Luis Torgo
Luis Torgo
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L. Torgo
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A Brief Overview on the Strategies to Fight Back the Spread of False Information
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
Uma Breve Introdução à Data Science (in portuguese)
Development of an autonomous system for integrated marine monitoring
Distribution and Environmental Controls on Marine Nitrogen Biogeochemical Functions
Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis
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
Classifying news stories to estimate the direction of a stock market index
Design of an end-to-end method to extract information from tables
Predicting Rare Extreme Values
Rule-based Prediction of Rare Extreme Values
A Comparative Study on Predicting Algae Blooms in River Douro, Portugal
Adapting Peepholing to Regression Trees
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
The TNT Financial Trading System: a midterm report
Outlier Detection using Clustering Methods: a data cleaning application
Clustered Partial Linear Regression
Data Mining and Decision Support, Integration and Collaboration
Predicting Outliers
Selection of Table Areas for Information Extraction
Computationally Efficient Linear Regression Trees
A study on end-cut preference in least squares regression trees
The Use of Domain Knowledge in Feature Construction for Financial Time Series Prediction
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
Regression using Classification Algorithms
Search-based Class Discretization
Knowledge Integration and Forgetting
Learning in Distributed Systems and Multi-Agent Environments
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