Publications

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17 result(s)

A. Tsolis, S. Lampiris, V. Vlachodimitropoulos, F. Lazarakis and A. A. Alexandridis, Strut Analysis and Effect on Performance of Cassegrain Reflector Antennas at mm-Wave D-band, In 2023 17th European Conference on Antennas and Propagation (EuCAP), IEEE, 2023. [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]

Lampiris Stefanos, Vlachodimitropoulos Vasileios, Tsolis Aris, Alexandridis Antonis, Comparative study of struts' geometry and material in reflector antennas, In 2022 16th European Conference on Antennas and Propagation (EuCAP), IEEE, 2022. [url] [doi]

Tsolis A., Vlachodimitropoulos V., Lampiris S., Lazarakis F. & Alexandridis A.A, Link Budget Analysis for Line of Sight Communications in D-band: Radio Coverage vs. Antenna Gain, In 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), IEEE, 2022. [pdf] [doi]

Dimitris V. Politikos, Elias Fakiris, Athanasios Davvetas, Iraklis A. Klampanos, George Papatheodorou, Automatic detection of seafloor marine litter using towed camera images and deep learning, In Marine Pollution Bulletin, Elsevier BV, volume 164, (Pages: 111974), 2021. [url] [doi]

Klampanos I., Davvetas A., Koukourikos A. and Karkaletsis V., ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training, In International Journal of Metadata, Semantics and Ontologies (IJMSO), Inderscience, volume 13, (Pages: 179–190), 2019. [url] [doi]

Athanasios Davvetas, Iraklis A. Klampanos, Spiros Skiadopoulos, Vangelis Karkaletsis, The Effect of Evidence Transfer on Latent Feature Relevance for Clustering, In Informatics, MDPI, volume 6, (Pages: 17), 2019. [url] [doi]

Davvetas A., Klampanos I., Karkaletsis V., Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence, In International Joint Conference on Neural Networks (IJCNN) 2019, Budapest, Hungary, July 14-19, (Pages: 1–8), 2019. [pdf] [doi]

Magnoni F., Casarotti E., Harris P. A., Lindner M., Rietbrock A., Klampanos I., Davvetas A., Spinuso A., Filgueira R., Krause A., Gemund A., Atkinson M. and Karkaletsis V., DARE to Perform Seismological Workflows, In AGU Fall Meeting 2019, San Fransisco, USA, December 9-13, (Pages: IN13C–0726), 2019. [url]

Klampanos I., Davvetas A., Gemund A., Atkinson M, Koukourikos A., Filgueira R., Krause A., Spinuso A., Charalambidis A., Magnoni F., Casarotti E., Page C., Lindner M., Ikonomopoulos A. and Karkaletsis V., DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud, In 15th International Conference on eScience (eScience) 2019, San Diego, CA, USA, September 24-27, (Pages: 578–585), 2019. [pdf] [doi]

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