Publications

Book Chapters

BC1. K. D. Polyzos, P. P. Groumpos, and E. Dermatas “Solving the Inverse Kinematics of Robotic Arm Using Autoencoders,” in Communications in Computer and Information Science, Kravets A. et al Eds., Springer, 2019. [Paper]

Journal Papers

J5. K. D. Polyzos, A. Sadeghi, W. Ye, S. Sleder, K. Houssou, J. Calder, Z.-L. Zhang, and G. B. Giannakis, “Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction,” IEEE Transactions on Wireless Communications, 2024 (submitted)

J4. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Weighted Ensembles for Adaptive Active Learning,” IEEE Transactions on Signal Processing, 2023 (submitted)

J3. Q. Lu*, K. D. Polyzos*, B. Li, and G. B. Giannakis, “Surrogate modeling for Bayesian optimization beyond a single Gaussian process,” IEEE Transactions on Pattern Analysis and Machine Intelligence, April 2023. [Paper]

J2. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Ensemble Gaussian processes for online learning over graphs with adaptivity and scalability,” IEEE Transactions on Signal Processing, Dec. 2021. [Paper]

J1. D. C. Rodopoulos, T. V. Gortsas, K. D. Polyzos and S. V. Tsinopoulos, “New BEM/BEM and BEM/FEM scalar potential formulations for magnetostatic problems,” Engineering Analysis with Boundary Elements Journal, Elsevier, Sep. 2019. [Paper]

Conference Papers

C17. A. Bacharis, K. D. Polyzos, H. J. Nelson, G. B. Giannakis, and N. Papanikolopoulos, “3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024 (submitted)

C16. K. D. Polyzos, P. A. Traganitis, M. K. Singh, and G. B. Giannakis, “Ensembles of Informative Representations for Bayesian Self-Supervised Learning,” IEEE International Workshop on Machine Learning for Signal Processing (MLSP), August 2024 (submitted)

C15. J. Yan, Q. Lu, K. D. Polyzos, “Adaptive Bayesian Optimization for Online Management in Mobile Edge Computing,” IEEE International Workshop on Sensor Array and Multichannel Signal Processing (SAM), July 2024 

C14. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Active labeling for online ensemble learning,” IEEE International Workshop on Sensor Array and Multichannel Signal Processing (SAM), July 2024 

C13. S. C. Tassi, K. D. Polyzos, D. I. Fotiadis, and A. Sakellarios, “Gaussian Process-based Active Learning for Cardiovascular Disease Inference,” IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Dec. 2023. [Paper]

C12. K. D. Polyzos, A. Sadeghi, G. B. Giannakis, “Bayesian Self-Supervised Learning Using Local and Global Graph Information,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec. 2023. (Best student paper award finalist & IEEE SPS travel grant award) 

C11. M. K. Singh, K. D. Polyzos, P. A. Traganitis, S. Dhople and G. B. Giannakis, “Physics-Informed Transfer Learning for Voltage Stability Margin Prediction,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]

C10. K. D. Polyzos, Q. Lu and G. B. Giannakis, “Bayesian Optimization with Ensemble Learning Models and Adaptive Expected Improvement,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]

C9. Q. Lu, K. D. Polyzos and G. B. Giannakis, “Gaussian process dynamical modeling for adaptive inference over graphs,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023. (IEEE SPS travel grant award) [Paper]

C8. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2022. [Paper]

C7. K. D. Polyzos, Q. Lu, and G. B. Giannakis, “Ensemble Gaussian Processes over Egonet Features for Online Graph-Guided Learning,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2021. [Paper]

C6. K. D. Polyzos, A. Sadeghi, Q. Lu, and G. B. Giannakis, “On-policy Reinforcement Learning via Ensemble Gaussian Processes for Resource Allocation,” Asilomar International Conference on Signals, Systems, and Computers, Oct. - Nov. 2021. [Paper]

C5. K. D. Polyzos, Q. Lu and G. B. Giannakis “Graph-Adaptive Incremental learning using an ensemble of Gaussian process experts,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2021. [Paper]

C4. K. D. Polyzos, C. Mavromatis, V. N. Ioannidis and G. B. Giannakis “Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks,” IEEE Asilomar International Conference on Signals, Systems, and Computers, Nov. 2020. [Paper]

C3. K. D. Polyzos, P. P. Groumpos, and E. Dermatas “Solving the Inverse Kinematics of Robotic Arm Using Autoencoders,” Creativity in Intelligent Technologies and Data Science (CIT&DS) International Conference, Sep. 2019. (Best Paper Award) [Paper]

C2. K. D. Polyzos and E. Dermatas “Design of Automatic Target Recognition system based on multistatic passive RADAR,” UBT International Conference, Oct. 2018. [Paper]

C1. K. D. Polyzos, and E. Dermatas, “Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle,” ACOUSTICS2018 National Conference, Greece, Oct. 2018.