| 2026 | IDA | Grasynda: Graph-Based Synthetic Time Series Generation. | Luis Amorim, Moiss Santos, Paulo J. Azevedo, Carlos Soares, Vtor Cerqueira |
| 2025 | AAAI | Stress-Testing of Multimodal Models in Medical Image-Based Report Generation. | Flvia Carvalhido, Henrique Lopes Cardoso, Vtor Cerqueira |
| 2025 | AAAI | Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine. | Luis Roque, Vtor Cerqueira, Carlos Soares, Lus Torgo |
| 2025 | DIS | Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space. | Carlos Soares, Paulo J. Azevedo, Vtor Cerqueira, Lus Torgo |
| 2025 | EPIA | Online Data Augmentation for Forecasting with Deep Learning. | Vtor Cerqueira, Moiss Santos, Luis Roque, Yassine Baghoussi, Carlos Soares |
| 2025 | EPIA | Benchmarking Time Series Feature Extraction for Algorithm Selection. | Moiss Rocha dos Santos, Vtor Cerqueira, Carlos Soares |
| 2025 | IDA | Meta-learning and Data Augmentation for Stress Testing Forecasting Models. | Ricardo Incio, Vtor Cerqueira, Marlia Barandas, Carlos Soares |
| 2024 | DIS | Forecasting with Deep Learning: Beyond Average of Average of Average Performance. | Vtor Cerqueira, Luis Roque, Carlos Soares |
| 2024 | EPIA | Time Series Data Augmentation as an Imbalanced Learning Problem. | Vtor Cerqueira, Nuno Moniz, Ricardo Incio, Carlos Soares |
| 2024 | EPIA | Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study. | Jos Leites, Vtor Cerqueira, Carlos Soares |
| 2024 | EPIA | Meta-TadGAN: Time Series Anomaly Detection Using TadGAN with Meta-features. | Ins Oliveira e Silva, Carlos Soares, Vtor Cerqueira, Arlete Rodrigues, Pedro Bastardo |
| 2021 | PRICAI | Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM. | Filipa Barros, Vtor Cerqueira, Carlos Soares |
| 2020 | DIS | Unsupervised Concept Drift Detection Using a Student-Teacher Approach. | Vtor Cerqueira, Heitor Murilo Gomes, Albert Bifet |
| 2019 | DIS | Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2018 | DSAA | SMOTEBoost for Regression: Improving the Prediction of Extreme Values. | Nuno Moniz, Rita P. Ribeiro, Vtor Cerqueira, Nitesh V. Chawla |
| 2017 | DSAA | Dynamic and Heterogeneous Ensembles for Time Series Forecasting. | Vtor Cerqueira, Lus Torgo, Mariana Oliveira, Bernhard Pfahringer |
| 2017 | DSAA | A Comparative Study of Performance Estimation Methods for Time Series Forecasting. | Vtor Cerqueira, Lus Torgo, Jasmina Smailovic, Igor Mozetic |
| 2017 | IWANN | Arbitrated Ensemble for Solar Radiation Forecasting. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2016 | IDA | Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance. | Vtor Cerqueira, Fbio Pinto, Cludio Rebelo de S, Carlos Soares |
| 2016 | PAKDD | Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. | Jihed Khiari, Lus Moreira-Matias, Vtor Cerqueira, Oded Cats |