We are actively involved in several research areas related to machine learning, applications to bioinformatics, and algorithms for document image recognition and document engineering. Specific topics of interest include:
The laboratory was founded in 1988 by Prof. Giovanni Soda and over the years has hosted the activities of more than 25 academic staff, researchers, and graduate students.
We are interested in algorithms, architectures, and languages for learning with structured and relational data, using logical representations, kernel methods, neural networks, and probabilistic models.
We have been applying machine learning algorithm to the prediction of protein structure and function, and to the prediction of the activity of chemical compounds.
We work on information extraction from both scanned and digital-born documents, with a recent emphasis on the conversion of scientific and technical documents to formats for eBook readers.