Publications

(2019). Visual Interpretation of Regression Error. Progress in Artificial Intelligence.

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(2019). On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019.

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(2019). Explaining the Performance of Black Box Regression Models. 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

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(2019). Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

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(2019). A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks. 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

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(2018). REBAGG: REsampled BAGGing for Imbalanced Regression. Proceedings of Machine Learning Research (PMLR).

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(2018). MetaUtil: Meta Learning for Utility Maximization in Regression. Proceedings of the International Conference on Discovery Science, DS’18.

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(2018). Cost-Sensitive Learning: Preface. Proceedings of Machine Learning Research (PMLR).

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(2017). SMOGN: a Pre-processing Approach for Imbalanced Regression. Proceedings of Machine Learning Research (PMLR).

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(2017). Resampling Strategies for Imbalanced Time Series Forecasting. International Journal of Data Science and Analytics.

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(2017). Relevance-based Evaluation Metrics for Multi-class Imbalanced Domains. Advances in Knowledge Discovery and Data Mining - 21th Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings.

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(2017). Learning with Imbalanced Domains: preface. Proceedings of Machine Learning Research (PMLR).

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(2017). Learning Through Utility Optimization in Regression Tasks. IEEE International Conference on Data Science and Advanced Analytics (DSAA’2017).

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(2017). Exploring Resampling with Neighborhood Bias on Imbalanced Regression Problems. Proceedings of 18th EPIA Conference on Artificial Intelligence (EPIA 2017).

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(2017). Evaluation of Ensemble Methods in Imbalanced Regression Tasks. Proceedings of Machine Learning Research (PMLR).

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(2017). Dynamic and Heterogeneous Ensembles for Time Series Forecasting. IEEE International Conference on Data Science and Advanced Analytics (DSAA’2017).

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(2017). Arbitrated Ensemble for Time Series Forecasting. Proceedings of the ECML/PKDD’2017 Conference.

(2017). A Comparative Study of Performance Estimation Methods for Time Series Forecasting. IEEE International Conference on Data Science and Advanced Analytics (DSAA’2017).

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(2016). Regression Trees. In: Encyclopedia of Machine Learning and Data Mining.

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(2016). Model Trees. In: Encyclopedia of Machine Learning and Data Mining.

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(2014). Ensembles for Time Series Forecasting. Proceedings of Asian Conference on Machine Learning (ACML’2014)..

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(2013). OpenML: A collaborative Science Platform. Proceedings of ECML/PKDD’2013.

(2012). Wind speed forecasting using spatio-temporal indicators. ECAI 2012 - 20th European Conference on Artificial Intelligence.

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(2012). Spatial Interpolation Using Multiple Regression. Data Mining (ICDM), 2012 IEEE 12th International Conference on.

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(2011). Regression Trees. In: Encyclopedia of Machine Learning.

(2011). Model Trees. In: Encyclopedia of Machine Learning.

(2011). 2D-interval predictions for time series. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’2011.

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(2010). Resource-bounded Outlier Detection Using Clustering Methods. In: Data Mining for Business Applications.

(2010). Modelos de Previs\~ao de Valores Extremos e Raros. Boletim da Sociedade Portuguesa de Estat{‘i}stica.

(2010). Interval Forecast of Water Quality Parameters. ECAI 2010 - 19th European Conference on Artificial Intelligence.

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(2008). Utility-based performance measures for regression. Proceedings of the 3rd Workshop on Evaluation Methods for Machine Learning, in conjunction with the 25th International Conference on Machine Learning (ICML 2008).

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(2008). A Comparative Study on Predicting Algae Blooms in Douro River, Portugal. Ecological Modelling - Selected Papers from the 5th European Conference on Ecological Modelling.

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(2007). Utility-based Regression. Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007).

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(2006). Rule-based Prediction of Rare Extreme Values. Proceedings of the 9th International Conference on Discovery Science (DS’2006).

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(2006). Predicting Rare Extreme Values. Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’2006).

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(2005). Regression Error Characteristic Surfaces. Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2005).

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(2005). A Comparative Study on Predicting Algae Blooms in River Douro, Portugal. Proceedings of the V European Conference on Ecological Modelling (ECEM-2005).

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(2004). Outlier Detection using Clustering Methods: a data cleaning application. Proceedings of KDNet Symposium on Knowledge-based Systems for the Public Sector.

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(2003). Predicting Outliers. Proceedings of Principles of Data Mining and Knowledge Discovery (PKDD’03).

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(2002). Computationally Efficient Linear Regression Trees. Classification, Clustering and Data Analysis: recent advances and applications (Proc. of IFCS 2002).

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(2001). A study on end-cut preference in least squares regression trees. Proceedings of the Portuguese AI Conference (EPIA 2001).

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(2000). Thesis: Inductive learning to tree-based regression models.. AI Commun..

(2000). Partial Linear Trees. Proceedings of the 17th International Conference on Machine Learning (ICML 2000).

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(2000). Efficient and Comprehensible Local Regression. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000).

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(2000). Clustered Partial Linear Regression. Proceedings of the 11th European Conference on Machine Learning (ECML 2000).

(2000). Clustered Partial Linear Regression. Proceedings of the Fifth International Workshop on Multistrategy Learning (MSL-2000).

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(2000). Clustered Multivariate Regression. Data Analysis, Classification, and Related Methods.

(1999). Predicting the Density of Algae Communities using Local Regression Trees. Proceedings of the European Congress on Intelligent Techniques and Soft Computing (EUFIT’99).

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(1999). Inductive Learning of Tree-based Regression Models. Faculty of Sciences, University of Porto.

(1998). Error Estimates for Pruning Regression Trees. Proceedings of the 10th European Conference on Machine Learning.

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(1998). A Comparative Study of Reliable Error Estimators for Pruning Regression Trees. Proceedings of the Iberoamericam Conference on AI (IBERAMIA-98).

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(1997). Kernel Regression Trees. Poster papers of the European Conference on Machine Learning (ECML-97).

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(1997). Functional Models for Regression Tree Leaves. Proceedings of the 14th International Conference on Machine Learning.

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(1995). Data Fitting with Rule-based Regression. Proceedings of the 2nd International Workshop on Artificial Intelligence Techniques (AIT 1995).

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(1995). Applying Propositional Learning to Time Series Prediction. Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases.

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