Projects
Declarative modeling for machine learning and data mining. KU Leuven
An overarching declarative framework for robotics programming KU Leuven
In the field of robotics programming the same three languages, C, C++ and Python continue to dominate. The aforementioned languages have their benefits: the combo C and C++ for their efficient low-level features; and Python for its low learning curve and its acceptance in non-expert computer scientists and in fields outside of robotics. But more importantly, they have their disadvantages: C and C++ are notoriously error-prone, and the ...
Declarative experimentation for machine learning. KU Leuven
Studies on declarative process modeling and its relation to procedural techniques. KU Leuven
The challenging task of managing business processes has become an even more complex endeavor as companies are required to sustain flexible and agile business practices. Process management research has proposed numerous ways of accommodating for this need for flexibility. The declarative process modeling paradigm, with its shifts towards a constraint-based way of approaching process behavior, is a prime example. The downside of numerous ...
A declarative framework for clustering. KU Leuven
One of the key tools to gain knowledge from data is clustering: identifying groups of instances that are highly similar. In the traditional unsupervised clustering process, a practitioner needs to select a suitable distance measure, clustering algorithm, and corresponding hyperparameter settings to arrive at a satisfactory clustering. Making the right choices for these components is hard, and as a result a practitioner often performs many ...
Declarative methods in computer science Hasselt University
DECIDER PRO: Decision-Centric Declarative Process Development KU Leuven
Unlike procedural processes, knowledge-intensive processes are less structured, and dependent on the decisions and the actions of knowledge workers. Typical knowledge-intensive processes are healthcare processes and clinical pathways. Capturing these processes in a procedural and structured process model fails to provide the required flexibility inherent to the decisions made and the actions performed by the knowledge workers. Declarative ...
Towards Declarative Statistical Inference KU Leuven
Wide-ranging digitalization has made it possible to capture increasingly larger amounts of data. In order to transform this raw data into meaningful insights, data analytics and statistical inference techniques are essential. However, while it is expected that a researcher is an expert in their own field, it is not self-evident that they are also proficient in statistics. In fact, it is known that statistical inference is a labor-intensive ...
Co-evolution of Knowledge Bases: Languages and Tools KU Leuven
Useful domain knowledge resides in the heads of key employees, but it remains to a large extent tacit. Storing this knowledge explicitly in a so-called knowledge base (KB) has many advantages. However, the process of building a KB by having a knowledge engineer repeatedly interview the domain experts, is slow and costly. To alleviate this, we envision a co-evolution process where the domain expert and knowledge engineer co-create the KB ...