Submitted by zennaro2 on
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.
Submitted by zennaro2 on
Intelligent Interactive Information Access (IIIA) addresses all the areas of data management and engineering, including storage, indexing, querying, search and recommendation, personalisation and user adaptation. IIIA leverages machine learning and neural methods to exploit user interaction signals and provide an intelligent and adaptive experience in seeking for information.
Submitted by zennaro2 on
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:
Submitted by zennaro2 on
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:
Submitted by zennaro2 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.
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
The analysis of modern biological, physical, and biomedical data sets requires advanced computational skills to address the several challenges that arise due to the noisy nature of such data, to the intricate relations among different components the data, and, in many cases, to its sheer size.
We develop, analyze, and use algorithms and computational techniques for processing biological and biomedical datasets, with applications in several areas including: DNA sequencing, RNA sequencing, cancer genomics, metagenomics, proteomics.
Submitted by zennaro2 on
People: Silvana Badaloni (contact person)
