Journals (with peer review)

[51]
P. Afsar, P. Cortez and H. Santos. Automatic human trajectory destination prediction from video. In Expert Systems with Applications, Elsevier, In Press, ISSN 0957-4174.

[50]
Insights from a text mining survey on Expert Systems research from 2000 to 2016. P. Cortez, S. Moro, P. Rita, D. King and J. Hall. In Expert Systems, Wiley Publishing Ltd, In Press, ISSN 0266-4720.

[49]
J. Tinoco, A.G. Correia, P. Cortez and D. Toll. A data-driven model for stability condition prediction of soil embankments based on visual data features. In Journal of Computing in Civil Engineering, ASCE, In Press, ISSN 1943-5487.

[48]
S. Moro, P. Cortez, P. Rita. [©Wiley] A divide and conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing. In Expert Systems, Wiley Publishing Ltd, In Press, ISSN 0266-4720.

[47]
J. Tinoco, A.G. Correia, P. Cortez and D. Toll. Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing. [©ASCE] [RepositoriUM] In Journal of Computing in Civil Engineering, ASCE, 32(2):04017088-1-13, 2018, ISSN 1943-5487.

[46]
A. Amado, P. Cortez, P. Rita, S. Moro. Research trends on Big Data in Marketing: a text mining and topic modeling based literature analysis. [©Elsevier] In European Research on Management and Business Economics, Elsevier, 24(1):1-7, January-April 2018, ISSN 2444-8834.

[45]
P. Rita, S. Moro and P. Cortez. A text mining approach to analyzing Annals literature. [©Elsevier] [RepositoriUM] In Annals of Tourism Research, Elsevier, 66:208-2010, September, 2017, ISSN 0160-7383.

[44]
S.O. Oshodi, A.O. Ejohwomu, I.O. Famakin and P. Cortez. Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model. [UTS ePRESS] [RepositoriUM] In Construction Economics and Building, UTS ePRESS, 17(3):109-122, September, 2017, ISSN 2204-9029.

[43]
N. Oliveira, P. Cortez and N. Areal. The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices. [©Elsevier] In Expert Systems with Applications, Elsevier, 73:125-144, May, 2017, ISSN 0957-4174.

[42]
P. Cortez and M.F. Santos. Third special issue on knowledge discovery and business intelligence [©Wiley] [RepositoriUM] [bib] In Expert Systems, Wiley Publishing Ltd, 34(1):e12188, 2 pages (Special issue guest editorial), February, 2017, ISSN 0266-4720.

[41]
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.

[40]
M. Coelho, J. Sena-Cruz, L. Neves, M. Pereira, P. Cortez and T. Miranda. Using data mining algorithms to predict the bond strength of FRP NSM systems in concrete. [©Elsevier] [RepositoriUM] In Construction and Building Materials, Elsevier, 126:484-495, November, 2016, ISSN 0950-0618.

[39]
P. Sousa, V. Pereira, P. Cortez, Miguel Rio and Miguel Rocha. A Framework for Improving Routing Configurations using Multi-Objective Optimization Mechanisms. [©CCIS] [RepositoriUM] In Journal of Communications Software and Systems, Croatian Communications and Information Society (CCIS), 12(3):145-156, September, 2016, ISSN 1845-6421.

[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] [RepositoriUM] 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