Journals (with peer review)

[39]
C. Rebelo de Sá, C. Soares, A. Knobbe and P. Cortez. Label Ranking Forests. [©Wiley] In Expert Systems, Wiley Publishing Ltd, In Press, ISSN 0266-4720.

[38]
J. Tinoco, A.G. Correia, P. Cortez. Jet Grouting Column Diameter Prediction Based on a Data-Driven Approach. [©Taylor & Francis] In European Journal of Environmental and Civil Engineering, Taylor & Francis, In press, ISSN 1964-8189.

[37]
N. Oliveira, P. Cortez, N. Areal. Stock market sentiment lexicon acquisition using microblogging data and statistical measures. [©Elsevier] [RepositoriUM] [bib] In Decision Support Systems, Elsevier, 85:62-73, May 2016, ISSN 0167-9236.

[36]
S. Moro, P. Cortez, P. Rita. A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features. [©Springer] In Neural Computing and Applications, Springer, In Press, ISSN 0941-0643.

[35]
E. Freitas, J. Tinoco, J. Araújo, P. Cortez and P. Pereira. Modelling tyre-road noise with data mining techniques. [©PAN] [RepositoriUM] In Archives of Acoustics, De Gruyter, 40(4):547-560, 2015, ISSN 0137-5075 (ISI JCR 2014 0.565).

[34]
P. Afsar, P. Cortez, H. Santos. Automatic visual detection of human behavior: a review from 2000 to 2014. [©Elsevier] [RepositoriUM] [bib] In Expert Systems with Applications, Elsevier, 42: 6935-6956, November, 2015, ISSN 0957-4174.

[33]
M. Parente, P. Cortez, A.G. Correia. An evolutionary multi-objective optimization system for earthworks. [©Elsevier] [RepositoriUM] [bib] In Expert Systems with Applications, Elsevier, 42:6674-6685, November, 2015, ISSN 0957-4174.

[32]
A.I. Rifai, S.P. Hadiwardoyo, A.G. Correia, P. Pereira and P. Cortez. The data mining applied for the prediction of highway roughness due to overloaded trucks. [©IJTech] [RepositoriUM] In International Journal of Technology, IJTech, 5:751-761, October, 2015, ISSN 2086-9614.

[31]
P. Cortez and M.F. Santos. Recent advances on knowledge discovery and business intelligence. [©Wiley] [RepositoriUM] [bib] In Expert Systems, Wiley Publishing Ltd, 32(3):433-434 (Special issue guest editorial), June, 2015, ISSN 0266-4720.

[30]
S. Moro, P. Cortez, P. Rita. Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation. [©Elsevier] [RepositoriUM] [bib] In Expert Systems with Applications, Elsevier, 42(3):1314-1324, February, 2015, ISSN 0957-4174.

[29]
S. Moro, P. Cortez, P. Rita. Using Customer Lifetime Value to Improve the Prediction of Bank Deposit Subscription in Telemarketing Campaigns. [©Springer] [RepositoriUM] [bib] In Neural Computing and Applications, Springer, 26(1):131-139, January, 2015, ISSN 0941-0643.
[28]
J. Peralta Donate and P. Cortez. Evolutionary Optimization of Sparsely Connected and Time-Lagged Neural Networks for Time Series Forecasting. [©Elsevier] [RepositoriUM] [bib] In Applied Soft Computing, Elsevier, 23:432-443, October 2014, ISSN 1568-4946.

[27]
R. Laureano, N. Caetano e P. Cortez. Previsão de tempos de internamento num hospital português: aplicação da metodologia CRISP-DM. [©RISTI] [RepositoriUM] [bib] In RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, Associação Ibérica de Sistemas e Tecnologias de Informação - AISTI, 13:83-98, Junho, 2014, ISSN 1646-9895.

[26]
J.M. Llargues Asensio, J. Peralta Donate, R. Arrabales, M. Gonzalez Bedia, P. Cortez and A. Lopez Penã. Artificial Intelligence Approaches for the Generation and Assessment of Believable Human-Like Behaviour in Virtual Characters. [©Elsevier] [RepositoriUM] [bib] In Expert Systems With Applications, Elsevier, 41(16):7281-7290, November, 2014, ISSN 0957-4174.

[25]
P. Cortez and J.Peralta Donate. Global and Decomposition Evolutionary Support Vector Machine Approaches for Time Series Forecasting. [©Springer] [RepositoriUM] [bib] In Neural Computing and Applications, Springer, 25(5):1053-1062, October, 2014, ISSN 0941-0643.

[24]
S. Moro, P. Cortez, P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing. [©Elsevier] [RepositoriUM] [bib] In Decision Support Systems, Elsevier, 62:22-31, June 2014, ISSN 0167-9236.

[23]
J. Tinoco, A.G. Correia, P. Cortez. A Novel Approach to Predicting Young's Modulus of Jet Grouting Laboratory Formulations over Time using Data Mining Techniques. [©Elsevier] [RepositoriUM] [bib] In Engineering Geology, Elsevier, 169:50-60, February 2014, ISSN 0013-7952.

[22]
J. Tinoco, A.G. Correia, P. Cortez. Support Vector Machines Applied to Uniaxial Compressive Strength Prediction of Jet Grouting Columns. [©Elsevier] [RepositoriUM] [bib] In Computers and Geotechnics, Elsevier, 55:132-140, January 2014, ISSN 0266-352X.

[21]
P. Cortez and M.F. Santos. Knowledge Discovery and Business Intelligence. [©Wiley] [RepositoriUM] [bib] In Expert Systems, Wiley Publishing Ltd, 30:4:283-284 (Special issue guest editorial), September 2013, ISSN 0266-4720.

[20]
P. Sousa, P. Cortez, R. Vaz, M. Rocha and M. Rio. EMAIL SPAM DETECTION: A SYMBIOTIC FEATURE SELECTION APPROACH FOSTERED BY EVOLUTIONARY COMPUTATION. [©World Scientific] [RepositoriUM] [bib] In International Journal of Information Technology & Decision Making, World Scientific, 12(4):863-884, July 2013, ISSN 0219-6220.

[19]
A.G. Correia, P. Cortez, J. Tinoco and R. Marques. Artificial Intelligence Applications in Transportations Geotechnics. [©Springer] [RepositoriUM] [bib] In Geotechnical and Geological Engineering, Springer, 31(3):861-879, June 2013, ISSN 0960-3182.

[18]
J. Peralta Donate, P. Cortez, G. Sánchez and A. de Miguel. Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. [©Elsevier] [RepositoriUM] [bib] In Neurocomputing, Elsevier, 109:27-32, June 2013, ISSN 0925-2312.

[17]
M. Stepnicka, P. Cortez, J. Peralta Donate, L. Stepnickova. Forecasting seasonal time series with computational intelligence: on recent methods and the potential of their combinations. [©Elsevier] [RepositoriUM] [bib] In Expert Systems With Applications, Elsevier, 40(6):1981-1922, May 2013, ISSN 0957-4174.

[16]
P. Cortez and M.J. Embrechts. Using Sensitivity Analysis and Visualization Techniques to Open Black Box Data Mining Models. [©Elsevier] [RepositoriUM] [Pre-press (pdf)] [bib] In Information Sciences, Elsevier, 225:1-17, March 2013, ISSN 0020-0255.

[15]
P. Cortez, M. Rio, M. Rocha and P. Sousa. Multi-scale Internet traffic forecasting using neural networks and time series methods. [©Wiley-Blackwell] [pdf] [RepositoriUM] [bib] In Expert Systems, Blackwell Publishing Ltd, 29(2):143-155, May 2012, ISSN 0266-4720.

[14]
C. Lopes, P. Cortez, P. Sousa, M. Rocha and M. Rio. Symbiotic filtering for spam email detection. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Expert Systems With Applications, Elsevier, 38(8):9365-9372, August 2011, ISSN 0957-4174.

[13]
J. Tinoco, A.G. Correia and P. Cortez. Application of Data Mining Techniques in the Estimation of the Uniaxial Compressive Strength of Jet Grouting Columns over Time. [©Elsevier] [RepositoriUM] [bib] In Construction and Building Materials, Elsevier, 25(3):1257-1262, March 2011, ISSN 0950-0618.

[12]
T. Miranda, A.G. Correia, M.F. Santos, L.R. Sousa and P. Cortez. New Models for Strength and Deformability Parameters Calculation in Rock Masses using Data Mining Techniques. [©ASCE] [RepositoriUM] [bib] In International Journal of Geomechanics, ASCE, 11(1):44-58, January/February 2011, ISSN 1532-3641.

[11]
M. Rocha, P. Sousa, P. Cortez and M. Rio. Quality of Service Constrained Routing Optimization using Evolutionary Computation. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Applied Soft Computing, Elsevier, 11:356-364, January 2011, ISSN 1568-4946.

[10]
P. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis. Modeling wine preferences by data mining from physicochemical properties. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Decision Support Systems, Elsevier, 47(4):547-553, 2009, ISSN 0167-9236.

[09]
Á. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Rating Organ Failure via Adverse Events using Data Mining in the Intensive Care Unit. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Artificial Intelligence in Medicine, Elsevier, 43 (3): 179-193, 2008, ISSN 0933-3657.
[08]
M. Rocha, P. Cortez and J. Neves. Evolution of Neural Networks for Classification and Regression. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Neurocomputing, Elsevier, 70 (16-18):2809-2816, October, 2007, ISSN 0925-2312.

[07]
P. Sousa, M. Rocha, M. Rio and P. Cortez. Automatic Provisioning of QoS Aware OSPF Configurations. [Academy] [RepositoriUM] [bib] In Journal of Networks (JNW), Academy Publisher, 2(2):1-10, April, 2007, ISSN 1796-2056.
[06]
P. Cortez, M. Portelinha, S. Rodrigues, V. Cadavez and A. Teixeira. Lamb Meat Quality Assessment by Support Vector Machines. [©Springer] [Pre-press (pdf)] [RepositoriUM] [bib] In Neural Processing Letters, Springer, 24 (1): 41-51, 2006, ISSN 1370-4621.

[05]
Á. Silva, P. Cortez, M.F. Santos, L. Gomes and J. Neves. Mortality assessment in intensive care units via adverse events using artificial neural networks. [©Elsevier] [Pre-press (pdf)] [RepositoriUM] [bib] In Artificial Intelligence in Medicine, Elsevier, 36 (3): 223-234, 2006, ISSN 0933-3657.

[04]
P. Gago, M.F. Santos, Á. Silva, P. Cortez, J. Neves and L. Gomes. INTCare: A Knowledge Discovery based Intelligent Decision Support System for Intensive Care Medicine. [©Lavoisier] [Pre-press (pdf)] [RepositoriUM] [bib] In Journal of Decision Systems, Special issue on ``Design, Building and Evaluation of Intelligent DMSS'', Lavoisier, 14 (3): 241-259, 2005, ISSN 1246-0125.

[03]
P. Cortez, M. Rocha and J. Neves. Evolving Time Series Forecasting ARMA Models. [©Kluwer] [Pre-press (pdf)] [RepositoriUM] [bib] In Journal of Heuristics, Kluwer Academic Publishers, 10 (4): 415-429, The Netherlands, July, 2004, ISSN 1381-1231.

[02]
M. Rocha, P. Cortez and J. Neves. Evolutionary Neural Network Learning Algorithms for Changing Environments. [©WSEAS] [pdf] [RepositoriUM] [bib] In WSEAS Transactions on Systems, WSEAS Press, 3 (2): 596-601, April, 2004, ISSN 1109-2777.

[01]
P. Cortez, M. Rocha and J. Neves. A Lamarckian Approach for Neural Network Training. [©Kluwer] [Pre-press (pdf)] [RepositoriUM] [bib] In Neural Processing Letters, Kluwer Academic Publishers, 15 (2): 105-116, The Netherlands, April, 2002, ISSN 1370-4621.


Publications



Paulo Cortez 2016-08-11