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Measuring Instance Hardness Using Data Complexity Measures., , and . BRACIS (2), volume 12320 of Lecture Notes in Computer Science, page 483-497. Springer, (2020)Protein cellular localization prediction with Support Vector Machines and Decision Trees., and . Comput. Biol. Medicine, 37 (2): 115-125 (2007)Machine Teaching: An Explainable Machine Learning Model for Individualized Education., and . BRACIS (1), volume 14195 of Lecture Notes in Computer Science, page 321-336. Springer, (2023)A Framework for Characterizing What Makes an Instance Hard to Classify., , , and . BRACIS (2), volume 14196 of Lecture Notes in Computer Science, page 353-367. Springer, (2023)Evaluating Data Characterization Measures for Clustering Problems in Meta-learning., , and . ICONIP (1), volume 13108 of Lecture Notes in Computer Science, page 621-632. Springer, (2021)Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods., , , and . SIBGRAPI, page 331-338. IEEE Computer Society, (2010)Tree Decomposition of Multiclass Problems., and . SBRN, page 189-194. IEEE Computer Society, (2008)Gene Essentiality Prediction Using Topological Features From Metabolic Networks., , , , and . BRACIS, page 91-96. IEEE Computer Society, (2018)Support Vector Machines Applied to White Blood Cell Recognition., , and . HIS, page 379-384. IEEE Computer Society, (2005)Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees., and . BSB, volume 3594 of Lecture Notes in Computer Science, page 42-53. Springer, (2005)