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Dipartimento di Informatica "Giovanni degli Antoni" (Università degli Studi di Milano)
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1 to 10 of 12 Results
Jul 18, 2022 - Aladdin
Bellettini, Carlo; Lonati, Violetta; Monga, Mattia; Morpurgo, Anna, 2022, "Replication Data for: How is two better than one? An observational study on the impact of working in pairs when solving Bebras tasks", https://doi.org/10.13130/RD_UNIMI/WT9NHU, UNIMI Dataverse, V1, UNF:6:DgRU9vAg3nnxxYil+n5P7A== [fileUNF]
Answers given to the Italian Bebras tasks, collected during the challenge held on November 2021.
Aladdin(Università degli Studi di Milano)
Jul 16, 2022
ALaDDIn - Laboratorio di Divulgazione e Didattica dell'Informatica.
Jun 7, 2022 - Optlab
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...
DamianiML(Università degli Studi di Milano)
May 20, 2022
Apr 15, 2022 - Optlab
PREMOLI, MARCO LUIGI; Alberto Ceselli; Marco Fiore; Stefano Secci, 2022, "Replication Data for: Optimized Assignment Patterns in Mobile Edge Cloud Networks", https://doi.org/10.13130/RD_UNIMI/X3VG12, UNIMI Dataverse, V1
Replication data for "Optimized assignment patterns in Mobile Edge Cloud networks." Computers & Operations Research 106 (2019): 246-259. The full description of the dataset is given in the README file.
Jan 11, 2022 - Optlab
Ceselli, Alberto; Casazza, Marco, 2022, "Maximum Lifetime Data Gathering Tree in Wireless Sensors Networks - Dataset", https://doi.org/10.13130/RD_UNIMI/VHW2QV, UNIMI Dataverse, V1, UNF:6:U/L+h6e36wYpccCRTD5/Rg== [fileUNF]
Dataset of instances used in the paper "Exact algorithms for Maximum Lifetime Data Gathering Tree in Wireless Sensors Networks". The repository contains two folders (CCD and ZTD) corresponding to the instances used in the paper. Their full description is given in two README files...
Sep 23, 2021 - EveryWare Lab
Arrotta, Luca; Civitarese, Gabriele; Bettini, Claudio, 2021, "The MARBLE dataset: Multi-Inhabitant Activities of Daily Living combining Wearable and Environmental Sensors Data", https://doi.org/10.13130/RD_UNIMI/VGLD0Y, UNIMI Dataverse, V1
MARBLE is a multi-inhabitant activities of daily living (ADLs) dataset that combines both smart-watch and environmental sensors data. MARBLE includes sixteen hours of ADLs considering scripted but realistic scenarios where up to four subjects live in the same home environment
EveryWare Lab(Università degli Studi di Milano)
Sep 23, 2021
Jul 27, 2021 - Optlab
Ceselli, Alberto; Létocart, Lucas; Traversi, Emiliano, 2021, "Binary Quadratic Problem decomposition methods - kQKP dataset", https://doi.org/10.13130/RD_UNIMI/3QA23K, UNIMI Dataverse, V1
The dataset contains instances for the cardinality constrained quadratic knapsack problem. These are used to test decomposition methods for Binary Quadratic Programs. Full details are given in the corresponding paper "Dantzig-Wolfe Reformulations for Binary Quadratic Problems "....
Feb 17, 2021 - Optlab
BEZZI, DARIO, 2021, "Electric Vehicle Routing Problem with Multiple Recharge Technologies (EVRP-MRT) Dataset", https://doi.org/10.13130/RD_UNIMI/JEA5XX, UNIMI Dataverse, V1
In this repository, the benchmark dataset for the Electric Vehicle Routing Problem with Multiple Recharge Technologies is introduced (EVRP-MRT). The whole benchmark is composed by 66 instances comprised by 5 to 30 customers and 3 to 9 recharge stations. All instances are solved t...
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