João Gama

Associate Professor

Laboratory of Artificial Intelligence and Decision Support,
and Faculty of Economics,
University of Porto
Porto, Portugal

I'm a researcher at LIAAD - INESC Porto, the Laboratory of Artificial Intelligence and Decision Support of the University of Porto.

Scientific interests are:

• Machine Learning
• Learning from Data Streams
• Ensembles of Classifiers
• Constructive Induction
• Probabilistic Reasoning

Publications at DBLP

Google Scholar

Recent Books

Extração de Conhecimento de Dados J. Gama, A. Carvalho, C. Lorena, K. Faceli, M. Oliveira (2012), Silabo
Knowledge Discovery from Data Streams J. Gama (2010), Chapman & Hall/CRC Press
Knowledge Discovery from Sensor Data Gaber, Vatsavai, Omitaomu, Gama, Chawla, Ganguly (Eds) (2010), Springer.
Learning from Data Streams -- Processing Techniques in Sensor Networks J. Gama, M. Gaber (Eds) (2007), Springer.

Current Projects

• Knowledge Discovery from Ubiquitous Data Streams (PTDC/EIA/098355/2008)

Current Activities

• Invited Speaker International Conference on Intelligence Science and Big Data Engineering, Beijing 2013
• Workshop chair Ubiquitous Data Mining @ IJCAI 2013
• Invited Speaker 100 Years of Alan Turing and 20 years of SLAIS, Slovenia, 2012
• Lecturer Resource-aware Machine Learning - International Summer School 2012
• Invited Speaker 36th Annual Conference of the German Classification Society
• Keynote Speaker From Data to Knowledge: Machine Learning with Real-time and Streaming Applications
• Conference chair Intelligent Data Analysis 2011
• Track chair Data Streams Track @ ACM SAC 2013

Students:

• Raquel Sebastiao, University of Porto
• Carlos Ferreira, University of Porto
• Petr Kosina, Masaryk University, Czech Republic
• Marcia Oliveira, University of Porto
• Luis Matias, University of Porto

Former Students:

• Elena Ikonomovska, Josef Stefan Institute, Slovenia
• Gladys Castillo, University of Aveiro
• Eduardo Spinosa, University of Parana, Brasil
• Pedro Pereira Rodrigues, University of Porto

Member of the Editorial Board: Machine Learning Journal, Data Mining and Knowledge Discovery, Intelligent Data Analysis and New Generation Computing

Member of APPIA (Associacao Portuguesa para a Inteligencia Artificial), IEEE, SIGAPP and SIGKDD

Email: jgama@fep.up.pt
Contact:

LIAAD-INESC Porto, Rua Dr. Roberto Frias, 378
4200-378 Porto, Portugal
Phone : (+351) 222 094 000
Fax : (+351) 222 094 050