Paulo Cortez

Paulo Cortez, Telmo Adão, Luís Magalhães, 2018, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Multiobjective Evolutionary Algorithms for intradomain routing optimization

Miguel Rio, Miguel Rocha, Paulo Cortez, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolutionary Computation for Quality of Service Internet Routing Optimization

Miguel Rio, Miguel Rocha, Paulo Cortez, 2009, EvoWorkshops.

A Machine Learning Approach to Detect Violent Behaviour from Video

Paulo Cortez, David Nova, André Ferreira, 2018, INTETAIN.

A Software Agent Distributed System for Dynamic Load Balancing

Paulo Cortez, Lino Costa, José Machado, 1996, European Simulation Multiconference.

A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features

Paulo Cortez, Sérgio Moro, Paulo Rita, 2017, Neural Computing and Applications.

Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble

Araceli Sanchis, Paulo Cortez, Germán Gutiérrez, 2013, Neurocomputing.

Evolving Artificial Neural Networks applied to generate virtual characters

Paulo Cortez, Juan Peralta, Joan Marc Llargues Asensio, 2014, 2014 IEEE Conference on Computational Intelligence and Games.

Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields

Paulo Cortez, João M. Fernandes, P. Cortez, 2020, Scientometrics.

Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2011 .

Automatic creation of stock market lexicons for sentiment analysis using StockTwits data

Paulo Cortez, Nuno Oliveira, Nelson Areal, 2014, IDEAS.

Mortality assessment in intensive care units via adverse events using artificial neural networks

Manuel Filipe Santos, José Neves, Paulo Cortez, 2006, Artif. Intell. Medicine.

Evolutionary Support Vector Machines for Time Series Forecasting

Paulo Cortez, Juan Peralta, P. Cortez, 2012, ICANN.

Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation

Pedro Sousa, Miguel Rio, Miguel Rocha, 2013, Int. J. Inf. Technol. Decis. Mak..

Time Series Forecasting by Evolutionary Neural Networks

Miguel Rocha, Paulo Cortez, José Neves, 2005 .

Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks

Manuel Filipe Santos, José Neves, Paulo Cortez, 2004, ICEIS.

Modelling Tyre-Road Noise with Data Mining Techniques

Joaquim Agostinho Barbosa Tinoco, Paulo Cortez, Elisabete F. Freitas, 2015 .

Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples

Paulo Cortez, André Pilastri, António João Silva, 2020, AIAI.

Evolving time-lagged feedforward neural networks for time series forecasting

Araceli Sanchis, Paulo Cortez, Germán Gutiérrez, 2011, GECCO '11.

Mining Rational Team Concert Repositories: A Case Study on a Software Project

Paulo Cortez, Pedro Cunha, André Ferreira, 2017, EPIA.

A divide‐and‐conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing

Paulo Cortez, Sérgio Moro, Paulo Rita, 2017, Expert Syst. J. Knowl. Eng..

Traffic Engineering Approaches Using Multicriteria Optimization Techniques

Miguel Rio, Miguel Rocha, Paulo Cortez, 2011, WWIC.

Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series

Araceli Sanchis, Paulo Cortez, Germán Gutiérrez, 2011, SOCO.

Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation☆

António Gomes Correia, Manuel Parente, Paulo Cortez, 2016 .

A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News

Paulo Cortez, Kelwin Fernandes, Pedro Vinagre, 2015, EPIA.

Multi-objective Learning of Neural Network Time Series Prediction Intervals

Paulo Cortez, Rui Mendes, Pedro José Pereira, 2017, EPIA.

Adaptive Learning in Changing Environments

José Neves, Miguel Rocha, Paulo Cortez, 2003, ESANN.

Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool

Paulo Cortez, P. Cortez, 2010, ICDM.

Data Mining via Redes Neuronais Artificiais e Máquinas de Vectores de Suporte

Paulo Cortez, Armando Cruz, 2009 .

INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine

Manuel Filipe Santos, José Neves, Paulo Cortez, 2005, J. Decis. Syst..

An intelligent decision support system for bridge safety assessment based on Data Mining models

Manuel Filipe Santos, Paulo Cortez, Hélder Quintela, 2008 .

Recent advances on knowledge discovery and business intelligence

Manuel Filipe Santos, Paulo Cortez, 2015, Expert Syst. J. Knowl. Eng..

The Data Mining Applied for the Prediction of Highway Roughness due to Overloaded Trucks

A. Gomes Correia, Paulo Cortez, Sigit Pranowo Hadiwardoyo, 2015 .

Data Mining with

Paulo Cortez, P. Cortez, 2005 .

A Data-driven Approach to Predict Hospital Length of Stay - A Portuguese Case Study

Paulo Cortez, Raul M. S. Laureano, Nuno Caetano, 2014, ICEIS.

Rating organ failure via adverse events using data mining in the intensive care unit

Manuel Filipe Santos, José Neves, Paulo Cortez, 2008, Artif. Intell. Medicine.

Fourth special issue on knowledge discovery and business intelligence

Manuel Filipe Santos, Paulo Cortez, 2018, Expert Syst. J. Knowl. Eng..

Use of data mining in design of soil improvement by jet grouting

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2014, International Conference on Industrial Technology.

Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI

Araceli Sanchis, Paulo Cortez, Germán Gutiérrez, 2012, 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems.

On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume

Paulo Cortez, Nuno Oliveira, Nelson Areal, 2013, EPIA.

Data-driven classification approaches for stability condition prediction of soil cutting slopes

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2017 .

Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters

Manuel Glez Bedia, Paulo Cortez, Juan Peralta, 2014, Expert Syst. Appl..

Robust Optimization of Intradomain Routing Using Evolutionary Algorithms

Pedro Sousa, Miguel Rio, Miguel Rocha, 2013, DCAI.

Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion

Paulo Cortez, Rui Castro Mendes, Antoine Moreau, 2019, IDEAL.

The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices

Paulo Cortez, Nuno Oliveira, Nelson Areal, 2017 .

Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time

António Gomes Correia, Paulo Cortez, Joaquim Tinoco, 2011, EPIA.

Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location

Maurizio Tesconi, Paulo Cortez, Paola Zola, 2020, ICCSA.

Short-term electric load forecasting using computational intelligence methods

Àngela Nebot, Francisco Mugica, Paulo Cortez, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data

Paulo Cortez, Nuno Oliveira, João Peixoto Ferreira, 2016, WIMS.

A data mining approach for Jet Grouting Uniaxial Compressive Strength prediction

António Gomes Correia, Paulo Cortez, Joaquim Tinoco, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Use of DM techniques in earthworks management: a case study

Manuel Parente, Paulo Cortez, A. Gomes Correia, 2014 .

Evolutionary Neural Network Learning

José Neves, Miguel Rocha, Paulo Cortez, 2003, EPIA.

Quality of Service constrained routing optimization using Evolutionary Computation

Miguel Rio, Miguel Rocha, Paulo Cortez, 2011, Appl. Soft Comput..

Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2014 .

Population Based Search

Paulo Cortez, P. Cortez, 2021, Use R!.

Corporate bankruptcy prediction using data mining techniques

Manuel Filipe Santos, Paulo Cortez, Hélder Quintela, 2006 .

A data-driven approach to predict the success of bank telemarketing

Paulo Cortez, Sérgio Moro, Paulo Rita, 2014, Decis. Support Syst..

A Categorical Clustering of Publishers for Mobile Performance Marketing

Paulo Cortez, Luís Garcia, Rui Mendes, 2018, SOCO-CISIS-ICEUTE.

Evolution of neural networks for classification and regression

José Neves, Miguel Rocha, Paulo Cortez, 2007, Neurocomputing.

Data mining no guide terrassements routiers

Paulo Cortez, A. Gomes Correia, Rui Filipe Pedreira Marques, 2008 .

Evolving Time Series Forecasting ARMA Models

José Neves, Miguel Rocha, Paulo Cortez, 2004, J. Heuristics.

Artificial neural networks applied to an earthwork construction database

Manuel Parente, A. Gomes Correia, Paulo Cortez, 2014, ICIT 2014.

Multi-step time series prediction intervals using neuroevolution

Paulo Cortez, Pedro José Pereira, Rui Mendes, 2019, Neural Computing and Applications.

Symbiotic filtering for spam email detection

Miguel Rio, Miguel Rocha, Paulo Cortez, 2011, Expert Syst. Appl..

Jet grouting column diameter prediction based on a data-driven approach

Paulo Cortez, Joaquim Tinoco, A. Gomes Correia, 2018 .

A Lamarckian Approach for Neural Network Training

José Neves, Miguel Rocha, Paulo Cortez, 2002, Neural Processing Letters.

A novel approach to predicting young’s modulus of jet grouting laboratory formulations over time using data mining techniques

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2014 .

Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

Paulo Cortez, P. Cortez, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Using Data Mining for Wine Quality Assessment

Paulo Cortez, Fernando Almeida, José Reis, 2009, Discovery Science.

Towards symbiotic spam e-mail filtering

Pedro Sousa, Paulo Cortez, Clotilde Lopes, 2010 .

Artificial intelligence applied to compaction rules and management

A. Gomes Correia, Paulo Cortez, Rui Filipe Pedreira Marques, 2008 .

Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations

Martin Stepnicka, Paulo Cortez, Juan Peralta, 2013, Expert Syst. Appl..

Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods

Martin Stepnicka, Paulo Cortez, Germán Gutiérrez, 2011, EUSFLAT Conf..

An integrated system for human action recognition from video using hidden Markov model

Paulo Cortez, Palwasha Afsar, Henrique Santos, 2015, CSE 2015.

Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2018 .

Topology Aware Internet Traffic Forecasting Using Neural Networks

Miguel Rio, Miguel Rocha, Paulo Cortez, 2007, ICANN.

Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation

Miguel Rio, Miguel Rocha, Paulo Cortez, 2007, WWIC.

Artificial intelligence in knowledge management for time series forecasting

Paulo Cortez, José Neves, 1997 .

Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines

Paulo Cortez, Nuno Santos, Duarte Duque, 2016, SOCO-CISIS-ICEUTE.

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds pdf

Paulo Cortez, Andre L. Ferreira, Alexandrine Ribeiro, 2020, ArXiv.

Previsão do comportamento mecânico de formulações laboratoriais de solo-cimento para colunas de jet grouting com recurso a máquina de vetores de suporte

Joaquim Agostinho Barbosa Tinoco, A. Gomes Correia, Paulo Cortez, 2012 .

13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011, Companion Material Proceedings, Dublin, Ireland, July 12-16, 2011

Paulo Cortez, Pier Luca Lanzi, Natalio Krasnogor, 2011, GECCO.

Using data mining to predict secondary school student performance

Paulo Cortez, Alice Maria Gonçalves Silva, P. Cortez, 2008 .

Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation

Paulo Cortez, Sérgio Moro, Paulo Rita, 2015, Expert Syst. Appl..

Multi‐scale Internet traffic forecasting using neural networks and time series methods

Pedro Sousa, Miguel Rio, Miguel Rocha, 2010, Expert Syst. J. Knowl. Eng..

Application of Data Mining Techniques in the Estimation of Mechanical Properties of Jet Grouting Laboratory Formulations over Time

António Gomes Correia, Joaquim Agostinho Barbosa Tinoco, Paulo Cortez, 2011 .

Efficient OSPF Weight Allocation for Intra-domain QoS Optimization

Miguel Rio, Miguel Rocha, Paulo Cortez, 2006, IPOM.

Prediction of surface distress using neural networks

A. Gomes Correia, Paulo Cortez, Sigit Pranowo Hadiwardoyo, 2017 .

Modern optimization in earthwork construction

Manuel Parente, A. Gomes Correia, Paulo Cortez, 2015 .

Proceedings of the 3rd International Conference on Ubiquitous Data Mining - Volume 1088

Paulo Cortez, João Gama, Nuno C. Marques, 2013 .

Evolutionary Symbiotic Feature Selection for Email Spam Detection

Pedro Sousa, Miguel Rio, Miguel Rocha, 2012, ICINCO.

Combining Genetic Algorithms, Neural Networks and Data Filtering for Time Series Forecasting

Paulo Cortez, José Neves, P. Cortez, 1998 .

Lamarckian training of feedforward neural networks

José Neves, Miguel Rocha, Paulo Cortez, 2001, ESANN.

A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process

Paulo Cortez, M. Sameiro Carvalho, Júlio Barros, 2021, Operations Research Perspectives.

A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

Fernando Batista, Paulo Cortez, Sérgio Moro, 2021 .

Business analytics in Industry 4.0: A systematic review

Paulo Cortez, António João Silva, André Luiz Pilastri, 2021, Expert Syst. J. Knowl. Eng..

K-means clustering combined with principal component analysis for material profiling in automotive supply chains

Paulo Cortez, M. Sameiro Carvalho, N.A. Jo�ã, 2021, European J. of Industrial Engineering.

Organ failure diagnosis by artificial neural networks

José Neves, Paulo Cortez, Manuel Filipe Santos, 2003 .

Intelligent decision support in Intensive Care Medicine

Paulo Cortez, Manuel Filipe Santos, Fernando Rua, 2006 .

Strength of corroded tapered plate girders under pure shear

Paulo Cortez, Hélder Quintela, Manuel Filipe Santos, 2006 .

The relationship between learning and evolution in static and dynamic environments

Paulo Cortez, Miguel Rocha, José Neves, 2000 .