João Gama
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
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
Current Activities
- 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 2012.
- Workshop chair Ubiquitous Data Mining @ ECAI.
Students:
- Raquel Sebastiao, University of Porto
- Carlos Ferreira, University of Porto
- Petr Kosina, Masaryk University, Czech Republic
- Marcia Oliveira, 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
João Gama, June 1, 2004