31 citations · 151 across the 20 of their papers we have counts for
4 papers · 1 filter
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
David W. Romero, Mark Hoogendoorn
Equivariance is a nice property to have as it produces much more parameter efficient neural architectures and preserves the structure of the input through the feature mapping. Even…
Reinforcement Learning for Personalized Dialogue Management
Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen +1
Language systems have been of great interest to the research community and have recently reached the mass market through various assistant platforms on the web. Reinforcement Learn…
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard
The huge wealth of data in the health domain can be exploited to create models that predict development of health states over time. Temporal learning algorithms are well suited to…
Identifying Patient Groups based on Frequent Patterns of Patient Samples
Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn +1
Grouping patients meaningfully can give insights about the different types of patients, their needs, and the priorities. Finding groups that are meaningful is however very challeng…