Ghent University Academic Bibliography

Your filters: cql: keyword exact "unsupervised learning"

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Graph neural network-based energy-efficient optimization for RIS-assisted wireless networks

Bo Yin (UGent) , Jorn Schampheleer (UGent) , Wout Joseph (UGent) and Margot Deruyck (UGent)

(2026) IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 25. p.664-680
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Source-free model transferability assessment for smart surveillance via randomly initialized networks

Wei-Cheng Wang (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2025) SENSORS. 25(13).
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Unsupervised authorship attribution for Medieval Latin using transformer-based embeddings

Loic De Langhe (UGent) , Orphée De Clercq (UGent) and Veronique Hoste (UGent)

(2024) Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024. In COLING ; LREC proceedings p.57-64
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Performance measurement 2.0 : towards a data-driven cyclist specialization evaluation

Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2024) Machine learning and data mining for sports analytics : 10th international workshop, MLSA 2023, Revised selected papers. In Communications in computer and information science 2035. p.179-190
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IoT technology recognition using deep clustering

Hyeongyun Kim, Adnan Shahid (UGent) , Jaron Fontaine (UGent) , Eli De Poorter (UGent) , Ingrid Moerman (UGent) and Haewoon Nam

(2024) IEEE INTERNET OF THINGS JOURNAL. 11(8). p.13372-13382
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KeyCLD : learning constrained Lagrangian dynamics in keypoint coordinates from images

Rembert Daems (UGent) , Jeroen Taets (UGent) , Francis wyffels (UGent) and Guillaume Crevecoeur (UGent)

(2024) NEUROCOMPUTING. 573.
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Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?

S. Franceschini, C. Grelet, J. Leblois, N. Gengler, H. Soyeurt, M. Crowe, N. MeLoughlin, A. Fahey, F. Carter, E. Matthews, et al.

(2022) JOURNAL OF DAIRY SCIENCE. 105(8). p.6760-6772
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Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

Bo Li, Sam Leroux (UGent) and Pieter Simoens (UGent)

(2021) COMPUTER VISION AND IMAGE UNDERSTANDING. 210.
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Discovering human activities from binary data in smart homes

Mohamed Eldib, Wilfried Philips (UGent) and Hamid Aghajan (UGent)

(2020) SENSORS. 20(9).
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Connectome sorting by consensus clustering increases separability in group neuroimaging studies

Javier Rasero, Ibai Diez, Jesus M. Cortes, Daniele Marinazzo (UGent) and Sebastiano Stramaglia

(2019) NETWORK NEUROSCIENCE. 3(2). p.325-343

Academic Bibliography

Graph neural network-based energy-efficient optimization for RIS-assisted wireless networks

Source-free model transferability assessment for smart surveillance via randomly initialized networks

Unsupervised authorship attribution for Medieval Latin using transformer-based embeddings

Performance measurement 2.0 : towards a data-driven cyclist specialization evaluation

IoT technology recognition using deep clustering

KeyCLD : learning constrained Lagrangian dynamics in keypoint coordinates from images

Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video

Discovering human activities from binary data in smart homes

Connectome sorting by consensus clustering increases separability in group neuroimaging studies

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