P. Cortez

Paulo Cortez, Miguel Rocha, José Neves, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Quality of Service constrained routing optimization using Evolutionary Computation

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

Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems

Paulo Cortez, Henrique Santos, Duarte Duque, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Global and decomposition evolutionary support vector machine approaches for time series forecasting

Paulo Cortez, Juan Peralta, P. Cortez, 2014, Neural Computing and Applications.

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..

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction

Paulo Cortez, Pedro José Pereira, Rui Mendes, 2020, Expert Syst. Appl..

Using Deep Learning for Mobile Marketing User Conversion Prediction

Paulo Cortez, Rui Mendes, Antoine Moreau, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Unveiling the features of successful eBay smartphone sellers

Paulo Rita, Ana Teresa Silva, SÃ©rgio Moro, 2018, Journal of Retailing and Consumer Services.

Insights from a text mining survey on Expert Systems research from 2000 to 2016

Paulo Cortez, David King, Sérgio Moro, 2018, Expert Syst. J. Knowl. Eng..

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..

Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data

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

Stock market sentiment lexicon acquisition using microblogging data and statistical measures

Paulo Cortez, Nuno Oliveira, Nelson Areal, 2016, Decis. Support Syst..

An automated literature analysis on data mining applications to credit risk assessment

Paulo Rita, Paulo Cortez, Sérgio Moro, 2016 .

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.

A tutorial on using the rminer R package for data mining tasks

Paulo Cortez, P. Cortez, 2015 .

Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns

Paulo Cortez, Sérgio Moro, Paulo Rita, 2014, Neural Computing and Applications.

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

Paulo Cortez, P. Cortez, 2010, ICDM.

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

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

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..

Evolving Time Series Forecasting ARMA Models

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

Automatic visual detection of human behavior: A review from 2000 to 2014

Paulo Cortez, Palwasha Afsar, Henrique Santos, 2015, Expert Syst. Appl..

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

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

Lamb Meat Quality Assessment by Support Vector Machines

Paulo Cortez, Vasco Cadavez, Manuel Portelinha, 2006, Neural Processing Letters.

Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete

José Sena-Cruz, Paulo Cortez, Luís C. Neves, 2016 .

New Models for Strength and Deformability Parameter Calculation in Rock Masses Using Data-Mining Techniques

Manuel Filipe Santos, António Gomes Correia, Paulo Cortez, 2011 .

Alternative models for the calculation of the RMR and Q indexes for granite rock masses

P. Cortez, T. Miranda, A. Correia, 2007 .

Intelligent decision support in Intensive Care Medicine

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

Using data mining to predict secondary school student performance

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

Opening black box Data Mining models using Sensitivity Analysis

Paulo Cortez, Mark J. Embrechts, P. Cortez, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

A deep learning classifier for sentence classification in biomedical and computer science abstracts

Paulo Cortez, Sérgio Moro, Sérgio Gonçalves, 2019, Neural Computing and Applications.

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..

Evolutionary Symbiotic Feature Selection for Email Spam Detection

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

Evolution of neural networks for classification and regression

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

An evolutionary artificial neural network time series forecasting system

Paulo Cortez, José Machado, José Neves, 1996 .

Data pre-processing for database marketing

Manuel Filipe Santos, Paulo Cortez, Filipe Pinto, 2004 .

Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression

José Neves, Miguel Rocha, Paulo Cortez, 2005, IWANN.

Evolutionary Design of Neural Networks for Classification and Regression

Paulo Cortez, Miguel Rocha, José Neves, 2005 .

Evolutionary Support Vector Machines for Time Series Forecasting

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

Real-Time Forecasting by Bio-Inspired Models

Paulo Cortez, Miguel Rocha, José Neves, 2002 .

Using data mining for bank direct marketing: an application of the CRISP-DM methodology

Paulo Cortez, Sérgio Moro, Raul M. S. Laureano, 2011 .

Modern Optimization with R

Paulo Cortez, P. Cortez, 2014, Use R!.

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

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

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

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

Author placement in Computer Science: a study based on the careers of ACM Fellows

P. Cortez, J. Fernandes, António D. Costa, 2021, Scientometrics.

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

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

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

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

Twitter user geolocation using web country noun searches

Paulo Cortez, Maurizio Carpita, Paola Zola, 2019, Decis. Support Syst..

A Scalable and Automated Machine Learning Framework to Support Risk Management

P. Cortez, Luís Ferreira, A. Pilastri, 2020, ICAART.

An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management

Carlos Martins, Paulo Cortez, André Pilastri, 2020, ICAART.

Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features

Paulo Cortez, Rui Ribeiro, André Pilastri, 2020, AIAI.

Using Data Mining for Wine Quality Assessment

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

Social Media Cross-Source and Cross-Domain Sentiment Classification

Paola Zola, Paulo Cortez, Costantino Ragno, 2019, Int. J. Inf. Technol. Decis. Mak..

A Machine Learning Approach to Detect Violent Behaviour from Video

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

A Deep Learning Approach for Sentence Classification of Scientific Abstracts

Paulo Cortez, Sérgio Moro, Sérgio Gonçalves, 2018, ICANN.

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

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

Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology

Filipe Rodrigues, Rui Ribeiro, André Pilastri, 2020, ICEIS.

An Intelligent Alarm Management System for Large-Scale Telecommunication Companies

Paulo Cortez, Raúl Costa, Nuno Cachulo, 2009, EPIA.

Population Based Search

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

A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain

Paulo Cortez, João N.C. Gonçalves, M. Sameiro Carvalho, 2020, Decis. Support Syst..

RTSIMU: Real-Time Simulation tool for IMU sensors

Luís Miguel Matos, P. Cortez, A. Pilastri, 2023, Software Impacts.

Worker 4.0: A Textile Exoskeleton to Support Apparel Industry

P. Cortez, R. Sampaio, A. Pilastri, 2023, Human Factors for Apparel and Textile Engineering.

Symbiotic filtering for spam email detection

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

A decision support system based on a multivariate supervised regression strategy for estimating supply lead times

João N. C. Gonçalves, P. Cortez, M. Carvalho, 2023, Engineering Applications of Artificial Intelligence.

A realistic scooter rebalancing system via metaheuristics

Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, 2020, GECCO Companion.

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

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

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).

Business Intelligence in Banking : a Literature Analysis from 2002 to 2013 using Text Mining and Latent Dirichlet Allocation

P. Cortez, Sérgio Moro, P. Rita, 2015 .

Internet Traffic Forecasting using Neural Networks

Miguel Rio, Miguel Rocha, Paulo Cortez, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Multi-step time series prediction intervals using neuroevolution

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

Multi-objective Learning of Neural Network Time Series Prediction Intervals

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

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.

Topology Aware Internet Traffic Forecasting Using Neural Networks

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

Forecasting Internet traffic by Neural Networks under univariate and multivariate strategies

Pedro Sousa, Paulo Cortez, Miguel Rio, 2008 .

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

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

Traffic Engineering Approaches Using Multicriteria Optimization Techniques

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

Multiobjective Evolutionary Algorithms for intradomain routing optimization

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

QoS Constrained Internet Routing with Evolutionary Algorithms

Pedro Sousa, Miguel Rio, Miguel Rocha, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting

Paulo Cortez, Juan Peralta, P. Cortez, 2014, Appl. Soft Comput..

A framework for improving routing configurations using multi-objective optimization mechanisms

Pedro Sousa, Vítor Manuel Sá Pereira, Paulo Cortez, 2017 .

A Framework for Robust Traffic Engineering Using Evolutionary Computation

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

Evolutionary Computation for Quality of Service Internet Routing Optimization

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

Multiconstrained Optimization of Networks with Multicast and Unicast Traffic

Miguel Rio, Miguel Rocha, Paulo Cortez, 2008, MMNS.

Automatic Provisioning of QoS Aware OSPF Configurations

Miguel Rio, Miguel Rocha, Paulo Cortez, 2007, J. Networks.

Efficient OSPF Weight Allocation for Intra-domain QoS Optimization

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

Robust Optimization of Intradomain Routing Using Evolutionary Algorithms

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

An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering

Miguel Rio, Miguel Rocha, Paulo Cortez, 2008, ICINCO-ICSO.

Multi-step time series prediction intervals using neuroevolution

P. Cortez, R. Mendes, P. Pereira, 2019, Neural Computing and Applications.

Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter

Paulo Cortez, Nuno Oliveira, Nelson Areal, 2013, WIMS '13.

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

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

An OCR System for Numerals Applied to Energy Meters

J. H. S. Felix, P. C. Cortez, A. R. Alexandria, 2014, IEEE Latin America Transactions.

Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis

P. Cortez, Sérgio Moro, P. Rita, 2018, European Research on Management and Business Economics.

Automatic human trajectory destination prediction from video

Paulo Cortez, Palwasha Afsar, Henrique M. Dinis Santos, 2018, Expert Syst. Appl..

LAMB MEAT TENDERNESS PREDICTION USING NEURAL NETWORKS AND SENSITIVITY ANALYSIS

Paulo Cortez, Vasco Cadavez, Manuel Portelinha, 2005 .

Fourth special issue on knowledge discovery and business intelligence

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