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ORCIDKonstantinos D. Polyzos
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2020 – today
- 2024
[j3]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Weighted Ensembles for Adaptive Active Learning. IEEE Trans. Signal Process. 72: 4178-4190 (2024)- 2023
- [j2]Qin Lu
, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis:
Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11283-11296 (2023) - [c10]Stavroula Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. BIBM 2023: 3188-3193 - [c9]Konstantinos D. Polyzos, Alireza Sadeghi, Georgios B. Giannakis:
Bayesian Self-Supervised Learning Using Local and Global Graph Information. CAMSAP 2023: 256-260 - [c8]Qin Lu, Konstantinos D. Polyzos:
Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. ICASSP 2023: 1-5 - [c7]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. ICASSP 2023: 1-5 - [c6]Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis:
Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. ICASSP 2023: 1-5 - [i4]Athanasios Bacharis, Konstantinos D. Polyzos, Henry J. Nelson, Georgios B. Giannakis, Nikolaos Papanikolopoulos:
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning. CoRR abs/2310.00145 (2023) - 2022
- [j1]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability. IEEE Trans. Signal Process. 70: 17-30 (2022) - [c5]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. IEEECONF 2022: 58-64 - [i3]Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis:
Surrogate modeling for Bayesian optimization beyond a single Gaussian process. CoRR abs/2205.14090 (2022) - [i2]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Weighted Ensembles for Active Learning with Adaptivity. CoRR abs/2206.05009 (2022) - 2021
- [c4]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. ACSCC 2021: 182-186 - [c3]Konstantinos D. Polyzos, Qin Lu, Alireza Sadeghi, Georgios B. Giannakis:
On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. ACSCC 2021: 1018-1022 - [c2]Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis:
Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. ICASSP 2021: 5220-5224 - [i1]Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis:
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. CoRR abs/2104.08637 (2021) - 2020
- [c1]Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis:
Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. ACSSC 2020: 726-730
Coauthor Index
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