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Machine learning via multimodal signal processing., , and . MOCAST, page 1-4. IEEE, (2017)Αλληλεπίδραση ανθρώπου - υπολογιστή για την μετάδοση γνώσης με αξιοποίηση μηχανικής μάθησης και αισθητηριοκινητικών τεχνικών σε πολυτροπικό σήμα».: πεδίο εφαρμογής: Βυζαντινή μουσική. University of Macedonia, Greece, (2017)National Archive of PhD Theses: oai:10442/44478.Optimizing Human Computer Interaction for Byzantine music learning: Comparing HMMs with RDFs., , and . MOCAST, page 1-4. IEEE, (2020)Error prooving and sensorimotor feedback for singing voice., , and . MOCO, page 32:1-32:4. ACM, (2016)An empirical comparison of machine learning techniques for chant classification., , , and . MOCAST, page 1-4. IEEE, (2018)Investigating the Relationship of User Acceptance to the Characteristics and Performance of an Educational Software in Byzantine Music., , , , and . Inf., 14 (10): 568 (2023)Greek Orthodox Church Hymns Recognition Using Deep Learning Techniques., , , , , , , and . MOCAST, page 1-3. IEEE, (2023)Ensemble Learning Technique for Artificial Intelligence Assisted IVF Applications., , , , , , , and . MOCAST, page 1-4. IEEE, (2023)