L. Torgo

Latest

• A Study on the Impact of Data Characteristics in Imbalanced Regression Tasks
• Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting
• Explaining the Performance of Black Box Regression Models
• MetaUtil: Meta Learning for Utility Maximization in Regression
• Potential of dissimilatory nitrate reduction pathways in polycyclic aromatic hydrocarbon degradation
• Development of an autonomous system for integrated marine monitoring
• Distribution and Environmental Controls on Marine Nitrogen Biogeochemical Functions
• MarinEye - A tool for marine monitoring
• Presenting the MarinEye project – Development and validation of a prototype for multitrophic oceanic monitoring
• Spatial Interpolation Using Multiple Regression
• Predicting Rare Extreme Values
• Rule-based Prediction of Rare Extreme Values
• A Comparative Study on Predicting Algae Blooms in River Douro, Portugal
• Knowledge Discovery in Databases: PKDD 2005: 9th European Conference on Principles and Practice of Knowledge Discovery in Databases
• Machine Learning: ECML 2005: 16th European Conference on Machine Learning
• Regression Error Characteristic Surfaces
• Outlier Detection using Clustering Methods: a data cleaning application
• Clustered Partial Linear Regression
• Predicting Outliers
• Computationally Efficient Linear Regression Trees
• A study on end-cut preference in least squares regression trees
• Clustered Multivariate Regression
• Clustered Partial Linear Regression
• Clustered Partial Linear Regression
• Efficient and Comprehensible Local Regression
• Partial Linear Trees
• Inductive Learning of Tree-based Regression Models
• Predicting the Density of Algae Communities using Local Regression Trees
• A Comparative Study of Reliable Error Estimators for Pruning Regression Trees
• Error Estimates for Pruning Regression Trees
• Functional Models for Regression Tree Leaves
• Kernel Regression Trees