Ordozgoiti Rubio, Bruno bruno.ordozgoiti@upm.es

Actividades

Regularized greedy column subset selection

  • Ordozgoiti, Bruno
  • Mozo, Alberto
  • Garcia Lopez de Lacalle, Jesus;

Information Sciences (p. 393-418) - 1/6/2019

10.1016/j.ins.2019.02.039 Ver en origen

  • ISSN 00200255

Provable randomized rounding for minimum-similarity diversification

  • Ordozgoiti B
  • Mahadevan A
  • Matakos A
  • Gionis A

Data Mining And Knowledge Discovery (p. 709-738) - 1/1/2022

10.1007/s10618-021-00811-2 Ver en origen

  • ISSN 13845810

Iterative column subset selection

  • Ordozgoiti, Bruno
  • Gomez Canaval, Sandra
  • Mozo, Alberto;

Knowledge And Information Systems (p. 65-94) - 1/1/2018

10.1007/s10115-017-1115-4 Ver en origen

  • ISSN 02191377

Forecasting short-term data center network traffic load with convolutional neural networks

  • Mozo A, Ordozgoiti B, Gómez-Canaval S.

Plos One - 1/1/2018

10.1371/journal.pone.0191939 Ver en origen

  • ISSN 19326203

Este/a investigador/a no tiene libros.

Este/a investigador/a no tiene capítulos de libro.

Searching for polarization in signed graphs: A local spectral approach

  • Xiao H
  • Ordozgoiti B
  • Gionis A

The Web Conference 2020 - Proceedings Of The World Wide Web Conference, Www 2020 (p. 362-372) - 20/4/2020

10.1145/3366423.3380121 Ver en origen

Reconciliation k-median: Clustering with non-polarized representatives

  • Ordozgoiti B
  • Gionis A

The Web Conference 2019 - Proceedings Of The World Wide Web Conference, Www 2019 (p. 1387-1397) - 13/5/2019

10.1145/3308558.3313475 Ver en origen

Probabilistic Leverage Scores for Parallelized Unsupervised Feature Selection.

  • Ordozgoiti, Bruno
  • Gomez Canaval, Sandra
  • Mozo, Alberto;

Advances In Computational Intelligence. Iwann 2017. Lecture Notes In Computer Science, Vol 10306. Springer, Cham (p. 722-733) - 14/6/2017

10.1007/978-3-319-59147-6_61 Ver en origen

  • ISSN 03029743

Parallelized Unsupervised Feature Selection for Large-Scale Network Traffic Analysis

  • Ordozgoiti B
  • Canaval S
  • Mozo A

Proceedings Of The 24th European Symposium On Artificial Neural Networks, Computational Intelligence And Machine Learning - Esann 2016. (p. 617-622) - 27/4/2016

  • iMarina

PROBABILISTIC LEVERAGE SCORES FOR PARALLELIZED UNSUPERVISED FEATURE SELECTION (ALPHA CORE B)

  • Ordozgoiti Rubio, Bruno
  • GOMEZ CANAVAL, SANDRA MARIA
  • MOZO VELASCO, BONIFACIO ALBERTO

Advances In Computational Intelligence, Lecture Notes In Computer Science (p. 722-733) - 14/6/2017

  • iMarina

Off-the-Grid: Fast and Effective Hyperparameter Search for Kernel Clustering

  • Ordozgoiti B
  • Muñoz LAB

Lecture Notes In Computer Science (p. 399-415) - 1/1/2021

10.1007/978-3-030-67661-2_24 Ver en origen

  • ISSN 03029743

NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios.

  • Gomez Canaval, Sandra
  • Ordozgoiti Rubio, Bruno
  • Mozo, Alberto;

New Trends In Databases And Information Systems. Communications In Computer And Information Science Series, Volume 539. (Funded By Fp7 Ontic Project, No. 619633) (p. 207-217) - 8/9/2015

10.1007/978-3-319-23201-0_23 Ver en origen

  • ISSN 18650929

Massively Parallel Unsupervised Feature Selection on Spark.

  • Ordozgoiti, Bruno
  • Gomez Canaval, Sandra
  • Mozo, Alberto;

New Trends In Databases And Information Systems. Communications In Computer And Information Science Series, Volume 539. (Funded By Fp7 Ontic Project, No. 619633) (p. 186-196) - 8/9/2015

10.1007/978-3-319-23201-0_21 Ver en origen

  • ISSN 18650929

Finding large balanced subgraphs in signed networks

  • Ordozgoiti B
  • Matakos A
  • Gionis A

The Web Conference 2020 - Proceedings Of The World Wide Web Conference, Www 2020 (p. 1378-1388) - 20/4/2020

10.1145/3366423.3380212 Ver en origen

Feature Ranking and Selection for Big Data Sets.

  • Ordozgoiti B
  • Canaval S
  • Mozo A

Proceedings Adbis 2016: New Trends In Databases And Information Systems. Communications In Computer And Information Science 637, Springer 2016 (p. 128-136) - 28/8/2016

10.1007%2f978-3-319-44066-8_14 Ver en origen

  • ISSN 18650929

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

ONline Network TraffIc Characterization

  • MOZO VELASCO, BONIFACIO ALBERTO (Investigador principal (IP))
  • Fernández Muñoz, Luis (Participante)
  • SANCHEZ COUSO, JOSE RAMON (Participante)
  • GOMEZ CANAVAL, SANDRA MARIA (Participante)
  • Ordozgoiti Rubio, Bruno (Participante)
  • Zhu, Bo (Participante)
  • HERNANDO ESTEBAN, ANTONIO (Participante)
  • SEVILLA DE PABLO, ANDRES (Participante)
  • López Presa, José Luis (Participante)
  • GUTIERREZ RODRIGUEZ, ABRAHAM (Participante)
  • Arroyo Montoro, Fernando (Participante)
... Ver más Contraer

Ejecución: 01-02-2014 - 31-01-2017

Tipo: Internacional

Importe financiado: 612636,00 Euros.

  • iMarina

Building an Intelligent System of Insights and Action for 5G Network Management

  • Bonifacio Alberto Mozo Velasco (Investigador principal (IP))
  • RODRIGUEZ GONZALEZ, ALEJANDRO (Investigador/a)

Ejecución: 01-07-2015 - 31-12-2017

Tipo: Internacional

Importe financiado: 457500,00 Euros.

  • iMarina

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 18:38