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Ethical concerns in the digital domain are growing with the extremely fast evolution of technology and the increasing scale at which software is deployed, potentially affecting our societies globally. It is crucial that engineers evaluate more systematical ...
Cerebrovascular reactivity (CVR), defined as the cerebral blood flow response to a vasoactive stimulus, is an imaging biomarker with demonstrated utility in a range of diseases and in typical development and aging processes. A robust and widely implemented ...
This paper introduces a new modeling and inference framework for multivariate and anisotropic point processes. Building on recent innovations in multivariate spatial statistics, we propose a new family of multivariate anisotropic random fields, and from th ...
Student accommodation became a problem only a century after the foundation of the first universities in Europe in the 12th century. At the very beginning students had to provide their own lodgings autonomously. In many university cities the situation prove ...
The project is situated at the entrance of the Sado Estuary, a crucial location for the defense of Lisbon and Setubal. This place witnessed military occupations at various historical periods. Faced with abandonment and destruction, the intervention focuses ...
Marshall Plan (1948-1952), introduced for postwar reconstruction in Europe, marks the Cold War economy-political and foreign policy of the US. Besides building the Western Bloc, its financial and technical assistance programs launched the self-help paradig ...
A large body of work shows that machine learning (ML) models can leak sensitive or confidential information about their training data. Recently, leakage due to distribution inference (or property inference) attacks is gaining attention. In this attack, the ...
In recent decades, industrial heritage has gained notoriety among the richness of heritage narratives. However, its promotion is primarily done by the production entities and business archives, and less attention is given to the significant contribution of ...
Systematic compositionality, or the ability to adapt to novel situations by creating a mental model of the world using reusable pieces of knowledge, remains a significant challenge in machine learning. While there has been considerable progress in the lang ...
If automatic document processing techniques have achieved a certain maturity for present time documents, the transformation of hand-written documents into well-represented, structured and connected data which can satisfactorily be used for historical study ...