Paulo Cortez
Orcid: 0000-0002-7991-2090Affiliations:
- University of Minho, Guimaraes, Portugal
According to our database1,
Paulo Cortez
authored at least 170 papers
between 1995 and 2023.
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Bibliography
2023
Expert Syst. J. Knowl. Eng., December, 2023
Softw. Impacts, November, 2023
International revenue share fraud prediction on the 5G edge using federated learning.
Computing, September, 2023
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution.
Appl. Soft Comput., September, 2023
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics.
Neural Comput. Appl., August, 2023
Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities.
Expert Syst. Appl., July, 2023
Int. J. Inf. Technol. Decis. Mak., March, 2023
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times.
Eng. Appl. Artif. Intell., 2023
Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry.
IEEE Access, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities.
Proceedings of the Progress in Artificial Intelligence, 2023
2022
RanCoord - A random geographic coordinates generator for transport and logistics research and development activities.
Softw. Impacts, December, 2022
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing.
Softw. Impacts, 2022
Scientometrics, 2022
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.
Neural Comput. Appl., 2022
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection.
Comput., 2022
Using supervised and one-class automated machine learning for predictive maintenance.
Appl. Soft Comput., 2022
A federated machine learning approach to detect international revenue share fraud on the 5G edge.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Bosch's Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support.
Proceedings of the Research Challenges in Information Science, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors.
Proceedings of the International Joint Conference on Neural Networks, 2022
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
Proceedings of the Progress in Artificial Intelligence, 2022
2021
Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers.
Neural Comput. Appl., 2021
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction.
Expert Syst. Appl., 2021
Expert Syst. J. Knowl. Eng., 2021
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain.
Decis. Support Syst., 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data.
Proceedings of the Progress in Artificial Intelligence, 2021
2020
Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields.
Scientometrics, 2020
A deep learning classifier for sentence classification in biomedical and computer science abstracts.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
A Google Trends spatial clustering approach for a worldwide Twitter user geolocation.
Inf. Process. Manag., 2020
Expert Syst. J. Knowl. Eng., 2020
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.
CoRR, 2020
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020
An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Int. J. Inf. Technol. Decis. Mak., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Progress in Artificial Intelligence, 2019
2018
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., 2018
Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features.
J. Comput. Civ. Eng., 2018
Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing.
J. Comput. Civ. Eng., 2018
Expert Syst. Appl., 2018
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., 2018
Expert Syst. J. Knowl. Eng., 2018
Expert Syst. J. Knowl. Eng., 2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2018
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
2017
A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features.
Neural Comput. Appl., 2017
The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices.
Expert Syst. Appl., 2017
Expert Syst. J. Knowl. Eng., 2017
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017
Proceedings of the Progress in Artificial Intelligence, 2017
Proceedings of the Progress in Artificial Intelligence, 2017
2016
Stock market sentiment lexicon acquisition using microblogging data and statistical measures.
Decis. Support Syst., 2016
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016
Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
2015
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns.
Neural Comput. Appl., 2015
Expert Syst. Appl., 2015
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation.
Expert Syst. Appl., 2015
Expert Syst. Appl., 2015
Expert Syst. J. Knowl. Eng., 2015
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News.
Proceedings of the Progress in Artificial Intelligence, 2015
Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Proceedings of the 18th IEEE International Conference on Computational Science and Engineering, 2015
2014
Global and decomposition evolutionary support vector machine approaches for time series forecasting.
Neural Comput. Appl., 2014
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters.
Expert Syst. Appl., 2014
Decis. Support Syst., 2014
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting.
Appl. Soft Comput., 2014
Automatic creation of stock market lexicons for sentiment analysis using StockTwits data.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014
Proceedings of the ICEIS 2014, 2014
Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodology.
Proceedings of the Enterprise Information Systems - 16th International Conference, 2014
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014
2013
Using sensitivity analysis and visualization techniques to open black box data mining models.
Inf. Sci., 2013
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble.
Neurocomputing, 2013
Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation.
Int. J. Inf. Technol. Decis. Mak., 2013
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations.
Expert Syst. Appl., 2013
Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter.
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013
Proceedings of the FUZZ-IEEE 2013, 2013
On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume.
Proceedings of the Progress in Artificial Intelligence, 2013
Proceedings of the Distributed Computing and Artificial Intelligence, 2013
Proceedings of the Emerging Management Mechanisms for the Future Internet, 2013
2012
Multi-scale Internet traffic forecasting using neural networks and time series methods.
Expert Syst. J. Knowl. Eng., 2012
Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks.
Proceedings of the 2012 IEEE Wireless Communications and Networking Conference, 2012
Evolutionary Symbiotic Feature Selection for Email Spam Detection.
Proceedings of the ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Rome, Italy, 28, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012
2011
Appl. Soft Comput., 2011
Proceedings of the Wired/Wireless Internet Communications, 2011
Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011
Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time.
Proceedings of the Progress in Artificial Intelligence, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010
Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010
Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Decis. Support Syst., 2009
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the Progress in Artificial Intelligence, 2009
Proceedings of the Discovery Science, 12th International Conference, 2009
2008
Rating organ failure via adverse events using data mining in the intensive care unit.
Artif. Intell. Medicine, 2008
Proceedings of the Management of Converged Multimedia Networks and Services, 2008
An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering.
Proceedings of the ICINCO 2008, 2008
2007
Proceedings of the Wired/Wireless Internet Communications, 5th International Conference, 2007
Proceedings of the Artificial Neural Networks, 2007
Proceedings of the Applications of Evolutinary Computing, 2007
Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction.
Proceedings of the Progress in Artificial Intelligence, 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Mortality assessment in intensive care units via adverse events using artificial neural networks.
Artif. Intell. Medicine, 2006
Proceedings of the Autonomic Principles of IP Operations and Management, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
N-ary trees classifier.
Proceedings of the ICINCO 2006, 2006
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine.
J. Decis. Syst., 2005
Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the 2005 International Conference on Image Processing, 2005
2004
Proceedings of the Enterprise Information Systems VI, 2004
2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the Progress in Artificial Intelligence, 2003
2002
2001
Proceedings of the Engineering of Intelligent Systems, 2001
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
Proceedings of the Parallel and Distributed Processing, 2000
1999
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999
1997
Proceedings of the 4th Brazilian Symposium on Neural Networks, 1997
1996
A Software Agent Distributed System for Dynamic Load Balancing.
Proceedings of the Modelling and Simulation, 1996
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995