Žliobaitė, Indrė

A survey on concept drift adaptation

Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys

Data Stream Mining TechniquesDomain Adaptation and Few-Shot Learning

Cited by 3,735

Measuring discrimination in algorithmic decision making

Žliobaitė, I. (2017) · Data Mining and Knowledge Discovery

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 272

Why Unbiased Computational Processes Can Lead to Discriminative Decision Procedures

Calders, T., & Žliobaitė, I. (2013) · Studies in Applied Philosophy, Epistemology and Rational Ethics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 128

Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models

Žliobaitė, I., & Custers, B. (2016) · Artificial Intelligence and Law

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 125

Quantifying explainable discrimination and removing illegal discrimination in automated decision making

Kamiran, F., Žliobaitė, I., & Calders, T. (2013) · Knowledge and Information Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 99