Outputs (3)

Structural Complexity and Performance of Support Vector Machines (2022)
Journal Article
Kazeem Olorisade, B., Brereton, P., & Andras, P. (2022). Structural Complexity and Performance of Support Vector Machines. International Joint Conference on Neural Networks, 2022, https://doi.org/10.1109/IJCNN55064.2022.9892368

Support vector machines (SVM) are often applied in the context of machine learning analysis of various data. Given the nature of SVMs, these operate always in the sub-interpolation range as a machine learning method. Here we explore the impact of str... Read More about Structural Complexity and Performance of Support Vector Machines.

Problems with Statistical Practice in Software Engineering Research (2019)
Conference Proceeding
Kitchenham, B., Madeyski, L., & Brereton, P. (2019). Problems with Statistical Practice in Software Engineering Research. In EASE '19 Proceedings of the Evaluation and Assessment on Software Engineering (134-143). https://doi.org/10.1145/3319008.3319009

Background
Examples of questionable statistical practice, when published in high quality software engineering (SE) journals, may lead to novice researchers adopting incorrect statistical practices.

Objective
Our goal is to highlight issues contr... Read More about Problems with Statistical Practice in Software Engineering Research.

A Critical Analysis of Studies that Address the Use of Text Mining for Citation Screening in Systematic Reviews (2016)
Conference Proceeding
Olorisade, B. K., de Quincey, E., Brereton, P., & Andras, P. (2016). A Critical Analysis of Studies that Address the Use of Text Mining for Citation Screening in Systematic Reviews.