Paulo Cortez is Associate Professor (with Habilitation) at the Department of Information Systems and Coordinator of the Information Systems and Technologies (IST) research group of ALGORITMI Research Centre, University of Minho (Short CV).

Current research interests:  

1. *Business Intelligence: Decision Support Systems, Data  Mining and Forecasting; 
   

* Artificial Intelligence (AI): Neural Networks, Evolutionary Computation and AI Applications.

Co-author of more than 110 indexed (e.g., ISI, Scopus) publications in international scientific journals and conferences.

N. Oliveira, P. Cortez, N. Areal. Stock market sentiment lexicon acquisition using microblogging data and statistical measures. In Decision Support Systems, Elsevier, 85:62-73, May 2016.

S. Moro, P. Cortez, P. Rita. Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation. In Expert Systems with Applications, Elsevier, 42(3):1314-1324, February, 2015.

S. Moro, P. Cortez, P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. In Decision Support Systems, Elsevier, 62:22-31, June 2014.

J. Peralta Donate and P. Cortez. Evolutionary Optimization of Sparsely Connected and Time-Lagged Neural Networks for Time Series Forecasting. In Applied Soft Computing, Elsevier, 23:432-443, October 2014

P. Cortez and M. Embrechts. Using Sensitivity Analysis and Visualization Techniques to Open Black Box Data Mining Models. In Information Sciences, Elsevier, 225:1-17, March 2013, ISSN 0020-0255.

He co-organized several scientific events such as:

- Machine Learning track of IBERAMIA 2012:

- Knowledge Discovery and Business Intelligence track of EPIA2017; and

- Ubiquitous Data Mining (UDM) of ECAI 2012 and 2010.

Invited lecturer in the Int. Summer School of Neural Networks in Classification, Regression and Data Mining (2008;2010; 2012).

- Vice-president of the Portuguese Association for Artificial Intelligence (APPIA).