Víctor Manuel Vargas

36 papers B 1Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression.
Appl. Soft Comput.
Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
2026 J jnl
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets.
Neurocomputing
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas, Pedro Antonio Gutiérrez
2025 — conf
Hybrid Dropout for Deep Ordinal Classification.
IWANN (1)
Francisco Bérchez-Moreno, Francisco Moreno-Cano, David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 — conf
Knee Osteoarthritis Severity Grading Using Soft Labelling and Ordinal Classification.
IWANN (1)
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 J jnl
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers.
IEEE Trans. Neural Networks Learn. Syst.
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez
2025 J jnl
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning.
Integr. Comput. Aided Eng.
Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024 J jnl
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds.
Sensors
Alejandro Morales-Martín, Francisco Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez
2024 J jnl
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height.
Knowl. Based Syst.
Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2024 — conf
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
2024 J jnl
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions.
CoRR
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2024 — conf
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm.
IWINAC (2)
Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
2024 J jnl
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target.
Eng. Appl. Artif. Intell.
Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas
2024 J jnl
dlordinal: a Python package for deep ordinal classification.
CoRR
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2023 J jnl
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
CoRR
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023 J jnl
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data.
Eng. Appl. Artif. Intell.
Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
2023 J jnl
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study.
IEEE Trans. Neural Networks Learn. Syst.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2023 J jnl
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment.
Comput. Ind.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023 J jnl
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment.
Appl. Soft Comput.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
2023 J jnl
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci.
Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 — conf
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
IWANN (2)
Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2023 — conf
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors.
IWANN (2)
Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio
2023 J jnl
Soft labelling based on triangular distributions for ordinal classification.
Inf. Fusion
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
2022 J jnl
A novel deep ordinal classification approach for aesthetic quality control classification.
Neural Comput. Appl.
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
2022 — conf
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
CISIS-ICEUTE
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández
2022 — conf
Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks.
CISIS-ICEUTE
David Guijo-Rubio, Víctor Manuel Vargas, Javier Barbero-Gómez, Jose V. Die, Pablo González-Moreno
2022 — conf
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques.
SOCO
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni
2022 J jnl
Unimodal regularisation based on beta distribution for deep ordinal regression.
Pattern Recognit.
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021 J jnl
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients.
CoRR
Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez
2021 J jnl
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients.
Expert Syst. Appl.
Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez
2021 — conf
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning.
CAEPIA
Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2021 — conf
Studying the Effect of Different L
CAEPIA
David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2020 J jnl
Cumulative link models for deep ordinal classification.
Neurocomputing
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
2020 J jnl
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm.
Appl. Soft Comput.
Alejandro Martín, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez
2020 B conf
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks.
CEC
Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
2019 — conf
Deep Ordinal Classification Based on the Proportional Odds Model.
IWINAC (2)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
2019 J jnl
Deep ordinal classification based on cumulative link models.
CoRR
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez