The laboratory apursuesresearch in machine learning, neural networks, statistics, image, text and data mining. Recent research has been related to the generation of semi-artificial data, the analysis of big data with the MapReduce approach, evaluating the reliability of single models’ predictions, text summarisation using archetypal analysis, web-user profiling, applying evolutionary computation to data mining, spatial data mining with multi-level directed graphs, bottom-up inductive logic programming, heuristic search methods in clickstream mining, multi-view learning, mining of heterogeneous networks and e-learning.
Research areas:
Machine learning and artificial intelligence