models for Higher-Order Link Prediction. - Mario Coutino; Georgios Vasileios Karanikolas; Geert Leus; Georgios B. Giannakis (ICASSP, 2020)

Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features. - Georgios Vasileios Karanikolas; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2021)

Robust Identification of Graph Structure. - Georgios Vasileios Karanikolas; Georgios B. Giannakis (CAMSAP, 2023)

Higher-Order Link Prediction Via Learnable Maximum Mean Discrepancy. - Georgios Vasileios Karanikolas; Alba Pagès-Zamora; Georgios B. Giannakis (ICASSP, 2023)

Incremental Ensemble Gaussian Processes. - Qin Lu 002; Georgios Vasileios Karanikolas; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Bayesian Approach to High-Order Link Prediction. - Georgios Vasileios Karanikolas; Alba Pagès-Zamora; Georgios B. Giannakis (ICASSP, 2024)