Titlebook: ECML PKDD 2018 Workshops; Nemesis 2018, UrbRea Carlos Alzate,Anna Monreale,Mathieu Sinn Conference proceedings 2019 Springer Nature Switzer

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Fernanda Ferreira,Hossein Karimiexperiments with imagery from Mapillary crowdsourcing platform demonstrate that with increasing amount of images, the detection accuracy is getting close to that obtained with high-end street level data. Nevertheless, due to excessive camera position noise, the estimated geolocation (position) of th

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Lebendige Sonne, Ursprung des Lebens,stantial costs due to patient treatments. In addition, some recent studies have suggested that increasing the number of nurses in selected geographic areas could lead to the reduction of the rates of potentially avoidable hospitalizations in those areas. In the meantime, health authorities are highl

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Der egozentrische Selbstdarsteller,lic administration. The main contribution of the project is the development of a data science-based solution to systematically assist managing authorities to increase the effectiveness and efficiency when analysing fraud and corruption cases. The tool combines descriptive and predictive machine lear

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Strategische Allianzen und Akquisitionen,s an optimisation agent that could help in decision making. This paper describes the creation of an open-source simulation based on an existing Dutch liveability score with a built-in AI module. Features are selected using feature engineering and Random Forests. Then, a modified scoring function is

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W. G. Chace,M. A. Levine,C. V. Fishex, affect the bottom of the socio-economic pyramid, and have wider spread across populations and geographies with resource constraints. In this paper we identify challenges and propose certain design considerations to guide development of machine learning based data-driven applications for addressi

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Shipboard Sources of Magnetic Field,tudies how an adversary could corrupt the PC structure learning algorithm by inserting fake data. We propose a novel measure of strength of links for Bayesian networks. We show how this measure can be used to attack the PC algorithm. We identify two subclasses of data poisoning attacks: (1) model in

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Constraints on VLIW architectures,xistence of adversarial examples has raised suspicions regarding the generalization capabilities of neural networks. In this work, we focus on the weight matrix learned by the neural networks and hypothesize that an ill-conditioned weight matrix is one of the contributing factors in the neural netwo

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