Publications

Preprints

• A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning
  Georgios Tsoumplekas, Vladislav Li, Panagiotis Sarigiannidis, Vasileios Argyriou

Journal Publications

• Is it worth the energy? An in-depth study on the energy efficiency of data augmentation strategies for finetuning-based low/few-shot object detection
  Vladislav Li, Georgios Tsoumplekas, Ilias Siniosoglou, Panagiotis Sarigiannidis, Vasileios Argyriou
  Journal of Systems Architecture, 2025
• Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
  Georgios Tsoumplekas, Christos Athanasiadis, Dimitrios Doukas, Antonios Chrysopoulos, Pericles Mitkas
  Energies, 2025

Conference Publications

• MemoryINP: Memory Enhanced Neural Processes for Understanding-Based Informed Meta-Learning
  Georgios Tsoumplekas, Nikolaos Ntampakis, Christos Vasilakis, Petros Papadopoulos, Panagiotis Sarigiannidis, Vasileios Argyriou
  2025 IEEE International Conference on Cyber Humanities (IEEE-CH)
• Energy-Efficient and Privacy-Preserving Federated Continual Learning for Cultural Heritage Preservation and Digital Humanities
  George Tziolas, Nikolaos Ntampakis, Christos Vasilakis, Georgios Tsoumplekas, Ilias Siniosoglou, Thomas Lagkas, Petros Papadopoulos, Panagiotis Sarigiannidis, Vasileios Argyriou
  2025 IEEE International Conference on Cyber Humanities (IEEE-CH)
• Enhancing Safety in Industry 5.0: Human-Computer Collaboration Benefits through a Dataset of Protective Equipment Detection
  Alexandros Petropoulos, Georgia Apostolou, Georgios Tsoumplekas, George Tziolas, Nikolaos Ntampakis, Ilias Siniosoglou, Vasileios Argyriou, Panagiotis Sarigiannidis, Ilias Gialampoukidis, Stefanos Vrochidis
  2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)
• A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
  Vladislav Li, Georgios Tsoumplekas, Ilias Siniosoglou, Vasileios Argyriou, Anastasios Lytos, Eleftherios Fountoukidis, Panagiotis Sarigiannidis
  IEEE 14th International Symposium on Industrial Embedded Systems (IEEE SIES), 2024
• Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting
  Georgios Tsoumplekas, Ilias Siniosoglou, Vasileios Argyriou, Ioannis Moscholios, Panagiotis Sarigiannidis
  International Conference on AI in Healthcare (AIiH), 2024
• Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
  Georgios Tsoumplekas, Vladislav Li, Ilias Siniosoglou, Vasileios Argyriou, Sotirios Goudos, Ioannis Moscholios, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis
  3rd Real-time And intelliGent Edge computing workshop (RAGE), 2024
• Peak demand forecasting: A comparative analysis of state-of-the-art machine learning techniques
  Christos Athanasiadis*, Georgios Tsoumplekas*, Antonios Chrysopoulos, Dimitrios Doukas
  2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), 2022