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Nikos Dimitriou (editor), Special Issue: Radio Resource Management for IoT Networks in 5G Environments, In Sensors, MDPI, 2022. [url]

Miguel Ponce-de-Leon, Arnau Montagud, Charilaos Akasiadis, Janina Schreiber, Thaleia Ntiniakou, Alfonso Valencia, Optimizing Dosage-Specific Treatments in a Multi-Scale Model of a Tumor Growth, In Frontiers in Molecular Biosciences, Frontiers Media SA, volume 9, 2022. [url] [doi]

N.Akkari, Nikos Dimitriou, A.Kliks, S.Jondhale (Guest Editors), Mobility Management for 5G/6G Wireless Networks, In Special Issue: Frontiers in Communications and Networks, 2022. [url]

Elias Alevizos, Alexander Artikis, Georgios Paliouras, Complex event forecasting with prediction suffix trees, In VLDB J., volume 31, (Pages: 157–180), 2022. [url] [doi]

Lefteris Loukas, Manos Fergadiotis, Prodromos Malakasiotis, Ilias Chalkidis, Eirini Spyropoulou, Ion Androutsopoulos, Georgios Paliouras, FiNER: Financial Numeric Entity Recognition for XBRL Tagging, In 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 23-25 May, 2022. [url]

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]

Athanasios Davvetas, Iraklis A. Klampanos, Spiros Skiadopoulos, Vangelis Karkaletsis, 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. [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]

Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, 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. [url] [doi]

Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions, In Nucleic Acids Research, Oxford University Press (OUP), 2022. [url] [doi]

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