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Δημοσιεύσεις ΙΠΤΗΛ

Δημοσιεύσεις σε Περιοδικά

  1. P. Charalampous, I. Kostavelis, T. Kontodina, D. Tzovaras, "Learning-based Error Modeling in FDM 3D Printing Process", Rapid Prototyping Journal, Emerald, January, 2021, https://doi.org/10.1108/RPJ-03-2020-0046
  2. I. Fudos, M. Ntousia, V. Stamati, P. Charalampous, T. Kontodina, I. Kostavelis, D. Tzovaras, L. Billalis, "A characterization of 3D Printability", Computer-Aided Design and Applications, Volume 18, Number 6, pp. 1279-1295, https://doi.org/10.14733/cadaps.2021.1279-1295
  3. S. Mylonas, A. Axenopoulos, P. Daras, "DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins", Bioinformatics Journal, 2021, Accepted for publication (https://arxiv.org/pdf/2002.05643).
  4. S. 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

Δημοσιεύσεις σε Συνέδρια

  1. E .Batziou, P. Alvanitopoulos, K. Ioannidis, I. Patras, S. Vrochidis, I. Kompatsiaris, "Cycle-Consistent Adversarial Networks and Fast Adaptive Bi-dimensional Empirical Mode Decomposition for Style Transfer", 25th International Conference on Pattern Recognition (ICPR2020), 10 & 15 January 2021, Milan, Italy (accepted for publication)
  2. I. Gialampoukidis, A. Moumtzidou, M. Bakratsas, S. Vrochidis, I. Kompatsiaris, "A multimodal tensor-based late fusion approach for satellite image search in Sentinel 2 images", 27th International Conference on Multimedia Modeling, January 25-27, 2021, Prague, Czech Republic (accepted for publication).
  3. P. Giannakeris, A. Tsanousa, A. Mavropoulos, G. Meditskos, S. Vrochidis, I. Kompatsiaris, "Fusion of Multimodal Sensor Data for Effective Human Action Recognition in the Service of a Medicine-Oriented Platform", Special Session on MULTIMED2021: Multimedia and Multimodal Analytics in the Medical Domain and Pervasive Environments, 27th International Conference on Multimedia Modelling (MMM2021), 25-27 January, 2021 in Prague, Czech Republic, (accepted for publication).
  4. G. Lazaridis, K. Papachristou, A. Drosou, D. Ioannidis, P. Chatzimisios, D. Tzovaras, "On the potential of SDN enabled network deployment in tactical environments", 17th International Conference on Artificial Intelligence Applications and Innovations, 2021.
  5. A. Mpatziakas, S. Papadopoulos, A. Drosou, D. Tzovaras, "A Hypothesis Testing Tool for the Comparison of Different Cyber-Security Mitigation Strategies in IoT", International IOT, Electronics and Mechatronics Conference (IEMTRONICS2021), 2021.
  6. G. Orfanidis, K. Ioannidis, A. Tefas, S. Vrochidis, I. Kompatsiaris, "A modified Single-Shot multibox Detector for beyond Real-Time Object Detection", 25th International Conference on Pattern Recognition, (ICPR 2020), 10 & 15 January 2021, Milan, Italy (accepted for publication).
  7. G. Pavlidis, A. Tsolakis, D. Ioannidis, D. Tzovaras, "Demand Flexibility Estimation Based onHabitual Behaviour and Motif Detection", In the 25th International Conference on Pattern Recognition (ICPR2020), PRAConBE workshop, Milan, Italy, 10 January, 2021 (accepted).
  8. G. Tsamis, I. Kostavelis, D. Giakoumis, D. Tzovaras, "Towards life-long mapping of dynamic environments using temporal persistence modeling", 25th International Conference on Pattern Recognition (ICPR2020), Milan, Italy, January 2021, to Appear
  9. M. K. Yucel, V. Dimaridou, A. Drosou, A. Sa`a-Garriga1, "Real-time Monocular Depth Estimation with Sparse Supervision on Mobile", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW2021), 2021.

Κεφάλαια Βιβλίων

  1. C.P. Escribano, N. Theologou, M. Likar, A. Tryferidis, D. Tzovaras, "Business Models and Use Cases for the IoT", in book “IoT Platforms, Use Cases, Privacy, and Business Models”, C. Zivkovic, Y. Guan, C. Grimm (Eds.), pp. 51-80, Springer, 2021, https://www.springer.com/gp/book/9783030453152
  2. P. Kostelnik, M. Koutli, V. Oravec, "Mastering the IoT with the VICINITY Platform", in book “IoT Platforms, Use Cases, Privacy, and Business Models”, C. Zivkovic, Y. Guan, C. Grimm (Eds.), pp. 185-222, Springer, 2021, https://www.springer.com/gp/book/9783030453152