Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 31 Results
Lightweight Behavior-Based Malware Detection
Jun 25, 2023 - SESAR Lab Dataverse
Bena, Nicola; Anisetti, Marco; Ardagna, Claudio A.; Gianini, Gabriele; Giandomenico, Vincenzo, 2023, "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...
SESAR Lab Dataverse(University of Milan)
Jun 25, 2023Ernesto Damiani Dataverse
SESAR Lab Dataverse
Ernesto Damiani Dataverse(University of Milan)
Jun 12, 2023
Ernesto Damiani Dataverse
Replication data for "DOMINO: A Dataset for Context-Aware Human Activity Recognition using Mobile Devices"
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...
Replication data for " On optimally solving sub-tree scheduling for wireless sensor networks with partial coverage: A branch-and-cut algorithm"
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...
Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"
Jan 3, 2023 - Optlab
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: On good encodings for quantum annealing and digital optimization solvers: the cardinality constrained quadratic knapsack case
Dec 27, 2022 - Optlab
PREMOLI, MARCO LUIGI; Alberto Ceselli, 2022, "Replication Data for: On good encodings for quantum annealing and digital optimization solvers: the cardinality constrained quadratic knapsack case", https://doi.org/10.13130/RD_UNIMI/Y3GKUF, UNIMI Dataverse, V1
Replication Data for "On good encodings for quantum annealing and digital optimization solvers: the cardinality constrained quadratic knapsack case". Please refer to file "readme.pdf" for further information about the dataset.
Replication Data for: "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"
Oct 26, 2022 - Optlab
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
MIPLib Random Decompositions Dataset
Oct 12, 2022 - Optlab
Ceselli, Alberto; Basso, Saverio, 2022, "MIPLib Random Decompositions Dataset", https://doi.org/10.13130/RD_UNIMI/T99WYI, UNIMI Dataverse, V1
The dataset contains a set of about 31000 random decompositions of MIPLib instances, together with (a) an evaluation of a set of 121 features over them (b) bound and time scores, obtained through optimization runs. Their detailed structure is described in the paper: S. Basso, A....
Replication Data for: How is two better than one? An observational study on the impact of working in pairs when solving Bebras tasks
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.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.