1 to 9 of 9 Results
Mar 13, 2024 - Optlab
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". |
Dec 18, 2023 - Optlab
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. |
Dec 12, 2023 - Aladdin
Bellettini, Carlo; Lonati, Violetta; Monga, Mattia; Morpurgo, Anna, 2023, "Replication Data for: To be or not to be... an algorithm: the notion according to students and teachers", https://doi.org/10.13130/RD_UNIMI/JM0R05, UNIMI Dataverse, V1
Quasi-algorithms used in the workshop described in the paper. |
Sep 27, 2023 - Optlab
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. |
Sep 26, 2023 - SESAR Lab Dataverse
Bena, Nicola; Anisetti, Marco; Ardagna, Claudio A., 2023, "Replication data for "Continuous Certification of Non-Functional Properties Across System Changes"", https://doi.org/10.13130/RD_UNIMI/9WXZRC, UNIMI Dataverse, V1, UNF:6:skcrQd9Kj8iIZ32YxcB9IA== [fileUNF]
Dataset for the evaluation of continuous certification techniques, generated starting from three real-world distributed systems in literature. The dataset contains the starting-point datasets of the three distributed systems, the code used to generate the certification dataset, a... |
Sep 14, 2023 - COVIDSQUARED Project
Rivolta, Massimo Walter; Sassi, Roberto; Garcia-Isla, Guadalupe; Corino, Valentina; Sanzo, Antonio; Vicentini, Alessandro; Badilini, Fabio; Mainardi, Luca, 2023, "Replication Data for 'A CNN for COVID-19 Detection using ECG signals'", https://doi.org/10.13130/RD_UNIMI/U3WU1R, UNIMI Dataverse, V3, UNF:6:JLEwohax74rNCbObixJimw== [fileUNF]
This dataset contains the electrocardiograms (ECGs) collected for the Covidsquared Project. The objectives of Covidsquared were: 1) to develop automatic computational methods for the extraction of COVID-related ECG biomarkers and to estimate the risk of fatal arrhythmic events in... |
Jun 25, 2023 - SESAR Lab Dataverse
Bena, Nicola; Anisetti, Marco; Ardagna, Claudio A.; Gianini, Gabriele; Giandomenico, Vincenzo, 2023, "Replication data for "Lightweight Behavior-Based Malware Detection"", https://doi.org/10.13130/RD_UNIMI/LJ6Z8V, UNIMI Dataverse, V1, UNF:6:gNkJHbDoD/ZtP/ywfunzlQ== [fileUNF]
Dataset containing real-world and synthetic samples on legit and malware samples in the form of time series. The samples consider machine-level performance metrics: CPU usage, RAM usage, number of bytes read and written from and to disk and network. Synthetic samples are generate... |
May 22, 2023 - EveryWare Lab
Arrotta, Luca; Civitarese, Gabriele; Presotto, Riccardo; Bettini, Claudio, 2023, "Replication data for "DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices"", https://doi.org/10.13130/RD_UNIMI/QECFKA, UNIMI Dataverse, V3, UNF:6:8R1X/azmineaG126qcbVEA== [fileUNF]
DOMINO is a public dataset for context-aware HAR that includes 25 users (wearing a smartphone and a smartwatch) performing 14 activities. During data acquisition, the mobile devices recorded both inertial and high-level context data while our team monitored the quality of the sel... |
Feb 3, 2023 - Optlab
Bianchessi, Nicola, 2023, "Replication data for " On optimally solving sub-tree scheduling for wireless sensor networks with partial coverage: A branch-and-cut algorithm"", https://doi.org/10.13130/RD_UNIMI/IHTWC0, UNIMI Dataverse, V1, UNF:6:o+N3y3vWczdEhAUSUSFb7g== [fileUNF]
This dataset contains new benchmark instances for the optimization problem introduced by Adasme (2019) under the name Sub-Tree Scheduling for Wireless Sensor Networks with Partial Coverage (STSWSN-PC). The instances are those addressed in Bianchessi (2022), in which a complete de... |