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David Martins de Matos

INESC-ID, Instituto Superior Técnico, Universidade de Lisboa

26 papers hereh-index 17920 citations116 works total

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

author position
  • middle author14
  • last author12

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.IR6
  • cs.CV2
  • cs.AI1
  • cs.DS1
  • cs.LG1
affiliations
  • INESC-ID, Instituto Superior Técnico, Universidade de Lisboa
Homepage
same name
  • David Martins de Matos — 10 papers
  • David Martins de Matos — 2 papers, h 1
  • David Martins de Matos — 2 papers, h 2
  • David Martins de Matos — 1 paper, h 1
  • David Martins de Matos — 1 paper, h 1

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
20112022
most citedCentrality-as-Relevance: Support Sets and Similarity as Geometric Proximity

27 citations · 146 across the 25 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

cs.CL2016★ 2 cited

Mapping the Dialog Act Annotations of the LEGO Corpus into the Communicative Functions of ISO 24617-2

Eugénio Ribeiro, Ricardo Ribeiro, David Martins de Matos

In this paper we present strategies for mapping the dialog act annotations of the LEGO corpus into the communicative functions of the ISO 24617-2 standard. Using these strategies,…

cs.IR2016★ 1 cited

An Information-theoretic Approach to Machine-oriented Music Summarization

Francisco Raposo, David Martins de Matos, Ricardo Ribeiro

Music summarization allows for higher efficiency in processing, storage, and sharing of datasets. Machine-oriented approaches, being agnostic to human consumption, optimize these a…

cs.LG2016★ 3 cited

Fast and Extensible Online Multivariate Kernel Density Estimation

Jaime Ferreira, David Martins de Matos, Ricardo Ribeiro

We present xokde++, a state-of-the-art online kernel density estimation approach that maintains Gaussian mixture models input data streams. The approach follows state-of-the-art wo…

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