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.

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

Timeline

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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

dlordinal: a Python package for deep ordinal classification.
CoRR, 2024

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

Data Augmentation Techniques for Extreme Wind Prediction Improvement.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Age Estimation Using Soft Labelling Ordinal Classification Approaches.
Proceedings of the Advances in Artificial Intelligence, 2024

2023
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci., November, 2023

Soft labelling based on triangular distributions for ordinal classification.
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
Unimodal regularisation based on beta distribution for deep ordinal regression.
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

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

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

ReLU-Based Activations: Analysis and Experimental Study for Deep Learning.
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
Cumulative link models for deep ordinal classification.
Neurocomputing, 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
Deep ordinal classification based on cumulative link models.
CoRR, 2019

Deep Ordinal Classification Based on the Proportional Odds Model.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019


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