Search Results for author: Nathalie Japkowicz

Found 5 papers, 1 papers with code

On the combined effect of class imbalance and concept complexity in deep learning

no code implementations29 Jul 2021 Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz

Structural concept complexity, class overlap, and data scarcity are some of the most important factors influencing the performance of classifiers under class imbalance conditions.

ReMix: Calibrated Resampling for Class Imbalance in Deep learning

no code implementations3 Dec 2020 Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz

Class imbalance is a problem of significant importance in applied deep learning where trained models are exploited for decision support and automated decisions in critical areas such as health and medicine, transportation, and finance.

imbalanced classification

Towards Ethical Content-Based Detection of Online Influence Campaigns

1 code implementation29 Aug 2019 Evan Crothers, Nathalie Japkowicz, Herna Viktor

The detection of clandestine efforts to influence users in online communities is a challenging problem with significant active development.

Native Language Identification

Contextual One-Class Classification in Data Streams

no code implementations9 Jul 2019 Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama

We conclude that the paradigm of contexts in data streams can be used to improve the performance of streaming one-class classifiers.

Classification General Classification +1

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