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Publications of the School of Informatics

Catalogue of Scopus Publications

Displaying results 176 to 200 of 6332
2025

Journal Conference Paper

  1. Tzavidas N., Kaimakamidis A., Pitas I.. Cloud Learning-by-Education Node Community (C-LENC) Framework. Proceedings of the IEEE International Conference on Big Data Bigdata. no.2025. p.7521-7528. 2025.

Journal Article

  1. Christodoulou G., Christoforidis V.. Fair and truthful allocations under leveled valuations. Information Processing Letters. vol.190. August 2025.
  2. Papaioannou D., Mygdalis V., Pitas I.. Towards human society-inspired decentralized DNN inference. Signal Processing Image Communication. vol.136. August 2025.
  3. Nelson J., Pavlidis M., Fish A., Polatidis N., Manolopoulos Y.. Leveraging Ethical Narratives to Enhance LLM-AutoML Generated Machine Learning Models. Expert Systems. vol.42. no.7. July 2025.
  4. Tassios A., Tegos S., Bouas C., Manousaridis K., Papoutsoglou M., Kaltsa M., Dimopoulou E., Mavropoulos T., Vrochidis S., Meditskos G.. LLM Performance in Low-Resource Languages: Selecting an Optimal Model for Migrant Integration Support in Greek. Future Internet. vol.17. no.6. June 2025.
  5. Christodoulou G., Koutsoupias E., Kovacs A.. Truthful Allocation in Graphs and Hypergraphs. ACM Transactions on Economics and Computation. vol.13. no.2. 14 May 2025.
  6. Aouaidjia K., Zhang C., Pitas I.. Spatio-temporal invariant descriptors for skeleton-based human action recognition. Information Sciences. vol.700. May 2025.
  7. Adamoudis M., Draziotis K.A.. MESSAGE RECOVERY ATTACK ON NTRU USING A LATTICE INDEPENDENT FROM THE PUBLIC KEY. Advances in Mathematics of Communications. vol.19. no.1. p.109-125. February 2025.
  8. Korgialas C., Kotropoulos C.. Attention Source Device Identification Using Audio Content From Videos and Grad-CAM Explanations. IEEE Open Journal of Signal Processing. vol.6. p.1124-1138. 2025.
  9. Tsingalis I., Kotropoulos C.. On Combining Deep Neural Network Classifiers for Source Device Identification. IEEE Access. vol.13. p.58425-58441. 2025.
  10. Christodoulou G., Koutsoupias E., Kovacs A.. ON THE NISAN-RONEN CONJECTURE FOR SUBMODULAR VALUATIONS. SIAM Journal on Computing. vol.54. no.4. p.1021-1064. 2025.
  11. Tsingalis I., Pantraki E., Kotropoulos C.. LNN-PARAFAC2: Lightweight Non-Negative PARAFAC2 With Applications in Cross-Lingual Document Classification. IEEE Access. vol.13. p.187858-187875. 2025.

Conference Proceeding Editorial

  1. Barhamgi M., Sellami S., Manolopoulos Y.. Message from the Program Co-Chairs. Proceedings of IEEE ACS International Conference on Computer Systems and Applications Aiccsa. 2025.

Conference Proceeding Conference Paper

  1. Mentesidis P., Papaioannidis C., Pitas I.. Bridging the Gap: Sequential Fine-Tuning for Improved Damage Detection in Sparse Data Scenarios. Proceedings of 2025 3rd International Conference on Robotics Control and Vision Engineering Rcve 2025. p.20-25. 1 August 2025.
  2. Tzimas I., Katsanos C.. Do Potential Issues Reported by Automated Tools Affect Guideline-based Web Accessibility Evaluation? A Case Study on Greek Public Hospitals. Proceedings 28th Pan Hellenic Conference on Progress in Computing and Informatics with International Participation PCI 2024. p.275-280. 28 May 2025.
  3. Moukanou D., Raptis G.E., Katsanos C.. Challenges in Transitioning from Desktop 3D to Extended Reality Space: The Case of a Virtual Museum Application. Proceedings 28th Pan Hellenic Conference on Progress in Computing and Informatics with International Participation PCI 2024. p.174-179. 28 May 2025.
  4. Gocev I., Meditskos G., Bassiliades N.. Towards Abduction-Based Ontology Matching. Proceedings IEEE International Conference on Knowledge Graph Ickg 2025. p.114-121. 2025.
  5. Tzimas M.D., Mygdalis V., Pitas I.. A Weighting Loss Approach for Transformer-Based Object Detection. Proceedings of the International Joint Conference on Neural Networks. 2025.
  6. Vlachos E., Papaioannidis C., Pitas I.. Neural Architecture Search and Knowledge Distillation for Semantic Image Segmentation on Big Wildfire Datasets. European Signal Processing Conference. p.750-754. 2025.
  7. Avgoustidis F., Bassia P., Pitas I.. Trustworthy Majority Voting for Labeling and Analyzing Multi-Annotator Text Sentiment Datasets. European Signal Processing Conference. p.281-285. 2025.
  8. Mentesidis P., Mygdalis V., Pitas I.. IMPROVE REAL-TIME FLOOD SEGMENTATION BY ENCODING AND DISTILLING FOREGROUND INFORMATION. Proceedings International Conference on Image Processing Icip. p.1840-1845. 2025.
  9. Siavrakas M., Papaioannidis C., Pitas I.. BLAZE: A DATASET FOR WILDFIRE AND BURNT AREA UAV IMAGE CLASSIFICATION AND SEGMENTATION. Proceedings International Conference on Image Processing Icip. p.1960-1965. 2025.
  10. Valsamara I., Papaioannidis C., Pitas I.. Distilling Structural Knowledge: Teaching Representations in Multi-DNN Agent Systems. Proceedings IEEE Symposium on Computers and Communications. 2025.

Book Series Conference Paper

  1. Adamoudis M., Draziotis K.A., Poimenidou E.. Towards Message Recovery in NTRU Encryption with Auxiliary Data. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. vol.14966 LNCS. p.314-329. 2025.
  2. Menteidis P., Papaioannidis C., Pitas I.. Foreground-Aware Knowledge Distillation for Enhanced Damage Detection. Lecture Notes in Computer Science. vol.15626 LNCS. p.99-115. 2025.

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