Where Data Meets Computer Science

Our paper on ‘Convolutional Networks for Appearance Based Recommendation and Visualisation of Mascara Products Machine Vision and Applications’ has been accepted to Machine Vision and Applications journal today.

“Analysing social media as a hybrid tool to detect and interpret likely radical behavioural traits for national security” paper by P. Cardenas-Canto, G. Theodoropoulos, I. Kureshi, and B. Obara and “Temporal neighbourhood aggregation: predicting future links in temporal graphs via recurrent
variational graph convolutions” paper by S. Bonner, A. Atapour-Abarghouei, P. Jackson, J. Brennan, I. Kureshi, G. Theodoropoulos, S. McGough, and B. Obara have been accepted to Human-in-the-loop Methods and Human Machine Collaboration in BigData and Deep Graph Learning: Methodologies and Applications workshops at IEEE International Conference on Big Data. Los Angeles, CA, USA, 2019.

Paper by Ning Jia, Chris Holder, Stephen Bonner and Boguslaw Obara on “Coarse annotation refinement for segmentation of dot-matrix batchcodes” has just been accepted at IEEE International Conference on Machine Learning and Applications conference, Boca Raton, FL, USA, 2019.