Alberto Cocaña-Fernández

Orcid: 0000-0002-1019-0819

Affiliations:
  • University of Oviedo, Spain


According to our database1, Alberto Cocaña-Fernández authored at least 11 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Improving the energy efficiency of virtual data centers in an IT service provider through proactive fuzzy rules-based multicriteria decision making.
J. Supercomput., 2019

Improving EECluster to optimize the carbon footprint and operating costs of HPC clusters.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2017
Multicriteria Design of Cost-Conscious Fuzzy Rule-Based Classifiers.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Evolved frequency log-energy coefficients for voice activity detection in hearing aids.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Energy-conscious fuzzy rule-based classifiers for battery operated embedded devices.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters.
Eng. Appl. Artif. Intell., 2016

Improving learning efficiency in multi-objective simulated annealing programming for sound environment classification.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Improving NNMFPACK with heterogeneous and efficient kernels for β-divergence metrics.
J. Supercomput., 2015

Energy-efficient allocation of computing node slots in HPC clusters through parameter learning and hybrid genetic fuzzy system modeling.
J. Supercomput., 2015

Energy-Efficient Sound Environment Classifier for Hearing Aids Based on Multi-objective Simulated Annealing Programming.
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015

A software tool to efficiently manage the energy consumption of HPC clusters.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015


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