Paulo Cortez

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 92

Top Venues

Expert Syst. J. Knowl. Eng.

Expert Syst. Appl.

Neural Comput. Appl.

AIAI (2)

Publications

Serena Strazzullo, Paulo Cortez, Sérgio Moro
Data science approaches for sustainable development. Expert Syst. J. Knowl. Eng. 41 (7) (2024)
Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri
AI4CITY - An Automated Machine Learning Platform for Smart Cities. SAC (2023)
Elizabeth Fernandes, Sérgio Moro, Paulo Cortez
Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities. Expert Syst. Appl. 221 (2023)
Luís Ferreira, Paulo Cortez
AutoOC: A Python module for automated multi-objective One-Class Classification. Softw. Impacts 18 (2023)
Paula Dias, Arthur Matta, André Luiz Pilastri, Luís Miguel Matos, Paulo Cortez
RTSIMU: Real-Time Simulation tool for IMU sensors. Softw. Impacts 17 (2023)
Luís Ferreira, Leopoldo Silva, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
International revenue share fraud prediction on the 5G edge using federated learning. Computing 105 (9) (2023)
Júlio Barros, João N. C. Gonçalves, Paulo Cortez, Maria Sameiro Carvalho
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times. Eng. Appl. Artif. Intell. 125 (2023)
Carolina Loureiro, Pedro José Pereira, Paulo Cortez, Pedro Guimarães, Carlos Moreira, André Pinho
Predicting Multiple Domain Queue Waiting Time via Machine Learning. ICCSA (1) (2023)
Paulo Cortez, Albert Bifet
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Cláudia Afonso, Arthur Matta, Luís Miguel Matos, Miguel Bastos Gomes, Antonina Santos, André Luiz Pilastri, Paulo Cortez
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case. AIAI (2) (2023)
Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
A Deep Learning-Based Decision Support System for Mobile Performance Marketing. Int. J. Inf. Technol. Decis. Mak. 22 (2) (2023)
Luís Ferreira, Paulo Cortez
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution. Appl. Soft Comput. 144 (2023)
Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. EPIA (1) (2023)
Rui Ribeiro, André Luiz 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 Comput. Appl. 35 (23) (2023)
Hugo Carvalho, André Luiz Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez
An Intelligent Decision Support System for Road Freight Transport. IDEAL (2022)
João Azevedo, Rui Ribeiro, Luís Miguel Matos, Rui Sousa, João Paulo Silva, André Luiz Pilastri, Paulo Cortez
Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. KES (2022)
João M. Fernandes, António Costa, Paulo Cortez
Author placement in Computer Science: a study based on the careers of ACM Fellows. Scientometrics 127 (1) (2022)
Cristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. IJCNN (2022)
Diogo Ribeiro, Luís Miguel Matos, Guilherme Moreira, André Luiz Pilastri, Paulo Cortez
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection. Comput. 11 (4) (2022)
Gonçalo Fontes, Luís Miguel Matos, Arthur Matta, André Luiz Pilastri, Paulo Cortez
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets. AIAI (1) (2022)
António João Silva, Paulo Cortez
An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories. AIAI (2) (2022)
Hugo Carvalho, André Luiz Pilastri, Rui Novais, Paulo Cortez
RanCoord - A random geographic coordinates generator for transport and logistics research and development activities. Softw. Impacts 14 (2022)
Luís Miguel Matos, João Azevedo, Arthur Matta, André Luiz Pilastri, Paulo Cortez, Rui Mendes
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Softw. Impacts 13 (2022)
Afonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Luiz Pilastri, Paulo Cortez
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning. AIAI (2) (2022)
Luísa Macedo, Luís Miguel Matos, Paulo Cortez, André Domingues, Guilherme Moreira, André Luiz Pilastri
A Machine Learning Approach for Spare Parts Lifetime Estimation. ICAART (3) (2022)
Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado
A Comparison of Automated Time Series Forecasting Tools for Smart Cities. EPIA (2022)
João Galvão, Diogo Ribeiro, Inês Araújo Machado, Filipa Ferreira, Júlio Gonçalves, Rui Faria, Guilherme Moreira, Carlos Costa, Paulo Cortez, Maribel Yasmina Santos
Bosch's Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support. RCIS (2022)
Luís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez
Using supervised and one-class automated machine learning for predictive maintenance. Appl. Soft Comput. 131 (2022)
Luís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. IDEAL (2022)
Luís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
A federated machine learning approach to detect international revenue share fraud on the 5G edge. SAC (2022)
Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Neural Comput. Appl. 34 (22) (2022)
Diogo Ribeiro, Luís Miguel Matos, Paulo Cortez, Guilherme Moreira, André Luiz Pilastri
A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. ICCSA (2) (2021)
Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. EPIA (2021)
Pedro José Pereira, Paulo Cortez, Rui Mendes
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Syst. Appl. 168 (2021)
António João Silva, Paulo Cortez
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption. AIAI (2021)
Paola Zola, Paulo Cortez, Eugenio Brentari
Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers. Neural Comput. Appl. 33 (4) (2021)
Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez
Prediction of Maintenance Equipment Failures Using Automated Machine Learning. IDEAL (2021)
Gabriel Coelho, Pedro Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. AIAI (2021)
Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. KES (2021)
Luís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. IJCNN (2021)
Rui Ribeiro, André Luiz 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. IDEAL (2021)
António João Silva, Paulo Cortez, Carlos Pereira, André Luiz Pilastri
Business analytics in Industry 4.0: A systematic review. Expert Syst. J. Knowl. Eng. 38 (7) (2021)
Luís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez, André Luiz Pilastri
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. IDEAL (2021)
João N. C. Gonçalves, Paulo Cortez, Maria Sameiro Carvalho, Nuno M. Frazão
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain. Decis. Support Syst. 142 (2021)
Paulo Cortez, Albert Bifet
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds. CoRR (2020)
Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, Paulo Cortez
Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology. ICEIS (1) (2020)
Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
A Scalable and Automated Machine Learning Framework to Support Risk Management. ICAART (Revised Selected Papers) (2020)
Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management. ICAART (2) (2020)
Paola Zola, Costantino Ragno, Paulo Cortez
A Google Trends spatial clustering approach for a worldwide Twitter user geolocation. Inf. Process. Manag. 57 (6) (2020)
António João Silva, Paulo Cortez, André Luiz Pilastri
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples. AIAI (2) (2020)
Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, Rui Mendes
A realistic scooter rebalancing system via metaheuristics. GECCO Companion (2020)
João M. Fernandes, Paulo Cortez
Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields. Scientometrics 125 (3) (2020)
Sérgio Gonçalves, Paulo Cortez, Sérgio Moro
A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Comput. Appl. 32 (11) (2020)
Paola Zola, Paulo Cortez, Maurizio Tesconi
Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location. ICCSA (5) (2020)
Paulo Cortez, Pedro José Pereira, Rui Mendes
Multi-step time series prediction intervals using neuroevolution. Neural Comput. Appl. 32 (13) (2020)
Rui Ribeiro, André Luiz 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. AIAI (2) (2020)
Paola Zola, Paulo Cortez, Costantino Ragno, Eugenio Brentari
Social Media Cross-Source and Cross-Domain Sentiment Classification. Int. J. Inf. Technol. Decis. Mak. 18 (5) (2019)
Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
Using Deep Learning for Mobile Marketing User Conversion Prediction. IJCNN (2019)
Paola Zola, Paulo Cortez, Maurizio Carpita
Twitter user geolocation using web country noun searches. Decis. Support Syst. 120 (2019)
Luís Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau
Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. IDEAL (1) (2019)
Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau
Using Neuroevolution for Predicting Mobile Marketing Conversion. EPIA (2) (2019)
Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
Erratum for "Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing" by Joaquim Tinoco, A. Gomes Correia, Paulo Cortez, and David G. Toll. J. Comput. Civ. Eng. 32 (5) (2018)
Sérgio Gonçalves, Paulo Cortez, Sérgio Moro
A Deep Learning Approach for Sentence Classification of Scientific Abstracts. ICANN (3) (2018)
Susana Silva, Paulo Cortez, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia
A Categorical Clustering of Publishers for Mobile Performance Marketing. SOCO-CISIS-ICEUTE (2018)
Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features. J. Comput. Civ. Eng. 32 (4) (2018)
Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction. IEEE Conf. on Intelligent Systems (2018)
Palwasha Afsar, Paulo Cortez, Henrique M. Dinis Santos
Automatic human trajectory destination prediction from video. Expert Syst. Appl. 110 (2018)
Sérgio Moro, Paulo Cortez, Paulo Rita
A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing. Expert Syst. J. Knowl. Eng. 35 (3) (2018)
Paulo Cortez, Manuel Filipe Santos
Fourth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 35 (4) (2018)
Paulo Cortez, Sérgio Moro, Paulo Rita, David King, Jon Hall
Insights from a text mining survey on Expert Systems research from 2000 to 2016. Expert Syst. J. Knowl. Eng. 35 (3) (2018)
Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing. J. Comput. Civ. Eng. 32 (2) (2018)
David Nova, André L. Ferreira, Paulo Cortez
A Machine Learning Approach to Detect Violent Behaviour from Video. INTETAIN (2018)
Paulo Cortez, Manuel Filipe Santos
Third special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 34 (1) (2017)
Nuno Oliveira, Paulo Cortez, Nelson Areal
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Syst. Appl. 73 (2017)
Pedro Cunha, André L. Ferreira, Paulo Cortez
Mining Rational Team Concert Repositories: A Case Study on a Software Project. EPIA (2017)
Sérgio Moro, Paulo Cortez, Paulo Rita
A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features. Neural Comput. Appl. 28 (6) (2017)
Pedro José Pereira, Paulo Cortez, Rui Mendes
Multi-objective Learning of Neural Network Time Series Prediction Intervals. EPIA (2017)
Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34 (1) (2017)
Palwasha Afsar, Paulo Cortez, Henrique Santos
Human Skeleton Detection from Semi-constrained Environment Video. VISIGRAPP (5: VISAPP) (2017)
Paulo Cortez, Luís Miguel Matos, Pedro José Pereira, Nuno Santos, Duarte Duque
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines. SOCO-CISIS-ICEUTE (2016)
Nuno Oliveira, Paulo Cortez, Nelson Areal
Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decis. Support Syst. 85 (2016)
Paulo Cortez, Nuno Oliveira, João Peixoto Ferreira
Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data. WIMS (2016)
Kelwin Fernandes, Pedro Vinagre, Paulo Cortez
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. EPIA (2015)
Sérgio Moro, Paulo Cortez, Paulo Rita
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Syst. Appl. 42 (3) (2015)
Palwasha Afsar, Paulo Cortez, Henrique Santos
Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Syst. Appl. 42 (20) (2015)
Sérgio Moro, Paulo Cortez, Paulo Rita
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns. Neural Comput. Appl. 26 (1) (2015)
Manuel Parente, Paulo Cortez, António Gomes Correia
An evolutionary multi-objective optimization system for earthworks. Expert Syst. Appl. 42 (19) (2015)
Manuel Parente, Paulo Cortez, António Gomes Correia
Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks. EMO (2) (2015)
Paulo Cortez, Manuel Filipe Santos
Recent advances on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 32 (3) (2015)
Palwasha Afsar, Paulo Cortez, Henrique Santos
Automatic Human Action Recognition from Video Using Hidden Markov Model. CSE (2015)
Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha
Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. EMO (2) (2015)
Sérgio Moro, Paulo Cortez, Paulo Rita
A data-driven approach to predict the success of bank telemarketing. Decis. Support Syst. 62 (2014)
Nuno Caetano, Paulo Cortez, Raul M. S. Laureano
Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodology. ICEIS (Revised Selected Papers) (2014)
Joan Marc Llargues Asensio, Juan Peralta Donate, Paulo Cortez
Evolving Artificial Neural Networks applied to generate virtual characters. CIG (2014)
Joan Marc Llargues Asensio, Juan Peralta, Raúl Arrabales, Manuel González Bedia, Paulo Cortez, Antonio M. López Peña
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters. Expert Syst. Appl. 41 (16) (2014)
Nuno Oliveira, Paulo Cortez, Nelson Areal
Automatic creation of stock market lexicons for sentiment analysis using StockTwits data. IDEAS (2014)
Paulo Cortez, Juan Peralta Donate
Global and decomposition evolutionary support vector machine approaches for time series forecasting. Neural Comput. Appl. 25 (5) (2014)
Juan Peralta Donate, Paulo Cortez
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. Appl. Soft Comput. 23 (2014)
Nuno Caetano, Raul M. S. Laureano, Paulo Cortez
A Data-driven Approach to Predict Hospital Length of Stay - A Portuguese Case Study. ICEIS (1) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paulo Cortez