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ORCIDPaulo Cortez 0001
Person information
- affiliation: University of Minho, Guimaraes, Portugal
Other persons with the same name
- Paulo Cortez — disambiguation page
- Paulo Cortez 0002
![[0000-0002-4020-3019]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4020-3019")
(aka: Paulo César Cortez) — Federal University of Ceará, Fortaleza, Brazil
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Books and Theses
- 2002
[b1]Paulo Cortez:
Modelos inspirados na natureza para a previsão de séries temporais. University of Minho, Portugal, 2002
Journal Articles
- 2023
- [j65]Júlio Barros, Francisco Cunha, Cândido Martins, Paulo Pedrosa, Paulo Cortez:
Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry. IEEE Access 11: 8119-8135 (2023) - [j64]Luís Ferreira, Paulo Cortez:
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution. Appl. Soft Comput. 144: 110496 (2023) - [j63]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): 1907-1932 (2023) - [j62]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: 106671 (2023) - [j61]Paulo Cortez, Albert Bifet:
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. 40(10) (2023) - [j60]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: 119795 (2023) - [j59]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): 679-703 (2023) - [j58]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): 17375-17395 (2023) - [j57]Paula Dias, Arthur Matta, André Luiz Pilastri, Luís Miguel Matos, Paulo Cortez:
RTSIMU: Real-Time Simulation tool for IMU sensors. Softw. Impacts 17: 100522 (2023) - [j56]Luís Ferreira, Paulo Cortez:
AutoOC: A Python module for automated multi-objective One-Class Classification. Softw. Impacts 18: 100590 (2023) - 2022
- [j55]Luís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez:
Using supervised and one-class automated machine learning for predictive maintenance. Appl. Soft Comput. 131: 109820 (2022) - [j54]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): 54 (2022) - [j53]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): 19485-19499 (2022) - [j52]João M. Fernandes, António Costa, Paulo Cortez:
Author placement in Computer Science: a study based on the careers of ACM Fellows. Scientometrics 127(1): 351-368 (2022) - [j51]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: 100359 (2022) - [j50]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: 100428 (2022) - 2021
- [j49]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: 113452 (2021) - [j48]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) - [j47]Pedro José Pereira, Paulo Cortez, Rui Mendes:
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Syst. Appl. 168: 114287 (2021) - [j46]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): 1245-1260 (2021) - 2020
- [j45]Paulo Cortez, Albert Bifet:
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j44]Paola Zola, Costantino Ragno, Paulo Cortez:
A Google Trends spatial clustering approach for a worldwide Twitter user geolocation. Inf. Process. Manag. 57(6): 102312 (2020) - [j43]Sérgio Gonçalves, Paulo Cortez, Sérgio Moro:
A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Comput. Appl. 32(11): 6793-6807 (2020) - [j42]Paulo Cortez, Pedro José Pereira, Rui Mendes:
Multi-step time series prediction intervals using neuroevolution. Neural Comput. Appl. 32(13): 8939-8953 (2020) - [j41]João M. Fernandes, Paulo Cortez:
Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields. Scientometrics 125(3): 2773-2792 (2020) - 2019
- [j40]Paola Zola, Paulo Cortez, Maurizio Carpita:
Twitter user geolocation using web country noun searches. Decis. Support Syst. 120: 50-59 (2019) - [j39]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): 1469-1499 (2019) - 2018
- [j38]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) - [j37]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) - [j36]Paulo Cortez, Manuel Filipe Santos:
Fourth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 35(4) (2018) - [j35]Palwasha Afsar, Paulo Cortez, Henrique M. Dinis Santos:
Automatic human trajectory destination prediction from video. Expert Syst. Appl. 110: 41-51 (2018) - [j34]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) - [j33]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) - [j32]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) - 2017
- [j31]Paulo Cortez, Manuel Filipe Santos:
Third special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 34(1) (2017) - [j30]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez:
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34(1) (2017) - [j29]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: 125-144 (2017) - [j28]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): 1515-1523 (2017) - 2016
- [j27]Nuno Oliveira, Paulo Cortez, Nelson Areal:
Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decis. Support Syst. 85: 62-73 (2016) - 2015
- [j26]Paulo Cortez, Manuel Filipe Santos:
Recent advances on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 32(3): 433-434 (2015) - [j25]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): 1314-1324 (2015) - [j24]Manuel Parente, Paulo Cortez, António Gomes Correia:
An evolutionary multi-objective optimization system for earthworks. Expert Syst. Appl. 42(19): 6674-6685 (2015) - [j23]Palwasha Afsar, Paulo Cortez, Henrique Santos:
Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Syst. Appl. 42(20): 6935-6956 (2015) - [j22]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): 131-139 (2015) - 2014
- [j21]Juan Peralta Donate, Paulo Cortez:
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. Appl. Soft Comput. 23: 432-443 (2014) - [j20]Sérgio Moro, Paulo Cortez, Paulo Rita:
A data-driven approach to predict the success of bank telemarketing. Decis. Support Syst. 62: 22-31 (2014) - [j19]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): 7281-7290 (2014) - [j18]Paulo Cortez, Juan Peralta Donate:
Global and decomposition evolutionary support vector machine approaches for time series forecasting. Neural Comput. Appl. 25(5): 1053-1062 (2014) - 2013
- [j17]Paulo Cortez, Manuel Filipe Santos:
Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. 30(4): 283-284 (2013) - [j16]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) - [j15]Pedro Sousa, Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio:
Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation. Int. J. Inf. Technol. Decis. Mak. 12(4): 863- (2013) - [j14]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) - [j13]Paulo Cortez, Mark J. Embrechts:
Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. 225: 1-17 (2013) - 2012
- [j12]Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Sousa:
Multi-scale Internet traffic forecasting using neural networks and time series methods. Expert Syst. J. Knowl. Eng. 29(2): 143-155 (2012) - 2011
- [j11]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) - [j10]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) - 2009
- [j9]Paulo Cortez, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis:
Modeling wine preferences by data mining from physicochemical properties. Decis. Support Syst. 47(4): 547-553 (2009) - 2008
- [j8]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. Artif. Intell. Medicine 43(3): 179-193 (2008) - 2007
- [j7]Miguel Rocha, Paulo Cortez, José Neves:
Evolution of neural networks for classification and regression. Neurocomputing 70(16-18): 2809-2816 (2007) - [j6]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Automatic Provisioning of QoS Aware OSPF Configurations. J. Networks 2(2): 1-10 (2007) - 2006
- [j5]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. Artif. Intell. Medicine 36(3): 223-234 (2006) - [j4]Paulo Cortez, Manuel Portelinha, Sandra Rodrigues, Vasco Cadavez, Alfredo Teixeira:
Lamb Meat Quality Assessment by Support Vector Machines. Neural Process. Lett. 24(1): 41-51 (2006) - 2005
- [j3]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. J. Decis. Syst. 14(3): 241-259 (2005) - 2004
- [j2]Paulo Cortez, Miguel Rocha, José Neves:
Evolving Time Series Forecasting ARMA Models. J. Heuristics 10(4): 415-429 (2004) - 2002
- [j1]Paulo Cortez, Miguel Rocha, José Neves:
A Lamarckian Approach for Neural Network Training. Neural Process. Lett. 15(2): 105-116 (2002)
Conference and Workshop Papers
- 2023
- [c101]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: 311-322 - [c100]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: 404-421 - [c99]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: 340-351 - [c98]Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri:
AI4CITY - An Automated Machine Learning Platform for Smart Cities. SAC 2023: 886-889 - 2022
- [c97]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: 551-562 - [c96]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: 765-772 - [c95]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: 146-156 - [c94]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: 465-473 - [c93]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: 85-95 - [c92]António João Silva, Paulo Cortez:
An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories. AIAI (2) 2022: 159-169 - [c91]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: 262-273 - [c90]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: 1-8 - [c89]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: 2301-2310 - [c88]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: 580-596 - [c87]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: 1432-1439 - 2021
- [c86]Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri:
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. EPIA 2021: 561-572 - [c85]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: 485-500 - [c84]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: 3-11 - [c83]Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez:
Prediction of Maintenance Equipment Failures Using Automated Machine Learning. IDEAL 2021: 259-267 - [c82]Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez:
An Intelligent Decision Support System for Production Planning in Garments Industry. IDEAL 2021: 378-386 - [c81]António João Silva, Paulo Cortez:
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption. AIAI 2021: 105-116 - [c80]Gabriel Coelho, Pedro José 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: 337-348 - [c79]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: 1-8 - [c78]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: 298-307 - 2020
- [c77]Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, Rui Mendes:
A realistic scooter rebalancing system via metaheuristics. GECCO Companion 2020: 265-266 - [c76]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: 99-107 - [c75]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: 291-307 - [c74]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: 526-534 - [c73]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: 548-555 - [c72]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: 232-243 - [c71]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: 244-255 - 2019
- [c70]Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau:
Using Neuroevolution for Predicting Mobile Marketing Conversion. EPIA (2) 2019: 373-384 - [c69]Luís Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau:
Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. IDEAL (1) 2019: 60-67 - [c68]Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau:
Using Deep Learning for Mobile Marketing User Conversion Prediction. IJCNN 2019: 1-8 - 2018
- [c67]Sérgio Gonçalves, Paulo Cortez, Sérgio Moro:
A Deep Learning Approach for Sentence Classification of Scientific Abstracts. ICANN (3) 2018: 479-488 - [c66]David Nova, André L. Ferreira, Paulo Cortez:
A Machine Learning Approach to Detect Violent Behaviour from Video. INTETAIN 2018: 85-94 - [c65]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: 140-146 - [c64]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: 145-154 - 2017
- [c63]Pedro Cunha, André L. Ferreira, Paulo Cortez:
Mining Rational Team Concert Repositories: A Case Study on a Software Project. EPIA 2017: 537-548 - [c62]Pedro José Pereira, Paulo Cortez, Rui Mendes:
Multi-objective Learning of Neural Network Time Series Prediction Intervals. EPIA 2017: 561-572 - [c61]Palwasha Afsar, Paulo Cortez, Henrique Santos:
Human Skeleton Detection from Semi-constrained Environment Video. VISIGRAPP (5: VISAPP) 2017: 384-389 - 2016
- [c60]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: 267-276 - [c59]Paulo Cortez, Nuno Oliveira, João Peixoto Ferreira:
Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data. WIMS 2016: 23:1-23:10 - 2015
- [c58]Palwasha Afsar, Paulo Cortez, Henrique Santos:
Automatic Human Action Recognition from Video Using Hidden Markov Model. CSE 2015: 105-109 - [c57]Manuel Parente, Paulo Cortez, António Gomes Correia:
Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks. EMO (2) 2015: 514-528 - [c56]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: 573-587 - [c55]Kelwin Fernandes, Pedro Vinagre, Paulo Cortez:
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. EPIA 2015: 535-546 - 2014
- [c54]Joan Marc Llargues Asensio, Juan Peralta Donate, Paulo Cortez:
Evolving Artificial Neural Networks applied to generate virtual characters. CIG 2014: 1-5 - [c53]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: 149-166 - [c52]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: 407-414 - [c51]Nuno Oliveira, Paulo Cortez, Nelson Areal:
Automatic creation of stock market lexicons for sentiment analysis using StockTwits data. IDEAS 2014: 115-123 - 2013
- [c50]Vitor Pereira, Miguel Rocha, Paulo Cortez, Miguel Rio, Pedro Sousa:
A Framework for Robust Traffic Engineering Using Evolutionary Computation. AIMS 2013: 1-12 - [c49]Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Robust Optimization of Intradomain Routing Using Evolutionary Algorithms. DCAI 2013: 201-208 - [c48]Nuno Oliveira, Paulo Cortez, Nelson Areal:
On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume. EPIA 2013: 355-365 - [c47]Sergio Jurado, Juan Peralta, Àngela Nebot, Francisco Mugica, Paulo Cortez:
Short-term electric load forecasting using computational intelligence methods. FUZZ-IEEE 2013: 1-8 - [c46]Nuno Oliveira, Paulo Cortez, Nelson Areal:
Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter. WIMS 2013: 31 - 2012
- [c45]Borja Prior González, Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel:
Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. EAIS 2012: 186-191 - [c44]Paulo Cortez, Juan Peralta Donate:
Evolutionary Support Vector Machines for Time Series Forecasting. ICANN (2) 2012: 523-530 - [c43]Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa:
Evolutionary Symbiotic Feature Selection for Email Spam Detection. ICINCO (1) 2012: 159-164 - [c42]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 - 2011
- [c41]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 - [c40]Paulo Cortez, Mark J. Embrechts:
Opening black box Data Mining models using Sensitivity Analysis. CIDM 2011: 341-348 - [c39]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 - [c38]Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavrickova, Germán Gutiérrez:
Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. EUSFLAT Conf. 2011: 464-471 - [c37]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 - [c36]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 - [c35]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 - [c34]Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Traffic Engineering Approaches Using Multicriteria Optimization Techniques. WWIC 2011: 104-115 - 2010
- [c33]Paulo Cortez:
Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines. IJCNN 2010: 1-8 - [c32]Paulo Cortez, André Correia, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio:
Spam Email Filtering Using Network-Level Properties. ICDM 2010: 476-489 - [c31]Paulo Cortez:
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool. ICDM 2010: 572-583 - 2009
- [c30]Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis:
Using Data Mining for Wine Quality Assessment. Discovery Science 2009: 66-79 - [c29]Raúl Costa, Nuno Cachulo, Paulo Cortez:
An Intelligent Alarm Management System for Large-Scale Telecommunication Companies. EPIA 2009: 386-399 - [c28]Joaquim Tinoco, António Gomes Correia, Paulo Cortez:
A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction. NaBIC 2009: 553-558 - [c27]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 - 2008
- [c26]Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering. ICINCO-ICSO 2008: 238-243 - [c25]Pedro Nuno Miranda de Sousa, Miguel Rocha, Paulo Cortez, Miguel Rio:
Multiconstrained Optimization of Networks with Multicast and Unicast Traffic. MMNS 2008: 139-150 - 2007
- [c24]Duarte Duque, Henrique Santos, Paulo Cortez:
Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems. CIDM 2007: 362-367 - [c23]Hélder Quintela, Manuel Filipe Santos, Paulo Cortez:
Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. EPIA Workshops 2007: 124-132 - [c22]Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio:
Evolutionary Computation for Quality of Service Internet Routing Optimization. EvoWorkshops 2007: 71-80 - [c21]Paulo Cortez, Miguel Rio, Pedro Nuno Miranda de Sousa, Miguel Rocha:
Topology Aware Internet Traffic Forecasting Using Neural Networks. ICANN (2) 2007: 445-454 - [c20]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation. WWIC 2007: 141-152 - 2006
- [c19]Miguel Rocha, Pedro Sousa, Miguel Rio, Paulo Cortez:
QoS Constrained Internet Routing with Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2006: 2720-2727 - [c18]Duarte Duque, Henrique Santos, Paulo Cortez:
The OBSERVER: An Intelligent and Automated Video Surveillance System. ICIAR (1) 2006: 898-909 - [c17]Duarte Duque, Henrique Santos, Paulo Cortez:
N-ary trees classifier. ICINCO-RA 2006: 457-460 - [c16]Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa:
Internet Traffic Forecasting using Neural Networks. IJCNN 2006: 2635-2642 - [c15]Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez:
Efficient OSPF Weight Allocation for Intra-domain QoS Optimization. IPOM 2006: 37-48 - 2005
- [c14]Duarte Duque, Henrique Santos, Paulo Cortez:
Moving object detection unaffected by cast shadows, highlights and ghosts. ICIP (3) 2005: 413-416 - [c13]Miguel Rocha, Paulo Cortez, José Neves:
Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. IWANN 2005: 59-66 - 2004
- [c12]Álvaro M. Silva, Paulo Cortez, Manuel Santos, Lopes Gomes, José Neves:
Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. ICEIS (Selected Papers) 2004: 127-134 - [c11]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 - 2003
- [c10]Miguel Rocha, Paulo Cortez, José Neves:
Evolutionary Neural Network Learning. EPIA 2003: 24-28 - [c9]Miguel Rocha, Paulo Cortez, José Neves:
Adaptive Learning in Changing Environments. ESANN 2003: 487-492 - 2001
- [c8]Miguel Rocha, Rui Mendes, Paulo Cortez, José Neves:
Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. CEC 2001: 671-678 - [c7]Paulo Cortez, Miguel Rocha, José Neves:
Lamarckian training of feedforward neural networks. ESANN 2001: 153-158 - [c6]Paulo Cortez, Miguel Rocha, José Neves:
Genetic and Evolutionary Algorithms for Time Series Forecasting. IEA/AIE 2001: 393-402 - 2000
- [c5]Miguel Rocha, Carla Vilela, Paulo Cortez, José Neves:
Viewing Scheduling Problems through Genetic and Evolutionary Algorithms. IPDPS Workshops 2000: 612-619 - 1999
- [c4]José Neves, Paulo Cortez, Miguel Rocha, António Abelha, José Machado, Victor Alves, Sousa Basto, Henrique Botelho, João Neves:
A Unified Framework for Data Modeling on Medical Information Systems. MIE 1999: 68-71 - 1997
- [c3]José Neves, Paulo Cortez:
An artificial neural network-genetic based approach for time series forecasting. SBRN 1997: 9-13 - 1996
- [c2]José Neves, José Machado, Lino Costa, Paulo Cortez:
A Software Agent Distributed System for Dynamic Load Balancing. ESM 1996: 80-84 - 1995
- [c1]Paulo Cortez, Miguel Rocha, José Machado, José Neves:
A neural network based time series forecasting system. ICNN 1995: 2689-2693
Editorship
- 2022
- [e5]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part I. IFIP Advances in Information and Communication Technology 646, Springer 2022, ISBN 978-3-031-08332-7 [contents] - [e4]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part II. IFIP Advances in Information and Communication Technology 647, Springer 2022, ISBN 978-3-031-08336-5 [contents] - [e3]Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez:
Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops - MHDW 2022, 5G-PINE 2022, AIBMG 2022, ML@HC 2022, and AIBEI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings. IFIP Advances in Information and Communication Technology 652, Springer 2022, ISBN 978-3-031-08340-2 [contents] - 2019
- [e2]Paulo Cortez, Luís Magalhães, Pedro Branco, Carlos Filipe Portela, Telmo Adão:
Intelligent Technologies for Interactive Entertainment - 10th EAI International Conference, INTETAIN 2018, Guimarães, Portugal, November 21-23, 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 273, Springer 2019, ISBN 978-3-030-16446-1 [contents] - 2013
- [e1]João Gama, Michael May, Nuno Cavalheiro Marques, Paulo Cortez, Carlos Abreu Ferreira:
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China, August 3, 2013. CEUR Workshop Proceedings 1088, CEUR-WS.org 2013 [contents]
Data and Artifacts
- 2015
- [d3]Kelwin Fernandes, Pedro Vinagre, Paulo Cortez, Pedro Sernadela:
Online News Popularity. UCI Machine Learning Repository, 2015
- 2012
- [d2]Sérgio Moro, Paulo Rita, Paulo Cortez:
Bank Marketing. UCI Machine Learning Repository, 2012 - 2009
- [d1]Paulo Cortez, Antonio Cerdeira, Fernando Almeida, Telmo Matos, José Reis:
Wine Quality. UCI Machine Learning Repository, 2009
Informal and Other Publications
- 2020
- [i1]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 abs/2006.10417 (2020)
Coauthor Index
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