Publications
Chosen filters:
Chosen filters:
Making curation algorithms apparent: a case study of 'Instawareness' as a means to heighten awareness and understanding of Instagram's algorithm Interuniversity Microelectronics Centre Ghent University
Despite the increasing prevalence of curation algorithms on everyday social network sites (SNSs), they often are imperceptible and difficult to become knowledgeable about since little insight in the actual working of these algorithms is given. To address this, we developed an online interface as a visual feedback tool to decrease the ignorance about the Instagram curation algorithm, named 'Instawareness' (https://instawareness.ugent. ben. As ...
Performance of the minimalistic hybrid approach algorithm versus other conventional algorithms in the percutaneous treatment of chronic total occlusions KU Leuven
BACKGROUND: The "Minimalistic Hybrid Approach" (MHA) has been proposed to reduce the invasiveness of chronic total occlusion (CTO) percutaneous coronary intervention (PCI). AIMS: This study aims to assess whether MHA may also reduce the utilization of PCI resources (devices, radiations, and contrast) by comparing it with other conventional algorithms. METHODS: We aimed to assess the impact of MHA on device, radiation, and contrast usage during ...
Studying the influence of algorithmic parameters and instance characteristics on the performance of a multiobjective algorithm using the Promethee method University of Antwerp Hasselt University
A method is proposed to analyze the effect of the algorithmic parameters and instance characteristics on the quality of a Pareto front produced by a multiobjective algorithm. This method is applied to a variable neighborhood tabu search that is used to solve a multiobjective microzone-based vehicle routing problem. Our method can accommodate many different performance indices for Pareto fronts and uses the Promethee multicriteria decision ...
Towards tangible algorithms: Exploring the experiences of tangible interactions with movie recommender algorithms KU Leuven
Artificial Intelligence (AI) supports many of our everyday activities and decisions. However, personalized algorithmic recommendations often produce adverse experiences due to a lack of awareness, control, or transparency. While research has directed solutions on graphical user interfaces (GUIs), there are no explorations of Tangible User Interfaces (TUIs) to improve the experience with such systems, despite the valid existing academic arguments ...
Design and Cryptanalysis of Symmetric Key Algorithms (Ontwerp en cryptanalyse van symmetrische-sleutel algorithms) KU Leuven
This thesis deals with symmetric-key algorithms and more specifically block ciphers and hash functions. The first set of results applies recent cryptanalysis methods (such as boomerang attacks and rebound attacks) to various algorithms. The second topic is the study of the differential probability of AES-like block ciphers for a fixed key. Finally, the design of a new lightweight algorithm is described.Differential cryptanalysis is one of the ...
Breaking the Fourth Wall: Embodied Interfaces for a Better Algorithmic Experience with Recommender Algorithms KU Leuven
Recommender algorithms deal with most of our contemporary culture consumption. Algorithmic Experience (AX) emerges in HCI to guide users' experience with algorithms. To the best of our knowledge, previous work on recommender systems does not consider tangible interfaces to support positive AX and better algorithmic awareness. The ongoing research proposes to expand the design space for the current AX debate by designing an embodied interface ...