Crochet
Some of the crochet stuff I made
Some of the crochet stuff I made
MSc Dissertation
Published in ICT4AWE, 2022
Recommended citation: Peretokin, V.; Basdekis, I.; Kouris, I.; Maggesi, J.; Sicuranza, M.; Su, Q.; Acebes, A.; Bucur, A.; Mukkala, V.; Pozdniakov, K.; Kloukinas, C.; Koutsouris, D.; Iliadou, E.; Leontsinis, I.; Gallo, L.; De Pietro, G. and Spanoudakis, G. (2022). "Overview of the SMART-BEAR Technical Infrastructure." In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE. Pages 117-125. https://www.scitepress.org/Link.aspx?doi=10.5220/0011082700003188
Published in Frontier Neurology, 2022
Recommended citation: Iliadou, E., Su, Q., Kikidis, D., Bibas, T. and Kloukinas, C. (2022) "Profiling hearing aid users through big data explainable artificial intelligence techniques." Frontiers in Neurology, 13. https://www.frontiersin.org/articles/10.3389/fneur.2022.933940/full
Published in SITIS, 2022
Recommended citation: Su, Q. and Iliadou, E.(2022). "Predicting and Explaining Hearing Aid Usage Using Encoder-Decoder with Attention Mechanism and SHAP." In 2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) (pp. 308-315). IEEE Computer Society. https://ieeexplore.ieee.org/abstract/document/10090071
Published in Springer Nature Switzerland, 2023
Recommended citation: Su, Q.; Peretokin, V.; Basdekis, I.; Kouris, I.; Maggesi, J.; Sicuranza, M.; Acebes, A.; Bucur, A.; Mukkala, V.; Pozdniakov, K.; Kloukinas, C.; Koutsouris, D.; Iliadou, E.; Leontsinis, I.; Gallo, L.; De Pietro, G. and Spanoudakis (2023) "The SMART BEAR Project: An Overview of Its Infrastructure." Information and Communication Technologies for Ageing Well and e-Health. ICT4AWE ICT4AWE 2021 2022. Communications in Computer and Information Science, vol 1856. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-37496-8_21
Published in IJCNN, 2024
Recommended citation: Su, Q.; Kloukinas, C.; Garcez, A (2024) "FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series." arxiv.org/abs/2311.16834 https://arxiv.org/abs/2311.16834