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Georgios Vasileios Karanikolas
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2020 – today
- 2024
- [c10]Georgios Vasileios Karanikolas, Alba Pagès-Zamora, Georgios B. Giannakis:
A Bayesian Approach to High-Order Link Prediction. ICASSP 2024: 13251-13255 - 2023
- [j2]Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Incremental Ensemble Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1876-1893 (2023) - [c9]Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Robust Identification of Graph Structure. CAMSAP 2023: 486-490 - [c8]Georgios Vasileios Karanikolas, Alba Pagès-Zamora, Georgios B. Giannakis:
Higher-Order Link Prediction Via Learnable Maximum Mean Discrepancy. ICASSP 2023: 1-5 - 2021
- [c7]Georgios Vasileios Karanikolas, Qin Lu, Georgios B. Giannakis:
Online Unsupervised Learning Using Ensemble Gaussian Processes with Random Features. ICASSP 2021: 3190-3194 - [i1]Qin Lu, Georgios Vasileios Karanikolas, Georgios B. Giannakis:
Incremental Ensemble Gaussian Processes. CoRR abs/2110.06777 (2021) - 2020
- [c6]Qin Lu, Georgios Vasileios Karanikolas, Yanning Shen, Georgios B. Giannakis:
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability. AISTATS 2020: 1910-1920 - [c5]Mario Coutino, Georgios Vasileios Karanikolas, Geert Leus, Georgios B. Giannakis:
Self-Driven Graph Volterra Models for Higher-Order Link Prediction. ICASSP 2020: 3887-3891
2010 – 2019
- 2018
- [j1]Georgios B. Giannakis, Yanning Shen, Georgios Vasileios Karanikolas:
Topology Identification and Learning over Graphs: Accounting for Nonlinearities and Dynamics. Proc. IEEE 106(5): 787-807 (2018) - [c4]Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akçakaya, Georgios B. Giannakis:
Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. ICASSP 2018: 6677-6681 - 2017
- [c3]Georgios Vasileios Karanikolas, Olaf Sporns, Georgios B. Giannakis:
Multi-kernel change detection for dynamic functional connectivity graphs. ACSSC 2017: 1555-1559 - [c2]G. V. Karanikolas, Georgios B. Giannakis:
Identifying directional connections in brain networks via multi-kernel granger models. ICASSP 2017: 6304-6308 - 2016
- [c1]G. V. Karanikolas, Georgios B. Giannakis, Konstantinos Slavakis, Richard M. Leahy:
Multi-kernel based nonlinear models for connectivity identification of brain networks. ICASSP 2016: 6315-6319
Coauthor Index
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last updated on 2024-08-08 20:16 CEST by the dblp team
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