Michael Fromm
Biographic Data
| ID | 1542610 |
|---|---|
| NAME | Michael Fromm |
| GIVEN NAMES | Michael |
| FAMILY NAME | Fromm |
| SIGNATURE | FROMM M |
| AFFILIATIONS | United States Naval Research Laboratory |
| ORCID | 0000-0002-7244-4191 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Using supervised learning to classify metadata of research data by field of study
Many interesting use cases of research data classifiers presuppose that a research data item can be mapped to more than one field of study, but for such classification mechanisms, reproducible evaluations are lacking. This paper closes this gap: It describes the creation of a training and evaluation set comprised of labeled metadata, evaluates several supervised classification approaches, and comments on their application in scientometric researc…
Satellite versus ground-based estimates of burned area
North American wildfire management teams routinely assess burned area on site during firefighting campaigns; meanwhile, satellite observations provide systematic and global burned-area data. Here we compare satellite and ground-based daily burned area for wildfire events for selected large fires across North America in 2007 on daily timescales. In a sample of 26 fires across North America, we found the Global Fire Emissions Database Version 4 (GF…
Überbetriebliche Vernetzung Im Handel
Überbetriebliche Vernetzung im Handel
Überbetriebliche Vernetzung Im Handel
No prominent works on this page.
Überbetriebliche Vernetzung im Handel
Überbetriebliche Vernetzung Im Handel
Überbetriebliche Vernetzung Im Handel
Satellite versus ground-based estimates of burned area
North American wildfire management teams routinely assess burned area on site during firefighting campaigns; meanwhile, satellite observations provide systematic and global burned-area data. Here we compare satellite and ground-based daily burned area for wildfire events for selected large fires across North America in 2007 on daily timescales. In a sample of 26 fires across North America, we found the Global Fire Emissions Database Version 4 (GF…
Using supervised learning to classify metadata of research data by field of study
Many interesting use cases of research data classifiers presuppose that a research data item can be mapped to more than one field of study, but for such classification mechanisms, reproducible evaluations are lacking. This paper closes this gap: It describes the creation of a training and evaluation set comprised of labeled metadata, evaluates several supervised classification approaches, and comments on their application in scientometric researc…
Corporate Governance and Management (2 works) · Digital Innovation in Industries (2 works) · Diverse Legal and Medical Studies (2 works) · Political science (2 works) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Atmospheric and Environmental Gas Dynamics (1 work) · Atmospheric chemistry and aerosols (1 work) · Climatology (1 work)