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Mark D. Plumbley

King's College London

113 papers hereh-index 6718.7k citations497 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author42
  • last author70

Across the 112 of 113 papers where every author was matched, so the position is known.

fields
  • cs.SD63
  • eess.AS38
  • cs.CV2
  • cs.LG2
  • eess.SP2
  • cs.AI1
affiliations
  • King's College London
Homepage
same name
  • Mark D. Plumbley — 26 papers, h 4
  • Mark D. Plumbley — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102024
most citedBest Practices for Scientific Computing

754 citations · 3.2k across the 112 of their papers we have counts for

collaborators
Showing 2012Show all

4 papers · 1 filter

cs.AI2012★ 22 cited

Segregating event streams and noise with a Markov renewal process model

Dan Stowell, Mark D. Plumbley

We describe an inference task in which a set of timestamped event observations must be clustered into an unknown number of temporal sequences with independent and varying rates of…

cs.MS2012★ 754 cited

Best Practices for Scientific Computing

Greg Wilson, D. A. Aruliah, C. Titus Brown +10

Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of to…

stat.ML2012

Predictive Information Rate in Discrete-time Gaussian Processes

Samer A. Abdallah, Mark D. Plumbley

We derive expressions for the predicitive information rate (PIR) for the class of autoregressive Gaussian processes AR(N), both in terms of the prediction coefficients and in terms…

cs.IT2012★ 12 cited

Analysis-based sparse reconstruction with synthesis-based solvers

Nicolae Cleju, Maria G. Jafari, Mark D. Plumbley

Analysis based reconstruction has recently been introduced as an alternative to the well-known synthesis sparsity model used in a variety of signal processing areas. In this paper…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.