Paulo Cortez

Orcid: 0000-0002-7991-2090

Affiliations:
  • University of Minho, Guimaraes, Portugal


According to our database1, Paulo Cortez authored at least 173 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Data science approaches for sustainable development.
Expert Syst. J. Knowl. Eng., July, 2024

Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning.
Eng. Appl. Artif. Intell., 2024

2023
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence.
Expert Syst. J. Knowl. Eng., December, 2023

AutoOC: A Python module for automated multi-objective One-Class Classification.
Softw. Impacts, November, 2023

RTSIMU: Real-Time Simulation tool for IMU sensors.
Softw. Impacts, September, 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

A Deep Learning-Based Decision Support System for Mobile Performance Marketing.
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

AI4CITY - An Automated Machine Learning Platform for Smart Cities.
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

Predicting Multiple Domain Queue Waiting Time via Machine Learning.
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

Towards a News Recommendation System to increase Reader Engagement through Newsletter Content Personalization.
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 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

Author placement in Computer Science: a study based on the careers of ACM Fellows.
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

Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach.
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

An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories.
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

An Intelligent Decision Support System for Road Freight Transport.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

A Machine Learning Approach for Spare Parts Lifetime Estimation.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

A Comparison of Automated Time Series Forecasting Tools for Smart Cities.
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

Business analytics in Industry 4.0: A systematic review.
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

Using Deep Autoencoders for In-vehicle Audio Anomaly Detection.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost.
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

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

An Intelligent Decision Support System for Production Planning in Garments Industry.
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

Prediction of Maintenance Equipment Failures Using Automated Machine Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

A Comparison of Anomaly Detection Methods for Industrial Screw Tightening.
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

Multi-step time series prediction intervals using neuroevolution.
Neural Comput. Appl., 2020

A Google Trends spatial clustering approach for a worldwide Twitter user geolocation.
Inf. Process. Manag., 2020

Fifth special issue on knowledge discovery and business intelligence.
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

A Scalable and Automated Machine Learning Framework to Support Risk Management.
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

A realistic scooter rebalancing system via metaheuristics.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Social Media Cross-Source and Cross-Domain Sentiment Classification.
Int. J. Inf. Technol. Decis. Mak., 2019

Twitter user geolocation using web country noun searches.
Decis. Support Syst., 2019

Using Deep Learning for Mobile Marketing User Conversion Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Using Neuroevolution for Predicting Mobile Marketing Conversion.
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

Automatic human trajectory destination prediction from video.
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

Fourth special issue on knowledge discovery and business intelligence.
Expert Syst. J. Knowl. Eng., 2018

Insights from a text mining survey on Expert Systems research from 2000 to 2016.
Expert Syst. J. Knowl. Eng., 2018

A Categorical Clustering of Publishers for Mobile Performance Marketing.
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

A Machine Learning Approach to Detect Violent Behaviour from Video.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2018

A Deep Learning Approach for Sentence Classification of Scientific Abstracts.
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

Label Ranking Forests.
Expert Syst. J. Knowl. Eng., 2017

Third special issue on knowledge discovery and business intelligence.
Expert Syst. J. Knowl. Eng., 2017

Human Skeleton Detection from Semi-constrained Environment Video.
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

Multi-objective Learning of Neural Network Time Series Prediction Intervals.
Proceedings of the Progress in Artificial Intelligence, 2017

Mining Rational Team Concert Repositories: A Case Study on a Software Project.
Proceedings of the Progress in Artificial Intelligence, 2017

2016
Stock market sentiment lexicon acquisition using microblogging data and statistical measures.
Decis. Support Syst., 2016

Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data.
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
Online News Popularity.
Dataset, May, 2015

Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns.
Neural Comput. Appl., 2015

An evolutionary multi-objective optimization system for earthworks.
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

Automatic visual detection of human behavior: A review from 2000 to 2014.
Expert Syst. Appl., 2015

Recent advances on knowledge discovery and business intelligence.
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

Automatic Human Action Recognition from Video Using Hidden Markov Model.
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

A data-driven approach to predict the success of bank telemarketing.
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

A Data-driven Approach to Predict Hospital Length of Stay - A Portuguese Case Study.
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

Evolving Artificial Neural Networks applied to generate virtual characters.
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

Knowledge Discovery and Business Intelligence.
Expert Syst. J. Knowl. Eng., 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

Short-term electric load forecasting using computational intelligence methods.
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

Robust Optimization of Intradomain Routing Using Evolutionary Algorithms.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

A Framework for Robust Traffic Engineering Using Evolutionary Computation.
Proceedings of the Emerging Management Mechanisms for the Future Internet, 2013

2012
Bank Marketing.
Dataset, February, 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

Evolutionary Support Vector Machines for Time Series Forecasting.
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
Symbiotic filtering for spam email detection.
Expert Syst. Appl., 2011

Quality of Service constrained routing optimization using Evolutionary Computation.
Appl. Soft Comput., 2011

Traffic Engineering Approaches Using Multicriteria Optimization Techniques.
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

Evolving sparsely connected neural networks for multi-step ahead forecasting.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolving time-lagged feedforward neural networks for time series forecasting.
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

Opening black box Data Mining models using Sensitivity Analysis.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Multiobjective Evolutionary Algorithms for intradomain routing optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Spam Email Filtering Using Network-Level Properties.
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

Modeling wine preferences by data mining from physicochemical properties.
Decis. Support Syst., 2009

Symbiotic Data Mining for Personalized Spam Filtering.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

An Intelligent Alarm Management System for Large-Scale Telecommunication Companies.
Proceedings of the Progress in Artificial Intelligence, 2009

Using Data Mining for Wine Quality Assessment.
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

Multiconstrained Optimization of Networks with Multicast and Unicast Traffic.
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
Automatic Provisioning of QoS Aware OSPF Configurations.
J. Networks, 2007

Evolution of neural networks for classification and regression.
Neurocomputing, 2007

Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation.
Proceedings of the Wired/Wireless Internet Communications, 5th International Conference, 2007

Topology Aware Internet Traffic Forecasting Using Neural Networks.
Proceedings of the Artificial Neural Networks, 2007

Evolutionary Computation for Quality of Service Internet Routing Optimization.
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

Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Lamb Meat Quality Assessment by Support Vector Machines.
Neural Process. Lett., 2006

Mortality assessment in intensive care units via adverse events using artificial neural networks.
Artif. Intell. Medicine, 2006

Efficient OSPF Weight Allocation for Intra-domain QoS Optimization.
Proceedings of the Autonomic Principles of IP Operations and Management, 2006

Internet Traffic Forecasting using Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

N-ary trees classifier.
Proceedings of the ICINCO 2006, 2006

The OBSERVER: An Intelligent and Automated Video Surveillance System.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

QoS Constrained Internet Routing with Evolutionary Algorithms.
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

Moving object detection unaffected by cast shadows, highlights and ghosts.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Evolving Time Series Forecasting ARMA Models.
J. Heuristics, 2004

Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks.
Proceedings of the ICEIS 2004, 2004

2003
Adaptive Learning in Changing Environments.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Evolutionary Neural Network Learning.
Proceedings of the Progress in Artificial Intelligence, 2003

2002
Modelos inspirados na natureza para a previsão de séries temporais
PhD thesis, 2002

A Lamarckian Approach for Neural Network Training.
Neural Process. Lett., 2002

2001
Genetic and Evolutionary Algorithms for Time Series Forecasting.
Proceedings of the Engineering of Intelligent Systems, 2001

Lamarckian training of feedforward neural networks.
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
Viewing Scheduling Problems through Genetic and Evolutionary Algorithms.
Proceedings of the Parallel and Distributed Processing, 2000

1999
A Unified Framework for Data Modeling on Medical Information Systems.
Proceedings of the Medical Informatics Europe '99, Proceedings, Ljubljana, Slovenia, 1999

1997
An artificial neural network-genetic based approach for time series forecasting.
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
A neural network based time series forecasting system.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995


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