基本信息
浏览量:133
职业迁徙
个人简介
Besides sequence modeling with neural networks, I'm particularly interested in combining knowledge and neural network models. During a research visit in 2016 at UCL NLP lab at the University College London, I worked on injecting first-order logic into neural link prediction models. Together with the DTAI research group at KULeuven, I have been working on the combination of neural networks and probabilistic logic programs. These research topics fit within my general interest in joining deep learning models with systems better suited to reason.
Since I'm interested in AI in general, I'm having fun with a couple of side tracks. In combining my deep learning experience with my electrical engineering background, I worked on system identification from unequally spaced time series. Some new work is coming up on time series in the clinical domain, using techniques from complexity science. Also in the clinical domain, we came across some consistent misuse of data augmentation techniques, and tried to explain the issues to the medical AI community in this work.
Since I'm interested in AI in general, I'm having fun with a couple of side tracks. In combining my deep learning experience with my electrical engineering background, I worked on system identification from unequally spaced time series. Some new work is coming up on time series in the clinical domain, using techniques from complexity science. Also in the clinical domain, we came across some consistent misuse of data augmentation techniques, and tried to explain the issues to the medical AI community in this work.
研究兴趣
论文共 148 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
引用0浏览0EI引用
0
0
Applied Intelligenceno. 2 (2024): 1474-1496
IEEE/ACM International Conference on Human-Robot Interactionpp.1080-1084, (2024)
BioPsychoSocial Medicineno. 1 (2024): 1-21
Applied Intelligencepp.1-28, (2024)
arxiv(2024)
引用0浏览0引用
0
0
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2024)
Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet,Johan Decruyenaere,Stijn Vansteelandt,Thomas Demeester
CoRR (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn