| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Automating semantic publishing
|
Dumontier, Michel
|
|
2017
|
1 |
1-2 |
p. 155-173
|
artikel
|
| 2 |
Conflict forecasting and its limits
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 7-17
|
artikel
|
| 3 |
Cross-disciplinary higher education of data science – beyond the computer science student
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 101-117
|
artikel
|
| 4 |
Data Science and symbolic AI: Synergies, challenges and opportunities
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 27-38
|
artikel
|
| 5 |
Data Science – Methods, infrastructure, and applications
|
Dumontier, Michel
|
|
2017
|
1 |
1-2 |
p. 1-5
|
artikel
|
| 6 |
Genuine semantic publishing
|
Peroni, Silvio
|
|
2017
|
1 |
1-2 |
p. 139-154
|
artikel
|
| 7 |
Knowledge-based biomedical Data Science
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 19-25
|
artikel
|
| 8 |
Maintaining intellectual diversity in data science
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 85-94
|
artikel
|
| 9 |
Stream reasoning: A survey and outlook
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 59-83
|
artikel
|
| 10 |
The integration of the data scientist into the team: Implications and challenges
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 95-100
|
artikel
|
| 11 |
The knowledge graph as the default data model for learning on heterogeneous knowledge
|
Dumontier, Michel
|
|
2017
|
1 |
1-2 |
p. 39-57
|
artikel
|
| 12 |
Thoughtful artificial intelligence: Forging a new partnership for data science and scientific discovery
|
Dumontier, Michel
|
|
2017
|
1 |
1-2 |
p. 119-129
|
artikel
|
| 13 |
Valorizing omics visualization for discovery
|
Kuhn, Tobias
|
|
2017
|
1 |
1-2 |
p. 131-137
|
artikel
|
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