Bruno Ordozgoiti
Bruno Ordozgoiti
Postdoctoral researcher at Aalto University
Verified email at upm.es
Title
Cited by
Cited by
Year
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gómez-Canaval
PloS one 13 (2), e0191939, 2018
352018
Can machine learning aid in delivering new use cases and scenarios in 5G?
TS Buda, H Assem, L Xu, D Raz, U Margolin, E Rosensweig, DR Lopez, ...
NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1279-1284, 2016
322016
CogNet: A network management architecture featuring cognitive capabilities
L Xu, H Assem, IGB Yahia, TS Buda, A Martin, D Gallico, M Biancani, ...
2016 European Conference on Networks and Communications (EuCNC), 325-329, 2016
292016
Discovering polarized communities in signed networks
F Bonchi, E Galimberti, A Gionis, B Ordozgoiti, G Ruffo
Proceedings of the 28th ACM International Conference on Information and …, 2019
162019
NPEPE: massive natural computing engine for optimally solving NP-complete problems in big data scenarios
SG Canaval, BO Rubio, A Mozo
East European Conference on Advances in Databases and Information Systems …, 2015
122015
Massively parallel unsupervised feature selection on spark
B Ordozgoiti, SG Canaval, A Mozo
East European Conference on Advances in Databases and Information Systems …, 2015
82015
Iterative column subset selection
B Ordozgoiti, SG Canaval, A Mozo
Knowledge and Information Systems 54 (1), 65-94, 2018
72018
A fast iterative algorithm for improved unsupervised feature selection
B Ordozgoiti, SG Canaval, A Mozo
2016 IEEE 16th International Conference on Data Mining (ICDM), 390-399, 2016
62016
Using machine learning to detect noisy neighbors in 5g networks
U Margolin, A Mozo, B Ordozgoiti, D Raz, E Rosensweig, I Segall
arXiv preprint arXiv:1610.07419, 2016
52016
Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure
B Ordozgoiti, A Mozo, SG Canaval, U Margolin, E Rosensweig, I Segall
COSTAC 2017, 59, 2017
42017
PSCEG: an unbiased parallel subspace clustering algorithm using exact grids.
B Zhu, A Mozo, B Ordozgoiti
ESANN, 2016
42016
Searching for polarization in signed graphs: a local spectral approach
H Xiao, B Ordozgoiti, A Gionis
Proceedings of The Web Conference 2020, 362-372, 2020
32020
Regularized greedy column subset selection
B Ordozgoiti, A Mozo, JGL de Lacalle
Information Sciences 486, 393-418, 2019
22019
Parallelized unsupervised feature selection for large-scale network traffic analysis.
B Ordozgoiti, SG Canaval, A Mozo
ESANN, 2016
22016
Mining signed networks: Theory and applications: Tutorial proposal for the web conference 2020
A Gionis, A Matakos, B Ordozgoiti, H Xiao
Companion Proceedings of the Web Conference 2020, 309-310, 2020
12020
Finding large balanced subgraphs in signed networks
B Ordozgoiti, A Matakos, A Gionis
Proceedings of The Web Conference 2020, 1378-1388, 2020
12020
Discovering conflicting groups in signed networks
RC Tzeng, B Ordozgoiti, A Gionis
Advances in Neural Information Processing Systems 33, 2020
12020
Reconciliation k-median: Clustering with Non-polarized Representatives
B Ordozgoiti, A Gionis
The World Wide Web Conference, 1387-1397, 2019
12019
ONTIC: D5. 3: ONTIC Subsystem Integration
J Dromard, P Owezarski, M López, C Area, MÁ Monjas, A Bascuñana, ...
LAAS-CNRS; SATEC; Ericsson Spain; Dell-EMC; UPM, 2017
12017
Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering
B Ordozgoiti, LAB Muñoz
arXiv preprint arXiv:2006.13567, 2020
2020
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