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Γλυκερία Σδουκοπούλου, "Ταλαντώσεις συγκεκριμένου συχνοτικού περιεχομένου στη συνδυασμένη ανάλυση HΕΓ/ΜΕΓ. Εφαρμογή σε επιληψία ανθεκτική σε φαρμακευτική αγωγή", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2021
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A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou and M. Zervakis, "A novel one-vs-rest classification framework for mutually supported decisions by independent parallel classifiers," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651468.
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G. A. Klados, K. Politof, E. S. Bei, K. Moirogiorgou, N. Anousakis-Vlachochristou, G. K. Matsopoulos and M. Zervakis, "Machine learning model for predicting CVD risk on NHANES data," in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico, 2021, pp. 1749-1752, doi: 10.1109/EMBC46164.2021.9630119.
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A. Vogiatzis, G. Chalkiadakis, K. Moirogiorgou, G. Livanos, M. Papadogiorgaki and M. Zervakis, "Dual-branch CNN for the identification of recyclable materials," presented at the 2021 IEEE International Conference on Imaging Systems and Techniques (IST), Kaohsiung, Taiwan, 2021, doi: 10.1109/IST50367.2021.9651347.
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Nikolaos-Ioannis Simos, "Non-linear functional connectivity of resting-state fmri data from patients with brain insults: a time-varying analysis", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete , Chania, Greece, 2021
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M. Papadogiorgaki, M. Venianaki, P. Charonyktakis, M. Antonakakis, I. Tsamardinos, M. E. Zervakis and V. Sakkalis, "Heart rate classification using ECG signal processing and machine learning methods," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635462.
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O. Giannakopoulou, P. Toumpaniaris, I. Kouris, K. Moirogiorgou, N. Karanasiou, V. Aisopou, G. Matsopoulos, A. Chandrinou, N. Anousakis-Vlachochristou, F. Psarros, P. Syrigas, V. Karalidou, N. Costaridis, M. Zervakis, and D. Koutsouris, "A platform for health record management of the conscripts in the Hellenic Navy," in Public Health and Informatics, vol. 281, Studies in Health Technology and Informatics, J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, O. S. Chirila, Eds., Amsterdam, The Netherlands: IOS Press, 2021, pp. 362 - 366, doi: 10.3233/SHTI210181.
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K. Kumar-Singh, S. Kumar, M. Antonakakis, K. Moirogiorgou, A. Deep, K. L. Kashyap, M. K. Bajpai, and M. Zervakis, “Deep learning capabilities for the categorization of microcalcification,” Int. J. Environ. Res. Public Health, vol. 19, no. 4, Feb. 2022, doi: 10.3390/ijerph19042159.
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N. G. Bourbakis, K. Michalopoulos, M. Antonakakis and M. Zervakis, “A new multi-resolution approach to EEG brain modeling using local-global graphs and stochastic petri-nets,” Int. J. Neur. Syst., vol. 32, no. 5, May 2022, doi: 10.1142/S012906572250006X.
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K. Moirogiorgou, F. Raptopoulos, G. Livanos, S. Orfanoudakis, M. Papadogiorgaki, M. Zervakis and M. Maniadakis, "Intelligent robotic system for urban waste recycling," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827769.