Bruno Ordozgoiti
Bruno Ordozgoiti
Lecturer in Computer Science at Queen Mary University of London
Verified email at - Homepage
Cited by
Cited by
Forecasting short-term data center network traffic load with convolutional neural networks
A Mozo, B Ordozgoiti, S Gomez-Canaval
PloS one 13 (2), e0191939, 2018
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
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
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
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
Discovering conflicting groups in signed networks
RC Tzeng, B Ordozgoiti, A Gionis
Advances in Neural Information Processing Systems 33, 10974-10985, 2020
Diversity-Aware k-median: Clustering with Fair Center Representation
S Thejaswi, B Ordozgoiti, A Gionis
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
Finding large balanced subgraphs in signed networks
B Ordozgoiti, A Matakos, A Gionis
Proceedings of The Web Conference 2020, 1378-1388, 2020
NPEPE: Massive natural computing engine for optimally solving NP-complete problems in Big Data scenarios
S Gómez Canaval, B Ordozgoiti Rubio, A Mozo
New Trends in Databases and Information Systems: ADBIS 2015 Short Papers and …, 2015
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
Iterative column subset selection
B Ordozgoiti, SG Canaval, A Mozo
Knowledge and Information Systems 54, 65-94, 2018
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
Massively parallel unsupervised feature selection on spark
B Ordozgoiti, S Gómez Canaval, A Mozo
East European Conference on Advances in Databases and Information Systems …, 2015
Regularized greedy column subset selection
B Ordozgoiti, A Mozo, JGL de Lacalle
Information Sciences 486, 393-418, 2019
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
Clustering with fair-center representation: Parameterized approximation algorithms and heuristics
S Thejaswi, A Gadekar, B Ordozgoiti, M Osadnik
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
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
Reconciliation k-median: Clustering with Non-polarized Representatives
B Ordozgoiti, A Gionis
The World Wide Web Conference, 1387-1397, 2019
PSCEG: an unbiased parallel subspace clustering algorithm using exact grids.
B Zhu, A Mozo, B Ordozgoiti
ESANN, 2016
Generalized leverage scores: Geometric interpretation and applications
B Ordozgoiti, A Matakos, A Gionis
International Conference on Machine Learning, 17056-17070, 2022
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