Publications
empirical evaluation of ranking trees on some metalearning problems. aaai workshop - technical report. 2008;ws-08-09:85-90.Edit
Empirical evaluation of ranking trees on some metalearning problems. In: AAAI Workshop - Technical Report.; 2008. Edit
letter to the editor [2]. australian and new zealand journal of statistics. 2007;49:205-207.Edit
measures to evaluate rankings of classification algorithms. data analysis, classification, and related methods. 2000:119-124.Edit
Measures to evaluate rankings of classification algorithms. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit
mining association rules for label ranking. advances in knowledge discovery and data mining, pt ii: 15th pacific-asia conference, pakdd 2011. 2011;6635:432-443.Edit
Mining Association Rules for Label Ranking. In: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011.; 2011. Edit
ranking learning algorithms: using ibl and meta-learning on accuracy and time results. machine learning. 2003;50:251-277.Edit
rejoinder to letter to the editor from c. genest and j-f. plante concerning 'pinto da costa, j. & soares, c. (2005) a weighted rank measure of correlation.'. australian & new zealand journal of statistics. 2007;49:205-207.Edit
The weighted rank correlation coefficient in the case of ties. STATISTICS & PROBABILITY LETTERS. 2015.Edit
the weighted rank correlation coefficient rw2 in the case of ties. statistics and probability letters. 2015;99:20-26.Edit