Javier Barbero-Gómez

Orcid: 0000-0002-9317-1428

According to our database1, Javier Barbero-Gómez authored at least 7 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions.
CoRR, 2024

2023
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification.
Neural Process. Lett., October, 2023

Soft labelling based on triangular distributions for ordinal classification.
Inf. Fusion, May, 2023

Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks.
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022

2021
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients.
Expert Syst. Appl., 2021


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