Logic-Based Integrative Causal Discovery with Business Applications

Prof. Tsamardinos talk at LINCS (Laboratory of Information, Networking and Communication Sciences), Paris, France 24/02/2016. Link to the video Abstract: Computational Causal Discovery aims to induce causal models,causal networks, and causal relations from observational data withoutperforming or by performing only few interventions (perbutations,manipulations) of a system. While predictive analytics create models thatpredict customer behavior for […]

MXM participation on the 10th PACBB conference

Giorgos Athineou, MSc student at the Computer Science Department, UOC and member of MXM group presented the paper “SCENERY: a Web-Based Application for Network Reconstruction and Visualization of Cytometry Data.” on the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics that took place in Seville  Spain  1-3 of June 2016.