Ghent University Academic Bibliography

Your filters: cql: keyword exact "model adaptation"

Add to list
- Journal Article
- A2
- open access
A framework for domain-specific dataset creation and adaptation of large language models

George Balaskas, Homer Papadopoulos, Dimitra Pappa, Quentin Loisel and Sebastien Chastin (UGent)

(2025) COMPUTERS. 14(5).
Add to list
- Journal Article
- A1
- open access
Development, validation, and comparison of a novel nociception/anti-nociception monitor against two commercial monitors in general anesthesia

Clara Ionescu (UGent) , Dana Copot (UGent) , Erhan Yumuk (UGent) , Robain De Keyser (UGent) , Cristina Muresan, Isabela Roxana Birs (UGent) , Ghada Ben Othman (UGent) , Hamed Farbakhsh, Amani Rayene Ynineb (UGent) and Martine Neckebroek (UGent)

(2024) SENSORS. 24(7).
Add to list
Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models

Joris Pelemans, Tom Vanallemeersch, Lyan Verwimp, Kris Demuynck (UGent) , Hugo Van hamme and Patrick Wambacq

(2016) International Conference on Acoustics, Speech, and signal processing. p.5985-5989
Add to list
- Conference Paper
- C1
- open access
Robust language recognition via adaptive language factor extraction

Brecht Desplanques, Kris Demuynck (UGent) and Jean-Pierre Martens (UGent)

(2014) 15th Annual Conference of the International Speech Communication Association, Proceedings. p.2160-2164
Add to list
Continuous digit recognition in noise: reservoirs can do an excellent job!

Azarakhsh Jalalvand (UGent) , Fabian Triefenbach (UGent) and Jean-Pierre Martens (UGent)

(2012) 13th Annual conference of the International Speech Communication Association, Proceedings. 1-3. p.1802-1805

Academic Bibliography

A framework for domain-specific dataset creation and adaptation of large language models

Development, validation, and comparison of a novel nociception/anti-nociception monitor against two commercial monitors in general anesthesia

Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models

Robust language recognition via adaptive language factor extraction

Continuous digit recognition in noise: reservoirs can do an excellent job!

Contents

Support

Contact