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Author Name: Barbato, Michele

1 to 6 of 6 Results

Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms" Mar 13, 2024 Barbato, Michele; Luís Gouveia, 2023, "Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms"", https://doi.org/10.13130/RD_UNIMI/UDEATS, UNIMI Dataverse, V3 Dataset containing the experimental results of the research work "The Hamiltonian p-Median Problem: Polyhedral Results and Branch-and-Cut Algorithms".
Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations" Dec 18, 2023 Barbato, Michele; Bianchessi, Nicola, 2023, "Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"", https://doi.org/10.13130/RD_UNIMI/GD9OKQ, UNIMI Dataverse, V1 Instances and detailed experimental results of the research work entitled "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations". For additional information, please refer to the included readme file.
Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm Sep 27, 2023 Barbato, Michele; Ceselli, Alberto, 2023, "Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm", https://doi.org/10.13130/RD_UNIMI/LZA4F8, UNIMI Dataverse, V1, UNF:6:8qCKYGVl2js4qUPec4qIpg== [fileUNF] This dataset contains instances and computational results of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". See the included readme files for a description of the dataset content.
Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm" Jan 3, 2023 Barbato, Michele; Ceselli, Alberto, 2022, "Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/UA8PFI, UNIMI Dataverse, V3 Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Broad experimental campaign. Due to a new implementation, the reported results are outdated. The new results can be found on: https://doi.org/10.13130/RD_UNIMI/L...
Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm" Oct 26, 2022 Barbato, Michele; Ceselli, Alberto, 2022, "Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/1MZNNS, UNIMI Dataverse, V1, UNF:6:PWiIzt/vPLfrW/Rq52qghw== [fileUNF] Training and test instances used in the work "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Several new instances are available at the related datatset available here: https://doi.org/10.13130/RD_UNIMI/LZA4F8
COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data Jun 7, 2022 Premoli, Marco; Barbato, Michele; Ceselli, Alberto, 2021, "COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data", https://doi.org/10.13130/RD_UNIMI/WWUZIJ, UNIMI Dataverse, V3 This dataset contains realistic instances for the problem "hospital resource management" (HRM), corresponding to the first wave of COVID-19 in Spring 2020 in Lombardy Region (Italy). Refer to file 'SOURCES_FORMULAS_ASSUMPTIONS.pdf' for detailed information about data sources, for...

Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms"

Mar 13, 2024

Barbato, Michele; Luís Gouveia, 2023, "Replication data for "The Hamiltonian p-median Problem: Polyhedral Results and Branch-and-Cut Algorithms"", https://doi.org/10.13130/RD_UNIMI/UDEATS, UNIMI Dataverse, V3

Dataset containing the experimental results of the research work "The Hamiltonian p-Median Problem: Polyhedral Results and Branch-and-Cut Algorithms".

Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"

Dec 18, 2023

Barbato, Michele; Bianchessi, Nicola, 2023, "Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"", https://doi.org/10.13130/RD_UNIMI/GD9OKQ, UNIMI Dataverse, V1

Instances and detailed experimental results of the research work entitled "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations". For additional information, please refer to the included readme file.

Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm

Sep 27, 2023

Barbato, Michele; Ceselli, Alberto, 2023, "Instances and computational results of: Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm", https://doi.org/10.13130/RD_UNIMI/LZA4F8, UNIMI Dataverse, V1, UNF:6:8qCKYGVl2js4qUPec4qIpg== [fileUNF]

This dataset contains instances and computational results of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". See the included readme files for a description of the dataset content.

Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"

Jan 3, 2023

Barbato, Michele; Ceselli, Alberto, 2022, "Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/UA8PFI, UNIMI Dataverse, V3

Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Broad experimental campaign. Due to a new implementation, the reported results are outdated. The new results can be found on: https://doi.org/10.13130/RD_UNIMI/L...

Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"

Oct 26, 2022

Barbato, Michele; Ceselli, Alberto, 2022, "Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"", https://doi.org/10.13130/RD_UNIMI/1MZNNS, UNIMI Dataverse, V1, UNF:6:PWiIzt/vPLfrW/Rq52qghw== [fileUNF]

Training and test instances used in the work "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Several new instances are available at the related datatset available here: https://doi.org/10.13130/RD_UNIMI/LZA4F8

COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data

Jun 7, 2022

Premoli, Marco; Barbato, Michele; Ceselli, Alberto, 2021, "COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data", https://doi.org/10.13130/RD_UNIMI/WWUZIJ, UNIMI Dataverse, V3

This dataset contains realistic instances for the problem "hospital resource management" (HRM), corresponding to the first wave of COVID-19 in Spring 2020 in Lombardy Region (Italy). Refer to file 'SOURCES_FORMULAS_ASSUMPTIONS.pdf' for detailed information about data sources, for...

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