| 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 |
| 2024 | KDD | RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms. | Luis Roque, Carlos Soares, Lus Torgo |
| 2022 | AI | A Clustering-based Approach for Predicting the Future Location of a Vessel. | Md. Mahbub Alam, Lus Torgo |
| 2021 | DSAA | Active Learning for Imbalanced Domains: the ALOD and ALOD-RE Algorithms. | Mayukh Bhattacharjee, Hema Sri Kambhampati, Paula Branco, Lus Torgo |
| 2020 | AI | Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. | Mohammad Etemad, Zahra Etemad, Amlcar Soares Jnior, Vania Bogorny, Stan Matwin, Lus Torgo |
| 2020 | WEBIST | Knowledge-based Reliability Metrics for Social Media Accounts. | Nuno Guimares, lvaro Figueira, Lus Torgo |
| 2019 | DIS | The CURE for Class Imbalance. | Colin Bellinger, Paula Branco, Lus Torgo |
| 2019 | DIS | Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2019 | DSAA | Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. | Mariana Oliveira, Nuno Moniz, Lus Torgo, Vtor Santos Costa |
| 2019 | DSAA | Explaining the Performance of Black Box Regression Models. | Ins Areosa, Lus Torgo |
| 2019 | DSAA | A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. | Paula Branco, Lus Torgo |
| 2019 | EDBT | On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. | Mohammad Etemad, Amlcar Soares Jnior, Stan Matwin, Lus Torgo |
| 2019 | EPIA | Visual Interpretation of Regression Error. | Ins Areosa, Lus Torgo |
| 2018 | DIS | MetaUtil: Meta Learning for Utility Maximization in Regression. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2018 | IC3K | Contributions to the Detection of Unreliable Twitter Accounts through Analysis of Content and Behaviour. | Nuno Guimares, lvaro Figueira, Lus Torgo |
| 2018 | IC3K | Analysis and Detection of Unreliable Users in Twitter: Two Case Studies. | Nuno Guimares, lvaro Figueira, Lus Torgo |
| 2018 | WEBIST | Current State of the Art to Detect Fake News in Social Media: Global Trendings and Next Challenges. | lvaro Figueira, Nuno Guimares, Lus Torgo |
| 2018 | SDM | Cost-Sensitive Learning: Preface. | Lus Torgo, Stan Matwin, Gary Weiss, Nuno Moniz, Paula Branco |
| 2017 | DSAA | Learning Through Utility Optimization in Regression Tasks. | Paula Branco, Lus Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau |
| 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 | EPIA | Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2017 | IWANN | Arbitrated Ensemble for Solar Radiation Forecasting. | Vtor Cerqueira, Lus Torgo, Carlos Soares |
| 2017 | PAKDD | Relevance-Based Evaluation Metrics for Multi-class Imbalanced Domains. | Paula Branco, Lus Torgo, Rita P. Ribeiro |
| 2016 | DIS | Predicting Wildfires - Propositional and Relational Spatio-Temporal Pre-processing Approaches. | Mariana Oliveira, Lus Torgo, Vtor Santos Costa |
| 2016 | DSAA | Resampling Strategies for Imbalanced Time Series. | Nuno Moniz, Paula Branco, Lus Torgo |
| 2016 | IC3K | Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis. | Nuno Guimares, Lus Torgo, lvaro Figueira |
| 2016 | ICDM | Time-Based Ensembles for Prediction of Rare Events in News Stream. | Nuno Moniz, Lus Torgo, Magdalini Eirinaki |
| 2015 | EPIA | Forecasting the Correct Trading Actions. | Lus Baa, Lus Torgo |
| 2015 | IDA | Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? | Leona Nezvalov, Lubos Popelnsk, Lus Torgo, Karel Vaculk |
| 2014 | ACML | Ensembles for Time Series Forecasting. | Mariana Oliveira, Lus Torgo |
| 2014 | IDA | Resampling Approaches to Improve News Importance Prediction. | Nuno Moniz, Lus Torgo, Ftima Rodrigues |
| 2013 | EPIA | SMOTE for Regression. | Lus Torgo, Rita P. Ribeiro, Bernhard Pfahringer, Paula Branco |
| 2012 | ECAI | Wind speed forecasting using spatio-temporal indicators. | Orlando Ohashi, Lus Torgo |
| 2012 | ICDM | Spatial Interpolation Using Multiple Regression. | Orlando Ohashi, Lus Torgo |
| 2011 | IJCAI | Utility-Based Fraud Detection. | Lus Torgo, Elsa Lopes |
| 2011 | KDD | 2D-interval predictions for time series. | Lus Torgo, Orlando Ohashi |
| 2011 | RANLP | A Contextual Classification Strategy for Polarity Analysis of Direct Quotations from Financial News. | Brett Drury, Gal Dias, Lus Torgo |
| 2010 | ECAI | Interval Forecast of Water Quality Parameters. | Orlando Ohashi, Lus Torgo, Rita P. Ribeiro |
| 2009 | DIS | Precision and Recall for Regression. | Lus Torgo, Rita P. Ribeiro |
| 2009 | EPIA | Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data. | Lus Torgo, Welma Pereira, Carlos Soares |
| 2007 | EPIA | Resource-Bounded Fraud Detection. | Lus Torgo |
| 2006 | DIS | Rule-Based Prediction of Rare Extreme Values. | Rita P. Ribeiro, Lus Torgo |
| 2006 | PAKDD | Predicting Rare Extreme Values. | Lus Torgo, Rita P. Ribeiro |
| 2005 | EPIA | Adapting Peepholing to Regression Trees. | Lus Torgo, Joana Marques |
| 2005 | KDD | Regression error characteristic surfaces. | Lus Torgo |
| 2003 | EPIA | Predicting Harmful Algae Blooms. | Rita P. Ribeiro, Lus Torgo |
| 2003 | EPIA | Automatic Selection of Table Areas in Documents for Information Extraction. | Ana Costa e Silva, Alpio Jorge, Lus Torgo |
| 2001 | EPIA | The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction. | Pedro de Almeida, Lus Torgo |
| 2001 | EPIA | A Study on End-Cut Preference in Least Squares Regression Trees. | Lus Torgo |
| 2000 | ICML | Partial Linear Trees. | Lus Torgo |
| 2000 | PAKDD | Efficient and Comprehensible Local Regression. | Lus Torgo |
| 1997 | ICML | Functional Models for Regression Tree Leaves. | Lus Torgo |