Mark D. Plumbley
researcher
Facts
7 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Queen Mary University of London (2002–2014), King's College London (1991–2001), University of Surrey (2015–present)[2][3][4]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[7]
🏷️ Also known as
en Mark D. Plumbley
en Mark Plumbley
🔖 Identifiers · 15
- ORCID iD
- 0000-0002-9708-1075
- VIAF cluster ID
- 305916811
- GND ID
- 1045513733
- OpenAlex ID
- A5066967599, A5130613300, A5130658732, A5137577074as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81100441853
- DBLP author ID
- 84/1168
- Deutsche Biographie (GND) ID
- 1045513733
- Gateway to Research person ID
- DB9B029E-6575-4ABC-A08F-ED21A698645B
- Google Knowledge Graph ID
- /g/11f332xhs5
- Google Scholar author ID
- 28TCymYAAAAJ
- IdRef ID
- 11411725X
- ResearcherID
- A-7298-2008
Show all 15 identifiers +3
- Scopus author ID
- 6603774794
- WorldCat Entities ID
- E39PBJvmQ4m7466TXQHDxdRxjC
- ZbMATH author ID
- plumbley.mark-d
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 58
Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience,
Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement,
Acoustic Scene Classification: Classifying environments from the sounds they produce,
Acoustic Scene Generation with Conditional Samplernn,
A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments,
A joint detection-classification model for audio tagging of weakly labelled data,
A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data,
Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning
+50 more
← Authored by 58
Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience,
Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement,
Acoustic Scene Classification: Classifying environments from the sounds they produce,
Acoustic Scene Generation with Conditional Samplernn,
A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments,
A joint detection-classification model for audio tagging of weakly labelled data,
A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data,
Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning
+50 more
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Summary
Mark D. Plumbley worked as a researcher[1].
Body
Career and Affiliations
Employers include Queen Mary University of London[2], a public research university[8], in United Kingdom[9], founded in 1882[10], headquartered in London[11]; King's College London[3], a public research university[12], in United Kingdom[13], founded in 1829[14], headquartered in London[15]; and University of Surrey[4], a public research university[16], in United Kingdom[17], founded in 1966[18].
FAQs
What did Mark D. Plumbley do for work?
Mark D. Plumbley worked as researcher[1].