We research and develop methods in the field of machine learning. We carry out basic research and apply it in projects with industry and public administration. In addition, we teach basic knowledge, methods and practical applications of machine learning in order to train and promote students.

Our expertise is centered around: Deep Learning, Natural Language Processing, Recommender Systems, Dialogue Systems (Chatbots), Data Mining on Time Series, Learning in Non-Euclidean Spaces, Hyperparameter Optimization, Adaptive Online Convex Optimization, Automated Machine Learning, Data Driven Gamification Design.

Research Topics

Latest Publications