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Mauricio Barahona

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with M. Tarik Altuncu

> Home > Persons > Mauricio Barahona

Publications

2020
[c10]
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  - conf/complexnetworks/AltuncuYB20
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  - https://dblp.org/rec/conf/complexnetworks/AltuncuYB20
M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles. COMPLEX NETWORKS (2) 2020: 154-166
[i34]
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  - journals/corr/abs-2010-15067
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M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles. CoRR abs/2010.15067 (2020)
2019
[j20]
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  - journals/ans/AltuncuMYB19
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M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From free text to clusters of content in health records: an unsupervised graph partitioning approach. Appl. Netw. Sci. 4(1): 2:1-2:23 (2019)
[i29]
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  dblp key:
  - journals/corr/abs-1909-00183
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M. Tarik Altuncu, Eloise Sorin, Joshua D. Symons, Erik Mayer, Sophia N. Yaliraki, Francesca Toni, Mauricio Barahona:
Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records. CoRR abs/1909.00183 (2019)
2018
[i24]
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  - journals/corr/abs-1807-02599
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M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology. CoRR abs/1807.02599 (2018)
[i23]
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  - journals/corr/abs-1808-01175
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M. Tarik Altuncu, Sophia N. Yaliraki, Mauricio Barahona:
Content-driven, unsupervised clustering of news articles through multiscale graph partitioning. CoRR abs/1808.01175 (2018)
[i21]
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  dblp key:
  - journals/corr/abs-1811-05711
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M. Tarik Altuncu, Erik Mayer, Sophia N. Yaliraki, Mauricio Barahona:
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach. CoRR abs/1811.05711 (2018)

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