Search Results for author: Mohammed Temraz

Found 3 papers, 1 papers with code

Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation

1 code implementation5 Nov 2021 Mohammed Temraz, Mark T. Keane

The experiments also show that CFA is competitive with many other oversampling methods many of which are variants of SMOTE.

counterfactual Data Augmentation

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation

no code implementations29 Apr 2021 Mark T Keane, Eoin M Kenny, Mohammed Temraz, Derek Greene, Barry Smyth

Recently, it has been proposed that fruitful synergies may exist between Deep Learning (DL) and Case Based Reasoning (CBR); that there are insights to be gained by applying CBR ideas to problems in DL (what could be called DeepCBR).

counterfactual Data Augmentation +2

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