This paper is devoted to the analysis of worst case complexity bounds for linesearch-type derivative-free algorithms for the minimization of general non-convex smooth functions. We consider a derivative-free algorithm based on a linesearch extrapolation technique. First we prove that it enjoys the...
01a Articolo in rivista
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In the ever-evolving banking landscape, effectively addressing sustainability concerns while meeting customer expectations is essential. This study introduces an innovative Corporate Social Responsibility (CSR) Feedback Framework designed to align the banks' sustainability strategies with customer...
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Although numerous scientific studies have extensively analyzed religion's impact on environmental performance at the firm level, the literature on environmental effects at a country level is relatively poor. This paper aims to fill this gap by studying how the dimensions of national culture,...
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In the context of healthcare, an AI solution is generally developed for a specific analysis task, based on a relevant dataset, with little attention to reusability and generalizability of its data preparation step. This paper focuses on a different scenario, which can be called context-oriented,...
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In this paper we study Controlled Query Evaluation (CQE), a declarative approach to privacy-preserving query answering over databases, knowledge bases, and ontologies. CQE is based on the notion of censor, which defines the answers to each query posed to the data/knowledge base. We investigate both...
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Sequential Recommender Systems (SRSs) have emerged as a highly efficient approach to recommendation systems. By leveraging sequential data, SRSs can identify temporal patterns in user behaviour, significantly improving recommendation accuracy and relevance. Ensuring the reproducibility of these...
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In the context of deep learning models, attention has recently been paid to studying the surface of the loss function in order to better understand training with methods based on gradient descent. This search for an appropriate description, both analytical and topological, has led to numerous...
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—Algorithmic recourses are popular methods to provide individuals impacted by machine learning models with recommendations on feasible actions for a more favourable prediction. Most of the previous algorithmic recourse methods work under the assumption that the predictive model does not change over...
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Waste management is crucial for advancing the circular economy, and Italy has begun to address this issue by organizing municipalities into collaborative communities of municipalities, named ATOs. In this paper, we propose a quantitative approach based on conditional efficiency analysis to estimate...
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The increasing availability of longitudinal data (repeated numerical observations of the same units at different times) requires the development of flexible techniques to automatically detect errors in such data. Besides standard types of errors, which can be treated with generic error correction...