| Data augmentation and semi-supervised learning for deep neural networks-based text classifier H Shim, S Luca, D Lowet, B Vanrumste Proceedings of the 35th annual ACM symposium on applied computing, 1119-1126, 2020 | 21 | 2020 |
| Interdisciplinary research unlocking innovative solutions in healthcare D Lepore, K Dolui, O Tomashchuk, H Shim, C Puri, Y Li, N Chen, ... Technovation 120, 102511, 2023 | 18 | 2023 |
| LETS: a label-efficient training scheme for aspect-based sentiment analysis by using a pre-trained language model H Shim, D Lowet, S Luca, B Vanrumste IEEE Access 9, 115563-115578, 2021 | 12 | 2021 |
| Development of VR visualization system including deep learning architecture for improving teleoperability K Cho, K Ko, H Shim, I Jang 2017 14th International Conference on Ubiquitous Robots and Ambient …, 2017 | 8 | 2017 |
| Multi-tasking deep convolutional network architecture design for extracting nonverbal communicative information from a face H Shim, KH Cho, KE Ko, IH Jang, KB Sim Cognitive Systems Research 52, 658-667, 2018 | 5 | 2018 |
| Building blocks of a task-oriented dialogue system in the healthcare domain H Shim, D Lowet, S Luca, B Vanrumste Second Workshop on Natural Language Processing for Medical Conversations …, 2021 | 4 | 2021 |
| Object-human interaction pattern generating system using deep learning H Shim, KE Ko, KB Sim Journal of Institute of Control, Robotics and Systems 23 (5), 317-322, 2017 | 3 | 2017 |
| Development of automatic virtual guidance visualization system for teleoperation using object detection K Cho, K Ko, H Shim, I Jang 2018 15th International Conference on Ubiquitous Robots (UR), 63-66, 2018 | 2 | 2018 |
| Multilingual context-based pronunciation learning for Text-to-Speech G Comini, MS Ribeiro, F Yang, H Shim, J Lorenzo-Trueba arXiv preprint arXiv:2307.16709, 2023 | 1 | 2023 |
| Synthetic data generation and multi-task learning for extracting temporal information from health-related narrative text H Shim, D Lowet, S Luca, B Vanrumste Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021 …, 2021 | 1 | 2021 |
| Intelligent Analyses on Storytelling for Impact Measurement K Kicken, T De Maesschalck, B Vanrumste, T De Keyser, HR Shim Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020 | 1 | 2020 |
| Data-Efficient Methods for Natural Language Processing: Applications in Healthcare HR Shim | | 2023 |
| Data-Efficient Algorithms and Neural Natural Language Processing: Applications in the Healthcare Domain HR Shim Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | | 2022 |
| An exploratory data analysis: the performance differences of a medical code prediction system on different demographic groups H Shim, D Lowet, S Luca, B Vanrumste Proceedings of the 4th Clinical Natural Language Processing Workshop, 93-102, 2022 | | 2022 |
| Development of Conversational AI for Sleep Coaching Programme H Shim Proceedings of the 16th Conference of the European Chapter of the …, 2021 | | 2021 |
| From Free Text to Structured Information in Sleep Description Analysis Using Deep Learning Networks HR Shim, D Lowet, S Luca, B Vanrumste Dutch Bio-Medical Engineering Conference, Location: Egmond aan Zee, the …, 2019 | | 2019 |
| Face Detection and Emotion Classification Using Single Deep Convolutional Network for Facial Emotion Recognition H Shim, KB Sim 제어로봇시스템학회 논문지 25 (1), 49-55, 2019 | | 2019 |
