Machine Learning

Research Activity:
This research area carries out research in the field of bioinformatics with the aim to develop models of biological systems that enable us to understand how they work and provide ideas for the construction of artificial systems that mimic their behaviour. In particular, the following aspects will be considered: The development of machine learning methods, able to extract information from biological data in the form of intelligible rules that describe the underlying phenomenon. Creation, implementation and testing of mathematical and cognitive models for the comprehension of mechanisms in the “growing up” process. design, development and distributed testing system for multi-agent robotic systems which operate in partially structured environments. Development of analysis and qualitative simulation methods of dynamic models of cell regulation networks, that combine the results of the classical theory of qualitative analysis of dynamic systems with artificial intelligence techniques for the treatment of incomplete knowledge.

Full title:
Machine Learning, Modelling and Growing Up

Project:
INT.P02 / Bioinformatics

Research Area code:
INT.P02.002 / Machine Learning, Modelling and Growing Up

Research Units:

Machine Learning for biological data

Bio-inspired learning

Mathematical models for biological regulation networks

Institute responsible for the Research Area:
Institute of electronics and information engineering and telecomunication (IEIIT)

Institute repsonisble for the Reserch Unit:

Activity start date:
2007

Forseen end date of activity :
2011

Status:
Proposal for continuation

SIGLA code:
7898

Surname:
Muselli