Paulo Cortez

Martin Stepnicka, Paulo Cortez, Juan Peralta Donate, Lenka Stepnicková: Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations. Expert Syst. Appl. 40(6): 1981-1992 (2013)

Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel: Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Neurocomputing 109: 27-32 (2013)

Paulo Cortez, Mark J. Embrechts: Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. 225: 1-17 (2013)

Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Sousa: Multi-scale Internet traffic forecasting using neural networks and time series methods. Expert Systems 29(2): 143-155 (2012)

Paulo Cortez, Juan Peralta Donate: Evolutionary Support Vector Machines for Time Series Forecasting. ICANN (2) 2012: 523-530

Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa: Evolutionary Symbiotic Feature Selection for Email Spam Detection. ICINCO (1) 2012: 159-164

Tânia Calçada, Paulo Cortez, Manuel Ricardo: Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks. WCNC 2012: 1725-1730

Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio: Quality of Service constrained routing optimization using Evolutionary Computation. Appl. Soft Comput. 11(1): 356-364 (2011)

Clotilde Lopes, Paulo Cortez, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio: Symbiotic filtering for spam email detection. Expert Syst. Appl. 38(8): 9365-9372 (2011)

Miguel Rocha, Tiago Sá, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio: Multiobjective Evolutionary Algorithms for intradomain routing optimization. IEEE Congress on Evolutionary Computation 2011: 2272-2279

Paulo Cortez, Mark J. Embrechts: Opening black box Data Mining models using Sensitivity Analysis. CIDM 2011: 341-348

Joaquim Tinoco, António Gomes Correia, Paulo Cortez: Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time. EPIA 2011: 491-505

Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez: Evolving time-lagged feedforward neural networks for time series forecasting. GECCO (Companion) 2011: 163-164

Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez: Evolving sparsely connected neural networks for multi-step ahead forecasting. GECCO (Companion) 2011: 219-220

Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel: Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. SOCO 2011: 147-154

Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha: Traffic Engineering Approaches Using Multicriteria Optimization Techniques. WWIC 2011: 104-115

Paulo Cortez: Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines. IJCNN 2010: 1-8

Paulo Cortez, André Correia, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio: Spam Email Filtering Using Network-Level Properties. ICDM 2010: 476-489

Paulo Cortez: Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool. ICDM 2010: 572-583

Paulo Cortez, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis: Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems 47(4): 547-553 (2009)

Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis: Using Data Mining for Wine Quality Assessment. Discovery Science 2009: 66-79

Raúl Costa, Nuno Cachulo, Paulo Cortez: An Intelligent Alarm Management System for Large-Scale Telecommunication Companies. EPIA 2009: 386-399

Joaquim Tinoco, António Gomes Correia, Paulo Cortez: A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction. NaBIC 2009: 553-558

Paulo Cortez, Clotilde Lopes, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio: Symbiotic Data Mining for Personalized Spam Filtering. Web Intelligence 2009: 149-156

Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves: Rating organ failure via adverse events using data mining in the intensive care unit. Artificial Intelligence in Medicine 43(3): 179-193 (2008)

Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio: An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering. ICINCO-ICSO 2008: 238-243

Pedro Nuno Miranda de Sousa, Miguel Rocha, Paulo Cortez, Miguel Rio: Multiconstrained Optimization of Networks with Multicast and Unicast Traffic. MMNS 2008: 139-150

Miguel Rocha, Paulo Cortez, José Neves: Evolution of neural networks for classification and regression. Neurocomputing 70(16-18): 2809-2816 (2007)

Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez: Automatic Provisioning of QoS Aware OSPF Configurations. JNW 2(2): 1-10 (2007)

Duarte Duque, Henrique Santos, Paulo Cortez: Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems. CIDM 2007: 362-367

Hélder Quintela, Manuel Filipe Santos, Paulo Cortez: Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. EPIA Workshops 2007: 124-132

Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio: Evolutionary Computation for Quality of Service Internet Routing Optimization. EvoWorkshops 2007: 71-80

Paulo Cortez, Miguel Rio, Pedro Nuno Miranda de Sousa, Miguel Rocha: Topology Aware Internet Traffic Forecasting Using Neural Networks. ICANN (2) 2007: 445-454

Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez: Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation. WWIC 2007: 141-152

Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves: Mortality assessment in intensive care units via adverse events using artificial neural networks. Artificial Intelligence in Medicine 36(3): 223-234 (2006)

Paulo Cortez, Manuel Portelinha, Sandra Rodrigues, Vasco Cadavez, Alfredo Teixeira: Lamb Meat Quality Assessment by Support Vector Machines. Neural Processing Letters 24(1): 41-51 (2006)

Duarte Duque, Henrique Santos, Paulo Cortez: The OBSERVER: An Intelligent and Automated Video Surveillance System. ICIAR (1) 2006: 898-909

Duarte Duque, Henrique Santos, Paulo Cortez: N-ary trees classifier. ICINCO-RA 2006: 457-460

Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa: Internet Traffic Forecasting using Neural Networks. IJCNN 2006: 2635-2642

Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez: Efficient OSPF Weight Allocation for Intra-domain QoS Optimization. IPOM 2006: 37-48

Pedro Gago, Manuel Filipe Santos, Santos Alvaro Silva, Paulo Cortez, José Neves, Lopes Gomes: INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine. Journal of Decision Systems 14(3): 241-259 (2005)

Duarte Duque, Henrique Santos, Paulo Cortez: Moving object detection unaffected by cast shadows, highlights and ghosts. ICIP (3) 2005: 413-416

Miguel Rocha, Paulo Cortez, José Neves: Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. IWANN 2005: 59-66

Paulo Cortez, Miguel Rocha, José Neves: Evolving Time Series Forecasting ARMA Models. J. Heuristics 10(4): 415-429 (2004)

Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves: Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. ICEIS (2) 2004: 401-408

Miguel Rocha, Paulo Cortez, José Neves: Evolutionary Neural Network Learning. EPIA 2003: 24-28

Miguel Rocha, Paulo Cortez, José Neves: Adaptive Learning in Changing Environments. ESANN 2003: 487-492

Paulo Cortez, Miguel Rocha, José Neves: A Lamarckian Approach for Neural Network Training. Neural Processing Letters 15(2): 105-116 (2002)

Paulo Cortez, Miguel Rocha, José Neves: Lamarckian training of feedforward neural networks. ESANN 2001: 153-158

Paulo Cortez, Miguel Rocha, José Neves: Genetic and Evolutionary Algorithms for Time Series Forecasting. IEA/AIE 2001: 393-402

Miguel Rocha, Carla Vilela, Paulo Cortez, José Neves: Viewing Scheduling Problems through Genetic and Evolutionary Algorithms. IPDPS Workshops 2000: 612-619

José Neves, Paulo Cortez: An artificial neural network-genetic based approach for time series forecasting. SBRN 1997: 9-13