Ensemble Gaussian processes for online learning over graphs with adaptivity and scalability KD Polyzos, Q Lu, GB Giannakis IEEE Transactions on Signal Processing 70, 17-30, 2021 | 24 | 2021 |
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Q Lu*, KD Polyzos*, B Li, GB Giannakis IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 15 | 2023 |
Graph-adaptive incremental learning using an ensemble of Gaussian process experts KD Polyzos, Q Lu, GB Giannakis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 15 | 2021 |
New BEM/BEM and BEM/FEM scalar potential formulations for magnetostatic problems DC Rodopoulos, TV Gortsas, K Polyzos, SV Tsinopoulos Engineering Analysis with Boundary Elements 106, 160-169, 2019 | 12 | 2019 |
Weighted ensembles for active learning with adaptivity KD Polyzos, Q Lu, GB Giannakis arXiv preprint arXiv:2206.05009, 2022 | 8 | 2022 |
Online graph-guided inference using ensemble gaussian processes of egonet features KD Polyzos, Q Lu, GB Giannakis 2021 55th Asilomar Conference on Signals, Systems, and Computers, 182-186, 2021 | 8 | 2021 |
On-policy reinforcement learning via ensemble Gaussian processes with application to resource allocation KD Polyzos, Q Lu, A Sadeghi, GB Giannakis 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1018-1022, 2021 | 7 | 2021 |
Bayesian optimization with ensemble learning models and adaptive expected improvement KD Polyzos, Q Lu, GB Giannakis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
Active sampling over graphs for Bayesian reconstruction with Gaussian ensembles KD Polyzos, Q Lu, GB Giannakis 2022 56th Asilomar Conference on Signals, Systems, and Computers, 58-64, 2022 | 5 | 2022 |
Unveiling anomalous edges and nominal connectivity of attributed networks KD Polyzos, C Mavromatis, VN Ioannidis, GB Giannakis 2020 54th Asilomar Conference on Signals, Systems, and Computers, 726-730, 2020 | 5 | 2020 |
Solving the inverse kinematics of robotic arm using autoencoders KD Polyzos, PP Groumpos, E Dermatas Creativity in Intelligent Technologies and Data Science: Third Conference …, 2019 | 5 | 2019 |
Gaussian process dynamical modeling for adaptive inference over graphs Q Lu, KD Polyzos ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Physics-informed transfer learning for voltage stability margin prediction MK Singh, KD Polyzos, PA Traganitis, SV Dhople, GB Giannakis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
3d reconstruction in noisy agricultural environments: A bayesian optimization perspective for view planning A Bacharis, KD Polyzos, HJ Nelson, GB Giannakis, N Papanikolopoulos arXiv preprint arXiv:2310.00145, 2023 | 1 | 2023 |
Real-Time detection, classification and DOA estimation of Unmanned Aerial Vehicle K Polyzos, E Dermatas arXiv preprint arXiv:1902.11130, 2019 | 1 | 2019 |
Bayesian Self-Supervised Learning Using Local and Global Graph Information KD Polyzos, A Sadeghi, GB Giannakis 2023 IEEE 9th International Workshop on Computational Advances in Multi …, 2023 | | 2023 |
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference SC Tassi, KD Polyzos, DI Fotiadis, AI Sakellarios 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
Detection and recognition of aerial targets via RADAR data processing, machine learning techniques and neural networks K Polyzos | | 2018 |
Design of Automatic Target Recognition system based on multistatic passive RADAR K Polyzos, E Dermatas Conference Book of Proceedings, 125, 2018 | | 2018 |