Titlebook: ECML PKDD 2020 Workshops; Workshops of the Eur Irena Koprinska,Michael Kamp,Jon Atle Gulla Conference proceedings 2020 Springer Nature Swit

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Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networkse could be used to improve public health dramatically. To the growing AI in health industry, this data offers huge potential in generating markets for new technologies in healthcare. However, primary care data is extremely sensitive. It contains data on individuals that is of a highly personal natur

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Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.orgply of funds, banks would act as the conduit between the funds and the borrowers. It has now been possible to overcome some of the obstacles associated with such supply of funds with the advent of online platforms like Kiva, Prosper, LendingClub. Kiva, in particular, allows lenders to fund projects

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A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justthe community focuses on the issue of the social fairness of machine learning systems, we suggest that another relevant aspect of this debate concerns the political implications of the decision of using machine learning systems. Relying on the theory of Left realism, we argue that, from several poin

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Advocating for Multiple Defense Strategies Against Adversarial Examplesinst . adversarial examples and vice versa. In this paper we conduct a geometrical analysis that validates this observation. Then, we provide a number of empirical insights to illustrate the effect of this phenomenon in practice. Then, we review some of the existing defense mechanisms that attempt t