RadViz contributes to multidimensional analysis by using 2D points for encoding data elements and allowing for interpreting them along the original data dimensions. For these characteristics it is used in different application domains, like clustering, anomaly detection, and software visualization...
01a Articolo in rivista
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In the last few years, a large variety of approaches and methodologies have been explored in the context of software testing, ranging from black-box techniques, such as fuzzing, to white-box techniques, such as concolic execution, with a full spectrum of instances in between. Using these techniques...
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Disease gene prediction is to date one of the main computational challenges of precision medicine. It is still uncertain if disease genes have unique functional properties that distinguish them from other non-disease genes or, from a network perspective, if they are located randomly in the...
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We study fair center based clustering problems. In an influential paper, Chierichetti, Kumar, Lattanzi and Vassilvitskii (NIPS 2017) consider the problem of finding a good clustering, say of women and men, such that every cluster contains an equal number of women and men. They were able to obtain a...
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This article develops a comparative institutionalist framework to investigate how pro-enforcement reforms leading to a change in competition policy regimes attracts FDI in host countries, and how this relationship is moderated by the interplay between key formal and informal institutions. We...
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