Georgoulas, I., Protopapadakis, E., Makantasis, K., Seychell, D., Doulamis, A., & Doulamis, N. (2023). Graph-based semi-supervised learning with tensor embeddings for hyperspectral data classification. https://doi.org/10.1109/ACCESS.2023.3328388
ISO-690 (author-date, English)GEORGOULAS, Ioannis, PROTOPAPADAKIS, Eftychios, MAKANTASIS, Konstantinos, SEYCHELL, Dylan, DOULAMIS, Anastasios und DOULAMIS, Nikolaos, 2023. Graph-based semi-supervised learning with tensor embeddings for hyperspectral data classification. . 1 Januar 2023. DOI 10.1109/ACCESS.2023.3328388.
Modern Language Association 9th editionGeorgoulas, I., E. Protopapadakis, K. Makantasis, D. Seychell, A. Doulamis, und N. Doulamis. Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification. Januar 2023, https://doi.org/10.1109/ACCESS.2023.3328388.
Mohr Siebeck - Recht (Deutsch - Österreich)Georgoulas, Ioannis/Protopapadakis, Eftychios/Makantasis, Konstantinos/Seychell, Dylan/Doulamis, Anastasios/Doulamis, Nikolaos: Graph-based semi-supervised learning with tensor embeddings for hyperspectral data classification, 2023,
Emerald - HarvardGeorgoulas, I., Protopapadakis, E., Makantasis, K., Seychell, D., Doulamis, A. und Doulamis, N. (2023), „Graph-based semi-supervised learning with tensor embeddings for hyperspectral data classification“, verfügbar unter:https://doi.org/10.1109/ACCESS.2023.3328388.