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202. Induction of Slovene nominal paradigms

203. Ensembles of Multi-Objective Decision Trees

204. Clustering Trees with Instance Level Constraints

205. Stepwise Induction of Multi-target Model Trees

206. Combining Bagging and Random Subspaces to Create Better Ensembles

207. Analysis of hallux valgus angles automatically extracted from 3D foot scans taken in North America, Europe, and Asia.

209. Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations

210. Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics

211. From Inductive Logic Programming to Relational Data Mining

212. Learning Predictive Clustering Rules

213. Constraint Based Induction of Multi-objective Regression Trees

214. Inductive Queries on Polynomial Equations

217. Local Patterns: Theory and Practice of Constraint-Based Relational Subgroup Discovery

218. Hierarchical Multi-classification with Predictive Clustering Trees in Functional Genomics

223. Inducing Polynomial Equations for Regression

224. First Order Random Forests with Complex Aggregates

225. Inductive Databases of Polynomial Equations

227. Using Domain Specific Knowledge for Automated Modeling

235. Ranking with Predictive Clustering Trees

237. Theory Revision in Equation Discovery

240. Combining Multiple Models with Meta Decision Trees

241. Experiments in Meta-level Learning with ILP

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