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ORCIDVíctor Manuel Vargas Yun
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Journal Articles
- 2024
[j14]Antonio M. Gómez-Orellana, David Guijo-Rubio
, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas:
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. 133: 108462 (2024)- [j13]Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio:
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. Knowl. Based Syst. 300: 112223 (2024) - [j12]Alejandro Morales-Martín, Francisco Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez:
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. Sensors 24(7): 2168 (2024) - 2023
- [j11]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. Appl. Soft Comput. 138: 110191 (2023) - [j10]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. 144: 103786 (2023) - [j9]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. 123(Part C): 106463 (2023) - [j8]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Soft labelling based on triangular distributions for ordinal classification. Inf. Fusion 93: 258-267 (2023) - [j7]Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. Inf. Sci. 648: 119606 (2023) - [j6]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1478-1488 (2023) - 2022
- [j5]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni:
A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. 34(14): 11625-11639 (2022) - [j4]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. 122: 108310 (2022) - 2021
- [j3]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez:
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. Expert Syst. Appl. 182: 115271 (2021) - 2020
- [j2]Alejandro Martín, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez:
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. Appl. Soft Comput. 90: 106144 (2020) - [j1]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Cumulative link models for deep ordinal classification. Neurocomputing 401: 48-58 (2020)
Conference and Workshop Papers
- 2024
- [c13]Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Age Estimation Using Soft Labelling Ordinal Classification Approaches. CAEPIA 2024: 40-49 - [c12]Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio:
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. IWINAC (2) 2024: 283-292 - [c11]Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. IWINAC (2) 2024: 293-302 - [c10]Marta Vega-Bayo, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas Yun, David Guijo-Rubio, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz:
Data Augmentation Techniques for Extreme Wind Prediction Improvement. IWINAC (2) 2024: 303-313 - 2023
- [c9]Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio:
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. IWANN (2) 2023: 505-516 - [c8]Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio:
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. IWANN (2) 2023: 517-528 - 2022
- [c7]Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández:
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE 2022: 224-235 - [c6]David Guijo-Rubio, Víctor Manuel Vargas, Javier Barbero-Gómez, Jose V. Die, Pablo González-Moreno:
Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks. CISIS-ICEUTE 2022: 236-246 - [c5]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni:
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO 2022: 239-249 - 2021
- [c4]Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA 2021: 33-43 - [c3]David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. CAEPIA 2021: 44-53 - 2020
- [c2]Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho:
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC 2020: 1-8 - 2019
- [c1]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás:
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) 2019: 441-451
Informal and Other Publications
- 2024
- [i5]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions. CoRR abs/2407.12417 (2024) - [i4]Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez:
dlordinal: a Python package for deep ordinal classification. CoRR abs/2407.17163 (2024) - 2023
- [i3]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR abs/2305.10059 (2023) - 2021
- [i2]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez:
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. CoRR abs/2106.05230 (2021) - 2019
- [i1]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Deep ordinal classification based on cumulative link models. CoRR abs/1905.13392 (2019)
Coauthor Index
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