Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPaulo Cortez 0001
Person information
- affiliation: University of Minho, Guimaraes, Portugal
Other persons with the same name
- Paulo Cortez 0002
![[0000-0002-4020-3019]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4020-3019")
(aka: Paulo César Cortez) — Federal University of Ceará, Fortaleza, Brazil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j51]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)- [j50]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) - [j49]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) - [j48]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) - [j47]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) - [d1]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) - [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 - [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] - 2021
- [j46]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) - [j45]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) - [j44]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) - [j43]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) - [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 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
- [j42]Paulo Cortez, Albert Bifet:
Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j41]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) - [j40]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) - [j39]Paulo Cortez, Pedro José Pereira, Rui Mendes:
Multi-step time series prediction intervals using neuroevolution. Neural Comput. Appl. 32(13): 8939-8953 (2020) - [j38]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) - [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 - [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)
2010 – 2019
- 2019
- [j37]Paola Zola, Paulo Cortez, Maurizio Carpita:
Twitter user geolocation using web country noun searches. Decis. Support Syst. 120: 50-59 (2019) - [j36]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) - [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 - [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] - 2018
- [j35]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) - [j34]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) - [j33]Paulo Cortez, Manuel Filipe Santos:
Fourth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. 35(4) (2018) - [j32]Palwasha Afsar, Paulo Cortez, Henrique M. Dinis Santos:
Automatic human trajectory destination prediction from video. Expert Syst. Appl. 110: 41-51 (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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [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 - [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] - 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) - [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
- [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) - [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]