Publicaties
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Picture novelty attenuates semantic interference and modulates concomitant neural activity in the anterior cingulate cortex and the locus coeruleus Universiteit Gent
The novelty exploration bonus and its attentional modulation Universiteit Gent
Neural correlates of exemplar novelty processing under different spatial attention conditions Universiteit Gent
From one-class to two-class classification by incorporating expert knowledge : novelty detection in human behaviour Universiteit Gent
Novelty Response of Wild African Apes to Camera Traps Koninklijke Maatschappij voor Dierkunde van Antwerpen
Kalan et al. use a large-scale field experiment to assess the reaction of wild great apes toward a novel object: camera trap devices. Bonobos show the strongest looking impulse and are more neophobic than either gorillas or chimpanzees. Additional social and environmental effects on reactions demonstrate the complexities of animal curiosity.
Measuring technological novelty with patent-based indicators KU Leuven
© 2015 Elsevier B.V. This study provides a new, more comprehensive measurement of technological novelty. Integrating insights from the existing economics and management literature, we characterize inventions ex ante along two dimensions of technological novelty: Novelty in Recombination and Novelty in Knowledge Origins. For the latter dimension we distinguish between Novel Technological and Novel Scientific Origins. For each dimension we propose ...
From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour Vlerick Business School
One-class classification is the standard procedure for novelty detection. Novelty detection aims to identify observations that deviate from a determined normal behaviour. Only instances of one class are known, whereas so called novelties are unlabelled. Traditional novelty detection applies methods from the field of outlier detection. These standard one-class classification approaches have limited performance in many real business cases. The ...
A probabilistic novelty detection methodology based on the order-frequency spectral coherence KU Leuven
© Springer Nature Switzerland AG 2019. The purpose of this paper is to develop a methodology that utilises the order-frequency spectral coherence to detect novel (i.e. unobserved) second-order cyclostationary components. In the novelty detection methodology, a probabilistic model of the healthy data is utilised to detect, localise and trend novelties in the form of damage that manifest as second-order cyclostationary components in vibration ...