Explainable Machine Learning for Science and Medicine
doctoral thesis by Scott M Lundberg, Computer Science & Engineering, University of Washington, 2019
Press Enter · cited answer in seconds
0 sources
Explainable Machine Learning for Science and Medicine
Summary
Explainable Machine Learning for Science and Medicine is a doctoral thesis[1].
Key Facts
- Explainable Machine Learning for Science and Medicine authored Scott M Lundberg[2].
- Explainable Machine Learning for Science and Medicine's instance of is recorded as doctoral thesis[3].
- Explainable Machine Learning for Science and Medicine's OCLC number is recorded as 1128883353[4].
- Explainable Machine Learning for Science and Medicine's language of work or name is recorded as English[5].
- +2019-00-00T00:00:00Z marks the founding of Explainable Machine Learning for Science and Medicine[6].
- Explainable Machine Learning for Science and Medicine's work available at URL is recorded as http://hdl.handle.net/1773/44773[7].
- Explainable Machine Learning for Science and Medicine's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+168'}[8].
- Explainable Machine Learning for Science and Medicine's Handle ID is recorded as 1773/44773[9].
- Explainable Machine Learning for Science and Medicine's title is recorded as Explainable Machine Learning for Science and Medicine[10].
- Explainable Machine Learning for Science and Medicine's thesis submitted to is recorded as University of Washington[11].
- Explainable Machine Learning for Science and Medicine's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[12].
- Explainable Machine Learning for Science and Medicine's thesis committee member is recorded as Su-In Lee[13].
Body
Designation and Status
Explainable Machine Learning for Science and Medicine's instance of is recorded as doctoral thesis[3].
History and Context
+2019-00-00T00:00:00Z marks the founding of Explainable Machine Learning for Science and Medicine[6].