17 citations · 34 across the 8 of their papers we have counts for
4 papers · 1 filter
Imbalanced data preprocessing techniques utilizing local data characteristics
Michał Koziarski
Data imbalance, that is the disproportion between the number of training observations coming from different classes, remains one of the most significant challenges affecting contem…
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification
Michał Koziarski, Colin Bellinger, Michał Woźniak
Real-world classification domains, such as medicine, health and safety, and finance, often exhibit imbalanced class priors and have asynchronous misclassification costs. In such ca…
DiagSet: a dataset for prostate cancer histopathological image classification
Michał Koziarski, Bogusław Cyganek, Przemysław Niedziela +8
Cancer diseases constitute one of the most significant societal challenges. In this paper, we introduce a novel histopathological dataset for prostate cancer detection. The propose…
Potential Anchoring for imbalanced data classification
Michał Koziarski
Data imbalance remains one of the factors negatively affecting the performance of contemporary machine learning algorithms. One of the most common approaches to reducing the negati…