Automated Author ProfileFontana, Marco
University of Milan0009-0002-2482-3493
Fontana, Marco
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.4 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Supplementary research data to the paper (under review):Marco Fontana, Davide Fantini, Giorgio Presti, Marco Tiraboschi, and Federico Avanzini. A Low-Dimensional Projection of Sound Absorption Coefficients for a Scattering Delay Network Reverberator. Submitted to the Journal of the Audio Engineering Society. December 2024.The repository provides additional research data for the paper. In particular, the repository includes:README.md: instructions for the data2d_parameter_space.rar: additional data for the proposed 2D parameter space (2PS) obtained by the dimensionality reduction of an absorption coefficients dataset.reverb_matching.rar: detailed results of the reverb matching method for the estimation of absorption coefficients. These results include the comparison between the target and estimated absorption coefficients and the generated SRIRs.usability_test.rar: additional data for the usability test, including the target sets of absorption coefficients and the questionnaires submitted to the users.The paper builds upon an implementation of a Scattering Delay Network (SDN), which is available here.
Authors
- Fontana, Marco ;
- Fantini, Davide ;
- Presti, Giorgio ;
- Tiraboschi, Marco ;
- Avanzini, Federico
Supplementary research data to the paper (under review):Marco Fontana, Davide Fantini, Giorgio Presti, Marco Tiraboschi, and Federico Avanzini. A Low-Dimensional Projection of Sound Absorption Coefficients for a Scattering Delay Network Reverberator. Submitted to the Journal of the Audio Engineering Society. December 2024.The repository provides additional research data for the paper. In particular, the repository includes:README.md: instructions for the data2d_parameter_space.rar: additional data for the proposed 2D parameter space (2PS) obtained by the dimensionality reduction of an absorption coefficients dataset.reverb_matching.rar: detailed results of the reverb matching method for the estimation of absorption coefficients. These results include the comparison between the target and estimated absorption coefficients and the generated SRIRs.usability_test.rar: additional data for the usability test, including the target sets of absorption coefficients and the questionnaires submitted to the users.The paper builds upon an implementation of a Scattering Delay Network (SDN), which is available here.
Authors
- Fontana, Marco ;
- Fantini, Davide ;
- Presti, Giorgio ;
- Tiraboschi, Marco ;
- Avanzini, Federico
Supplementary research data to the paper (under review):Marco Fontana, Davide Fantini, Giorgio Presti, Marco Tiraboschi, and Federico Avanzini. A Low-Dimensional Projection of Sound Absorption Coefficients for a Scattering Delay Network Reverberator. Submitted to the Journal of the Audio Engineering Society. December 2024.The repository provides additional research data for the paper. In particular, the repository includes:README.md: instructions for the data2d_parameter_space.rar: additional data for the proposed 2D parameter space (2PS) obtained by the dimensionality reduction of an absorption coefficients dataset.reverb_matching.rar: detailed results of the reverb matching method for the estimation of absorption coefficients. These results include the comparison between the target and estimated absorption coefficients, the generated SRIRs, and the corresponding acoustic features.usability_test.rar: additional data for the usability test, including the target sets of absorption coefficients and the questionnaires submitted to the users.The paper builds upon an implementation of a Scattering Delay Network (SDN), which is available here.
Authors
- Fontana, Marco ;
- Fantini, Davide ;
- Presti, Giorgio ;
- Tiraboschi, Marco ;
- Avanzini, Federico