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David Coster, Shaun de Witt, Iraklis Angelos Klampanos, Marcin Plociennik, Andreas Ikonomopoulos, Frederic Imbeaux, Nathan Cummings, Michal Owsiak, Agata Filipczak, Bartosz Bosak, Stasinos Konstantopoulos, Pär Strand, Towards Making Fusion Data FAIR, In 17th International Conference on eScience, Posters Session, 20-23 September, 2021. [url] [doi]

Marcin Plociennik, Bartosz Bosak, Michal Owsiak, Raul Palma, Shaun de Witt, George Gibbons, Nathan Cummings, Stasinos Konstantopoulos, Iraklis Klampanos, Andreas Ikonomopoulos, Par Strand, David Coster, Frederic Imbeaux, Joan Decker, Yves Martin, Olivier Sauter, Update of the architecture for the implementation of the fusion FAIR data framework, In Short Talks on Data analysis preparation for ITER and Software Tools for ITER diagnostics, at the IAEA Fourth Technical Meeting on Fusion Data Processing, Validation and Analysis, 29 November, 2021. [url]

Michal Owsiak, Stasinos Konstantopoulos, Iraklis A Klampanos, Towards Implementing the FAIR4Fusion Open Data Blueprint, In IAEA Fourth Technical Meeting on Fusion Data Processing, Validation and Analysis, 30 November - 3 December, 2021. [url]

Pagé C., Cerff W., Plieger M., Spinuso A., Klampanos I., Atkinson M., Karkaletsis V., Integrating e-infrastructures for remote climate data processing, In EGU General Assembly 2020, May 4–8, Virtual, 2020. [url] [doi]

Klampanos I., Themeli C., Spinuso A., Filgueira R., Atkinson M., Gemünd A. and Karkaletsis V., DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud, In Journal of Open Source Software, The Open Journal, volume 5, (Pages: 2664), 2020. [pdf] [doi]

Pagé C., Plieger M. Cerff W., Spinuso A., Filgueira R., Atkinson M., Themeli S., Klampanos I., Karkaletsis V., Easy Access to Complex Analysis Tools for Climate Researchers and Climate Data End Users, In AGU Fall Meeting, 1-17 December, Virtual, 2020. [pdf] [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]

Atkinson, Malcolm, Filgueira, Rosa, Klampanos, Iraklis, Koukourikos, Antonis, Krause, Amrey, Magnoni, Federica, Pag'e, Christian, Rietbrock, Andreas and Spinuso, Alessandro, Comprehensible control for researchers and developers facing data challenges, In Proceedings of the 15th IEEE International Conference on eScience (to appear), 2019.

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