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.
Regression error characteristic surfaces.
Luis Torgo – CRC Press Online
He teaches R at different levels and has given several courses in different countries. Applications to Financial Trading. By submitting this form, you give permission to the use of your personal data according to the conditions above. Potential of dissimilatory nitrate reduction pathways in polycyclic aromatic hydrocarbon degradation. Luis Torgo main contributions to the state of the art on data mining and machine learning are related with tree-based regression methods and more recently with utility-based forecasting togo.
Data Mining with R. 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. Resampling with neighbourhood bias on imbalanced domains. My profile My library Metrics Alerts. Ibero-American Conference on Artificial Intelligence, Trier 1 Trier 2.
Predicted microbial functional analyses revealed clear shifts and interrelationships between genes involved in anaerobic and aerobic degradation of PAHs and in the dissimilatory nitrate-reducing pathways denitrification and dissimilatory nitrate reduction to ammonium – DNRA. However, we observe ttorgo all cross-validation variants tend to overestimate the performance, while torg sequential methods tend to underestimate it. In that case, your data will be automatically deleted from our information system.
Mariana OliveiraLuis Torgo: Abstract This study investigates the potential of an indigenous estuarine microbial consortium to degrade two polycyclic aromatic hydrocarbons PAHsnaphthalene and fluoranthene, under nitrate-reducing conditions.
Your subscription has been successfully removed. Sentiment classes are ordered and unbalanced, and Twitter produces a stream of time-ordered data. Global Trendings and Next Challenges. Expert Systems 34 1 New citations to this author. Paula Branco Utility-based Predictive Analytics. Resampling with Neighbourhood Bias on Imbalanced Domains. The corresponding in-sample data-sets are used to empirically compare six different estimation procedures: Predicting algae blooms Predicting stock market returns Detecting fraudulent transactions Classifying microarray samples.
Their combined citations are counted only for the first article. My research revolves around the general area of Data Science, togro a strong focus on Predictive Analytics.
Regression Using Classification Algorithms. Access to the Final Selection Minute The access to the final selection minute is only available to applicants. Standard cross-validation with random selection of examples is significantly worse than the blocked cross-validation, and should not be used to evaluate classifiers in time-ordered data scenarios.
Predictive Analytics and the Ocean My favourite tool is the R programming language and environment. He has been doing research in the area of Data Mining and Machine Learning sinceand has published lius papers in several foruns of these areas. Encyclopedia of Machine Learning Arbitrated Ensemble for Solar Radiation Forecasting.
Naphthalene and fluoranthene levels decreased over time with distinct degradation dynamics varying with sediment type. Proceedings of Discovery Science New articles related luiis this author’s research. The book follows a “learn by doing it” approach to data mining instead of the more frequent theoretical description of the techniques available in this discipline.
Learning with Case Studies. European Working Session on Learning, Get my own profile Cited by View all All Since Citations h-index 24 18 iindex 42 Error Estimators for Pruning Regression Trees. Six months in a row as 1 selling Data Mining book at amazon.
luks Encyclopedia of Machine Learning and Data Mining This is accomplished by presenting a series of illustrative case studies for which all necessary steps, code and data are provided to the reader. Data Mining with R: