Georgios Vasileios Karanikolas

According to our database, Georgios Vasileios Karanikolas authored at least 12 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Bayesian Approach to High-Order Link Prediction.

Georgios Vasileios Karanikolas, Alba Pagès-Zamora, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Incremental Ensemble Gaussian Processes.

Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Higher-Order Link Prediction Via Learnable Maximum Mean Discrepancy.

Georgios Vasileios Karanikolas, Alba Pagès-Zamora, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Identification of Graph Structure.

Georgios Vasileios Karanikolas, Georgios B. Giannakis

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2021

Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features.

Georgios Vasileios Karanikolas, Qin Lu, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Self-Driven Graph Volterra Models for Higher-Order Link Prediction.

Mario Coutino, Georgios Vasileios Karanikolas, Geert Leus, Georgios B. Giannakis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability.

Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics.

Georgios B. Giannakis, Yanning Shen, Georgios Vasileios Karanikolas

Proc. IEEE, 2018

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks.

Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Identifying directional connections in brain networks via multi-kernel granger models.

G. V. Karanikolas, Georgios B. Giannakis

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-kernel change detection for dynamic functional connectivity graphs.

Georgios Vasileios Karanikolas, Olaf Sporns, Georgios B. Giannakis

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Multi-kernel based nonlinear models for connectivity identification of brain networks.

G. V. Karanikolas, Georgios B. Giannakis, Konstantinos Slavakis, Richard M. Leahy

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016