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Dietwig Lowet
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2020 – today
- 2021
- [j3]Heereen Shim
, Dietwig Lowet, Stijn Luca
LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model. IEEE Access 9: 115563-115578 (2021) - [c6]Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. W-NUT 2021: 260-273 - [c5]Koustabh Dolui, Sam Michiels
Towards Context Aware Adaptive Deployment in ML Applications Using State Machines. DCOSS 2021: 60-62 - 2020
- [c4]Heereen Shim, Stijn Luca
Data augmentation and semi-supervised learning for deep neural networks-based text classifier. SAC 2020: 1119-1126
2010 – 2019
- 2019
- [c3]Koustabh Dolui, Illapha Cuba Gyllensten, Dietwig Lowet, Sam Michiels
Towards Privacy-preserving Mobile Applications with Federated Learning: The Case of Matrix Factorization. MobiSys 2019: 624-625 - 2015
- [j2]Decebal Constantin Mocanu
Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognit. Lett. 66: 100-108 (2015) - 2011
- [c2]Mortaza S. Bargh, Melvin Isken, Dietwig Lowet, Niels Snoeck, Benjamin Hebgen, Henk Eertink:
Sensing, Actuation Triggering and Decision Making for Service Robots Deployed in Smart Homes. AmI 2011: 253-257 - 2010
- [j1]Cristian Hesselman, Daniele Abbadessa, Wouter Van Der Beek, Daniel Görgen, Keir Shepherd, Sander Smit, Mark Gülbahar, Ishan Vaishnavi, Josip Zoric, Dietwig Lowet, Robert de Groote, John O'Connell, Oliver Friedrich:
Sharing enriched multimedia experiences across heterogeneous network infrastructures. IEEE Commun. Mag. 48(6): 54-65 (2010)
2000 – 2009
- 2009
- [c1]Dietwig Lowet, Daniel Görgen:
Co-browsing dynamic web pages. WWW 2009: 941-950
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