Molecular property prediction is a fundamental task in the field of drug discovery. Several works use graph neural networks to leverage molecular graph representations. Although they have been successfully applied in a variety of applications, their decision process is not transparent. In this work...
01a Articolo in rivista
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The paper proposes a data-driven strategy for predicting technical ticket reopening in the context of customer service for telecommunications companies providing 5G fiber optic networks. Namely, the main aim is to ensure that, between end user and service provider, the Service Level Agreement in...
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Decisions -- whether made by individuals or groups -- often involve estimating quantities, a process that is subject to anchoring bias (Tversky and Kahneman, 1974). Differences in susceptibility to anchoring bias between individuals and groups have been recently explored with the result that...
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This study proposes an innovative multi-layer attack model for cybersecurity that integrates human, access, and network layers. In particular, it focuses on the human layer which has been recently recognized as a still open issue. Drawing on literature, human factors (HFs) that contribute to cyber...
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Background: Electroencephalography (EEG)-based brain-computer interfaces (BCIs) allow to modulate the sensorimotor rhythms and are emerging technologies for promoting post-stroke motor function recovery. The Promotoer study aims to assess the short and long-term efficacy of the Promotoer system, an...
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Background: Traumatic cervical spinal cord injury (SCI) results in reduced sensorimotor abilities that strongly impact on the achievement of daily living activities involving hand/arm function. Among several technology-based rehabilitative approaches, Brain-Computer Interfaces (BCIs) which enable...
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In this paper we show how the problem of containment on arbitrary output trajectories for a group of linear systems connected by a digraph can be analyzed and solved based on topological results on multi-consensus concerning the network structure. Specifically, we apply this approach to the case of...
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A Model Predictive Control Algorithm for the Reconfiguration of Radially Operated Grids with IslandsAbstract This paper proposes a reconfiguration algorithm for electricity grids, based on Model Predictive Control (MPC). Reconfiguration is dynamically performed to reduce losses, and in reaction to adverse events, such as faults or attacks. Most of the previous works in the literature (including a...
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We present a device-centric analysis of security and privacy attacks and defenses on extended reality (XR) devices. We present future research directions and propose design considerations to help ensure the security and privacy of XR devices.
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Cryptocurrencies are a novel phenomenon in the finance world that is gaining more attention from the general public, banks, investors, and academic research lately. A characteristic of cryptocurrencies is to be the target of investments that, due to the volatility of most of the cryptocurrencies,...