Publications

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Karyotaki M., Drigas A., Skianis C., The Role of Mobiles and Women in the Sustainable Local Economic Development, In International Journal of Interactive Mobile Technologies (iJIM), International Association of Online Engineering (IAOE), volume 16, (Pages: 111–126), 2022. [url] [doi]

Papoutsi C., Drigas A. and Skianis C., Serious Games for Emotional Intelligence's Skills Development for Inner Balance and Quality of Life-A Literature Review (Juegos serios para el desarrollo de habilidades de la inteligencia emocional para el equilibrio interior y la calidad de vida- Una revisi'on de la literatura), In Retos, Federacion Espanola de Asociaciones de Docentes de Educacion Fisica (FEADEF), volume 46, (Pages: 199–208), 2022. [url] [doi]

Drigas A., Mitsea E. and Skianis C., Metamemory: Metacognitive Strategies for Improved Memory Operations and the Role of VR and Mobiles, In Behavioral Sciences, MDPI AG, volume 12, (Pages: 450), 2022. [url] [doi]

Moraiti I., Fotoglou A. and Drigas A., Coding with Block Programming Languages in Educational Robotics and Mobiles, Improve Problem Solving, Creativity & Critical Thinking Skills, In International Journal of Interactive Mobile Technologies (iJIM), International Association of Online Engineering (IAOE), volume 16, (Pages: 59–78), 2022. [url] [doi]

Georgios Katsimpras, Fotis Aisopos, Peter Garrard, Maria-Esther Vidal, Georgios Paliouras, Improving Early Prognosis of Dementia Using Machine Learning Methods, In ACM Transactions on Computing for Healthcare, Association for Computing Machinery (ACM), volume 3, (Pages: 1–16), 2022. [url] [doi]

Davvetas A., Klampanos I., Skiadopoulos S. and Karkaletsis V., Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes, In ACM Transactions on Knowledge Discovery from Data, Association for Computing Machinery (ACM), volume 16, (Pages: 1–22), 2022. [pdf] [doi]

Christopoulou M., Barmpounakis S., Koumaras H. and Kaloxylos A., Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey, In Vehicular Communications, Elsevier BV, volume 39, (Pages: 100569), 2023. [url] [doi]

Ioannis Manolopoulos, Dimitrios Loukatos, Kimon Kontovasilis, A Versatile MANET Experimentation Platform and Its Evaluation through Experiments on the Performance of Routing Protocols under Diverse Conditions, In Future Internet, MDPI AG, volume 14, (Pages: 154), 2022. [url] [doi]

Konstantakos V., Nentidis A., Krithara A., Paliouras G., CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning, In Nucleic Acids Research, Oxford University Press (OUP), volume 50, (Pages: 3616–3637), 2022. [pdf] [doi]

Nikiforos Alygizakis, Theodoros Giannakopoulos, Nikolaos S. Thomaidis, Jaroslav Slobodnik, Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks, In Science of The Total Environment, Elsevier BV, volume 847, (Pages: 157554), 2022. [url] [doi]

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