@inproceedings{moysiadis2023ENF,title={Electric Network Frequency Optical Sensing Devices},author={Moysiadis, Christos and Karantaidis, Georgios and Kotropoulos, Constantine},booktitle={The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications},year={2023},url={https://www.thinkmind.org/index.php?view=article&articleid=iaria_congress_2023_1_180_50152}}
@inproceedings{sarridis2022image,title={Image Driven Optimal Personalized Route Recommendation},author={Sarridis, Ioannis and Karantaidis, Georgios and Kotropoulos, Constantine},booktitle={2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)},pages={1--5},year={2022},url={https://ieeexplore.ieee.org/document/9816322},organization={IEEE}}
2021
J. Imaging
An Automated Approach for Electric Network Frequency Estimation in Static and Non-Static Digital Video Recordings
@article{karantaidis2021automated,title={An Automated Approach for Electric Network Frequency Estimation in Static and Non-Static Digital Video Recordings},author={Karantaidis, Georgios and Kotropoulos, Constantine},journal={Journal of Imaging},volume={7},number={10},pages={202},year={2021},publisher={MDPI}}
SPIC
Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation
Georgios Karantaidis, Ioannis Sarridis, and Constantine Kotropoulos
@article{karantaidis2021adaptive,title={Adaptive hypergraph learning with multi-stage optimizations for image and tag recommendation},author={Karantaidis, Georgios and Sarridis, Ioannis and Kotropoulos, Constantine},journal={Signal Processing: Image Communication},volume={97},pages={116367},year={2021},publisher={Elsevier},}
IET S. Process.
Blackman–Tukey spectral estimation and electric network frequency matching from power mains and speech recordings
@article{karantaidis2021blackman,title={Blackman--Tukey spectral estimation and electric network frequency matching from power mains and speech recordings},author={Karantaidis, Georgios and Kotropoulos, Constantine},journal={IET Signal Processing},volume={15},number={6},pages={396--409},year={2021},publisher={Wiley Online Library}}
2019
MLSP
Efficient Capon-based approach exploiting temporal windowing for electric network frequency estimation
George Karantaidis, and Constantine Kotropoulos
In 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), 2019
@inproceedings{karantaidis2019efficient,title={Efficient Capon-based approach exploiting temporal windowing for electric network frequency estimation},author={Karantaidis, George and Kotropoulos, Constantine},booktitle={2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)},pages={1--6},year={2019},organization={IEEE}}
ICIP
Block Randomized Optimization for Adaptive Hypergraph Learning
George Karantaidis, Ioannis Sarridis, and Constantine Kotropoulos
In 2019 IEEE International Conference on Image Processing (ICIP), 2019
@inproceedings{karantaidis2019block,title={Block Randomized Optimization for Adaptive Hypergraph Learning},author={Karantaidis, George and Sarridis, Ioannis and Kotropoulos, Constantine},booktitle={2019 IEEE International Conference on Image Processing (ICIP)},pages={864--868},year={2019},organization={IEEE}}
2018
PCI
Assessing spectral estimation methods for electric network frequency extraction
Georgios Karantaidis, and Constantine Kotropoulos
In Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018
@inproceedings{karantaidis2018assessing,title={Assessing spectral estimation methods for electric network frequency extraction},author={Karantaidis, Georgios and Kotropoulos, Constantine},booktitle={Proceedings of the 22nd Pan-Hellenic Conference on Informatics},pages={202--207},year={2018}}
GJI
Identifying presence of correlated errors using machine learning algorithms for the selective de-correlation of GRACE harmonic coefficients
Dimitrios Piretzidis, Gurveer Sra, Georgios Karantaidis, Michael G Sideris, and Hojjat Kabirzadeh
@article{piretzidis2018identifying,title={Identifying presence of correlated errors using machine learning algorithms for the selective de-correlation of GRACE harmonic coefficients},author={Piretzidis, Dimitrios and Sra, Gurveer and Karantaidis, Georgios and Sideris, Michael G and Kabirzadeh, Hojjat},journal={Geophysical Journal International},volume={215},number={1},pages={375--388},year={2018},publisher={Oxford University Press},}
2017
EGU
Identifying presence of correlated errors in GRACE monthly harmonic coefficients using machine learning algorithms
Dimitrios Piretzidis, Gurveer Sra, George Karantaidis, and Michael G Sideris
In EGU General Assembly Conference Abstracts, 2017
@inproceedings{piretzidis2017identifying,title={Identifying presence of correlated errors in GRACE monthly harmonic coefficients using machine learning algorithms},author={Piretzidis, Dimitrios and Sra, Gurveer and Karantaidis, George and Sideris, Michael G},booktitle={EGU General Assembly Conference Abstracts},pages={11128},year={2017}}
Master Thesis
Multimedia authentication using electric network frequency
Georgios D Karantaidis
Department of Informatics, Faculty of Sciences Aristotle University of Thessaloniki, Thessaloniki, 2017
@article{karantaidis2017multimedia,title={Multimedia authentication using electric network frequency},author={Karantaidis, Georgios D},journal={Department of Informatics, Faculty of Sciences Aristotle University of Thessaloniki, Thessaloniki},year={2017},}
Master Thesis
Gravity field modeling in the wider Crete area using surface gravity data and altimetry data from Cryosat-2 satellite mission
Georgios D Karantaidis
School of Rural and Surveying Engineering, School of Engineering Aristotle University of Thessaloniki, Thessaloniki, 2017
@article{karantaidis2017geodesy,title={Gravity field modeling in the wider Crete area using surface gravity data and altimetry data from Cryosat-2 satellite mission},author={Karantaidis, Georgios D},journal={School of Rural and Surveying Engineering, School of Engineering Aristotle University of Thessaloniki, Thessaloniki},year={2017},}