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pro vyhledávání: '"Piccialli A"'
In order to increase rail freight transportation in Italy, Rete Ferroviaria Italiana (RFI) the Italian railway infrastructure manager, is carrying out several investment plans to enhance the Transshipment Yards, that act as an interface between the r
Externí odkaz:
http://arxiv.org/abs/2410.02968
The development of AI applications, especially in large-scale wireless networks, is growing exponentially, alongside the size and complexity of the architectures used. Particularly, machine learning is acknowledged as one of today's most energy-inten
Externí odkaz:
http://arxiv.org/abs/2409.12626
Publikováno v:
Mathematical Programming, 2024
Support vector machines (SVMs) are well-studied supervised learning models for binary classification. In many applications, large amounts of samples can be cheaply and easily obtained. What is often a costly and error-prone process is to manually lab
Externí odkaz:
http://arxiv.org/abs/2312.09789
Autor:
Virgilio Romanelli, Daniela Annunziata, Carmen Cerchia, Donato Cerciello, Francesco Piccialli, Antonio Lavecchia
Publikováno v:
ACS Omega, Vol 9, Iss 43, Pp 43963-43976 (2024)
Externí odkaz:
https://doaj.org/article/463e8899d3444dd9a284529054e41cbe
Financial distress of municipalities, although comparable to bankruptcy of private companies, has a far more serious impact on the well-being of communities. For this reason, it is essential to detect deficits as soon as possible. Predicting financia
Externí odkaz:
http://arxiv.org/abs/2302.05780
Autor:
Rodriguez-Fernandez, Victor, Montalvo, David, Piccialli, Francesco, Nalepa, Grzegorz J., Camacho, David
Publikováno v:
Knowledge-Based Systems, 277, 2023, p.110793
The field of Deep Visual Analytics (DVA) has recently arisen from the idea of developing Visual Interactive Systems supported by deep learning, in order to provide them with large-scale data processing capabilities and to unify their implementation a
Externí odkaz:
http://arxiv.org/abs/2302.03858
Publikováno v:
European Journal of Operational Research, 2023
Counterfactual Explanations are becoming a de-facto standard in post-hoc interpretable machine learning. For a given classifier and an instance classified in an undesired class, its counterfactual explanation corresponds to small perturbations of tha
Externí odkaz:
http://arxiv.org/abs/2211.09894
Publikováno v:
Mathematical Programming Computation, 2024
In this paper, we propose a branch-and-bound algorithm for solving nonconvex quadratic programming problems with box constraints (BoxQP). Our approach combines existing tools, such as semidefinite programming (SDP) bounds strengthened through valid i
Externí odkaz:
http://arxiv.org/abs/2211.08911
Publikováno v:
Mathematical Programming, 2023
The minimum sum-of-squares clustering (MSSC), or k-means type clustering, has been recently extended to exploit prior knowledge on the cardinality of each cluster. Such knowledge is used to increase performance as well as solution quality. In this pa
Externí odkaz:
http://arxiv.org/abs/2209.08901
Autor:
Falanga, Andrea Patrizia, Greco, Francesca, Terracciano, Monica, D’Errico, Stefano, Marzano, Maria, Feola, Sara, Sepe, Valentina, Fontana, Flavia, Piccialli, Ilaria, Cerullo, Vincenzo, Santos, Hélder A., Borbone, Nicola
Publikováno v:
In International Journal of Pharmaceutics 5 January 2025 668