Search Results - "Galvan, Giulio"
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A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints
Published in Computational optimization and applications (01-09-2021)“…In the present paper we propose to rewrite a nonsmooth problem subjected to convex constraints as an unconstrained problem. We show that this novel formulation…”
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Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models
Published in PloS one (04-12-2018)“…Limited evidences are available on biomarkers to recognize Systemic Lupus erythematosus (SLE) patients at risk to develop erosive arthritis. Anti-citrullinated…”
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Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models
Published in PloS one (22-03-2017)“…The increased survival in Systemic Lupus Erythematosus (SLE) patients implies the development of chronic damage, occurring in up to 50% of cases. Its…”
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Correction: Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models
Published in PloS one (30-01-2019)“…[This corrects the article DOI: 10.1371/journal.pone.0207926.]…”
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Assessing the vulnerability of infrastructure networks based on distribution measures
Published in Reliability engineering & system safety (01-04-2020)“…•A distributional metric for infrastructure vulnerability is proposed.•Its effectiveness is illustrated through power, transport and water supply…”
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On the convergence of inexact augmented Lagrangian methods for problems with convex constraints
Published in Operations research letters (01-05-2019)“…We consider the augmented Lagrangian method (ALM) for constrained optimization problems in the presence of convex inequality and convex abstract constraints…”
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7
Community Detection in Action: Identification of Critical Elements in Infrastructure Networks
Published in Journal of infrastructure systems (01-03-2018)“…AbstractModern infrastructure systems form complex networks that are organized hierarchically in communities of tightly integrated elements. This paper…”
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A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization
Published in IEEE transaction on neural networks and learning systems (27-10-2023)“…Batch normalization is an essential component of all state-of-the-art neural networks architectures. However, since it introduces many practical issues, much…”
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Modeling cancer drug response through drug-specific informative genes
Published in Scientific reports (23-10-2019)“…Recent advances in pharmacogenomics have generated a wealth of data of different types whose analysis have helped in the identification of signatures of…”
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A Robust Initialization of Residual Blocks for Effective ResNet Training without Batch Normalization
Published 12-10-2022“…Batch Normalization is an essential component of all state-of-the-art neural networks architectures. However, since it introduces many practical issues, much…”
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