“Knowledge Evolution and Scientific Breakthroughs Triggered by AI Hallucinations. A Paradigm Shift?”, Anastasia-Maria Leventi-Peetz and Nikolaos Zacharis, Human Interaction and Emerging Technologies (IHIET-FS 2025), Vol. 196, 2025, pp. 76–87
“Predictive Maintenance in Maritime Operations: A Data-Driven Approach for Early Warning Systems”, N. Zacharis, K. Sgarbas, G. Leventakis, P. Savvidis, D. Papachristos, N. Nikitakos, I. Progoulakis, MDPI Oceans, Vol. 7, Issue 4, 2026
«Modeling Biological Multifunctionality with Echo State Networks», Anastasia-Maria Leventi-Peetz, Jörg-Volker Peetz, Kai Weber, Nikolaos Zacharis, 2025, https://doi.org/10.48550/arXiv.2510.23940
“Classification and regression trees (CART) for predictive modeling in blended learning”, N.Z. Zacharis, International Journal of Intelligent Systems and Applications, Vol. 3, No. 10, MECS Press, pp. 1-9, 2018
“Combining Long Division of Polynomials and Exponential Shift Law to Solve Differential Equations”, N.Z.Zacharis, American Journal of Applied Mathematics and Statistics, SciE Publishing, Vol. 5 (1), pp. 1-7, 2017.
“Predicting student academic performance in blended learning using artificial neural networks”, N.Z. Zacharis, International Journal of Artificial Intelligence and Applications (IJAIA), AIRCC Publishing, Vol. 7 (5), pp. 17-29, 2016
“A multivariate approach to predicting student outcomes in web-enabled blended learning courses”, N.Z. Zacharis, Internet and Higher Education, Elsevier, Vol. 27, pp. 44-53, 2015