Proceedings of KDNet Symposium on Knowledge-based systems for the Public Sector, , Functional models for regression tree leaves. L Torgo. List of computer science publications by Luís Torgo. Luis Torgo is an Associate Professor of the Department of Computer Science of the Faculty of Sciences of the University of Porto, Portugal. He is a senior.

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We collected a large set of 1. However, we observe that all cross-validation variants tend to overestimate the lluis, while the sequential methods tend to underestimate it. Get my own profile Cited by View all All Since Citations h-index 24 18 iindex 42 Expert Systems4e Title Cited by Year Data mining with R: Functional Models for Regression Tree Leaves.

Ensembles luuis Time Series Forecasting. Arbitrated Ensemble for Time Series Forecasting.

Luís Torgo – Google Scholar Citations

Luis Torgo accompanies the R project luks since its beginning, using it on his research activities. Vitor Cerqueira University of Porto Verified email at inesctec. European Conference on Machine Learning, Meta Learning for Utility Luks in Regression. New articles related to this author’s research. Recently, it was recognized that imbalanced domains occur in several other contexts and for multiple tasks, such as regression tasks, where the target variable is continuous.


Book went to the printer! Efficient and Comprehensible Local Regression. The results of this study contribute to the understanding of the dissimilatory nitrate-reducing pathways and help uncover their involvement in degradation of PAHs, which will be crucial for directing remediation strategies of PAH-contaminated anoxic sediments. Data Mining I CC European Working Session on Learning, Portuguese conference on artificial intelligence, Regression error characteristic surfaces.

His current broad research interests revolve around analyzing data from dynamic environments, with a particular focus on time and space-time dependent data sets, in the search for unexpected events.

Luis Torgo Home Page

It is not politically correct, nor does it intend to be the voice of the Board of Directors. Wind speed forecasting using spatio-temporal indicators.

Evaluation procedures for forecasting with spatio-temporal data. Dynamic Discretization of Continuous Attributes. Expert Systems 35 4 Access to the Final Selection Minute The access to the final selection minute is only available to applicants. Data Mining with R.

R academic applied-research basic-research biology concluded consulting-projects cost-sensitive learning costs ensembles evaluation feature engineering imbalance distributions imbalanced distributions imbalanced domains metal learning ongoing ongoing-projects past-projects phd postdoc regression trees relational learning spatiotemporal text mining time series utility utility’based learning.


PMLR88, pp.

Selected Publications

This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Most of the main data mining processes and techniques puis covered in the book by means of the presentation of four detailed case studies: How to evaluate sentiment classifiers for Twitter time-ordered data?

The following articles are merged in Scholar. My profile My library Metrics Alerts. My favourite tool is the R programming language and environment.

Expert Systems luiw 3: Articles Cited by Co-authors. In this work, we propose variants of existing resampling strategies that are able to take into account the information regarding the neighbourhood of the examples.

BertholdJoaquin Vanschoren: He teaches R at different levels and has given several courses in different countries. Nitrolimit Life at the Edge: In this paper we focus on sentiment classification of Twitter data. Three months in a row as 1 selling Data Mining book at amazon.