| 2026 | SAC | ARGUS: A Large Language Model Reasoning System for Machine Learning Task Identification. | Carlos Gonalves, Pedro Pereira, Paulo Cortez |
| 2025 | GECCO | A Dijkstra Seeded Evolutionary Multiobjective Optimization System for a Sustainable User Multimodal Transport Routing. | Guilherme Barbosa, Pedro Pereira, Vasco Abelha, Rui Mendes, Paulo Cortez |
| 2025 | ICTAI | MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model. | Eduardo Dias, Andr Luiz Pilastri, Artur Ferreira, Bruno Lemos, Paulo Cortez |
| 2024 | EPIA | A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities. | Pedro Jos Pereira, Nuno Costa, Pedro Mestre, Paulo Cortez |
| 2024 | EPIA | A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models. | Hlder Teixeira, Arthur Matta, Andr Luiz Pilastri, Lus Ferreira, Pedro Jos Pereira, Carlos Adriano Gonalves, Paulo Cortez |
| 2024 | KES | Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML. | Arthur Matta, Lus Miguel Matos, Andr Luiz Pilastri, Jorge Miguel Silva, Miguel Bastos Gomes, Paulo Cortez |
| 2023 | EPIA | A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities. | Daniela Soares, Pedro Jos Pereira, Paulo Cortez, Carlos Adriano Gonalves |
| 2023 | ICCSA | Predicting Multiple Domain Queue Waiting Time via Machine Learning. | Carolina Loureiro, Pedro Jos Pereira, Paulo Cortez, Pedro Guimares, Carlos Moreira, Andr Pinho |
| 2023 | SAC | AI4CITY - An Automated Machine Learning Platform for Smart Cities. | Pedro Jos Pereira, Carlos Gonalves, Lara Lopes Nunes, Paulo Cortez, Andr Luiz Pilastri |
| 2022 | EPIA | A Comparison of Automated Time Series Forecasting Tools for Smart Cities. | Pedro Jos Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Dures, Antnio Silva, Jos Machado |
| 2022 | ICAART | A Machine Learning Approach for Spare Parts Lifetime Estimation. | Lusa Macedo, Lus Miguel Matos, Paulo Cortez, Andr Domingues, Guilherme Moreira, Andr Luiz Pilastri |
| 2022 | IJCNN | A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. | Cristiana Fernandes, Lus Miguel Matos, Duarte Folgado, Maria Lua Nunes, Joo Rui Pereira, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | IDEAL | An Intelligent Decision Support System for Road Freight Transport. | Hugo Carvalho, Andr Luiz Pilastri, Arthur Matta, Lus Miguel Matos, Rui Novais, Paulo Cortez |
| 2022 | IDEAL | A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. | Lus Santos, Lus Miguel Matos, Lus Ferreira, Pedro Alves, Mrio Viana, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | KES | Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. | Joo Azevedo, Rui Ribeiro, Lus Miguel Matos, Rui Sousa, Joo Paulo Silva, Andr Luiz Pilastri, Paulo Cortez |
| 2022 | RCIS | Bosch's Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support. | Joo Galvo, Diogo Ribeiro, Ins Arajo Machado, Filipa Ferreira, Jlio Gonalves, Rui Faria, Guilherme Moreira, Carlos Costa, Paulo Cortez, Maribel Yasmina Santos |
| 2022 | SAC | A federated machine learning approach to detect international revenue share fraud on the 5G edge. | Lus Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | EPIA | A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. | Pedro Jos Pereira, Adriana Pereira, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | ICCSA | A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. | Diogo Ribeiro, Lus Miguel Matos, Paulo Cortez, Guilherme Moreira, Andr Luiz Pilastri |
| 2021 | IJCNN | A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. | Lus Ferreira, Andr Luiz Pilastri, Carlos Manuel Martins, Pedro Miguel Pires, Paulo Cortez |
| 2021 | IDEAL | Prediction of Maintenance Equipment Failures Using Automated Machine Learning. | Lus Ferreira, Andr Luiz Pilastri, Vtor Sousa, Filipe Romano, Paulo Cortez |
| 2021 | IDEAL | A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. | Lus Miguel Matos, Andr Domingues, Guilherme Moreira, Paulo Cortez, Andr Luiz Pilastri |
| 2021 | IDEAL | An Intelligent Decision Support System for Production Planning in Garments Industry. | Rui Ribeiro, Andr Luiz Pilastri, Hugo Carvalho, Arthur Matta, Pedro Jos Pereira, Pedro Rocha, Marcelo Pitanga Alves, Paulo Cortez |
| 2021 | KES | Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. | Pedro Jos Pereira, Gabriel Coelho, Alexandrine Ribeiro, Lus Miguel Matos, Eduardo C. Nunes, Andr L. Ferreira, Andr Luiz Pilastri, Paulo Cortez |
| 2020 | GECCO | A realistic scooter rebalancing system via metaheuristics. | Guilherme Fernandes, Nuno Oliveira, Paulo Cortez, Rui Mendes |
| 2020 | ICAART | An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management. | Lus Ferreira, Andr Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez |
| 2020 | ICAART | A Scalable and Automated Machine Learning Framework to Support Risk Management. | Lus Ferreira, Andr Luiz Pilastri, Carlos Martins, Pedro Santos, Paulo Cortez |
| 2020 | ICCSA | Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location. | Paola Zola, Paulo Cortez, Maurizio Tesconi |
| 2019 | EPIA | Using Neuroevolution for Predicting Mobile Marketing Conversion. | Pedro Jos Pereira, Pedro Pinto, Rui Mendes, Paulo Cortez, Antoine Moreau |
| 2019 | IJCNN | Using Deep Learning for Mobile Marketing User Conversion Prediction. | Lus Miguel Matos, Paulo Cortez, Rui Mendes, Antoine Moreau |
| 2019 | IDEAL | Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion. | Lus Miguel Matos, Paulo Cortez, Rui Castro Mendes, Antoine Moreau |
| 2018 | ICANN | A Deep Learning Approach for Sentence Classification of Scientific Abstracts. | Srgio Gonalves, Paulo Cortez, Srgio Moro |
| 2017 | EPIA | Mining Rational Team Concert Repositories: A Case Study on a Software Project. | Pedro Cunha, Andr L. Ferreira, Paulo Cortez |
| 2017 | EPIA | Multi-objective Learning of Neural Network Time Series Prediction Intervals. | Pedro Jos Pereira, Paulo Cortez, Rui Mendes |
| 2015 | EMO | Combining Data Mining and Evolutionary Computation for Multi-criteria Optimization of Earthworks. | Manuel Parente, Paulo Cortez, Antnio Gomes Correia |
| 2015 | EMO | Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. | Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha |
| 2015 | EPIA | A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News. | Kelwin Fernandes, Pedro Vinagre, Paulo Cortez |
| 2015 | PDP | Preprocessing of Scenarios for Fast and Efficient Routing Reconfiguration in Fault-Tolerant NoCs. | Jarbas Silveira, Csar A. M. Marcon, Paulo Cortez, Giovanni Cordeiro Barroso, Joao Marcelo Ferreira, Rafael Mota |
| 2014 | IDEAS | Automatic creation of stock market lexicons for sentiment analysis using StockTwits data. | Nuno Oliveira, Paulo Cortez, Nelson Areal |
| 2013 | DCAI | Robust Optimization of Intradomain Routing Using Evolutionary Algorithms. | Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha |
| 2013 | EPIA | On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume. | Nuno Oliveira, Paulo Cortez, Nelson Areal |
| 2012 | ICANN | Evolutionary Support Vector Machines for Time Series Forecasting. | Paulo Cortez, Juan Peralta Donate |
| 2012 | ICINCO | Evolutionary Symbiotic Feature Selection for Email Spam Detection. | Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa |
| 2012 | WCNC | Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks. | Tnia Calada, Paulo Cortez, Manuel Ricardo |
| 2011 | CEC | Multiobjective Evolutionary Algorithms for intradomain routing optimization. | Miguel Rocha, Tiago S, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio |
| 2011 | CIDM | Opening black box Data Mining models using Sensitivity Analysis. | Paulo Cortez, Mark J. Embrechts |
| 2011 | EPIA | Using Data Mining Techniques to Predict Deformability Properties of Jet Grouting Laboratory Formulations over Time. | Joaquim Tinoco, Antnio Gomes Correia, Paulo Cortez |
| 2011 | EUSFLAT | Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods. | Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavrickova, Germn Gutirrez |
| 2011 | GECCO | Evolving time-lagged feedforward neural networks for time series forecasting. | Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germn Gutirrez Snchez |
| 2011 | GECCO | Evolving sparsely connected neural networks for multi-step ahead forecasting. | Juan Peralta Donate, Paulo Cortez, Araceli Sanchis de Miguel, Germn Gutirrez Snchez |
| 2010 | IJCNN | Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines. | Paulo Cortez |
| 2009 | DIS | Using Data Mining for Wine Quality Assessment. | Paulo Cortez, Juliana Teixeira, Antnio Cerdeira, Fernando Almeida, Telmo Matos, Jos Reis |
| 2009 | EPIA | An Intelligent Alarm Management System for Large-Scale Telecommunication Companies. | Ral Costa, Nuno Cachulo, Paulo Cortez |
| 2008 | ICINCO | An Evolutionary Algorithm for Unicast/ Multicast Traffic Engineering. | Miguel Rocha, Pedro Nuno Miranda de Sousa, Paulo Cortez, Miguel Rio |
| 2007 | CIDM | Prediction of Abnormal Behaviors for Intelligent Video Surveillance Systems. | Duarte Duque, Henrique Santos, Paulo Cortez |
| 2007 | EPIA | Real-Time Intelligent Decision Support System for Bridges Structures Behavior Prediction. | Hlder Quintela, Manuel Filipe Santos, Paulo Cortez |
| 2007 | ICANN | Topology Aware Internet Traffic Forecasting Using Neural Networks. | Paulo Cortez, Miguel Rio, Pedro Nuno Miranda de Sousa, Miguel Rocha |
| 2006 | CEC | QoS Constrained Internet Routing with Evolutionary Algorithms. | Miguel Rocha, Pedro Sousa, Miguel Rio, Paulo Cortez |
| 2006 | ICINCO | N-ary trees classifier. | Duarte Duque, Henrique Santos, Paulo Cortez |
| 2006 | IJCNN | Internet Traffic Forecasting using Neural Networks. | Paulo Cortez, Miguel Rio, Miguel Rocha, Pedro Nuno Miranda de Sousa |
| 2005 | ICIP | Moving object detection unaffected by cast shadows, highlights and ghosts. | Duarte Duque, Henrique Santos, Paulo Cortez |
| 2005 | IWANN | Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression. | Miguel Rocha, Paulo Cortez, Jos Neves |
| 2003 | EPIA | Evolutionary Neural Network Learning. | Miguel Rocha, Paulo Cortez, Jos Neves |
| 2003 | ESANN | Adaptive Learning in Changing Environments. | Miguel Rocha, Paulo Cortez, Jos Neves |
| 2001 | CEC | Sitting guests at a wedding party: experiments on genetic and evolutionary constrained optimization. | Miguel Rocha, Rui Mendes, Paulo Cortez, Jos Neves |
| 2001 | ESANN | Lamarckian training of feedforward neural networks. | Paulo Cortez, Miguel Rocha, Jos Neves |