Orange: data mining toolbox in python

By Jaka Demsar, Tomaž Curk, Ales Erjavec, C. Gorup, Tomaž Hočevar, Mitar Milutinovic, Martin Mozina, Matija Polajnar, Marko Toplak, A. Staric and 6 more. Journal of machine learning research, 2013

2,143 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bb144c04b9eb44579b19d21c3d5954401408440b

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Citations in the corpus

Comprehensibility of Classification Trees–Survey Design (2019, methodology): “The classifiers are learned on a single dataset and visualized using Orange tool [5] in order to be consistent across all the tasks and enable reliable and prompt responding.”
Ten quick tips for machine learning in computational biology (2017, background): “On the other hand, Python is a high-level interpreted programming language, which provides multiple fast machine learning libraries (for example, Pylearn2 [52], Scikit-learn [53]), mathematical libraries (such as Theano [54]), and data mining toolboxes (such as Orange [55]).”
scOrange—a tool for hands-on training of concepts from single-cell data analytics (2019, background): “As nicely stated by Kosara and MacKinlay (2013), ‘stories also offer an effective means of packaging information and knowledge in a way that is easy for another person to understand’.”
Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective (2020, methodology): “Moreover, a qualitative analysis (word cloud) of the students’ personal reflections on the COVID-19 pandemic was facilitated with the Orange software [76].”
Relief-Based Feature Selection: Introduction and Review (2017, background): “, 2009) (in Java), Orange (Demšar et al., 2013), and R (Ihaka and Gentleman, 1996) (within the dprep and CORElearn packages).”
Radiomics with artificial intelligence: a practical guide for beginners. (2019, methodology): “There are many free software programs for this purpose such as Waikato environment for knowledge analysis (WEKA) software (36), Orange data mining software (37), RapidMiner (https://rapidminer.”