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Viewing Publication 1 - 78 from 78

2023

Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunitiesElizabeth Fernandes, Sérgio Moro, Paulo Cortez 0001. eswa, 221:119795, July 2023. [doi]

A Deep Learning-Based Decision Support System for Mobile Performance MarketingLuís Miguel Matos, Paulo Cortez 0001, Rui Mendes 0001, Antoine Moreau. ijitdm, 22(2):679-703, March 2023. [doi]

2022

Predicting Yarn Breaks in Textile Fabrics: A Machine Learning ApproachJoão Azevedo, Rui Ribeiro, Luís Miguel Matos, Rui Sousa, João Paulo Silva, André Luiz Pilastri, Paulo Cortez 0001. kes 2022: 2301-2310 [doi]

RanCoord - A random geographic coordinates generator for transport and logistics research and development activitiesHugo Carvalho, André Luiz Pilastri, Rui Novais, Paulo Cortez 0001. simpa, 14:100428, December 2022. [doi]

An Intelligent Decision Support System for Road Freight TransportHugo Carvalho, André Luiz Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez 0001. ideal 2022: 146-156 [doi]

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audioGabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez 0001. nca, 34(22):19485-19499, 2022. [doi]

Author placement in Computer Science: a study based on the careers of ACM FellowsJoão M. Fernandes, António Costa, Paulo Cortez 0001. scientometrics, 127(1):351-368, 2022. [doi]

A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial SensorsCristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez 0001. ijcnn 2022: 1-8 [doi]

Using supervised and one-class automated machine learning for predictive maintenanceLuís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez 0001. asc, 131:109820, 2022. [doi]

A federated machine learning approach to detect international revenue share fraud on the 5G edgeLuís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez 0001, André Luiz Pilastri. SAC 2022: 1432-1439 [doi]

An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced DatasetsGonçalo Fontes, Luís Miguel Matos, Arthur Matta, André Luiz Pilastri, Paulo Cortez 0001. ifip12 2022: 85-95 [doi]

Bosch's Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision SupportJoão Galvão, Diogo Ribeiro, Inês Araújo Machado, Filipa Ferreira, Júlio Gonçalves, Rui Faria, Guilherme Moreira, Carlos Costa 0002, Paulo Cortez 0001, Maribel Yasmina Santos. rcis 2022: 580-596 [doi]

A Machine Learning Approach for Spare Parts Lifetime EstimationLuísa Macedo, Luís Miguel Matos, Paulo Cortez 0001, André Domingues, Guilherme Moreira, André Luiz Pilastri. icaart 2022: 765-772 [doi]

Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessingLuís Miguel Matos, João Azevedo, Arthur Matta, André Luiz Pilastri, Paulo Cortez 0001, Rui Mendes 0001. simpa, 13:100359, 2022. [doi]

A Comparison of Automated Time Series Forecasting Tools for Smart CitiesPedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez 0001, Dalila Durães, António Silva 0004, José Machado 0001. epia 2022: 551-562 [doi]

Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly DetectionDiogo Ribeiro, Luís Miguel Matos, Guilherme Moreira, André Luiz Pilastri, Paulo Cortez 0001. computers, 11(4):54, 2022. [doi]

A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales ForecastingLuís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez 0001. ideal 2022: 465-473 [doi]

An Industry 4.0 Intelligent Decision Support System for Analytical LaboratoriesAntónio João Silva, Paulo Cortez 0001. ifip12 2022: 159-169 [doi]

Production Time Prediction for Contract Manufacturing Industries Using Automated Machine LearningAfonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Luiz Pilastri, Paulo Cortez 0001. ifip12 2022: 262-273 [doi]

2021

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly DetectionGabriel Coelho, Pedro Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez 0001, André Luiz Pilastri. ifip12 2021: 337-348 [doi]

A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoostLuís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez 0001. ijcnn 2021: 1-8 [doi]

Prediction of Maintenance Equipment Failures Using Automated Machine LearningLuís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez 0001. ideal 2021: 259-267 [doi]

A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chainJoão N. C. Gonçalves, Paulo Cortez 0001, Maria Sameiro Carvalho, Nuno M. Frazão. dss, 142:113452, 2021. [doi]

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production QualityLuís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez 0001, André Luiz Pilastri. ideal 2021: 3-11 [doi]

Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion predictionPedro José Pereira, Paulo Cortez 0001, Rui Mendes 0001. eswa, 168:114287, 2021. [doi]

Using Deep Autoencoders for In-vehicle Audio Anomaly DetectionPedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez 0001. kes 2021: 298-307 [doi]

A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality DataPedro José Pereira, Adriana Pereira, Paulo Cortez 0001, André Luiz Pilastri. epia 2021: 561-572 [doi]

A Comparison of Anomaly Detection Methods for Industrial Screw TighteningDiogo Ribeiro, Luís Miguel Matos, Paulo Cortez 0001, Guilherme Moreira, André Luiz Pilastri. iccsa 2021: 485-500 [doi]

An Intelligent Decision Support System for Production Planning in Garments IndustryRui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Alves, Paulo Cortez 0001. ideal 2021: 378-386 [doi]

Business analytics in Industry 4.0: A systematic reviewAntónio João Silva, Paulo Cortez 0001, Carlos Pereira, André Luiz Pilastri. es, 38(7), 2021. [doi]

An Automated Machine Learning Approach for Predicting Chemical Laboratory Material ConsumptionAntónio João Silva, Paulo Cortez 0001. ifip12 2021: 105-116 [doi]

Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiersPaola Zola, Paulo Cortez 0001, Eugenio Brentari. nca, 33(4):1245-1260, 2021. [doi]

2020

Multi-step time series prediction intervals using neuroevolutionPaulo Cortez 0001, Pedro José Pereira, Rui Mendes 0001. nca, 32(13):8939-8953, 2020. [doi]

Fifth special issue on knowledge discovery and business intelligencePaulo Cortez 0001, Albert Bifet. es, 37(6), 2020. [doi]

Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fieldsJoão M. Fernandes, Paulo Cortez 0001. scientometrics, 125(3):2773-2792, 2020. [doi]

A Scalable and Automated Machine Learning Framework to Support Risk ManagementLuís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez 0001. icaart 2021: 291-307 [doi]

An Automated and Distributed Machine Learning Framework for Telecommunications Risk ManagementLuís Ferreira, André Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez 0001. icaart 2020: 99-107 [doi]

A deep learning classifier for sentence classification in biomedical and computer science abstractsSérgio Gonçalves, Paulo Cortez 0001, Sérgio Moro. nca, 32(11):6793-6807, 2020. [doi]

Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM MethodologyRui Ribeiro, André Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, Paulo Cortez 0001. ICEIS 2020: 548-555 [doi]

Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing FeaturesRui Ribeiro, André Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado, Paulo Cortez 0001. ifip12 2020: 244-255 [doi]

Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of SamplesAntónio João Silva, Paulo Cortez 0001, André Pilastri. ifip12 2020: 232-243 [doi]

A Google Trends spatial clustering approach for a worldwide Twitter user geolocationPaola Zola, Costantino Ragno, Paulo Cortez 0001. ipm, 57(6):102312, 2020. [doi]

Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home LocationPaola Zola, Paulo Cortez 0001, Maurizio Tesconi. iccsa 2020: 526-534 [doi]

2019

2018

Insights from a text mining survey on Expert Systems research from 2000 to 2016Paulo Cortez 0001, Sérgio Moro, Paulo Rita, David King, Jon Hall. es, 35(3), 2018. [doi]

Fourth special issue on knowledge discovery and business intelligencePaulo Cortez 0001, Manuel Filipe Santos. es, 35(4), 2018. [doi]

Automatic human trajectory destination prediction from videoPalwasha Afsar, Paulo Cortez 0001, Henrique M. Dinis Santos. eswa, 110:41-51, 2018. [doi]

A Deep Learning Approach for Sentence Classification of Scientific AbstractsSérgio Gonçalves, Paulo Cortez 0001, Sérgio Moro. icann 2018: 479-488 [doi]

A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion PredictionLuís Miguel Matos, Paulo Cortez 0001, Rui Mendes, Antoine Moreau. is 2018: 140-146 [doi]

A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketingSérgio Moro, Paulo Cortez 0001, Paulo Rita. es, 35(3), 2018. [doi]

A Machine Learning Approach to Detect Violent Behaviour from VideoDavid Nova, André Ferreira, Paulo Cortez 0001. intetain 2019: 85-94 [doi]

A Categorical Clustering of Publishers for Mobile Performance MarketingSusana Silva, Paulo Cortez 0001, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia. softcomp 2019: 145-154 [doi]

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. TollJoaquim Tinoco, António Gomes Correia, Paulo Cortez 0001, David G. Toll. jccee, 32(5), 2018. [doi]

Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data FeaturesJoaquim Tinoco, António Gomes Correia, Paulo Cortez 0001, David G. Toll. jccee, 32(4), 2018. [doi]

Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft ComputingJoaquim Tinoco, António Gomes Correia, Paulo Cortez 0001, David G. Toll. jccee, 32(2), 2018. [doi]

2017

Third special issue on knowledge discovery and business intelligencePaulo Cortez 0001, Manuel Filipe Santos. es, 34(1), 2017. [doi]

The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indicesNuno Oliveira 0002, Paulo Cortez 0001, Nelson Areal. eswa, 73:125-144, 2017. [doi]

Human Skeleton Detection from Semi-constrained Environment VideoPalwasha Afsar, Paulo Cortez 0001, Henrique Santos. visapp 2017: 384-389 [doi]

Mining Rational Team Concert Repositories: A Case Study on a Software ProjectPedro Cunha, André Ferreira, Paulo Cortez 0001. epia 2017: 537-548 [doi]

Label Ranking ForestsCláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez 0001. es, 34(1), 2017. [doi]

A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel featuresSérgio Moro, Paulo Cortez 0001, Paulo Rita. nca, 28(6):1515-1523, 2017. [doi]

Multi-objective Learning of Neural Network Time Series Prediction IntervalsPedro José Pereira, Paulo Cortez 0001, Rui Mendes. epia 2017: 561-572 [doi]

2016

2015

Automatic Human Action Recognition from Video Using Hidden Markov ModelPalwasha Afsar, Paulo Cortez 0001, Henrique Santos. cse 2015: 105-109 [doi]

A Proactive Intelligent Decision Support System for Predicting the Popularity of Online NewsKelwin Fernandes, Pedro Vinagre, Paulo Cortez 0001. epia 2015: 535-546 [doi]

2014

Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM MethodologyNuno Caetano, Paulo Cortez 0001, Raul M. S. Laureano. ICEIS 2015: 149-166 [doi]

2004

Multiple Organ Failure Diagnosis Using Adverse Events and Neural NetworksÁlvaro M. Silva, Paulo Cortez 0001, Manuel Santos, Lopes Gomes, José Neves 0001. ICEIS 2006: 127-134 [doi]

2002

Modelos inspirados na natureza para a previsão de séries temporaisPaulo Cortez 0001. PhD thesis, University of Minho, Portugal, 2002. [doi]

2001

Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimizationMiguel Rocha, Rui Mendes 0001, Paulo Cortez 0001, José Neves 0001. cec 2001: 671-678 [doi]

1999

A Unified Framework for Data Modeling on Medical Information SystemsJosé Neves, Paulo Cortez 0001, Miguel Rocha, António Abelha, José Machado 0001, Victor Alves, Sousa Basto, Henrique Botelho, João Neves. mie 1999: 68-71 [doi]

1996

A Software Agent Distributed System for Dynamic Load BalancingJosé Neves, Jose Machado, Lino Costa, Paulo Cortez 0001. esm 1996: 80-84

1995

A neural network based time series forecasting systemPaulo Cortez 0001, Miguel Rocha, José Machado 0001, José Neves 0001. icnn 1995: 2689-2693 [doi]

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