172 citations · 203 across the 7 of their papers we have counts for
8 papers
EasyClassifier: Honest, Reproducible Machine-Learning Classification for Researchers Who Do Not Program
Ahmad B. A. Hassanat, Ghada A. Altarawneh
Machine-learning classification is now used across medicine, the social sciences, economics, education and engineering, very often by researchers who do not program. Two errors rec…
Synthetic minority data is redundant or invalid: a data-dependent validity theory and a de-biased test
Ahmad B. Hassanat, Ahmad S. Tarawneh, Ghada A. Altarawneh
For two decades, the standard remedy for class-imbalanced learning has been to fabricate synthetic minority examples, and the standard evidence of their validity has been a check t…
Stop Oversampling for Class Imbalance Learning: A Critical Review
Ahmad B. Hassanat, Ahmad S. Tarawneh, Ghada A. Altarawneh +1
For the last two decades, oversampling has been employed to overcome the challenge of learning from imbalanced datasets. Many approaches to solving this challenge have been offered…
Fuzzy Win-Win: A Novel Approach to Quantify Win-Win Using Fuzzy Logic
Ahmad B. Hassanat, Ghada A. Altarawneh, Ahmad S. Tarawneh +2
The classic win-win has a key flaw in that it cannot offer the parties the right amounts of winning because each party believes they are winners. In reality, one party may win more…
A Pilot Study Exploring Spreadsheet Risk in Scientific Research
Ghada AlTarawneh, Simon Thorne
This paper discusses the risks and potential impacts of spreadsheet errors in scientific research data in a Neuroscience research centre in the UK. Spreadsheets usage in neuroscien…
Rule-and Dictionary-based Solution for Variations in Written Arabic Names in Social Networks, Big Data, Accounting Systems and Large Databases
Ahmad B. A. Hassanat, Ghada Awad Altarawneh
This paper investigates the problem that some Arabic names can be written in multiple ways. When someone searches for only one form of a name, neither exact nor approximate matchin…
On Enhancing The Performance Of Nearest Neighbour Classifiers Using Hassanat Distance Metric
Mouhammd Alkasassbeh, Ghada A. Altarawneh, Ahmad B. A. Hassanat
We showed in this work how the Hassanat distance metric enhances the performance of the nearest neighbour classifiers. The results demonstrate the superiority of this distance metr…
Solving the Problem of the K Parameter in the KNN Classifier Using an Ensemble Learning Approach
Ahmad Basheer Hassanat, Mohammad Ali Abbadi, Ghada Awad Altarawneh +1
This paper presents a new solution for choosing the K parameter in the k-nearest neighbor (KNN) algorithm, the solution depending on the idea of ensemble learning, in which a weak…