Paulo Cortez - RankMe

191 papers A* 2A 1B 18C 9Misc 15Journal 71Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A machine learning-based framework for predicting supply delay risk using big data technology. Int. J. Data Sci. Anal. Júlio Barros, Nuno Silva, João N. C. Gonçalves, Paulo Cortez, Maria Sameiro Carvalho, Maribel Yasmina Santos, Carlos Costa
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IX ECML/PKDD (9) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part X ECML/PKDD (10) Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Arian Pasquali, Nuno Moniz, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2026	—	`ed.`	Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VIII ECML/PKDD (8) Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama
2025	A	`conf`	A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing. GECCO Guilherme Barbosa, Pedro Pereira, Vasco Abelha, Rui Mendes, Paulo Cortez
2025	B	`conf`	MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model. ICTAI Eduardo Dias, André Luiz Pilastri, Artur Ferreira, Bruno Lemos, Paulo Cortez
2025	—	`ed.`	Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part I EPIA (1) Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
2025	—	`ed.`	Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part II EPIA (2) Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
2025	—	`ed.`	Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part III EPIA (3) Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira
2025	J	`jnl`	Screw Process Anomaly Visualization (SPAV): A Python module for local and global machine learning visualizations for screw tightening anomaly detection. Softw. Impacts Marta Moreno, Hugo Rocha, André Luiz Pilastri, Guilherme Moreira, Luís Miguel Matos, Paulo Cortez
2024	—	`conf`	A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities. EPIA (3) Pedro José Pereira, Nuno Costa, Pedro Mestre, Paulo Cortez
2024	—	`conf`	A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models. EPIA (3) Hélder Teixeira, Arthur Matta, André Luiz Pilastri, Luís Ferreira, Pedro José Pereira, Carlos Gonçalves, Paulo Cortez
2024	B	`conf`	Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML. KES Arthur Matta, Luís Miguel Matos, André Luiz Pilastri, Jorge Miguel Silva, Miguel Bastos Gomes, Paulo Cortez
2024	J	`jnl`	Data science approaches for sustainable development. Expert Syst. J. Knowl. Eng. Serena Strazzullo, Paulo Cortez, Sérgio Moro
2024	J	`jnl`	Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning. Eng. Appl. Artif. Intell. Luís Miguel Matos, Paula Dias, Arthur Matta, Dário Machado, Rosane Sampaio, André Luiz Pilastri, Paulo Cortez
2024	J	`jnl`	Using Machine Learning to Predict Wine Quality and Prices: A Demonstrative Case Using a Large Tabular Database. IEEE Access Diogo Oliveira Moreira, Luís Paulo Reis, Paulo Cortez
2023	—	`conf`	A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. EPIA (1) Daniela Soares, Pedro José Pereira, Paulo Cortez, Carlos Gonçalves
2023	J	`jnl`	A Deep Learning-Based Decision Support System for Mobile Performance Marketing. Int. J. Inf. Technol. Decis. Mak. Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
2023	J	`jnl`	A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics. Neural Comput. Appl. Rui Ribeiro, André Luiz Pilastri, Carla Moura, José Morgado, Paulo Cortez
2023	J	`jnl`	A decision support system based on a multivariate supervised regression strategy for estimating supply lead times. Eng. Appl. Artif. Intell. Júlio Barros, João N. C. Gonçalves, Paulo Cortez, Maria Sameiro Carvalho
2023	Misc	`conf`	AI4CITY - An Automated Machine Learning Platform for Smart Cities. SAC Pedro José Pereira, Carlos Gonçalves, Lara Lopes Nunes, Paulo Cortez, André Luiz Pilastri
2023	J	`jnl`	AutoOC: A Python module for automated multi-objective One-Class Classification. Softw. Impacts Luís Ferreira, Paulo Cortez
2023	J	`jnl`	AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution. Appl. Soft Comput. Luís Ferreira, Paulo Cortez
2023	J	`jnl`	Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities. Expert Syst. Appl. Elizabeth Fernandes, Sérgio Moro, Paulo Cortez
2023	J	`jnl`	Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Albert Bifet
2023	J	`jnl`	International revenue share fraud prediction on the 5G edge using federated learning. Computing Luís Ferreira, Leopoldo Silva, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
2023	—	`conf`	Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case. AIAI (2) Cláudia Afonso, Arthur Matta, Luís Miguel Matos, Miguel Bastos Gomes, Antonina Santos, André Luiz Pilastri, Paulo Cortez
2023	—	`conf`	Predicting Multiple Domain Queue Waiting Time via Machine Learning. ICCSA (1) Carolina Loureiro, Pedro José Pereira, Paulo Cortez, Pedro Guimarães, Carlos Moreira, André Pinho
2023	J	`jnl`	Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry. IEEE Access Júlio Barros, Francisco Cunha, Cândido Martins, Paulo Pedrosa, Paulo Cortez
2023	—	`conf`	PrivateCTGAN: Adapting GAN for Privacy-Aware Tabular Data Sharing. PKDD/ECML Workshops (2) Frederico Lopes, Carlos Soares, Paulo Cortez
2023	J	`jnl`	RTSIMU: Real-Time Simulation tool for IMU sensors. Softw. Impacts Paula Dias, Arthur Matta, André Luiz Pilastri, Luís Miguel Matos, Paulo Cortez
2023	—	`conf`	Towards a News Recommendation System to increase Reader Engagement through Newsletter Content Personalization. CENTERIS/ProjMAN/HCist Elizabeth Fernandes, Sérgio Moro, Paulo Cortez
2022	Misc	`conf`	A Comparison of Automated Time Series Forecasting Tools for Smart Cities. EPIA Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado
2022	B	`conf`	A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. IJCNN Cristiana Fernandes, Luís Miguel Matos, Duarte Folgado, Maria Lua Nunes, João Rui Pereira, André Luiz Pilastri, Paulo Cortez
2022	—	`conf`	A Machine Learning Approach for Spare Parts Lifetime Estimation. ICAART (3) Luísa Macedo, Luís Miguel Matos, Paulo Cortez, André Domingues, Guilherme Moreira, André Luiz Pilastri
2022	C	`conf`	A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. IDEAL Luís Santos, Luís Miguel Matos, Luís Ferreira, Pedro Alves, Mário Viana, André Luiz Pilastri, Paulo Cortez
2022	Misc	`conf`	A federated machine learning approach to detect international revenue share fraud on the 5G edge. SAC Luís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri
2022	—	`conf`	An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets. AIAI (1) Gonçalo Fontes, Luís Miguel Matos, Arthur Matta, André Luiz Pilastri, Paulo Cortez
2022	—	`conf`	An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories. AIAI (2) António João Silva, Paulo Cortez
2022	C	`conf`	An Intelligent Decision Support System for Road Freight Transport. IDEAL Hugo Carvalho, André Luiz Pilastri, Arthur Matta, Luís Miguel Matos, Rui Novais, Paulo Cortez
2022	—	`ed.`	Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part I AIAI (1) Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez
2022	—	`ed.`	Artificial Intelligence Applications and Innovations - 18th IFIP WG 12.5 International Conference, AIAI 2022, Hersonissos, Crete, Greece, June 17-20, 2022, Proceedings, Part II AIAI (2) Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez
2022	—	`ed.`	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 AIAI (Workshops) Ilias Maglogiannis, Lazaros Iliadis, John MacIntyre, Paulo Cortez
2022	J	`jnl`	Author placement in Computer Science: a study based on the careers of ACM Fellows. Scientometrics João M. Fernandes, António Costa, Paulo Cortez
2022	B	`conf`	Bosch's Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support. RCIS João Galvão, Diogo Ribeiro, Inês Araújo Machado, Filipa Ferreira, Júlio Gonçalves, Rui Faria, Guilherme Moreira, Carlos Costa, Paulo Cortez, Maribel Yasmina Santos
2022	J	`jnl`	Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Softw. Impacts Luís Miguel Matos, João Azevedo, Arthur Matta, André Luiz Pilastri, Paulo Cortez, Rui Mendes
2022	J	`jnl`	Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Neural Comput. Appl. Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
2022	J	`jnl`	Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection. Comput. Diogo Ribeiro, Luís Miguel Matos, Guilherme Moreira, André Luiz Pilastri, Paulo Cortez
2022	B	`conf`	Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. KES João Azevedo, Rui Ribeiro, Luís Miguel Matos, Rui Sousa, João Paulo Silva, André Luiz Pilastri, Paulo Cortez
2022	—	`conf`	Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning. AIAI (2) Afonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Luiz Pilastri, Paulo Cortez
2022	J	`jnl`	RanCoord - A random geographic coordinates generator for transport and logistics research and development activities. Softw. Impacts Hugo Carvalho, André Luiz Pilastri, Rui Novais, Paulo Cortez
2022	J	`jnl`	Using supervised and one-class automated machine learning for predictive maintenance. Appl. Soft Comput. Luís Ferreira, André Luiz Pilastri, Filipe Romano, Paulo Cortez
2021	—	`conf`	A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. ICCSA (2) Diogo Ribeiro, Luís Miguel Matos, Paulo Cortez, Guilherme Moreira, André Luiz Pilastri
2021	B	`conf`	A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. IJCNN Luís Ferreira, André Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez
2021	C	`conf`	A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. IDEAL Luís Miguel Matos, André Domingues, Guilherme Moreira, Paulo Cortez, André Luiz Pilastri
2021	Misc	`conf`	A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. EPIA Pedro José Pereira, Adriana Pereira, Paulo Cortez, André Luiz Pilastri
2021	J	`jnl`	A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain. Decis. Support Syst. João N. C. Gonçalves, Paulo Cortez, Maria Sameiro Carvalho, Nuno M. Frazão
2021	Misc	`conf`	An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption. AIAI António João Silva, Paulo Cortez
2021	C	`conf`	An Intelligent Decision Support System for Production Planning in Garments Industry. IDEAL Rui Ribeiro, André Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro José Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez
2021	J	`jnl`	Business analytics in Industry 4.0: A systematic review. Expert Syst. J. Knowl. Eng. António João Silva, Paulo Cortez, Carlos Pereira, André Luiz Pilastri
2021	Misc	`conf`	Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. AIAI Gabriel Coelho, Pedro José Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
2021	J	`jnl`	Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Syst. Appl. Pedro José Pereira, Paulo Cortez, Rui Mendes
2021	C	`conf`	Prediction of Maintenance Equipment Failures Using Automated Machine Learning. IDEAL Luís Ferreira, André Luiz Pilastri, Vítor Sousa, Filipe Romano, Paulo Cortez
2021	J	`jnl`	Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers. Neural Comput. Appl. Paola Zola, Paulo Cortez, Eugenio Brentari
2021	B	`conf`	Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. KES Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez
2020	J	`jnl`	A Google Trends spatial clustering approach for a worldwide Twitter user geolocation. Inf. Process. Manag. Paola Zola, Costantino Ragno, Paulo Cortez
2020	—	`conf`	A Scalable and Automated Machine Learning Framework to Support Risk Management. ICAART (Revised Selected Papers) Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
2020	J	`jnl`	A deep learning classifier for sentence classification in biomedical and computer science abstracts. Neural Comput. Appl. Sérgio Gonçalves, Paulo Cortez, Sérgio Moro
2020	—	`conf`	A realistic scooter rebalancing system via metaheuristics. GECCO Companion Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, Rui Mendes
2020	J	`jnl`	Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields. Scientometrics João M. Fernandes, Paulo Cortez
2020	—	`conf`	An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management. ICAART (2) Luís Ferreira, André Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez
2020	—	`conf`	Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples. AIAI (2) António João Silva, Paulo Cortez, André Luiz Pilastri
2020	J	`jnl`	Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds. CoRR Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri
2020	J	`jnl`	Fifth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Albert Bifet
2020	J	`jnl`	Multi-step time series prediction intervals using neuroevolution. Neural Comput. Appl. Paulo Cortez, Pedro José Pereira, Rui Mendes
2020	—	`conf`	Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features. AIAI (2) Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, José Morgado, Paulo Cortez
2020	—	`conf`	Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology. ICEIS (1) Rui Ribeiro, André Luiz Pilastri, Carla Moura, Filipe Rodrigues, Rita Rocha, Paulo Cortez
2020	—	`conf`	Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location. ICCSA (5) Paola Zola, Paulo Cortez, Maurizio Tesconi
2019	—	`ed.`	Intelligent Technologies for Interactive Entertainment - 10th EAI International Conference, INTETAIN 2018, Guimarães, Portugal, November 21-23, 2018, Proceedings INTETAIN Paulo Cortez, Luís Magalhães, Pedro Branco, Carlos Filipe Portela, Telmo Adão
2019	J	`jnl`	Social Media Cross-Source and Cross-Domain Sentiment Classification. Int. J. Inf. Technol. Decis. Mak. Paola Zola, Paulo Cortez, Costantino Ragno, Eugenio Brentari
2019	J	`jnl`	Twitter user geolocation using web country noun searches. Decis. Support Syst. Paola Zola, Paulo Cortez, Maurizio Carpita
2019	B	`conf`	Using Deep Learning for Mobile Marketing User Conversion Prediction. IJCNN Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
2019	—	`conf`	Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. IDEAL (1) Luís Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau
2019	—	`conf`	Using Neuroevolution for Predicting Mobile Marketing Conversion. EPIA (2) Pedro José Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau
2018	—	`conf`	A Categorical Clustering of Publishers for Mobile Performance Marketing. SOCO-CISIS-ICEUTE Susana Silva, Paulo Cortez, Rui Mendes, Pedro José Pereira, Luís Miguel Matos, Luís Garcia
2018	—	`conf`	A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction. IEEE Conf. on Intelligent Systems Luís Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau
2018	—	`conf`	A Deep Learning Approach for Sentence Classification of Scientific Abstracts. ICANN (3) Sérgio Gonçalves, Paulo Cortez, Sérgio Moro
2018	—	`conf`	A Machine Learning Approach to Detect Violent Behaviour from Video. INTETAIN David Nova, André L. Ferreira, Paulo Cortez
2018	J	`jnl`	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. Sérgio Moro, Paulo Cortez, Paulo Rita
2018	J	`jnl`	Automatic human trajectory destination prediction from video. Expert Syst. Appl. Palwasha Afsar, Paulo Cortez, Henrique M. Dinis Santos
2018	J	`jnl`	Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features. J. Comput. Civ. Eng. Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
2018	J	`jnl`	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. Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
2018	J	`jnl`	Fourth special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Manuel Filipe Santos
2018	J	`jnl`	Insights from a text mining survey on Expert Systems research from 2000 to 2016. Expert Syst. J. Knowl. Eng. Paulo Cortez, Sérgio Moro, Paulo Rita, David King, Jon Hall
2018	J	`jnl`	Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing. J. Comput. Civ. Eng. Joaquim Tinoco, António Gomes Correia, Paulo Cortez, David G. Toll
2017	J	`jnl`	A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features. Neural Comput. Appl. Sérgio Moro, Paulo Cortez, Paulo Rita
2017	—	`conf`	Human Skeleton Detection from Semi-constrained Environment Video. VISIGRAPP (5: VISAPP) Palwasha Afsar, Paulo Cortez, Henrique Santos
2017	J	`jnl`	Label Ranking Forests. Expert Syst. J. Knowl. Eng. Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez
2017	Misc	`conf`	Mining Rational Team Concert Repositories: A Case Study on a Software Project. EPIA Pedro Cunha, André L. Ferreira, Paulo Cortez
2017	Misc	`conf`	Multi-objective Learning of Neural Network Time Series Prediction Intervals. EPIA Pedro José Pereira, Paulo Cortez, Rui Mendes
2017	J	`jnl`	The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Syst. Appl. Nuno Oliveira, Paulo Cortez, Nelson Areal
2017	J	`jnl`	Third special issue on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Manuel Filipe Santos
2016	—	`conf`	Forecasting Store Foot Traffic Using Facial Recognition, Time Series and Support Vector Machines. SOCO-CISIS-ICEUTE Paulo Cortez, Luís Miguel Matos, Pedro José Pereira, Nuno Santos, Duarte Duque
2016	—	`conf`	Measuring User Influence in Financial Microblogs: Experiments Using StockTwits Data. WIMS Paulo Cortez, Nuno Oliveira, João Peixoto Ferreira
2016	J	`jnl`	Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decis. Support Syst. Nuno Oliveira, Paulo Cortez, Nelson Areal
2015	Misc	`conf`	A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. EPIA Kelwin Fernandes, Pedro Vinagre, Paulo Cortez
2015	J	`jnl`	An evolutionary multi-objective optimization system for earthworks. Expert Syst. Appl. Manuel Parente, Paulo Cortez, António Gomes Correia
2015	—	`conf`	Automatic Human Action Recognition from Video Using Hidden Markov Model. CSE Palwasha Afsar, Paulo Cortez, Henrique Santos
2015	J	`jnl`	Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Syst. Appl. Palwasha Afsar, Paulo Cortez, Henrique Santos
2015	J	`jnl`	Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Syst. Appl. Sérgio Moro, Paulo Cortez, Paulo Rita
2015	—	`conf`	Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks. EMO (2) Manuel Parente, Paulo Cortez, António Gomes Correia
2015	—	`conf`	Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. EMO (2) Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha
2015	J	`jnl`	Recent advances on knowledge discovery and business intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Manuel Filipe Santos
2015	J	`jnl`	Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns. Neural Comput. Appl. Sérgio Moro, Paulo Cortez, Paulo Rita
2014	—	`conf`	A Data-driven Approach to Predict Hospital Length of Stay - A Portuguese Case Study. ICEIS (1) Nuno Caetano, Raul M. S. Laureano, Paulo Cortez
2014	J	`jnl`	A data-driven approach to predict the success of bank telemarketing. Decis. Support Syst. Sérgio Moro, Paulo Cortez, Paulo Rita
2014	J	`jnl`	Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters. Expert Syst. Appl. Joan Marc Llargues Asensio, Juan Peralta, Raúl Arrabales, Manuel González Bedia, Paulo Cortez, Antonio M. López Peña
2014	C	`conf`	Automatic creation of stock market lexicons for sentiment analysis using StockTwits data. IDEAS Nuno Oliveira, Paulo Cortez, Nelson Areal
2014	J	`jnl`	Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. Appl. Soft Comput. Juan Peralta Donate, Paulo Cortez
2014	—	`conf`	Evolving Artificial Neural Networks applied to generate virtual characters. CIG Joan Marc Llargues Asensio, Juan Peralta Donate, Paulo Cortez
2014	J	`jnl`	Global and decomposition evolutionary support vector machine approaches for time series forecasting. Neural Comput. Appl. Paulo Cortez, Juan Peralta Donate
2014	—	`conf`	Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodology. ICEIS (Revised Selected Papers) Nuno Caetano, Paulo Cortez, Raul M. S. Laureano
2013	—	`conf`	A Framework for Robust Traffic Engineering Using Evolutionary Computation. AIMS Vitor Pereira, Miguel Rocha, Paulo Cortez, Miguel Rio, Pedro Sousa
2013	J	`jnl`	Email Spam Detection: a Symbiotic Feature Selection Approach Fostered by Evolutionary Computation. Int. J. Inf. Technol. Decis. Mak. Pedro Sousa, Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio
2013	J	`jnl`	Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations. Expert Syst. Appl. Martin Stepnicka, Paulo Cortez, Juan Peralta Donate, Lenka Stepnicková
2013	J	`jnl`	Knowledge Discovery and Business Intelligence. Expert Syst. J. Knowl. Eng. Paulo Cortez, Manuel Filipe Santos
2013	Misc	`conf`	On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume. EPIA Nuno Oliveira, Paulo Cortez, Nelson Areal
2013	—	`ed.`	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. UDM@IJCAI João Gama, Michael May, Nuno Cavalheiro Marques, Paulo Cortez, Carlos Abreu Ferreira
2013	Misc	`conf`	Robust Optimization of Intradomain Routing Using Evolutionary Algorithms. DCAI Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha
2013	B	`conf`	Short-term electric load forecasting using computational intelligence methods. FUZZ-IEEE Sergio Jurado, Juan Peralta, Àngela Nebot, Francisco Mugica, Paulo Cortez
2013	—	`conf`	Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from Twitter. WIMS Nuno Oliveira, Paulo Cortez, Nelson Areal
2013	J	`jnl`	Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Neurocomputing Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel
2013	J	`jnl`	Using sensitivity analysis and visualization techniques to open black box data mining models. Inf. Sci. Paulo Cortez, Mark J. Embrechts
2012	—	`conf`	Evolutionary Support Vector Machines for Time Series Forecasting. ICANN (2) Paulo Cortez, Juan Peralta Donate
2012	—	`conf`	Evolutionary Symbiotic Feature Selection for Email Spam Detection. ICINCO (1) Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa
2012	J	`jnl`	Multi-scale Internet traffic forecasting using neural networks and time series methods. Expert Syst. J. Knowl. Eng. Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Sousa
2012	—	`conf`	Parallelization of an evolving Artificial Neural Networks system to Forecast Time Series using OPENMP and MPI. EAIS Borja Prior González, Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel
2012	B	`conf`	Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks. WCNC Tânia Calçada, Paulo Cortez, Manuel Ricardo
2011	—	`conf`	Evolving sparsely connected neural networks for multi-step ahead forecasting. GECCO (Companion) Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez
2011	—	`conf`	Evolving time-lagged feedforward neural networks for time series forecasting. GECCO (Companion) Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germán Gutiérrez Sánchez
2011	—	`conf`	Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. EUSFLAT Conf. Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavrickova, Germán Gutiérrez
2011	B	`conf`	Multiobjective Evolutionary Algorithms for intradomain routing optimization. IEEE Congress on Evolutionary Computation Miguel Rocha, Tiago Sá, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio
2011	C	`conf`	Opening black box Data Mining models using Sensitivity Analysis. CIDM Paulo Cortez, Mark J. Embrechts
2011	J	`jnl`	Quality of Service constrained routing optimization using Evolutionary Computation. Appl. Soft Comput. Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio
2011	J	`jnl`	Symbiotic filtering for spam email detection. Expert Syst. Appl. Clotilde Lopes, Paulo Cortez, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio
2011	—	`conf`	Traffic Engineering Approaches Using Multicriteria Optimization Techniques. WWIC Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha
2011	Misc	`conf`	Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time. EPIA Joaquim Tinoco, António Gomes Correia, Paulo Cortez
2011	—	`conf`	Weighted Cross-Validation Evolving Artificial Neural Networks to Forecast Time Series. SOCO Juan Peralta Donate, Paulo Cortez, Germán Gutiérrez Sánchez, Araceli Sanchis de Miguel
2010	A*	`conf`	Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool. ICDM Paulo Cortez
2010	B	`conf`	Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines. IJCNN Paulo Cortez
2010	A*	`conf`	Spam Email Filtering Using Network-Level Properties. ICDM Paulo Cortez, André Correia, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio
2009	—	`conf`	A Data Mining Approach for Jet Grouting Uniaxial Compressive Strength Prediction. NaBIC Joaquim Tinoco, António Gomes Correia, Paulo Cortez
2009	Misc	`conf`	An Intelligent Alarm Management System for Large-Scale Telecommunication Companies. EPIA Raúl Costa, Nuno Cachulo, Paulo Cortez
2009	J	`jnl`	Modeling wine preferences by data mining from physicochemical properties. Decis. Support Syst. Paulo Cortez, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis
2009	—	`conf`	Symbiotic Data Mining for Personalized Spam Filtering. Web Intelligence Paulo Cortez, Clotilde Lopes, Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio
2009	B	`conf`	Using Data Mining for Wine Quality Assessment. Discovery Science Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis
2008	—	`conf`	An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering. ICINCO-ICSO Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio
2008	—	`conf`	Multiconstrained Optimization of Networks with Multicast and Unicast Traffic. MMNS Pedro Nuno Miranda de Sousa, Miguel Rocha, Paulo Cortez, Miguel Rio
2008	J	`jnl`	Rating organ failure via adverse events using data mining in the intensive care unit. Artif. Intell. Medicine Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves
2007	J	`jnl`	Automatic Provisioning of QoS Aware OSPF Configurations. J. Networks Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez
2007	—	`conf`	Class-Based OSPF Traffic Engineering Inspired on Evolutionary Computation. WWIC Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez
2007	J	`jnl`	Evolution of neural networks for classification and regression. Neurocomputing Miguel Rocha, Paulo Cortez, José Neves
2007	—	`conf`	Evolutionary Computation for Quality of Service Internet Routing Optimization. EvoWorkshops Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio
2007	C	`conf`	Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems. CIDM Duarte Duque, Henrique Santos, Paulo Cortez
2007	—	`conf`	Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. EPIA Workshops Hélder Quintela, Manuel Filipe Santos, Paulo Cortez
2007	—	`conf`	Topology Aware Internet Traffic Forecasting Using Neural Networks. ICANN (2) Paulo Cortez, Miguel Rio, Pedro Nuno Miranda de Sousa, Miguel Rocha
2006	—	`conf`	Efficient OSPF Weight Allocation for Intra-domain QoS Optimization. IPOM Pedro Nuno Miranda de Sousa, Miguel Rocha, Miguel Rio, Paulo Cortez
2006	B	`conf`	Internet Traffic Forecasting using Neural Networks. IJCNN Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa
2006	J	`jnl`	Lamb Meat Quality Assessment by Support Vector Machines. Neural Process. Lett. Paulo Cortez, Manuel Portelinha, Sandra Rodrigues, Vasco Cadavez, Alfredo Teixeira
2006	J	`jnl`	Mortality assessment in intensive care units via adverse events using artificial neural networks. Artif. Intell. Medicine Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves
2006	—	`conf`	N-ary trees classifier. ICINCO-RA Duarte Duque, Henrique Santos, Paulo Cortez
2006	B	`conf`	QoS Constrained Internet Routing with Evolutionary Algorithms. IEEE Congress on Evolutionary Computation Miguel Rocha, Pedro Sousa, Miguel Rio, Paulo Cortez
2006	—	`conf`	The OBSERVER: An Intelligent and Automated Video Surveillance System. ICIAR (1) Duarte Duque, Henrique Santos, Paulo Cortez
2005	J	`jnl`	INTCare: a Knowledge Discovery Based Intelligent Decision Support System for Intensive Care Medicine. J. Decis. Syst. Pedro Gago, Manuel Filipe Santos, Santos Alvaro Silva, Paulo Cortez, José Neves, Lopes Gomes
2005	—	`conf`	Moving object detection unaffected by cast shadows, highlights and ghosts. ICIP (3) Duarte Duque, Henrique Santos, Paulo Cortez
2005	Misc	`conf`	Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. IWANN Miguel Rocha, Paulo Cortez, José Neves
2004	J	`jnl`	Evolving Time Series Forecasting ARMA Models. J. Heuristics Paulo Cortez, Miguel Rocha, José Neves
2004	—	`conf`	Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. ICEIS (Selected Papers) Álvaro M. Silva, Paulo Cortez, Manuel Santos, Lopes Gomes, José Neves
2004	—	`conf`	Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks. ICEIS (2) Álvaro M. Silva, Paulo Cortez, Manuel Filipe Santos, Lopes Gomes, José Neves
2003	B	`conf`	Adaptive Learning in Changing Environments. ESANN Miguel Rocha, Paulo Cortez, José Neves
2003	Misc	`conf`	Evolutionary Neural Network Learning. EPIA Miguel Rocha, Paulo Cortez, José Neves
2002	J	`jnl`	A Lamarckian Approach for Neural Network Training. Neural Process. Lett. Paulo Cortez, Miguel Rocha, José Neves
2002	—	`—`	Modelos inspirados na natureza para a previsão de séries temporais Paulo Cortez
2001	C	`conf`	Genetic and Evolutionary Algorithms for Time Series Forecasting. IEA/AIE Paulo Cortez, Miguel Rocha, José Neves
2001	B	`conf`	Lamarckian training of feedforward neural networks. ESANN Paulo Cortez, Miguel Rocha, José Neves
2001	B	`conf`	Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. CEC Miguel Rocha, Rui Mendes, Paulo Cortez, José Neves
2000	—	`conf`	Viewing Scheduling Problems through Genetic and Evolutionary Algorithms. IPDPS Workshops Miguel Rocha, Carla Vilela, Paulo Cortez, José Neves
1999	—	`conf`	A Unified Framework for Data Modeling on Medical Information Systems. MIE José Neves, Paulo Cortez, Miguel Rocha, António Abelha, José Machado, Victor Alves, Sousa Basto, Henrique Botelho, João Neves
1997	—	`conf`	An artificial neural network-genetic based approach for time series forecasting. SBRN José Neves, Paulo Cortez
1996	—	`conf`	A Software Agent Distributed System for Dynamic Load Balancing. ESM José Neves, José Machado, Lino Costa, Paulo Cortez
1995	—	`conf`	A neural network based time series forecasting system. ICNN Paulo Cortez, Miguel Rocha, José Machado, José Neves