Víctor Manuel Vargas

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Machine Learning

Monotonicity Constraints

Convolutional Neural Networks

Top Venues

Publications

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)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
Soft labelling based on triangular distributions for ordinal classification. Inf. Fusion 93 (2023)
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)
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 (2023)
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) (2023)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. 122 (2022)
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)
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) (2022)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan C. Fernandez
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE (2022)
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)
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 (2021)
David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Norms in the Context of Time Series Ordinal Classification. CAEPIA (2021)
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 (2021)
Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA (2021)
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)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Cumulative link models for deep ordinal classification. Neurocomputing 401 (2020)
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 (2020)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Deep ordinal classification based on cumulative link models. CoRR (2019)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) (2019)