245 citations · 333 across the 5 of their papers we have counts for
5 papers
Separate and conquer heuristic allows robust mining of contrast sets in classification, regression, and survival data
Adam Gudyś, Marek Sikora, Łukasz Wróbel
Identifying differences between groups is one of the most important knowledge discovery problems. The procedure, also known as contrast sets mining, is applied in a wide range of a…
RuleKit: A Comprehensive Suite for Rule-Based Learning
Adam Gudyś, Marek Sikora, Łukasz Wróbel
Rule-based models are often used for data analysis as they combine interpretability with predictive power. We present RuleKit, a versatile tool for rule learning. Based on a sequen…
GuideR: a guided separate-and-conquer rule learning in classification, regression, and survival settings
Marek Sikora, Łukasz Wróbel, Adam Gudyś
This article presents GuideR, a user-guided rule induction algorithm, which overcomes the largest limitation of the existing methods-the lack of the possibility to introduce user's…
Aligning 415 519 proteins in less than two hours on PC
Sebastin Deorowicz, Agnieszka Debudaj-Grabysz, Adam Gudys
Rapid development of modern sequencing platforms enabled an unprecedented growth of protein families databases. The abundance of sets composed of hundreds of thousands sequences is…
QuickProbs 2: towards rapid construction of high-quality alignments of large protein families
Adam Gudys, Sebastian Deorowicz
Increasing size of sequence databases caused by the development of high throughput sequencing, poses multiple alignment algorithms to face one of the greatest challenges yet. As we…