???global.info.a_carregar???
Paulo Cortez is Full Professor at the Department of Information Systems, University of Minho. He is also assistant director of the ALGORITMI R&D centre. His research interests are: Business Analytics, Data Science, Decision Support Systems, Neural Networks and Machine Learning, Evolutionary Algorithms and Artificial Intelligence Applications. He is co-author of more than 211 indexed (e.g., ISI, Scopus) publications in international peer reviewed journals (e.g., Journal of Heuristics, Decision Support Systems, Neurocomputing, Information Sciences, Information Processing & Management) and conferences (e.g., IEEE IJCNN, ACM GECCO). He is author of the rminer R package and he also has written the book "Modern Optimization with R", Springer, 2021. Currently, he has more than 13K Google Scholar citations (h-index of 46) and 5700 Scopus citations (without self-citations, h-index of 32). He he has participated in more than 36 R&D projects and has supervised 6 Postdoctoral works, 16 PhD thesis, 60 MSc thesis and 18 BSc final graduation projects in the area of Intelligent Data Analysis. He is Associate Editor of the journals Decision Support Systems (ranked A* at CORE, JCR Q1), Expert Systems (JCR Q2) and Data Science and Analytics (JCR Q2), and was formerly Associate Editor of Neural Processing Letters (JCR Q2). From 2012 to 2015, he was Vice-president of the Portuguese Association for Artificial Intelligence (www.appia.pt). He was also evaluator of 96 R&D project proposals and reports from the Scientific National entities of Canada, Cyprus, France, Israel, Italy, Kazakhstan, Poland, Portugal, Romania and The Netherlands. He has been a regular reviewer of ISI JCR journals such as: IEEE Trans. Neural Networks and Learning Systems, Information Sciences, Decision Support Systems, Data & Knowledge Engineering, Machine Learning, Applied Soft Computing, Neurocomputing, and Knowledge and Information Systems. Moreover, he has been Program Committee/Reviewer of 227 int. conferences/workshops, such as: IJCAI 2023 (CORE A*), VLDB 2018 (CORE A*) and ICONIP 2017 (CORE A). From 2018 to 2023, he was considered a top 2% world influential researcher in the area of Artificial Intelligence and Information Technology, according to the list versions 1 to 6 of the known Stanford PLOS Biology study.
Identificação

Identificação pessoal

Nome completo
PAULO ALEXANDRE RIBEIRO CORTEZ

Nomes de citação

  • Cortez, Paulo

Identificadores de autor

Ciência ID
6E19-EB4D-C22E
ORCID iD
0000-0002-7991-2090
Google Scholar ID
https://scholar.google.com/citations?hl=en&user=fQ42U-8AAAAJ
Researcher Id
A-2674-2008
Scopus Author Id
7003574407

Websites

Domínios de atuação

  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Informação
  • Ciências Exatas - Ciências da Computação e da Informação
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Informação
  • Ciências Exatas - Ciências da Computação e da Informação - Ciências da Computação
  • Ciências Exatas - Ciências da Computação e da Informação

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Formação
Grau Classificação
2013
Concluído
Habilitation in Technologies and Information Systems (Título de Agregado)
Universidade do Minho Escola de Engenharia, Portugal
"Knowledge Extraction from Black Box Data Mining Models Using Sensitivity Analysis and Visualization Techniques" (TESE/DISSERTAÇÃO)
Approved unanimously (highest grade)
2002
Concluído
PhD in Computer Science - Specialization in Artificial Intelligence (Doutoramento)
Universidade do Minho Escola de Engenharia, Portugal
"Bio-Inspired Approaches for Time Series Forecasting" (TESE/DISSERTAÇÃO)
Approved unanimously (highest grade), External ref
1998
Concluído
Master in Computer Science - Specialization in Information Systems (Mestrado)
Universidade do Minho Escola de Engenharia, Portugal
"Neural Networks and Genetic Algorithms for Time Series Forecasting" (TESE/DISSERTAÇÃO)
Very good (highest grade)
1995
Concluído
Systems and Computer Science Engineering (5-year degree, Eng. Sistemas e Informática) (Licenciatura)
Universidade do Minho Escola de Engenharia, Portugal
"Time Series Forecasting in a Distributed Environment" (TESE/DISSERTAÇÃO)
80% (16 "valores", Very Good)
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2021/08 - Atual Professor Catedrático (Docente Universitário) Universidade do Minho - Campus de Azurém, Portugal
Universidade do Minho - Campus de Azurém, Portugal
2010/11 - 2021/08 Professor Associado (Docente Universitário) Universidade do Minho, Portugal
Universidade do Minho - Campus de Azurém, Portugal
2013 - 2014 Professor Associado (Docente Universitário) ISCTE-Instituto Universitário de Lisboa, Portugal
2006/10 - 2010/10 Professor Auxiliar (Docente Universitário) Universidade do Minho, Portugal

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2001/10 - 2006/09 Invited Lecturer Universidade do Minho, Portugal
1997/12 - 2001/09 FCT PhD Grant Universidade do Minho, Portugal
1995/09 - 1997/11 FCT MSc Grant Universidade do Minho, Portugal
Projetos

Bolsa

Designação Financiadores
2013/06 - 2015/05 INTCARE II - Intelligent Decision Support System for Intensive Care
Investigador
Universidade de Coimbra
2008/01 - 2012/01 INTCARE - Intelligent Decision Support System for Intensive Care
Investigador
Universidade de Coimbra
2005/07 - 2008/06 MOBioPro-Nature-based computation in the modeling and optimization of biotechnological processes
Investigador
Universidade de Coimbra

Projeto

Designação Financiadores
2022/01/01 - 2025/12/31 Be.Neutral - Projet nº 26
n26, id 33350
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Agência para a Competitividade e Inovação IP
Em curso
2021/07 - 2024/06 FemWebAI Integrated approach for reliable and advanced analysis and design of sustainable construction systems in fibre reinforced concrete
PTDC/ECI-EST/6300/2020
Investigador
Instituto para a Sustentabilidade e Inovação em Engenharia Estrutural, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2021/06 - 2024/01 ADM.IN - Advanced Decision Making in productive systems through Intelligent Networks
55087
Investigador
Universidade do Minho - Campus de Azurém, Portugal
Concluído
2021/01 - 2023/12 PPC4.0 - Production Plan Controller 4.0
69803, Aviso 17/SI/2019
Investigador
2021/01 - 2023/06 Soluções Integradas e Inovadoras para o bem-estar das pessoas nos centros urbanos complexos
NORTE-01-0145-FEDER-000086
Investigador
Universidade do Minho - Campus de Azurém, Portugal
Concluído
2021/01 - 2023/06 NeWeSt - New generation of cyberphysical Weighing Systems
69716, SI IDT
Investigador
Universidade do Minho - Campus de Azurém, Portugal
Concluído
2019 - 2022 ProChild CoLAB Against Poverty and Social Exclusion Collab
Prochild collab
Investigador
Centro de Computação Gráfica, Portugal
Fundação para a Ciência e a Tecnologia
2018 - 2022 Digital Transformation CoLab - Experiencing the Future - DTx
DTx collab
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Fundação para a Ciência e a Tecnologia
2019/01 - 2021/12 ICDS4IM - Intelligent Clinical Decision Support for Intensive Medicine
DSAIPA/DS/0084/2018
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Fundação para a Ciência e a Tecnologia
Em curso
2018/07 - 2021/12 Detection of anomalies from fusion of multiple sensors (P31)
nº 039334, COMPETE 2020
Investigador responsável
Universidade do Minho Centro ALGORITMI, Portugal
Em curso
2018/07 - 2021/12 Artificial Intelligence for Business Processes (FOF.BI.57)
nº 039479, COMPETE 2020
Investigador responsável
Universidade do Minho Centro ALGORITMI, Portugal
Em curso
2017/10 - 2020/09 Analytical Laboratories 4.0
project 2: Intelligent Analytical Laboratories
Investigador responsável
Centro de Computação Gráfica, Portugal
Em curso
2017/07 - 2020/06 TexBoost - Less Commodities more Specialities
nº 24523
Investigador responsável
Centro de Computação Gráfica, Portugal
Agência Nacional de Inovação SA
Em curso
2016 - 2019 PROMOS - Prediction and optimization of advertising campaigns for Mobile devices via a Subscription model
NORTE-01-0247-FEDER-017497
Investigador responsável
Universidade do Minho Centro ALGORITMI, Portugal
Agência Nacional de Inovação SA
Concluído
2011/09 - 2014/01 SIDIC - Integrated System for the Detection and Identification of Behaviors and Biometric Data by Analysis
Nº 21584, Concurso 03/SI/2011
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Agência Nacional de Inovação SA
Concluído
2008/01 - 2010/12 SPAM Telescope Miner: worldwide unsolicited email detection using data mining techniques
Investigador responsável
Universidade do Minho Centro ALGORITMI, Portugal
Fundação para a Ciência e a Tecnologia
Concluído
2005/04 - 2006/04 Internet Congestion Control Using Neural Networks
B-53/05
Investigador responsável
Universidade do Minho Centro ALGORITMI, Portugal
Concluído
2003/10 - 2005/02 Simulation of Intelligent Agents for Robocup
POSI/ROBO/43904/2002
Investigador
Universidade do Minho Centro ALGORITMI, Portugal
Concluído
2001/01 - 2002/12 A Web-based Information System for the Law
POSI/EEI/13096/2000
Universidade do Minho Centro ALGORITMI, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Pedro José Pereira; Carlos Gonçalves; Lara Lopes Nunes; Paulo Cortez; André Pilastri. "AI4CITY - An Automated Machine Learning Platform for Smart Cities". 2023.
    10.1145/3555776.3578740
  2. Ferreira, L.; Silva, L.; Pinho, D.; Morais, F.; Martins, C.M.; Pires, P.M.; Fidalgo, P.; et al. "A federated machine learning approach to detect international revenue share fraud on the 5G edge". 2022.
    10.1145/3477314.3507322
  3. Fernandes, C.; Matos, L.M.; Folgado, D.; Nunes, M.L.; Pereira, J.R.; Pilastri, A.; Cortez, P.. "A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors". 2022.
    10.1109/IJCNN55064.2022.9892409
  4. Azevedo, J.; Ribeiro, R.; Matos, L.M.; Sousa, R.; Silva, J.P.; Pilastri, A.; Cortez, P.. "Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach". 2022.
    10.1016/j.procs.2022.09.289
  5. Ferreira, L.; Pilastri, A.; Martins, C.M.; Pires, P.M.; Cortez, P.. "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost". 2021.
    10.1109/IJCNN52387.2021.9534091
  6. Pereira, P.J.; Coelho, G.; Ribeiro, A.; Matos, L.M.; Nunes, E.C.; Ferreira, A.; Pilastri, A.; Cortez, P.. "Using deep autoencoders for in-vehicle audio anomaly detection". 2021.
    10.1016/j.procs.2021.08.031
  7. Ribeiro, R.; Pilastri, A.; Moura, C.; Rodrigues, F.; Rocha, R.; Cortez, P.. "Predicting the tear strength of woven fabrics via automated machine learning: An application of the CRISP-DM methodology". 2020.
  8. Ferreira, L.; Pilastri, A.; Martins, C.; Santos, P.; Cortez, P.. "An automated and distributed machine learning framework for telecommunications risk management". 2020.
  9. Fernandes, G.; Oliveira, N.; Cortez, P.; Mendes, R.. "A realistic scooter rebalancing system via metaheuristics". 2020.
    10.1145/3377929.3389905
  10. Tinoco, J.; Gomes Correia, A.; Cortez, P.; Toll, D.. "Combining Artificial Neural Networks and Genetic Algorithms for Rock Cuttings Slopes Stability Condition Identification". 2019.
    10.1007/978-3-030-32029-4_18
  11. Matos, L.M.; Cortez, P.; Mendes, R.; Moreau, A.. "Using Deep Learning for Mobile Marketing User Conversion Prediction". 2019.
    10.1109/IJCNN.2019.8851888
  12. Pereira, P.J.; Pinto, P.; Mendes, R.; Cortez, P.; Moreau, A.. "Using Neuroevolution for Predicting Mobile Marketing Conversion". 2019.
    10.1007/978-3-030-30244-3_31
  13. Tinoco, J.; Correia, A.G.; Cortez, P.; Toll, D.. "Artificial neural networks for soil embankments stability condition identification,Réseaux de neurones artificiels pour l'identification des conditions de stabilité des remblais de sol". 2019.
    10.32075/17ECSMGE-2019-0605
  14. Silva, S.; Cortez, P.; Mendes, R.; Pereira, P.J.; Matos, L.M.; Garcia, L.. "A Categorical Clustering of Publishers for Mobile Performance Marketing". 2018.
    10.1007/978-3-319-94120-2_14
  15. Nova, D.; Ferreira, A.; Cortez, P.. "A Machine Learning Approach to Detect Violent Behaviour from Video". 2018.
    10.1007/978-3-030-16447-8_9
  16. Matos, L.M.; Cortez, P.; Mendes, R.; Moreau, A.. "A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction". 2018.
    10.1109/IS.2018.8710472
  17. Gonçalves, S.; Cortez, P.; Moro, S.. "A deep learning approach for sentence classification of scientific abstracts". 2018.
    10.1007/978-3-030-01424-7_47
  18. Tinoco, J.; Correia, A.G.; Cortez, P.; Toll, D.. "Data-driven classification approaches for stability condition prediction of soil cutting slopes". 2017.
  19. Afsar, P.; Cortez, P.; Santos, H.. "Human skeleton detection from semi-constrained environment video". 2017.
  20. Hamdi; Hadiwardoyo, S.P.; Correia, A.G.; Pereira, P.; Cortez, P.. "Prediction of surface distress using neural networks". 2017.
    10.1063/1.4985502
  21. Pereira, P.J.; Cortez, P.; Mendes, R.. "Multi-objective learning of neural network time series prediction intervals". 2017.
    10.1007/978-3-319-65340-2_46
  22. Cunha, P.; Ferreira, A.; Cortez, P.. "Mining rational team concert repositories: A case study on a software project". 2017.
    10.1007/978-3-319-65340-2_44
  23. Cortez, P.; Matos, L.M.; Pereira, P.J.; Santos, N.; Duque, D.. "Forecasting store foot traffic using facial recognition, time series and support vector machines". 2016.
    10.1007/978-3-319-47364-2_26
  24. Parente, M.; Correia, A.G.; Cortez, P.. "Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation". 2016.
    10.1016/j.proeng.2016.06.064
  25. Cortez, P.; Oliveira, N.; Ferreira, J.P.. "Measuring user influence in financial microblogs: Experiments using StockTwits data". 2016.
    10.1145/2912845.2912860
  26. Parente, M.; Correia, A.G.; Cortez, P.. "A Novel Integrated Optimization System for Earthwork Tasks". 2016.
    10.1016/j.trpro.2016.05.428
  27. Vitor Pereira; Pedro Sousa; Paulo Cortez; Miguel Rio; Miguel Rocha; Pereira, V.; Sousa, P.; et al. "Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-state Routing". 2015.
    Publicado • 10.1007/978-3-319-15892-1_39
  28. Manuel Parente; António Gomes Correia; Paulo Cortez; Parente, M.; Cortez, P.; Correia, A.G.. "Combining Data Mining and Evolutionary Computation for Multi-Criteria Optimization of Earthworks". 2015.
    Publicado • 10.1007/978-3-319-15892-1_35
  29. Fernandes, K.; Vinagre, P.; Cortez, P.. "A proactive intelligent decision support system for predicting the popularity of online news". 2015.
    10.1007/978-3-319-23485-4_53
  30. Parente, M.; Correia, A.G.; Cortez, P.. "Modern optimization in earthwork construction". 2015.
  31. Afsar, P.; Cortez, P.; Santos, H.; Afsar, Palwasha; Cortez, Paulo; Santos, Henrique. "Automatic human action recognition from video using Hidden Markov Model". 2015.
    10.1109/CSE.2015.41
  32. Joan Marc Llargues Asensio; Juan Peralta Donate; Paulo Cortez; Asensio, J.M.L.; Donate, J.P.; Cortez, P.; Gonzalez, B.P.; et al. "Evolving Artificial Neural Networks Applied to Generate Virtual Characters". 2014.
    Publicado • 10.1109/CIG.2014.6932862
  33. Parente, M.; Correia, A.G.; Cortez, P.. "Use of DM techniques in earthworks management: A case study". 2014.
    10.1061/9780784478523.001
  34. Oliveira, N.; Cortez, P.; Areal, N.; Oliveira, Nuno; Cortez, Paulo; Areal, Nelson; N. Oliveira; Paulo Cortez; Nelson Areal. "Automatic creation of stock market lexicons for sentiment analysis using stocktwits data". 2014.
    Publicado • 10.1145/2628194.2628235
  35. Caetano, N.; Laureano, R.M.S.; Cortez, P.; N. Caetano; R. Laureano; Paulo Cortez. "A data-driven approach to predict hospital length of stay a portuguese case study". 2014.
    Publicado
  36. Vitor Pereira; Pedro Sousa; Paulo Cortez; Miguel Rio; Miguel Rocha; Pereira, V.; Sousa, P.; et al. "Robust optimization of intradomain routing using evolutionary algorithms". 2013.
    Publicado • 10.1007/978-3-319-00551-5_25
  37. Oliveira, N.; Cortez, P.; Areal, N.. "On the predictability of stock market behavior using StockTwits sentiment and posting volume". 2013.
    10.1007/978-3-642-40669-0_31
  38. Pereira, V.; Rocha, M.; Cortez, P.; Rio, M.; Sousa, P.. "A framework for robust traffic engineering using evolutionary computation". 2013.
    10.1007/978-3-642-38998-6_1
  39. Gama, J.; May, M.; Marques, N.; Cortez, P.; Ferreira, C.A.; Magalhães, L.; Branco, P.; et al. "Preface". 2013.
    10.1017/CBO9780511983788.001
  40. Tânia, Calçada; Paulo, Cortez; Manuel, Ricardo; Calçada, T.; Cortez, P.; Ricardo, M.. "Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks". 2012.
    Publicado • 10.1109/WCNC.2012.6214062
  41. Sérgio, Moro; Raul, Laureano; Paulo, Cortez. "Enhancing Bank Direct Marketing through Data Mining". 2012.
    Publicado
  42. Joaquim, Tinoco; António Gomes, Correia; Tinoco, J.; Correia, A.G.; Cortez, P.. "Jet Grouting Mechanicals Properties Prediction using Data Mining Techniques". 2012.
    Publicado • 10.1061/9780784412350.0183
  43. Joaquim, Tinoco; António Gomes, Correia; Paulo, Cortez. "Application of a sensitivity analysis procedure to interpret uniaxial compressive strength prediction of jet grouting laboratory formulations performed by SVM model". 2012.
    Publicado
  44. Tinoco, J.; Gomes Correia, A.; Cortez, P.; Joaquim, Tinoco; António Gomes, Correia; Paulo, Cortez. "Jet grouting deformability modulus prediction using data mining tools". 2012.
    Publicado
  45. Cortez, P.; Vaz, R.; Rocha, M.; Rio, M.; Sousa, P.; Paulo, Cortez; Rui, Vaz; et al. "Evolutionary symbiotic feature selection for email spam detection". 2012.
    Publicado
  46. Moro, Sérgio; Laureano, Raul; Cortez, Paulo; Moro, S.; Laureano, R.M.S.; Cortez, P.. "Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology". 2011.
    Publicado
  47. Sousa, P.; Cortez, P.; Rio, M.; Rocha, M.. "Traffic engineering approaches using multicriteria optimization techniques". 2011.
    10.1007/978-3-642-21560-5_9
  48. Tinoco, J.; Gomes Correia, A.; Cortez, P.. "Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time". 2011.
    10.1007/978-3-642-24769-9_36
  49. Donate, J.P.; Cortez, P.; Sanchez, G.G.; De Miguel, A.S.. "Weighted cross-validation evolving artificial neural networks to forecast time series". 2011.
    10.1007/978-3-642-19644-7_16
  50. Tinoco, J.; Correia, A.G.; Cortez, P.. "Application of data mining techniques in the estimation of mechanical properties of Jet Grouting laboratory formulations over time". 2011.
  51. Tinoco, J.; Correia, A.G.; Cortez, P.. "UNI-AXIAL compressive strength prediction of jet grouting columns using support vector machines". 2011.
  52. Cortez, P.; Embrechts, M.J.. "Opening black box Data Mining models using Sensitivity Analysis". 2011.
    10.1109/CIDM.2011.5949423
  53. Rocha, M.; Sa, T.; Sousa, P.; Cortez, P.; Rio, M.. "Multiobjective evolutionary algorithms for intradomain routing optimization". 2011.
    10.1109/CEC.2011.5949897
  54. Peralta Donate, J.; Cortez, P.; Sanchis De Miguel, A.; Gutierrez Sanchez, G.. "Evolving sparsely connected neural networks for multi-step ahead forecasting". 2011.
    10.1145/2001858.2001982
  55. Stepnicka, M.; Peralta, J.; Cortez, P.; Vavrícková, L.; Gutierrez, G.. "Forecasting seasonal time series with computational intelligence: Contribution of a combination of distinct methods". 2011.
  56. Peralta Donate, J.; Cortez, P.; Gutierrez Sanchez, G.; Sanchis De Miguel, A.. "Evolving time-lagged feedforward neural networks for time series forecasting". 2011.
    10.1145/2001858.2001950
  57. Tinoco, J.; Correia, A.G.; Cortez, P.. "A data mining approach for predicting jet grouting geomechanical parameters". 2011.
    10.1061/47634(413)13
  58. Cortez, P.. "Data mining with neural networks and support vector machines using the R/rminer tool". 2010.
    10.1007/978-3-642-14400-4_44
  59. Cortez, P.; Correia, A.; Sousa, P.; Rocha, M.; Rio, M.. "Spam email filtering using network-level properties". 2010.
    10.1007/978-3-642-14400-4_37
  60. Sousa, P.; Machado, A.; Rocha, M.; Cortez, P.; Rio, M.. "A collaborative approach for spam detection". 2010.
    10.1109/INTERNET.2010.25
  61. Cortez, P.. "Sensitivity analysis for time lag selection to forecast seasonal time series using neural networks and support vector machines". 2010.
    10.1109/IJCNN.2010.5596890
  62. Silva, F.; Cortez, P.; Cadavez, V.. "Using multiple regression, neural networks and support vector machines to predict lamb carcasses composition". 2010.
  63. Cortez, P.; Teixeira, J.; Cerdeira, A.; Almeida, F.; Matos, T.; Reis, J.. "Using data mining for wine quality assessment". 2009.
    10.1007/978-3-642-04747-3_8
  64. Costa, R.; Cachulo, N.; Cortez, P.. "An intelligent alarm management system for large-scale telecommunication companies". 2009.
    10.1007/978-3-642-04686-5_32
  65. Marques, R.; Gomes Correia, A.; Cortez, P.. "Data mining applied to compaction of geomaterials". 2009.
  66. Cortez, P.; Lopes, C.; Sousa, P.; Rocha, M.; Rio, M.. "Symbiotic Data Mining for personalized spam filtering". 2009.
    10.1109/WI-IAT.2009.30
  67. Tinoco, J.; Correia, A.G.; Cortez, P.. "A data mining approach for jet grouting uniaxial compressive strength prediction". 2009.
    10.1109/NABIC.2009.5393401
  68. Sousa, P.; Rocha, M.; Cortez, P.; Rio, M.. "Multiconstrained optimization of networks with multicast and unicast traffic". 2008.
    10.1007/978-3-540-87359-4-13
  69. Rocha, M.; Sousa, P.; Cortez, P.; Rio, M.. "An evolutionary algorithm for unicast/ multicast traffic engineering". 2008.
  70. Cortez, P.; Rio, M.; Sousa, P.; Rocha, M.. "Forecasting internet traffic by neural networks under univariate and multivariate strategies". 2008.
  71. Santos, M.F.; Quintela, H.; Cortez, P.; Almeida, J.O.. "An intelligent decision support system for bridge safety assessment based on Data Mining models". 2008.
    10.2495/DATA080221
  72. Cortez, P.; Silva, A.. "Using data mining to predict secondary school student performance". 2008.
  73. Quíntela, H.; Santos, M.F.; Cortez, P.. "Real-time intelligent decision support system for bridges structures behavior prediction". 2007.
  74. Sousa, P.; Rocha, M.; Rio, M.; Cortez, P.. "Class-based OSPF traffic engineering inspired on evolutionary computation". 2007.
  75. Cortez, P.; Rio, M.; Sousa, P.; Rocha, M.. "Topology aware internet traffic forecasting using neural networks". 2007.
  76. Rocha, M.; Sousa, P.; Cortez, P.; Rio, M.. "Evolutionary computation for quality of service internet routing optimization". 2007.
    10.1007/978-3-540-71805-5_8
  77. Duque, D.; Santos, H.; Cortez, P.. "Prediction of abnormal behaviors for intelligent video surveillance systems". 2007.
    10.1109/CIDM.2007.368897
  78. Miranda, T.; Gomes Correia, A.; Nogueira, I.; Santos, M.F.; Cortez, P.; Ribeiro E Sousa, L.. "Alternative models for the calculation of the RMR and Q indexes for granite rock masses". 2007.
  79. Sousa, P.; Rocha, M.; Rio, M.; Cortez, P.. "Efficient OSPF weight allocation for intra-domain QoS optimization". 2006.
  80. Duque, D.; Santos, H.; Cortez, P.. "N-ary trees classifier". 2006.
  81. Cruz, P.J.S.; Lourenco, L.; Santos, M.; Quintela, H.; Cortez, P.. "Strength of corroded tapered plate girders under pure shear". 2006.
  82. Rocha, M.; Sousa, P.; Rio, M.; Cortez, P.. "QoS constrained internet routing with evolutionary algorithms". 2006.
  83. Santos, M.F.; Cortez, P.; Pereira, J.; Quintela, H.. "Corporate bankruptcy prediction using data mining techniques". 2006.
    10.2495/DATA060351
  84. Cortez, P.; Rio, M.; Rocha, M.; Sousa, P.. "Internet traffic forecasting using neural networks". 2006.
  85. Manuel Filipe Santos; Cortez, Paulo Alexandre Ribeiro; Hélder Quintela; Filipe Pinto. "A Clustering Approach for Knowledge Discovery in Database Marketing". Trabalho apresentado em Sixth International Conference on Data Mining, Skiathos, 2005.
    Publicado
  86. Pinto, Filipe; Santos, Manuel Filipe; Cortez, Paulo, 1971-; Quintela, Hélder. "Data preparation for marketing database creation: a case study". 2005.
    Publicado
  87. Duque, D.; Santos, H.; Cortez, P.; Cortez, Paulo Alexandre Ribeiro; Duarte Duque; Henrique Santos. "Moving object detection unaffected by cast shadows, highlights and ghosts". Trabalho apresentado em International Conference on Image Processing, Génova, 2005.
    Publicado • 10.1109/ICIP.2005.1530416
  88. Cortez, P.; Portelinha, M.; Rodrigues, S.; Cadavez, V.; Teixeira, A.. "Lamb meat tenderness prediction using neural networks and sensitivity analysis". 2005.
  89. Rocha, M.; Cortez, P.; Neves, J.. "Simultaneous evolution of neural network topologies and weights for classification and regression". 2005.
  90. Silva, Á.; Cortez, P.; Santos, M.; Gomes, L.; Neves, J.; Silva, Alvaro. "Multiple organ failure diagnosis using adverse events and neural networks". 2004.
    10.1007/1-4020-3675-2_15
  91. Silva, A.; Cortez, P.; Santos, M.F.V.T.; Gomes, L.; Neves, J.. "Organ Failure Diagnosis by Artificial Neural Networks". Trabalho apresentado em Third IASTED International Conference on Artificial Intelligence and Applications, Málaga, 2003.
    Publicado
  92. Rocha, M.; Cortez, P.; Neves, J.. "Evolutionary neural network learning". 2003.
  93. Mendes, R.; Cortez, P.; Rocha, M.; Neves, J.. "Particle swarms for feedforward neural network training". 2002.
  94. Cortez, P.; Rocha, M.; Neves, J.. "Genetic and evolutionary algorithms for time series forecasting". 2001.
  95. Rocha, M.; Mendes, R.; Cortez, P.; Neves, J.. "Sitting guests at a wedding party: Experiments on genetic and evolutionary constrained optimization". 2001.
  96. Rocha, M.; Vilela, C.; Cortez, P.; Neves, J.. "Viewing scheduling problems through Genetic and Evolutionary Algorithms". 2000.
  97. Neves J.; Abelha A.; Machado J.; Alves V.; Rocha M.; Cortez P.; Basto S.; Botelho H.. "An Unified Framework for Data Modeling on Medical Information Systems". Trabalho apresentado em XV International Congress of the European Federation for Medical Informatics (MIE-99), Ljubljana, 1999.
    Publicado
  98. Rocha, Miguel; Cortez, Paulo, 1971-; Mendes, Rui; Neves, José. "An Architecture for Co-Evolving Agents in the ROBOCUP Simulation League". 1999.
    Publicado
  99. Joaquim, Tinoco; António Gomes, Correia; Paulo, Cortez. "Utilização de Máquina de Vetores de Suporte na Previsão do Comportamento Mecânico de Formulações Laboratoriais de Solo-Cimento para Colunas de Jet Grouting". 1999.
    Publicado
  100. Neves, Jose; Cortez, Paulo. "Artificial neural network - genetic based approach for time series forecasting". 1997.
  101. Cortez, Paulo; Rocha, Miguel; Machado, Jose; Neves, Jose. "Neural network based time series forecasting system". 1995.
Artigo em revista
  1. Paulo Cortez; Albert Bifet. "Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence". Expert Systems (2023): https://doi.org/10.1111/exsy.13466.
    10.1111/exsy.13466
  2. Luís Ferreira; Leopoldo Silva; Francisco Morais; Carlos Manuel Martins; Pedro Miguel Pires; Helena Rodrigues; Paulo Cortez; André Pilastri. "International revenue share fraud prediction on the 5G edge using federated learning". Computing (2023): https://doi.org/10.1007/s00607-023-01174-w.
    10.1007/s00607-023-01174-w
  3. Rui Ribeiro; André Pilastri; Carla Moura; José Morgado; Paulo Cortez. "A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics". Neural Computing and Applications (2023): https://doi.org/10.1007/s00521-023-08596-9.
    10.1007/s00521-023-08596-9
  4. Joaquim Tinoco; António Gomes Correia; Paulo Cortez; David Toll. "An Evolutionary Neural Network Approach for Slopes Stability Assessment". Applied Sciences (2023): https://doi.org/10.3390/app13148084.
    10.3390/app13148084
  5. Moro, S.; Pires, G.; Rita, P.; Cortez, P.; Ramos, R.F.. "Discovering ethnic minority business research directions using text mining and topic modelling". Journal of Research in Marketing and Entrepreneurship 25 1 (2023): 83-102. http://www.scopus.com/inward/record.url?eid=2-s2.0-85139679546&partnerID=MN8TOARS.
    10.1108/JRME-01-2022-0004
  6. Barros, J.; Cunha, F.; Martins, C.; Pedrosa, P.; Cortez, P.. "Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry". IEEE Access 11 (2023): 8119-8135. http://www.scopus.com/inward/record.url?eid=2-s2.0-85146258077&partnerID=MN8TOARS.
    10.1109/ACCESS.2022.3232299
  7. Ferreira, L.; Cortez, P.. "AutoOC: A Python module for automated multi-objective One-Class Classification[Formula presented]". Software Impacts 18 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85174523999&partnerID=MN8TOARS.
    10.1016/j.simpa.2023.100590
  8. Barros, J.; Gonçalves, J.N.C.; Cortez, P.; Carvalho, M.S.. "A decision support system based on a multivariate supervised regression strategy for estimating supply lead times". Engineering Applications of Artificial Intelligence 125 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85164239880&partnerID=MN8TOARS.
    10.1016/j.engappai.2023.106671
  9. Ferreira, L.; Cortez, P.. "AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution". Applied Soft Computing 144 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85162144538&partnerID=MN8TOARS.
    10.1016/j.asoc.2023.110496
  10. Fernandes, E.; Moro, S.; Cortez, P.. "Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities". Expert Systems with Applications 221 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85150057019&partnerID=MN8TOARS.
    10.1016/j.eswa.2023.119795
  11. Dias, P.; Matta, A.; Pilastri, A.; Matos, L.M.; Cortez, P.. "RTSIMU: Real-Time Simulation tool for IMU sensors[Formula presented]". Software Impacts 17 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85163518180&partnerID=MN8TOARS.
    10.1016/j.simpa.2023.100522
  12. Barboza, F.; de Frias Barbosa, J.H.; Kimura, H.; Santos, G.C.; Cortez, P.. "Early warning system for preventing bank distress in Brazil". International Journal of Business and Systems Research 17 3 (2023): 326-346. http://www.scopus.com/inward/record.url?eid=2-s2.0-85162042592&partnerID=MN8TOARS.
    10.1504/IJBSR.2023.130632
  13. Matos, L.M.; Cortez, P.; Mendes, R.; Moreau, A.. "A Deep Learning-Based Decision Support System for Mobile Performance Marketing". International Journal of Information Technology and Decision Making 22 2 (2023): 679-703. http://www.scopus.com/inward/record.url?eid=2-s2.0-85138213057&partnerID=MN8TOARS.
    10.1142/S021962202250047X
  14. Matos, L.M.; Azevedo, J.; Matta, A.; Pilastri, A.; Cortez, P.; Mendes, R.. "Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing[Formula presented]". Software Impacts 13 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85134184675&partnerID=MN8TOARS.
    10.1016/j.simpa.2022.100359
  15. Coelho, G.; Matos, L.M.; Pereira, P.J.; Ferreira, A.; Pilastri, A.; Cortez, P.. "Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio". Neural Computing and Applications 34 22 (2022): 19485-19499. http://www.scopus.com/inward/record.url?eid=2-s2.0-85130420162&partnerID=MN8TOARS.
    10.1007/s00521-022-07375-2
  16. Ribeiro, D.; Matos, L.M.; Moreira, G.; Pilastri, A.; Cortez, P.. "Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection". Computers 11 4 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85129123583&partnerID=MN8TOARS.
    10.3390/computers11040054
  17. Ferreira, L.; Pilastri, A.; Romano, F.; Cortez, P.. "Using supervised and one-class automated machine learning for predictive maintenance". Applied Soft Computing 131 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85142127882&partnerID=MN8TOARS.
    10.1016/j.asoc.2022.109820
  18. Carvalho, H.S.; Pilastri, A.; Novais, R.; Cortez, P.. "RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]". Software Impacts 14 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85140324600&partnerID=MN8TOARS.
    10.1016/j.simpa.2022.100428
  19. Fernandes, Elizabeth; Moro, Sérgio; Cortez, Paulo; Batista, Fernando; Ribeiro, Ricardo. "A data-driven approach to measure restaurant performance by combining online reviews with historical sales data". International Journal of Hospitality Management 94 (2021): 102830. http://dx.doi.org/10.1016/j.ijhm.2020.102830.
    10.1016/j.ijhm.2020.102830
  20. Pereira, Pedro José; Cortez, Paulo; Mendes, Rui. "Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction". Expert Systems with Applications 168 (2021): 114287. http://dx.doi.org/10.1016/j.eswa.2020.114287.
    10.1016/j.eswa.2020.114287
  21. Gonçalves, João N.C.; Cortez, Paulo; Carvalho, M. Sameiro; Frazão, Nuno M.. "A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain". Decision Support Systems 142 (2021): 113452. http://dx.doi.org/10.1016/j.dss.2020.113452.
    10.1016/j.dss.2020.113452
  22. Fernandes, J.M.; Costa, A.; Cortez, P.. "Author placement in Computer Science: a study based on the careers of ACM Fellows". Scientometrics (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85106480194&partnerID=MN8TOARS.
    10.1007/s11192-021-04035-5
  23. Silva, A.J.; Cortez, P.; Pereira, C.; Pilastri, A.. "Business analytics in Industry 4.0: A systematic review". Expert Systems (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85107535449&partnerID=MN8TOARS.
    10.1111/exsy.12741
  24. Goncalves, J.N.C.; Cortez, P.; Carvalho, M.S.. "K-means clustering combined with principal component analysis for material profiling in automotive supply chains". European Journal of Industrial Engineering 15 2 (2021): 273-294. http://www.scopus.com/inward/record.url?eid=2-s2.0-85103879260&partnerID=MN8TOARS.
    10.1504/EJIE.2021.114009
  25. Silva, N.; Barros, J.; Santos, M.Y.; Costa, C.; Cortez, P.; Carvalho, M.S.; Gonçalves, J.N.C.. "Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry". Electronics (Switzerland) 10 18 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85114626210&partnerID=MN8TOARS.
    10.3390/electronics10182221
  26. Barros, J.; Cortez, P.; Carvalho, M.S.. "A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process". Operations Research Perspectives 8 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85131608404&partnerID=MN8TOARS.
    10.1016/j.orp.2021.100192
  27. Tinoco, J.; Parente, M.; Gomes Correia, A.; Cortez, P.; Toll, D.. "Predictive and prescriptive analytics in transportation geotechnics: Three case studies". Transportation Engineering 5 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85111347037&partnerID=MN8TOARS.
    10.1016/j.treng.2021.100074
  28. Paulo Cortez; Albert Bifet. "Fifth special issue on knowledge discovery and business intelligence". Expert Systems (2020): https://doi.org/10.1111/exsy.12628.
    10.1111/exsy.12628
  29. João M. Fernandes; Paulo Cortez. "Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields". Scientometrics 125 3 (2020): 2773-2792. https://doi.org/10.1007/s11192-020-03686-0.
    10.1007/s11192-020-03686-0
  30. Zola, Paola; Ragno, Costantino; Cortez, Paulo. "A Google Trends spatial clustering approach for a worldwide Twitter user geolocation". Information Processing & Management 57 6 (2020): 102312. http://dx.doi.org/10.1016/j.ipm.2020.102312.
    10.1016/j.ipm.2020.102312
  31. João N.C. Gonçalves; M. Sameiro Carvalho; Paulo Cortez. "Operations research models and methods for safety stock determination: A review". Operations Research Perspectives 7 (2020): 100164-100164. https://doi.org/10.1016/j.orp.2020.100164.
    10.1016/j.orp.2020.100164
  32. Zola, Paola; Cortez, Paulo; Brentari, Eugenio. "Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers". Neural Computing and Applications 33 4 (2020): 1245-1260. http://dx.doi.org/10.1007/s00521-020-04991-8.
    10.1007/s00521-020-04991-8
  33. Paulo Cortez; Pedro José Pereira; Rui Mendes. "Multi-step time series prediction intervals using neuroevolution". Neural Computing and Applications (2019): https://doi.org/10.1007/s00521-019-04387-3.
    10.1007/s00521-019-04387-3
  34. Zola, P.; Cortez, P.; Ragno, C.; Brentari, E.. "Social Media Cross-Source and Cross-Domain Sentiment Classification". International Journal of Information Technology and Decision Making 18 5 (2019): 1469-1499. http://www.scopus.com/inward/record.url?eid=2-s2.0-85074771803&partnerID=MN8TOARS.
    10.1142/S0219622019500305
  35. Moro, S.; Pires, G.; Rita, P.; Cortez, P.. "A text mining and topic modelling perspective of ethnic marketing research". Journal of Business Research 103 (2019): 275-285. http://www.scopus.com/inward/record.url?eid=2-s2.0-85061051852&partnerID=MN8TOARS.
    10.1016/j.jbusres.2019.01.053
  36. Gonçalves, S.; Cortez, P.; Moro, S.. "A deep learning classifier for sentence classification in biomedical and computer science abstracts". Neural Computing and Applications (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85069678776&partnerID=MN8TOARS.
    10.1007/s00521-019-04334-2
  37. Zola, P.; Cortez, P.; Carpita, M.. "Twitter user geolocation using web country noun searches". Decision Support Systems 120 (2019): 50-59. http://www.scopus.com/inward/record.url?eid=2-s2.0-85063730807&partnerID=MN8TOARS.
    10.1016/j.dss.2019.03.006
  38. Moro, S.; Pires, G.; Rita, P.; Cortez, P.. "A cross-cultural case study of consumers' communications about a new technological product". Journal of Business Research (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85051477258&partnerID=MN8TOARS.
    10.1016/j.jbusres.2018.08.009
  39. Tinoco, J.; Gomes Correia, A.; Cortez, P.; Toll, D.G.. "Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing". Journal of Computing in Civil Engineering 32 2 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85039865396&partnerID=MN8TOARS.
    10.1061/(ASCE)CP.1943-5487.0000739
  40. Afsar, P.; Cortez, P.; Santos, H.. "Automatic human trajectory destination prediction from video". Expert Systems with Applications 110 (2018): 41-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-85048014508&partnerID=MN8TOARS.
    10.1016/j.eswa.2018.03.035
  41. Cortez, P.; Moro, S.; Rita, P.; King, D.; Hall, J.. "Insights from a text mining survey on Expert Systems research from 2000 to 2016". Expert Systems 35 3 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85048341316&partnerID=MN8TOARS.
    10.1111/exsy.12280
  42. Cortez, P.; Santos, M.F.. "Fourth special issue on knowledge discovery and business intelligence". Expert Systems 35 4 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85050466704&partnerID=MN8TOARS.
    10.1111/exsy.12314
  43. Silva, A.T.; Moro, S.; Rita, P.; Cortez, P.. "Unveiling the features of successful eBay smartphone sellers". Journal of Retailing and Consumer Services 43 (2018): 311-324. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046718327&partnerID=MN8TOARS.
    10.1016/j.jretconser.2018.05.001
  44. Tinoco, J.; Gomes Correia, A.; Cortez, P.; Toll, D.G.. "Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features". Journal of Computing in Civil Engineering 32 4 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85047057600&partnerID=MN8TOARS.
    10.1061/(ASCE)CP.1943-5487.0000770
  45. Amado, A.; Cortez, P.; Rita, P.; Moro, S.. "Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis". European Research on Management and Business Economics 24 1 (2018): 1-7. http://www.scopus.com/inward/record.url?eid=2-s2.0-85021832314&partnerID=MN8TOARS.
    10.1016/j.iedeen.2017.06.002
  46. Moro, S.; Cortez, P.; Rita, P.. "A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing". Expert Systems 35 3 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85032257807&partnerID=MN8TOARS.
    10.1111/exsy.12253
  47. Tinoco, J.; Gomes Correia, A.; Cortez, P.. "Jet grouting column diameter prediction based on a data-driven approach". European Journal of Environmental and Civil Engineering 22 3 (2018): 338-358. http://www.scopus.com/inward/record.url?eid=2-s2.0-84974814375&partnerID=MN8TOARS.
    10.1080/19648189.2016.1194329
  48. Tinoco, J.; Gomes Correia, A.; Cortez, P.; Toll, D.G.. "Erratum: Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing (Journal of Computing in Civil Engineering DOI: 10.1061/(ASCE)CP.1943-5487.0000739)". Journal of Computing in Civil Engineering 32 5 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85048264634&partnerID=MN8TOARS.
    10.1061/(ASCE)CP.1943-5487.0000771
  49. Moro, S.; Rita, P.; Cortez, P.. "A text mining approach to analyzing Annals literature". Annals of Tourism Research 66 (2017): 208-210. http://www.scopus.com/inward/record.url?eid=2-s2.0-85023619363&partnerID=MN8TOARS.
    10.1016/j.annals.2017.07.011
  50. Cortez, P.; Santos, M.F.. "Third special issue on knowledge discovery and business intelligence". Expert Systems 34 1 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85013113288&partnerID=MN8TOARS.
    10.1111/exsy.12188
  51. de Sá, C.R.; Soares, C.; Knobbe, A.; Cortez, P.. "Label Ranking Forests". Expert Systems 34 1 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-84994462374&partnerID=MN8TOARS.
    10.1111/exsy.12166
  52. Oshodi, O.S.; Ejohwomu, O.A.; Famakin, I.O.; Cortez, P.. "Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model". Construction Economics and Building 17 3 (2017): 109-123. http://www.scopus.com/inward/record.url?eid=2-s2.0-85030102733&partnerID=MN8TOARS.
    10.5130/AJCEB.v17i3.5524
  53. Oliveira, N.; Cortez, P.; Areal, N.. "The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices". Expert Systems with Applications 73 (2017): 125-144. http://www.scopus.com/inward/record.url?eid=2-s2.0-85007488685&partnerID=MN8TOARS.
    10.1016/j.eswa.2016.12.036
  54. Moro, S.; Cortez, P.; Rita, P.. "A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features". Neural Computing and Applications 28 6 (2017): 1515-1523. http://www.scopus.com/inward/record.url?eid=2-s2.0-84953410389&partnerID=MN8TOARS.
    10.1007/s00521-015-2157-8
  55. Sousa, P.; Pereira, V.; Cortez, P.; Rio, M.; Rocha, M.. "A framework for improving routing configurations using multi-objective optimization mechanisms". Journal of Communications Software and Systems 12 3 (2016): 145-156. http://www.scopus.com/inward/record.url?eid=2-s2.0-85016010009&partnerID=MN8TOARS.
  56. Coelho, M.R.F.; Sena-Cruz, J.M.; Neves, L.A.C.; Pereira, M.; Cortez, P.; Miranda, T.. "Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete". Construction and Building Materials 126 (2016): 484-495. http://www.scopus.com/inward/record.url?eid=2-s2.0-84988521848&partnerID=MN8TOARS.
    10.1016/j.conbuildmat.2016.09.048
  57. Oliveira, N.; Cortez, P.; Areal, N.; Oliveira, Nuno; Cortez, Paulo; Areal, Nelson. "Stock market sentiment lexicon acquisition using microblogging data and statistical measures". Decision Support Systems 85 1 (2016): 62-73. http://www.scopus.com/inward/record.url?eid=2-s2.0-84980052303&partnerID=MN8TOARS.
    Publicado • 10.1016/j.dss.2016.02.013
  58. Paulo Cortez; Manuel Filipe Santos. "[An editorial to] Recent Advances on Knowledge Discovery and Business Intelligence". Sem título 1 (2015): 1-10. http://hdl.handle.net/1822/38302.
    Publicado
  59. Sérgio Moro; Paulo Cortez; Paulo Rita; Moro, S.; Cortez, P.; Rita, P.. "Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation". Sem título 42 1 (2015): 1-10. http://hdl.handle.net/1822/38304.
    Publicado • 10.1016/j.eswa.2014.09.024
  60. Rifai, A.I.; Hadiwardoyo, S.P.; Correia, A.G.; Pereira, P.; Cortez, P.. "The data mining applied for the prediction of highway roughness due to overloaded trucks". International Journal of Technology 6 5 (2015): 751-761. http://www.scopus.com/inward/record.url?eid=2-s2.0-84954184122&partnerID=MN8TOARS.
    10.14716/ijtech.v6i5.1186
  61. Parente, M.; Cortez, P.; Gomes Correia, A.; Manuel Parente; Paulo Cortez; António Gomes Correia. "An evolutionary multi-objective optimization system for earthworks". Expert Systems with Applications 42 19 (2015): 6674-6685. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930042715&partnerID=MN8TOARS.
    Publicado • 10.1016/j.eswa.2015.04.051
  62. Cortez, P.; Santos, M.F.. "Recent advances on knowledge discovery and business intelligence". Expert Systems 32 3 (2015): 433-434. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930788580&partnerID=MN8TOARS.
    10.1111/exsy.12087
  63. Afsar, P.; Cortez, P.; Santos, H.; Palwasha Afsar; Paulo Cortez; Henrique Santos. "Automatic visual detection of human behavior: A review from 2000 to 2014". Expert Systems with Applications 42 20 (2015): 6935-6956. http://www.scopus.com/inward/record.url?eid=2-s2.0-84930638830&partnerID=MN8TOARS.
    Publicado • 10.1016/j.eswa.2015.05.023
  64. Freitas, E.; Tinoco, J.; Soares, F.; Costa, J.; Cortez, P.; Pereira, P.. "Modelling Tyre-Road Noise with Data Mining Techniques". Archives of Acoustics 40 4 (2015): 547-560. http://www.scopus.com/inward/record.url?eid=2-s2.0-84955295001&partnerID=MN8TOARS.
    10.1515/aoa-2015-0054
  65. Laureano, R.M.S.; Caetano, N.; Cortez, P.. "Predicting inpatient length of stay in a Portuguese hospital using the CRISP-DM methodology,Previsão de tempos de internamento num hospital português: Aplicação da metodologia CRISP-DM". RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao 13 (2014): 83-98. http://www.scopus.com/inward/record.url?eid=2-s2.0-85035088395&partnerID=MN8TOARS.
    10.4304/risti.13.83-98
  66. Cortez, P.; Donate, J.P.. "Global and decomposition evolutionary support vector machine approaches for time series forecasting". Neural Computing and Applications 25 5 (2014): 1053-1062. http://www.scopus.com/inward/record.url?eid=2-s2.0-84907707520&partnerID=MN8TOARS.
    10.1007/s00521-014-1593-1
  67. Tinoco, J.; Gomes Correia, A.; Cortez, P.. "Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns". Computers and Geotechnics 55 (2014): 132-140. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884335176&partnerID=MN8TOARS.
    10.1016/j.compgeo.2013.08.010
  68. Tinoco, J.; Correia, A.G.; Cortez, P.. "A novel approach to predicting Young's modulus of jet grouting laboratory formulations over time using data mining techniques". Engineering Geology 169 (2014): 50-60. http://www.scopus.com/inward/record.url?eid=2-s2.0-84890210809&partnerID=MN8TOARS.
    10.1016/j.enggeo.2013.11.015
  69. Llargues Asensio, J.M.; Peralta, J.; Arrabales, R.; Bedia, M.G.; Cortez, P.; Peña, A.L.. "Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters". Expert Systems with Applications 41 16 (2014): 7281-7290. http://www.scopus.com/inward/record.url?eid=2-s2.0-84904152941&partnerID=MN8TOARS.
    10.1016/j.eswa.2014.05.004
  70. Peralta Donate, J.; Cortez, P.. "Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting". Applied Soft Computing Journal 23 (2014): 432-443. http://www.scopus.com/inward/record.url?eid=2-s2.0-84905499189&partnerID=MN8TOARS.
    10.1016/j.asoc.2014.06.041
  71. Moro, S.; Cortez, P.; Rita, P.; Sergio Moro; Paulo Cortez; Paulo Rita. "Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns". Neural Computing and Applications 26 1 (2014): 131-139. http://www.scopus.com/inward/record.url?eid=2-s2.0-84921918758&partnerID=MN8TOARS.
    Publicado • 10.1007/s00521-014-1703-0
  72. Moro, S.; Cortez, P.; Rita, P.. "A data-driven approach to predict the success of bank telemarketing". Decision Support Systems 62 (2014): 22-31. http://www.scopus.com/inward/record.url?eid=2-s2.0-84900534741&partnerID=MN8TOARS.
    10.1016/j.dss.2014.03.001
  73. Juan Peralta, Donate; Paulo, Cortez; Germán Gutiérrez, Sánchez; Araceli Sanchis, de Miguel; Donate, J.P.; Cortez, P.; Sánchez, G.G.; De Miguel, A.S.. "Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble". Neurocomputing 109 1 (2013): 27-32. http://hdl.handle.net/1822/24678.
    Publicado • 10.1016/j.neucom.2012.02.053
  74. Tinoco, J. and Gomes Correia, A. and Cortez, P.; Tinoco, J.; Correia, A.G.; Cortez, P.. "Data-driven models for uniaxial compressive strength prediction applied to unseen data". Sem título 1 (2013): 1-10. http://hdl.handle.net/1822/31407.
    Publicado
  75. Sergio Jurado; Juan Peralta; Àngela Nebot; Francisco Mugica; Paulo Cortez; Jurado, S.; Peralta, J.; et al. "Short-term Electric Load Forecasting Using Computational Intelligence Methods". Sem título 1 (2013): 1-10. http://hdl.handle.net/1822/31409.
    Publicado • 10.1109/FUZZ-IEEE.2013.6622523
  76. Štepnicka, M.; Cortez, P.; Donate, J.P.; Štepnicková, L.; Martin, Stepnicka; Paulo, Cortez; Juan Peralta, Donate; Lenka, Stepnickova. "Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations". Expert Systems with Applications 40 6 (2013): 1981-1992. http://www.scopus.com/inward/record.url?eid=2-s2.0-84872836165&partnerID=MN8TOARS.
    Publicado • 10.1016/j.eswa.2012.10.001
  77. Sousa, P.; Cortez, P.; Vaz, R.; Rocha, M.; Rio, M.. "Email spam detection: A symbiotic feature selection approach fostered by evolutionary computation". International Journal of Information Technology and Decision Making 12 4 (2013): 863-884. http://www.scopus.com/inward/record.url?eid=2-s2.0-84882738506&partnerID=MN8TOARS.
    10.1142/S0219622013500326
  78. Cortez, P.; Santos, M.F.; Cortez, Paulo; Santos, Manuel Filipe. "Knowledge discovery and business intelligence". Expert Systems 30 4 (2013): 283-284. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883829751&partnerID=MN8TOARS.
    Publicado • 10.1111/exsy.12042
  79. Gomes Correia, A.; Cortez, P.; Tinoco, J.; Marques, R.. "Artificial intelligence applications in transportation geotechnics". Geotechnical and Geological Engineering 31 3 (2013): 861-879. http://www.scopus.com/inward/record.url?eid=2-s2.0-84898493805&partnerID=MN8TOARS.
    10.1007/s10706-012-9585-3
  80. Cortez, P.; Embrechts, M.J.. "Using sensitivity analysis and visualization techniques to open black box data mining models". Information Sciences 225 (2013): 1-17. http://www.scopus.com/inward/record.url?eid=2-s2.0-84871386793&partnerID=MN8TOARS.
    10.1016/j.ins.2012.10.039
  81. Joaquim, Tinoco; António Gomes, Correia; Paulo, Cortez. "Previsão do Comportamento Mecânico de Formulações Laboratoriais de Solo-Cimento para Colunas de Jet Grouting com recurso a Máquina de Vetores de Suporte". Revista Engenharia Civil 42 1 (2012): 43-55. http://hdl.handle.net/1822/21193.
    Publicado
  82. Cortez, P.; Rio, M.; Rocha, M.; Sousa, P.; Cortez, Paulo; Rio, Miguel; Rocha, Miguel; Sousa, Pedro. "Multi-scale Internet traffic forecasting using neural networks and time series methods". Expert Systems 29 2 (2012): 143-155. http://www.scopus.com/inward/record.url?eid=2-s2.0-84875986861&partnerID=MN8TOARS.
    Publicado • 10.1111/j.1468-0394.2010.00568.x
  83. Lopes, Clotilde; Cortez, Paulo; Sousa, Pedro; Rocha, Miguel; Rio, Miguel. "Symbiotic filtering for spam email detection". Expert Systems with Applications 38 8 (2011): 9365-9372. http://dx.doi.org/10.1016/j.eswa.2011.01.174.
    10.1016/j.eswa.2011.01.174
  84. Rocha, Miguel; Sousa, Pedro; Cortez, Paulo; Rio, Miguel. "Quality of Service constrained routing optimization using Evolutionary Computation". Applied Soft Computing 11 1 (2011): 356-364. http://dx.doi.org/10.1016/j.asoc.2009.11.026.
    10.1016/j.asoc.2009.11.026
  85. Tinoco, J.; Gomes Correia, A.; Cortez, P.. "Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time". Construction and Building Materials 25 3 (2011): 1257-1262. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650249179&partnerID=MN8TOARS.
    10.1016/j.conbuildmat.2010.09.027
  86. Miranda, T.; Correia, A.G.; Santos, M.; Ribeiro e Sousa, L.; Cortez, P.. "New models for strength and deformability parameter calculation in rock masses using data-mining techniques". International Journal of Geomechanics 11 1 (2010): 44-58. http://www.scopus.com/inward/record.url?eid=2-s2.0-78651485244&partnerID=MN8TOARS.
    10.1061/(ASCE)GM.1943-5622.0000071
  87. Cortez, P.; Cerdeira, A.; Almeida, F.; Matos, T.; Reis, J.. "Modeling wine preferences by data mining from physicochemical properties". Decision Support Systems 47 4 (2009): 547-553. http://www.scopus.com/inward/record.url?eid=2-s2.0-72049084727&partnerID=MN8TOARS.
    10.1016/j.dss.2009.05.016
  88. Silva, A.; Cortez, P.; Santos, M.F.; Gomes, L.; Neves, J.. "Rating organ failure via adverse events using data mining in the intensive care unit". Artificial Intelligence in Medicine 43 3 (2008): 179-193. http://www.scopus.com/inward/record.url?eid=2-s2.0-46549086460&partnerID=MN8TOARS.
    10.1016/j.artmed.2008.03.010
  89. Pedro Sousa; Miguel Rocha; Miguel Rio; Cortez, Paulo Alexandre Ribeiro; Sousa, P.; Rocha, M.; Rio, M.; Cortez, P.. "Automatic Provisioning of QoS Aware OSPF Configurations". Journal of Networks (JNW), Academy Publisher 2 2 (2007): 1-10. http://hdl.handle.net/1822/6619.
    Publicado
  90. Miguel Rocha; Cortez, Paulo Alexandre Ribeiro; José Maia Neves; Rocha, M.; Cortez, P.; Neves, J.. "Evolution of Neural Networks for Classification and Regression". Neurocomputing, Elsevier 70 70 (2007): 2809-2816. http://www.scopus.com/inward/record.url?eid=2-s2.0-34548180859&partnerID=MN8TOARS.
    Publicado • 10.1016/j.neucom.2006.05.023
  91. Duque, Duarte; Santos, Henrique; Cortez, Paulo, 1971-. "Previsão de Eventos Anormais em Sistemas de Vídeo-Vigilância". Actas do Simpósio Doutoral em Inteligência Artificial 1 (2007): 165-174. http://hdl.handle.net/1822/18440.
    Publicado
  92. Á. Silva; Cortez, Paulo Alexandre Ribeiro; M. F. Santos; José Maia Neves; L. Gomes; Silva, A.; Cortez, P.; et al. "Mortality assessment in intensive care units via adverse events using artificial neural networks". Artificial Intelligence in Medicine, Elsevier 36 3 (2006): 223-234. http://hdl.handle.net/1822/5412.
    Publicado • 10.1016/j.artmed.2005.07.006
  93. Ramos, J.A.; Bugalho, M.N.; Cortez, P.; Iason, G.R.. "Selection of trees for rubbing by red and roe deer in forest plantations". Forest Ecology and Management 222 1-3 (2006): 39-45. http://www.scopus.com/inward/record.url?eid=2-s2.0-31444453507&partnerID=MN8TOARS.
    10.1016/j.foreco.2005.10.017
  94. Cortez, P.; Portelinha, M.; Rodrigues, S.; Cadavez, V.; Teixeira, A.; Cortez, Paulo Alexandre Ribeiro; M. Portelinha; et al. "Lamb meat quality assessment by Support Vector Machines". Neural Processing Letters 24 1 (2006): 41-51. http://www.scopus.com/inward/record.url?eid=2-s2.0-33748876037&partnerID=MN8TOARS.
    Publicado • 10.1007/s11063-006-9009-6
  95. Portelinha, Manuel; Cortez, Paulo, 1971-; Rodrigues, Sandra; Cadavez, Vasco; Teixeira, Alfredo. "Previsão da Tenrura da Carne de Cordeiro via Redes Neuronais Artificiais e Análise de Sensibilidade". Actas da 6ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI) 1 (2005): 1-10.
    Publicado
  96. Gago, P.; Santos, M.F.; Silva, A.; Cortez, P.; Neves, J.; Gomes, L.. "INTCare: A knowledge discovery based intelligent decision support system for intensive care medicine". Journal of Decision Systems 14 3 (2005): 241-259. http://www.scopus.com/inward/record.url?eid=2-s2.0-84963673624&partnerID=MN8TOARS.
    10.3166/jds.14.241-259
  97. Miguel Rocha; Cortez, Paulo Alexandre Ribeiro; José Maia Neves. "Evolutionary Neural Network Learning Algorithms for Changing Environments". WSEAS Transactions on Systems 3 2 (2004): 596-601. http://hdl.handle.net/1822/426.
    Publicado
  98. Cortez, P.; Rocha, M.; Neves, J.. "Evolving time series forecasting ARMA models". Journal of Heuristics 10 4 (2004): 415-429. http://www.scopus.com/inward/record.url?eid=2-s2.0-3142742672&partnerID=MN8TOARS.
    10.1023/B:HEUR.0000034714.09838.1e
  99. Cortez, Paulo Alexandre Ribeiro; Miguel Rocha; José Maia Neves. "A Lamarckian Approach for Neural Network Training.". Neural Processing Letters, Kluwer 2 15 (2002): 105-116. http://hdl.handle.net/1822/353.
    Publicado • 10.1023/A:1015259001150
Capítulo de livro
  1. Cláudia Afonso; Arthur Matta; Luís Miguel Matos; Miguel Bastos Gomes; Antonina Santos; André Pilastri; Paulo Cortez. "Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case". 2023.
    10.1007/978-3-031-34107-6_27
  2. Rui Ribeiro; André Pilastri; Hugo Carvalho; Arthur Matta; Pedro José Pereira; Pedro Rocha; Marcelo Alves; Paulo Cortez. "An Intelligent Decision Support System for Production Planning in Garments Industry". 378-386. Springer International Publishing, 2021.
    10.1007/978-3-030-91608-4_37
  3. Luís Ferreira; André Pilastri; Vítor Sousa; Filipe Romano; Paulo Cortez. "Prediction of Maintenance Equipment Failures Using Automated Machine Learning". 2021.
    10.1007/978-3-030-91608-4_26
  4. Gabriel Coelho; Pedro Pereira; Luis Matos; Alexandrine Ribeiro; Eduardo C. Nunes; André Ferreira; Paulo Cortez; André Pilastri. "Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection". 337-348. Springer International Publishing, 2021.
    10.1007/978-3-030-79150-6_27
  5. António João Silva; Paulo Cortez. "An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption". 105-116. Springer International Publishing, 2021.
    10.1007/978-3-030-79150-6_9
  6. Rui Ribeiro; André Pilastri; Carla Moura; Filipe Rodrigues; Rita Rocha; José Morgado; Paulo Cortez. "Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features". 244-255. Springer International Publishing, 2020.
    10.1007/978-3-030-49186-4_21
  7. António João Silva; Paulo Cortez; André Pilastri. "Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples". 232-243. Springer International Publishing, 2020.
    10.1007/978-3-030-49186-4_20
  8. Oliveira, N.; Cortez, P.; Areal, N.. "Sentiment analysis of stock market behavior from twitter using the R tool". 223-240. 2016.
  9. Cortez, P.. "Data Mining with Multilayer Perceptrons and Support Vector Machines". In Sem título. 2012.
    10.1007/978-3-642-23242-8_2
  10. Cortez, P.; Rocha, M.; Neves, J.. "Time series forecasting by evolutionary neural networks". In Enterprise Information Systems VI. 2005.
    10.4018/978-1-59140-902-1.ch003
Livro
  1. Loureiro, C.; Pereira, P.J.; Cortez, P.; Guimarães, P.; Moreira, C.; Pinho, A.. Predicting Multiple Domain Queue Waiting Time via Machine Learning. 2023.
    10.1007/978-3-031-36805-9_27
  2. Soares, D.; Pereira, P.J.; Cortez, P.; Gonçalves, C.. A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. 2023.
    10.1007/978-3-031-49008-8_25
  3. Carvalho, H.S.; Pilastri, A.; Matta, A.; Matos, L.M.; Novais, R.; Cortez, P.. An Intelligent Decision Support System for Road Freight Transport. 2022.
    10.1007/978-3-031-21753-1_15
  4. Fontes, G.; Matos, L.M.; Matta, A.; Pilastri, A.; Cortez, P.. An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets. 2022.
    10.1007/978-3-031-08333-4_7
  5. Santos, L.; Matos, L.M.; Ferreira, L.; Alves, P.; Viana, M.; Pilastri, A.; Cortez, P.. A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. 2022.
    10.1007/978-3-031-21753-1_45
  6. Pereira, P.J.; Costa, N.; Barros, M.; Cortez, P.; Durães, D.; Silva, A.; Machado, J.. A Comparison of Automated Time Series Forecasting Tools for Smart Cities. 2022.
    10.1007/978-3-031-16474-3_45
  7. Galvão, J.; Ribeiro, D.; Machado, I.; Ferreira, F.; Gonçalves, J.; Faria, R.; Moreira, G.; et al. Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support. 2022.
    10.1007/978-3-031-05760-1_34
  8. Silva, A.J.; Cortez, P.. An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories. 2022.
    10.1007/978-3-031-08337-2_14
  9. Sousa, A.; Ferreira, L.; Ribeiro, R.; Xavier, J.; Pilastri, A.; Cortez, P.. Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning. 2022.
    10.1007/978-3-031-08337-2_22
  10. Ferreira, L.; Pilastri, A.; Martins, C.; Santos, P.; Cortez, P.. A Scalable and Automated Machine Learning Framework to Support Risk Management. 2021.
    10.1007/978-3-030-71158-0_14
  11. Cortez, Paulo. Modern Optimization with R. Springer International Publishing. 2021.
    10.1007/978-3-030-72819-9
  12. Matos, L.M.; Domingues, A.; Moreira, G.; Cortez, P.; Pilastri, A.. A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. 2021.
    10.1007/978-3-030-91608-4_1
  13. Ribeiro, D.; Matos, L.M.; Cortez, P.; Moreira, G.; Pilastri, A.. A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. 2021.
    10.1007/978-3-030-86960-1_34
  14. Pereira, P.J.; Pereira, A.; Cortez, P.; Pilastri, A.. A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. 2021.
    10.1007/978-3-030-86230-5_44
  15. Zola, P.; Cortez, P.; Tesconi, M.. Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location. 2020.
    10.1007/978-3-030-58814-4_38
  16. Matos, L.M.; Cortez, P.; Mendes, R.C.; Moreau, A.. Using deep learning for ordinal classification of mobile marketing user conversion. 2019.
    10.1007/978-3-030-33607-3_7
  17. Tinoco, J.; Correia, A.G.; Cortez, P.; Toll, D.. Artificial Neural Networks for Rock and Soil Cutting Slopes Stability Condition Prediction. 2019.
    10.1007/978-3-030-02032-3_10
  18. Caetano, N.; Cortez, P.; Laureano, R.M.. Using data mining for prediction of hospital length of stay: An application of the CRISP-DM methodology. 2015.
    10.1007/978-3-319-22348-3_9
  19. Gomes Correia, A.; Parente, M.; Cortez, P.. Earthwork optimization system for sustainable highway construction. 2015.
    10.3233/978-1-61499-599-9-121
  20. Cortez, P.; Donate, J.P.. Evolutionary support vector machines for time series forecasting. 2012.
    10.1007/978-3-642-33266-1_65
  21. Duque, D.; Santos, H.; Cortez, P.. The OBSERVER: An intelligent and automated video surveillance system. 2006.
  22. Neves, J.; Cortez, P.; Rocha, M.; Abelha, A.; MacHado, J.; Alves, V.; Basto, S.; Botelho, H.. A unified framework for data modeling on medical information systems. 1999.
    10.3233/978-1-60750-912-7-68
Relatório
  1. Paulo Cortez. 2015. A tutorial on using the rminer R package for data mining tasks.
    10.21814/1822.36210

Outros

Outra produção
  1. A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning. 2022. Barros, J.; Gonçalves, J.N.C.; Cortez, P.; Carvalho, M.S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85131619835&partnerID=MN8TOARS.
    10.2139/ssrn.4118108
  2. Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds. 2020. Ribeiro, A.; Matos, L.M.; Pereira, P.J.; Nunes, E.C.; Ferreira, A.L.; Cortez, P.; Pilastri, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095030315&partnerID=MN8TOARS.
    10.48550/arxiv.2006.10417
  3. DATA MINING no GUIDE TERRASSEMENTS. 2007. Marques, Rui Filipe Pedreira; António Gomes Correia; Cortez, Paulo Alexandre Ribeiro.
Atividades

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2006 - Atual Supervised 16 PhD thesis in the areas of Business Analytics and Information Systems, currently he is supervising 8 PhD thesis. Also supervised 60 MSc Thesis in the areas of Business Analytics and Information Systems.
Orientador
PhD and MSc (Doutoramento)
Universidade do Minho - Campus de Azurém, Portugal

Júri de grau académico

Tema
Tipo de participação
Nome do candidato (Tipo de grau)
Instituição / Organização
2024 External Examiner of 18 Portuguese PhD thesis (area of Information Systems/Computer Science) and 7 foreign PhD thesis (e.g., Australia, Spain). Since 2013 to current date.
Arguente principal
Several candidates. (Doutoramento)

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2023/10/01 - Atual International Journal of Data Science and Analytics Springer
2017/04 - Atual Decision Support Systems (0167-9236) Elsevier
2013/07 - Atual Expert Systems (1468-0394) Wiley (Blackwell Publishing)
2008/01/01 - 2008/08/01 Neural Processing Letters (indexed in ISI) Springer

Comissão de avaliação

Descrição da atividade
Tipo de assessoria
Instituição / Organização Entidade financiadora
2013 - Atual Evaluator of 93 R&D project proposals and reports from of R&D projects submitted to 35 competitive financing programs submitted to the scientific agencies of the ministries of science and research of the countries : Canada, Cyprus, France, Israel, Italy, Kazakhstan, Poland, Portugal, Romania and The Netherlands. Since 2013 to current date.

Membro de associação

Nome da associação Tipo de participação
2021/07 - Atual ACM Senior Member
2011/10 - Atual Association for Computing Machinery (ACM). Professional Member
2002/01 - Atual APPIA - Portuguese Association for Artificial Intelligence Vice-president of the association (APPIA) between 2012 and 2015
2007/09 - 2008/08 European Neural Network Society (ENNS)

Membro de comissão

Descrição da atividade
Tipo de participação
Instituição / Organização
2002 - Atual Program Committee/Scientific Committee member of 227 scientific conferences, including: CORE A* - ACM VLDB 2018, IJCAI 2022-21-22-23; CORE A - EMNLP 2019, ICONIP 2017, IDA 2016-17-18-19-20, IEEE IJCNN (e.g., 2018), PAKDD 2009, ECML/PKDD 2006.

Outro júri / avaliação

Descrição da atividade Instituição / Organização
2013 - Atual Jury member of 10 lecturing positions (Assistant, Associate and Full Professor) in the areas of Data Science, Artificial Intelligence, Information Systems and Compute Science at several Portuguese Universities (Porto, Coimbra, ISCTE-IUL and New University of Lisbon). Since 2013 to current date.
2003 - Atual Peer reviewer of more than 200 articles submitted to 59 journals (most indexed with ISI JCR or Scimago SJR), including Journal of Machine Learning Research, Information Sciences, Knowledge and Information Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering.
Distinções

Prémio

2021 Best Paper Award of 21th Int. Conf. on Computational Science and its Applications (ICCSA 2021)
2021 Best Paper Award of 22nd Int. Conf. on Intelligent Data Engineering and Automated Learning (IDEAL 2021)
2018 Co-supervisor of PhD thesis that received the INFI-FEBRABAN Award for the best Brazilian PhD thesis in the domain of Banking

Outra distinção

2023 Top 2% world influential researcher (according to Scopus citations)
2023 Clarivate/ISI Web of Science (WoS) Highly Cited Paper for the article "Using Sensitivity Analysis and Visualization Techniques to Open Black Box Data Mining Models" (Information Sciences journal)
2023 Clarivate/ISI Web of Science (WoS) Highly Cited Paper for the article "A data-driven approach to predict the success of bank telemarketing" (DSS journal)
2017 Co-author of best 2017 article of the Economics and Management School of U. Minho
2015 Best Paper Award of the 17th Conference on Artificial Intelligence (EPIA 2015), (Springer LNCS, ISI Web of Science, Scopus), September, 2015 (selected among 81 EPIA papers from 18 countries)
2014 5th place (among 67 international teams) in Microsoft Power Business Intelligence (BI) Demo Contest, supervision of a BI team of 3 MSc students.
2011 Third place (in a total of 14 teams) in the 1st International Competition of Time Series Forecasting
Kaggle, Estados Unidos
2009 ISI Web of Science (WoS) Highly Cited Paper for the article "Modeling wine preferences by data mining from physicochemical properties" (DSS journal)
Clarivate Analytics Inc, Estados Unidos
2008 Steffen Schwarz Award - best paper of the 15th European Concurrent Engineering Conference/5th Future Business Technology Conference (ECEC-FUBUTEC'2008, selected among 52 papers)
1994 Student of Merit Award (Prémio de Mérito Escolar)
1993 Student of Merit Award (Prémio de Mérito Escolar)