Víctor Manuel Vargas Yun
Orcid: 0000-0002-0700-275X
According to our database1,
Víctor Manuel Vargas Yun
authored at least 30 papers
between 2019 and 2024.
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Bibliography
2024
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds.
Sensors, April, 2024
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height.
Knowl. Based Syst., 2024
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target.
Eng. Appl. Artif. Intell., 2024
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions.
CoRR, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024
Proceedings of the Advances in Artificial Intelligence, 2024
2023
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci., November, 2023
Inf. Fusion, May, 2023
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.
Appl. Soft Comput., May, 2023
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
Eng. Appl. Artif. Intell., 2023
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.
Comput. Ind., 2023
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Pattern Recognit., 2022
A novel deep ordinal classification approach for aesthetic quality control classification.
Neural Comput. Appl., 2022
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
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
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
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
Proceedings of the Advances in Artificial Intelligence, 2021
Studying the Effect of Different L<sub>p</sub> Norms in the Context of Time Series Ordinal Classification.
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm.
Appl. Soft Comput., 2020
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019