Ministrante: Dr. Carlos Soares, Universidade do Porto, Portugal
Resumo
Metalearning consists of applying machine learning approaches to obtain models that relate the characteristics of problems with the performance of methods. Despite the potential, the metalearning field is still at an early stage of its development, with many challenges, including problem characterization, metadata collection and application in new areas, such as recommendation systems, streaming data and sensor networks. In this talk we will discuss some of the latest developments regarding these challenges.
CV resumido: Carlos Soares received a B.Sc degree (licenciatura) in Systems Engineering and Informatics from Universidade do Minho, Portugal, an M.Sc. degree in Artificial Intelligence and a Ph.D. in Computer Science from Universidade do Porto, Portugal. After 15 years at the Faculty of Economics, he is now an Associate Professor at the Faculty of Engineering of Universidade do Porto. Carlos also teaches at the Porto Business School (PBS) and he is a postgraduate supervisor at the Universidade de São Paulo (Brazil). Carlos is a researcher at INESC TEC, with interests on Data Mining, Business Intelligence and Evolutionary Computation. He has participated in more than 20 national and international R&ID as well as consulting projects. His collaborations with companies include Farfetch, WeDo, CreativeSystems and Bivolino. Carlos has published/edited several books and more than 100 papers in journals and conferences with proceedings from major publishing houses, of which more than 50 are indexed by ISI. He has participated in the organization of several events, including KDD 2009 and ECML PKDD 2012, and he was one of the programme chairs for ECML PKDD 2015 and IDA 2016. He is currently a member of the Executive Committee of the Department of Informatics Engineering and of the Coordination Committee of the Centre for Enterprise Systems Engineering of INESC TEC. Carlos he is one of the coordinators of the Post-graduate Programme on Business Intelligence & Analytics at PBS. In 2009, he was awarded the Scientific Merit and Excellence Award of the Portuguese AI Association.