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Δρ. Νικόλαος Δημητρίου -
Δημοσιεύσεις

Δημοσιεύσεις Σε Περιοδικά

  1. A. Vrochidis, N. Dimitriou, S. Krinidis, S. Panagiotidis, S. Parcharidis, D. Tzovaras, "A Deep Learning Framework for Monitoring Audience Engagement in Online Video Events", International Journal of Computational Intelligence Systems, 17, April 2024, 10.1007/s44196-024-00512-w.
  2. A. Vrochidis, P. Charalampous, N. Dimitriou, N. Kladovasilakis, M. Chatzakis, G. Georgiadis, D. Tzovaras, S. Krinidis, "Automatic elevator shaft inspection using a multi-sensor measuring system and computer vision techniques", Elsevier Journal of Building Engineering, Volume 82, April 2024, https://doi.org/10.1016/j.jobe.2023.108358
  3. L. Leontaris, A. Mitsiaki, P. Charalampous, N. Dimitriou, E. Leivaditou, A. Karamanidis, G. Margetis, K. C. Apostolakis, S. Pantoja, C. Stephanidis, D. Tzovaras, E. Papageorgiou, "A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency.", In Computers in Industry (Vol. 149, p. 103919). Elsevier BV. https://doi.org/10.1016/j.compind.2023.103919
  4. A. Evangelidis, N. Dimitriou, L. Leontaris, D. Ioannidis, G. Tinker, D. Tzovaras, "A Deep Regression Framework Towards Laboratory Accuracy in the Shop Floor of Microelectronics", . IEEE Transactions on Industrial Informatics. 2022.
  5. K. Papageorgiou, T. Theodosiou, A. Rapti, E. Papageorgiou, N. Dimitriou, D. Tzovaras, G. Margetis, "Asystematic review on machine learning methods for root cause analysis towards zero-defect manufacturing", Frontiers in Manufacturing Technology, 2:972712, 2022.
  6. K. Apostolakis, N. Dimitriou, G. Margetis, S. Ntoa, D. Tzovaras, C. Stephanidis, "DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions", [version 2; peer review: 2 approved]. Open Research Europe, 1:87, 2022.
  7. T. Vafeiadis, N. Kolokas, N. Dimitriou, A. Zacharaki, M. Yildirim, H. Selvi, D. Ioannidis, D. Tzovaras, "A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation", Simulation Modelling Practice and Theory, 102400, 2021.
  8. St. Papadopoulos, N. Dimitriou, A. Drosou, D. Tzovaras, "Modelling spatio-temporal ageing phenomena with deep Generative Adversarial Networks", Signal Processing: Image Communication, https://doi.org/10.1016/j.image.2021.116200
  9. L. Leontaris, N. Dimitriou, D. Ioannidis, K. Votis, D. Tzovaras, E. Papageorgiou, "An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning.", IEEE Access, 9, pp.75336-75348 (2021)
  10. T. Kotsiopoulos, L. Leontaris, N. Dimitriou, D. Ioannidis, F. Oliveira, J. Sacramento, ..., P. Sarigiannidis, "Deep multi-sensorial data analysis for production monitoring in hard metal industry", The International Journal of Advanced Manufacturing Technology, 1-14, (2020).
  11. D. Tsiktsiris, N. Dimitriou, A. Lalas, M. Dasygenis, K. Votis, D. Tzovaras, "Real-time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures", Sensors 2020, 20, 4943; doi:10.3390/s20174943.
  12. N. Dimitriou, L. Leontaris, T. Vafeiadis, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "A Deep Learning Framwork for Simulation and Defect Prediction in Industrial Processes", Simulation Modelling Practise and Theory, 2020.
  13. N. Dimitriou, L. Leontaris, T. Vafeiadis, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans", IEEE Transactions on Industrial Electronics, 2019.
  14. T. Vafeiadis, N. Dimitriou, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "A framework for inspection of dies attachment on PCB utilizing machine learning techniques", Journal of Management Analytics, 2018, Vol. 5, Issue 2, p. 81-94.

Δημοσιεύσεις Σε Συνέδρια

  1. D. Tsiktsiris, N. Dimitriou, Z. Kolias, S. Skourti, P. Girssas, A. Lalas, K. Votis, D. Tzovaras, "A Framework for Contextual Recommendations Using Instance Segmentation.", In Proceedings of the 25th International Conference on Human-Computer Interaction, (HCI International 2023), Copenhagen, Denmark, 23-28 July, 2023 (accepted for publication).
  2. A. Vrochidis, C. Tsita, N. Dimitriou, S. Krinidis, S. Panagiotidis, S. Parcharidis, D. Tzovaras, V. Chatzis, "User perception and evaluation of a deep learning framework application for audience engagement analysis in mass events.", Procs of 25thn International Conference on Human Computer Interaction, Copenhagen, Denmark, 23-28 July 2023.
  3. A. Tzelepakis, L. Leontaris, N. Dimitriou, E. Koukidou, D. Bollas, A. Karamanidis, D. Tzovaras, "AUTOMATED DEFECT DETECTION IN BATTERY LINE ASSEMBLY VIA DEEP LEARNING ANALYSIS.",SMART 2023, 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 03-05 July 2023, Patras, Greece. DOI: 10.7712/150123.9868.444540
  4. L. Leontaris, N. Dimitriou, A. Nikolousis, D. Tzovaras, E. Papageorgiou, "Inspection Of Surface Defects In Metal Processing Industry Using Unet-Based Architectures.", In 10th ECCOMAS Thematic Conference on Smart Structures and Materials. 10th ECCOMAS Thematic Conference on Smart Structures and Materials. Dept. of Mechanical Engineering & Aeronautics University of Patras. https://doi.org/10.7712/150123.9870.444670
  5. G. Margetis, K. Apostolakis, N. Dimitriou, D. Tzovaras, C. Stephanidis, "Aligning Emerging Technologies onto I4.0 principles: Towards a Novel Architecture for Zero-defect Manufacturing", IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022.
  6. T. Tziolas, T. Theodosiou, K. Papageorgiou, A. Rapti, N. Dimitriou, D. Tzovaras, E. Papageorgiou, "Wafer Map Defect Pattern Recognition using Imbalanced Datasets", 13th International Conference on Information, Intelligence, Systems and Applications (IISA), 2022.
  7. I. Pastaltzidis, N. Dimitriou, K. Quezada-Tavarez, S. Aidinlis, T. Marquenie, A. Gurzawska, D. Tzovaras, "Data augmentation for fairness-aware machine learning: Preventing algorithmic bias in law enforcement systems.", In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22). Association for Computing Machinery, New York, NY, USA, June 2022, 2302–2314. https://doi.org/10.1145/3531146.3534644
  8. E. Papageorgiou, T. Theodosiou, G. Margetis, N. Dimitriou, P. Charalampous, D. Tzovaras, I. Samakovlis, "Short survey of artificial intelligent technologies for defect detection in manufacturing", 12th International Conference on Information, Intelligence, Systems & Applications (IISA), 2021.
  9. A. Vrochidis, N. Dimitriou, S. Krinidis, S. Panagiotidis, S. Parcharidis, D. Tzovaras, "Video Popularity Prediction through Fusing Early Viewership with Video Content", 13th International Conference on Computer Vision Systems (ICVS'21), 22-24 Sept. 2021
  10. A. Vrochidis, N. Dimitriou, S. Krinidis, S. Panagiotidis, S. Parcharidis, D. Tzovaras, "A Multi-Modal Audience Analysis System for Predicting Popularity of Online Videos", 22nd Engineering Applications of Neural Networks Conference (EANN'21), Crete, Greece, 25 - 27 June 2021
  11. V. Rousopoulou, K. Papachristou, N. Dimitriou, A. Drosou, D. Tzovaras, "Automated mechanical multi-sensorial scanning", in the Proc. of the 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, 2019.
  12. G. Stavropoulos, A. Drosou, N. Dimitriou, D. Tzovaras, "A short-term biometric based system for accurate personalized tracking", in the Proc. of the 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, 2019.
  13. St. Papadopoulos, N. Dimitriou, A. Drosou, D. Tzovaras, "Generative Adversarial Networks for Modelling Spatio-Temporal Ageing of Material Appearance and Surface Geometry", In Proc. of the 13th International Workshop on Information Search, Integration & Personalization (ISIP 2019), 2019, Heraklion, Greece, 2019
  14. K. Papachristou, N. Dimitriou, A. Drosou, G. Karagiannis, D. Tzovaras, "Realistic Texture Reconstruction Incorporating Spectrophotometric Color Correction", IEEE International Conference on Image Processing (ICIP2018), 2018. 10.1109/ICIP.2018.8451323
  15. C. Tsita, A. Sinanis, N. Dimitriou, K. Papachristou, A. Karageorgopoulou, A. Drosou, D. Tzovaras, "A configurable design approach for VR museums", EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG-GCH2018), 2018.
  16. N. Dimitriou, St. Papadopoulos, A. Drosou, D. Tzovaras, "A 3D-CNN approach for the spatio-temporal modeling of surface deterioration phenomena", 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2018), Zagori, Aristi Village, Greece, Jun. 2018.
  17. E. Taka, K. Papachristou, A. Drosou, N. Dimitriou, D. Tzovaras, "Physical Forces aware of Aging Simulation on Cultural Heritage Artifacts", 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON2017), Copenhagen, Denmark, Jun. 2017, pp. 1-4. doi: 10.1109/3DTV.2017.8280394
  18. E. Taka, K. Papachristou, N. Dimitriou, A. Drosou, D. Tzovaras, "On the potential of Simulation enhanced Conservation of CH Artifacts", IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe), Milan, Italy, Jun 2017, DOI: 10.1109/EEEIC.2017.7977688.
  19. N. Dimitriou, A. Drosou, D. Tzovaras, "Scan4Reco: Towards the digitized conservation of Cultural Heritage Assets via spatiotemporal (4D) Reconstruction and 3D Printing", EUROGRAPHICS Workshop on Graphics and Cultural Heritage (GCH 2016), Genova, 5-7 Oct. 2016.
  20. A. Drosou, N. Dimitriou, N. Sarris, A. Konstantinidis, D. Tzovaras, "Research directions for harvesting cross-sectorial correlations towards improved policy making", Data for Policy 2016, Cambridge, UK, 15-16 Sep. 2016.
  21. St. Papadopoulos, A. Drosou, N. Dimitriou, O. Abdelrahman, G. Gorbil, D. Tzovaras, "A BRPCA based approach for anomaly detection in mobile networks", 30th International Symposium on Computer and Information Sciences (ISCIS’15), Lecture Notes in Electrical Engineering, London, UK, Sep. 2015, Vol. 363, pp. 115-125, doi:10.1007/978-3-319-22635-4_10.
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