23 citations · 23 across the 2 of their papers we have counts for
6 papers
Bias in Automated Image Colorization: Metrics and Error Types
Frank Stapel, Floris Weers, Doina Bucur
We measure the color shifts present in colorized images from the ADE20K dataset, when colorized by the automatic GAN-based DeOldify model. We introduce fine-grained local and regio…
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis, Gertjan Burghouts, Doina Bucur
Humans are good at compositional zero-shot reasoning; someone who has never seen a zebra before could nevertheless recognize one when we tell them it looks like a horse with black…
Top influencers can be identified universally by combining classical centralities
Doina Bucur
Information flow, opinion, and epidemics spread over structured networks. When using individual node centrality indicators to predict which nodes will be among the top influencers…
Fault Trees from Data: Efficient Learning with an Evolutionary Algorithm
Alexis Linard, Doina Bucur, Marielle Stoelinga
Cyber-physical systems come with increasingly complex architectures and failure modes, which complicates the task of obtaining accurate system reliability models. At the same time,…
Beyond ranking nodes: Predicting epidemic outbreak sizes by network centralities
Doina Bucur, Petter Holme
Identifying important nodes for disease spreading is a central topic in network epidemiology. We investigate how well the position of a node, characterized by standard network meas…
Optimizing groups of colluding strong attackers in mobile urban communication networks with evolutionary algorithms
D. Bucur, G. Iacca, M. Gaudesi +2
In novel forms of the Social Internet of Things, any mobile user within communication range may help routing messages for another user in the network. The resulting message deliver…