Doctoral project Edith Heiter

Inductive Methods for Dimensionality Reduction and Visualization of Large & Complex Data

Pattern Mining for Understanding Learned Representations

Accelerating Progress in Network Representation Learning: Systematic Evaluations and New Approaches

AI for Detecting and Mitigating Triggers of Cognitive Biases and Heuristics in Media Content

Challenges in E-Recruitment Systems: Algorithms to Restore Balance in Competitive Markets

Conversational AI Explanation Systems

Doctoral project Ahmad Mel

Fairness and Transparancy of AI Systems

Mining Subjectively Interesting Patterns in Rich Data

Modeling Weighted and Temporal Graphs: Methods and Evaluation

Network and Knowledge Graph Embedding: Theory, Methods, and Applications

Opinion Dynamics and Link Prediction in Networks: Models, Data Efficiency, and Robustness

The Communication of Fairness of AI Models and Predictions

AI-driven Knowledge Discovery

Interactive embedding of high-dimensional data with shape templates

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

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