Projects
Extending Automatic Algorithm Selection to the Online Setting KU Leuven
The goal of this PhD is to extend the methodology of automatic algorithm selection to the online setting. The goal of automatic algorithm selection is to automatically select the best algorithm to solve a problem with. This field of research is motivated by the observation that for many problems in artificial intelligence and operations research no clear best algorithm exists. Rather, each algorithm performs well on some of the problem ...
Modeling complex business perceptions using Fuzzy Cognitive Maps Hasselt University
Fine-Grained Sentiment and Opinion Mining of Political Social Network Messages University of Antwerp
Text analytics web services for profiling and opinion mining. University of Antwerp
Bootstrapping operations in language acquisition: a computational psycholinguistic approach. University of Antwerp
A Scalable, Distributed Infrastructure for Probabilistic Databases. University of Antwerp
Smart chips: embedding machine learning at circuit level. 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 ...