The online joint replenishment problem (JRP) is a fundamental problem in the area of online problems with delay. Over the last decade, several works have studied generalizations of JRP with different cost functions for servicing requests. Most prior works on JRP and its generalizations have focused...
04b Atto di convegno in volume
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Service compositions à la Roman model consist of realizing a virtual service by orchestrating suitably a set of already available services, where all services are described procedurally as (possibly nondeterministic) transition systems. In this paper, we study a goal-oriented variant of the service...
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Recent studies, based on Local Field Potentials and source activity reconstruction from electroencephalographic (EEG) signals, conducted in animals and healthy individuals reported a power increase in the frequency range of 3-5 Hz over the cortical motor areas that accompanies the preparatory phase...
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Brain networks represent one of the most fascinating biophysics contributions to modern medicine. Nowadays clinical practice largely benefits from network theory to characterize both physiological and pathological brain networks. However, to date the analysis of such systems still relies on classic...
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In this paper, we consider the issue of computing negative curvature directions, for nonconvex functions, within Newton-Krylov methods for large scale unconstrained optimization. This issue has been widely investigated in the literature, and different approaches have been proposed. We focus on the...
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Explainable AI seeks to unveil the intricacies of black box models through post-hoc strategies or self-interpretable models. In this paper, we tackle the problem of building layers that are intrinsically explainable through logical rules. In particular, we address current state-of-the-art methods'...
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Recent advances in protein-protein interaction (PPI) research have harnessed the power of artificial intelligence (AI) to enhance our understanding of protein behaviour. These approaches have become indispensable tools in the field of biology and medicine, enabling scientists to uncover hidden...
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Event Related Potentials (ERPs) are modifications of the brain activity in response to external sensory stimulation. P300 is a positive ERP component occurring 300 ms after the presentation of a rare stimulus and indicating the conscious perception of an unexpected change in sensory stimulation....
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We study the problem of efficiently computing the derivative of the fixed-point of a parametric nondifferentiable contraction map. This problem has wide applications in machine learning, including hyperparameter optimization, meta-learning and data poisoning attacks. We analyze two popular...
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Relation Extraction (RE) is at the core of many Natural Language Understanding tasks, including knowledge-base population and Question Answering. However, any Natural Language Processing system is exposed to biases, and the analysis of these has not received much attention in RE. We propose a new...