Automating Data Science: the Next Frontiers

Fair, Effective, and Sustainable Talent Management using Conditional Network Embedding

Formalizing Subjective Interestingness in Exploratory Data Mining

VIrtual GuardIan AngeLs for the post-truth Information Age

A network embedding approach to a fair, efficient and fulfilling job market.

BOF-ZAP professorship in foundations and applications of exploratory data mining

Conditional Knowledge Graph Embedding

Data Mining without Spilling the Beans: Preserving more than Privacy Alone

Digital innovation for man and society

Exploring Data: Theoretical Foundations and Applications to Web, Multimedia, and Omics Data

Personalised, interactive, and visual exploratory mining of patterns in complex data

Run-time adaptive hierarchical neural architectures for representation learning in modular sensor networks

Interactive embedding of high-dimensional data with shape templates

The activation of inactive people: studying thresholds and breakthroughs using AI techniques

BOF-ZAP professorship in foundations and applications of exploratory data mining