Support to medical diagnosis with classification and data mining techniquesPeople: Loris Nanni (contact person), Carlo Fantozzi, Andrea Pietracaprina, Geppino Pucci

In our aging society the costs for healthcare is skyrocketing. In this scenario, however, ICT may provide the mean both to introduce a new, holistic dimension unifying the concept of reactive healthcare with the one of proactive well-being, and to guarantee an economy of scale. In fact, maintaining healthy life styles from young age may reduce the costsinvolved in care for the elderlies.Our research activities focus on the problems related to memory disfunctions that are typical of the elderlies.

Measurements in dermatology are still largely performed manually. This can introduce errors and subjective bias, and is often prohibitively time consuming. Modern computer vision techniques can be used to perform the same measurements objectively and (more) reproducibly, while dramatically cutting time and costs.

Geomatics is a field of activities referring to the integrated approach of measurement, analysis, management, storage and display of the descriptions and location of spatial data. Geomatics includes a wide range of activities, from the acquisition and analysis of site-specific spatial data to the application of GIS and remote sensing technologies in environmental management. It plays an important role in land administration and land use management.Research activities at DEI concern two important aspects in Geomatics: 

Structured and semi-structured data deal with representation of and efficient access to information by exploiting the explicit structure present within it. In this context, we focus on:

One of the most relevant socio-economic and scientific changes in recent years has been the recognition of data as a valuable asset. The principal driver of this evolution is the Web of Data. The actual paradigm realising the Web of Data is the Linked Open Data (LOD), which by exploiting Web technologies, such as the Resource Framework Description (RDF), allows public data in machine-readable formats to be opened up ready for consumption and re-use.

The research activities of the group focus on innovative interactive visualisation approaches to support machine learning for big data by tackling open research questions in two novel research areas: Interactive Machine Learning (IML) and Visual Analytics (VA). Both areas rely on human knowledge to improve the learning systems. IML focuses on the development of machine learning procedures based on design choices such as selection and creation of the model, definition of evidential features, and the setting of parameters.

Information Retrieval (IR) is concerned with complex systems delivering a variety of key applications to industry and society: Web search engines, (bio)medical search, expertise retrieval systems, intellectual property and patent search, enterprise search, and many others.

The advent of the widespread digitization of cultural heritage collections has significant implications for institutions that hold these types of collections. Both digital preservation and access present challenges for owners of cultural heritage collections. The issues that surround access are complex and far-reaching.