Publications
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Advanced rule-based learning University of Antwerp
Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning KU Leuven
Objective: Automated seizure detection is a key aspect of wearable seizure warning systems. As a result, the quality of life of refractory epilepsy patients could be improved. Most state-of-the-art algorithms for heart rate-based seizure detection use a so-called patient-independent approach, which do not take into account patient-specific data during algorithm training. Although such systems are easy to use in practice, they lead to many false ...
Automated file-based quality control : a machine learning approach Ghent University
Feature- versus rule-based generalization in rats, pigeons and humans Vrije Universiteit Brussel Ghent University KU Leuven
Humans can spontaneously create rules that allow them to efficiently generalize what they have learned to novel situations. An enduring question is whether rule-based generalization is uniquely human or whether other animals can also abstract rules and apply them to novel situations. In recent years, there have been a number of high-profile claims that animals such as rats can learn rules. Most of those claims are quite weak because it is ...
Similarity and rules united: Similarity- and rule-based processing in a single neural network Ghent University
A central controversy in cognitive science concerns the roles of rules versus similarity. To gain some leverage on this problem, we propose that rule- versus similarity-based processes can be characterized as extremes in a multidimensional space that is composed of at least two dimensions: the number of features (Pothos, 2005) and the physical presence of features. The transition of similarity- to rule-based processing is conceptualized as a ...
Analyzing the Predictive Performance of Scheduler Pro- cess Models of Rule-based Activity-based Models Hasselt University
Activity-based travel demand modeling systems to date can be classified into two modeling approaches Utility maximization-based econometric model systems, and Rule-based computational process model systems. This dissertation discusses three particular contributions with respect to rule-based computational process models specifically the ALBATROSS (A Learning-based Transportation Oriented Simulation System) models system. The first contribution ...
The usefulness of the Sequence Alignment Methods in validating rule-based activity-based forecasting models Hasselt University
This research paper aims at achieving a better understanding of rule-based activity-based models, by proposing a new level of validation at the process model level in the A Learning-based Transportation Oriented Simulation System (ALBATROSS) model. To that effect, the work activity process model, which includes six decision steps, has been investigated. Each decision step is evaluated during the prediction of the individuals' schedules. There ...
Rule-based explanation methods to gain insight into classification models using behavioral data University of Antwerp
Every step we take in the digital world leaves a record of our behavior; a digital footprint. Think about the pages we visit on the Internet, the songs we listen to on Spotify, or the online purchases we make on Amazon. The recent field of predictive analytics on these data demonstrated that fine-grained digital records of our behavior harbor much potential to improve decision-making in business and society. However, we still face challenges ...