Alexandros Gkillas

Trans. Recomm. Syst., June, 2026

A unified interactive simulation platform for smart mobility: Adversarial attack generation in connected autonomous vehicles.

[BibT_eX]

[DOI]

Theodor Panagiotakopoulos

Internet Things, 2026

Multi-Partner Project: Enhancing Resilience, Efficiency, and Trustworthiness of Edge AI in Safety-Critical Systems (GuardAI).

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

Conditional Diffusion Models: A Survey of Techniques, Applications, and Challenges.

[BibT_eX]

[DOI]

Sotiris Kotsiantis

IEEE Access, 2025

A Holistic Perception System of Internal and External Monitoring for Ground Autonomous Vehicles: Autotrust Paradigm.

[BibT_eX]

[DOI]

Dimitris Tsiktsiris

Theofilos Christodoulou

Theofanis Siamatras

Dimitrios Triantafyllou

Christos Basdekis

Theoktisti Marinopoulou

Panagiotis Lepentsiotis

Proceedings of the IEEE International Smart Cities Conference, 2025

ROS Based Multi-Person 3D Pose Extraction for Edge Deployment.

[BibT_eX]

[DOI]

Kostas Bampos

Proceedings of the IEEE International Smart Cities Conference, 2025

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Smart Cities Conference, 2025

Robustifying 3D Perception via Least-Squares Graphs for Multi-Agent Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, ICME 2025 - Workshops, Nantes, France, June 30, 2025

Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, ICME 2025 - Workshops, Nantes, France, June 30, 2025

Efficient Model-Based Purification Against Adversarial Attacks for LiDAR Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2025

Synthetic Data for Enhancing Perception and Cooperative Localization in Autonomous Vehicles.

[BibT_eX]

[DOI]

Gerasimos Papachronopoulos

Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025

Cross-Domain Recommendations Using Attention and Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2025

2024

A Federated Deep Unrolling Method for Lidar Super-Resolution: Benefits in SLAM.

[BibT_eX]

[DOI]

Panagiotis I. Radoglou-Grammatikis

Evangelos K. Markakis

Ilias Politis

IEEE Trans. Intell. Veh., January, 2024

Distributed intelligence in industrial and automotive cyber-physical systems: a review.

[BibT_eX]

[DOI]

Apostolos P. Fournaris

Panagiotis G. Sarigiannidis

Konstantinos Moustakas

Frontiers Robotics AI, 2024

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal Federated Learning in AIoT Systems: Existing Solutions, Applications, and Challenges.

[BibT_eX]

[DOI]

Erion-Vasilis M. Pikoulis

Christos Mavrokefalidis

IEEE Access, 2024

Federated Data-Driven Kalman Filtering for State Estimation.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Personalized Federated Learning for Cross-View Geo-Localization.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Privacy-Preserving Federated Deep-Equilibrium Learning for Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cooperative Plug-and-Play-KalmanNet for 4D situational awareness in autonomous driving.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

A Real-time Explainable-by-design Super-Resolution Model for LiDAR SLAM.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

2023

Cost-efficient coupled learning methods for recovering near-infrared information from RGB signals: Application in precision agriculture.

[BibT_eX]

[DOI]

Comput. Electron. Agric., June, 2023

Connections Between Deep Equilibrium and Sparse Representation Models With Application to Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

An Optimization-based Deep Equilibrium Model for Hyperspectral Image Deconvolution with Convergence Guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Federated Unrolling for Boosting Low-Resolution Lidar-Based SLAM Solutions.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

An Efficient Deep Unrolling Super-Resolution Network for Lidar Automotive Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Resource Efficient Federated Learning for Deep Anomaly Detection in Industrial IoT applications.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Learning for Lidar Super Resolution on Automotive Scenes.

[BibT_eX]

[DOI]

Gerasimos Arvanitis

Konstantinos Moustakas

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Federated Deep Feature Extraction-based SLAM for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Subspace Parsimonious Dictionary Learning and its use in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

A Highly Interpretable Deep Equilibrium Network for Hyperspectral Image Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Equilibrium Models Meet Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Deep Equilibrium Assisted Block Sparse Coding of Inter-dependent Signals: Application to Hyperspectral Imaging.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Dictionary Learning from Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Missing Data Imputation for Multivariate Time series in Industrial IoT: A Federated Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

A Method for Recovering Near Infrared Information from RGB Measurements with Application in Precision Agriculture.

[BibT_eX]

[DOI]

Constantinos Constantinopoulos

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Efficient Coupled Dictionary Learning And Sparse Coding For Noisy Piecewise-Smooth Signals: Application To Hyperspectral Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Fast Sparse Coding Algorithms for Piece-wise Smooth Signals.

[BibT_eX]

[DOI]