Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. - Konstantinos D. Polyzos; Costas Mavromatis; Vassilis N. Ioannidis; Georgios B. Giannakis (ACSSC, 2020)

Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ACSCC, 2021)

On-Policy Reinforcement Learning via Ensemble Gaussian Processes with Application to Resource Allocation. - Konstantinos D. Polyzos; Qin Lu 002; Alireza Sadeghi; Georgios B. Giannakis (ACSCC, 2021)

Graph-Adaptive Incremental Learning Using an Ensemble of Gaussian Process Experts. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2021)

Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEECONF, 2022)

Weighted Ensembles for Active Learning with Adaptivity. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (CoRR, 2022)

Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2022)

Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. - Stavroula Tassi; Konstantinos D. Polyzos; Dimitrios I. Fotiadis; Antonis I. Sakellarios (BIBM, 2023)

Bayesian Self-Supervised Learning Using Local and Global Graph Information. - Konstantinos D. Polyzos; Alireza Sadeghi; Georgios B. Giannakis (CAMSAP, 2023)

Gaussian Process Dynamical Modeling for Adaptive Inference Over Graphs. - Qin Lu 002; Konstantinos D. Polyzos (ICASSP, 2023)

Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (ICASSP, 2023)

Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. - Manish Kumar Singh 005; Konstantinos D. Polyzos; Panagiotis A. Traganitis; Sairaj V. Dhople; Georgios B. Giannakis (ICASSP, 2023)

3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning. - Athanasios Bacharis; Konstantinos D. Polyzos; Henry J. Nelson; Georgios B. Giannakis; Nikolaos Papanikolopoulos (CoRR, 2023)

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. - Qin Lu 002; Konstantinos D. Polyzos; Bingcong Li; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Kernel-Driven Self-Supervision for Multi-View Learning Over Graphs. - Alireza Sadeghi; Konstantinos D. Polyzos; Georgios B. Giannakis (IEEECONF, 2024)

Active labeling for online ensemble learning. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (SAM, 2024)

Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing. - Jia Yan; Qin Lu 002; Konstantinos D. Polyzos (SAM, 2024)

Ensembles of Informative Representations for Self-Supervised Learning. - Konstantinos D. Polyzos; Panagiotis A. Traganitis; Manish Kumar Singh 005; Georgios B. Giannakis (MLSP, 2024)

Weighted Ensembles for Adaptive Active Learning. - Konstantinos D. Polyzos; Qin Lu 002; Georgios B. Giannakis (IEEE Trans. Signal Process., 2024)

Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction. - Konstantinos D. Polyzos; Alireza Sadeghi; Wei Ye 009; Steven Sleder; Kodjo Houssou; Jeff Calder; Zhi-Li Zhang; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2024)

ActiveInitSplat: How Active Image Selection Helps Gaussian Splatting. - Konstantinos D. Polyzos; Athanasios Bacharis; Saketh Madhuvarasu; Nikos Papanikolopoulos; Tara Javidi (CoRR, 2025)