Publications

dlordinal: a Python package for deep ordinal classification

ORFEO: Ordinal classifier and regressor fusion for estimating an ordinal categorical target

Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height

Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions

Learning Ordinal–Hierarchical constraints for deep learning classifiers

Deep ordinal classification in forest areas using light detection and ranging point clouds

Age estimation using soft labelling ordinal classification approaches

Energy flux prediction using an ordinal soft labelling strategy

Data augmentation techniques for extreme wind prediction improvement

Medium-and long-term wind speed prediction using the multi-task learning paradigm

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation

Soft labelling based on triangular distributions for ordinal classification

Gramian angular and markov transition fields applied to time series ordinal classification

Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors

Unimodal regularisation based on beta distribution for deep ordinal regression

Hackathon en docencia: aprendizaje automático aplicado a Ciencias de la Vida

A novel deep ordinal classification approach for aesthetic quality control classification

Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study

Predictive maintenance of ATM machines by modelling remaining useful life with machine learning techniques

Hackathon in teaching: Applying machine learning to life sciences tasks

Mejora de la clasificación ordinal de los diferentes estadios de retinopatías diabéticas

An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients

Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición

Activation functions for convolutional neural networks: Proposals and experimental study

Relu-based activations: Analysis and experimental study for deep learning

Studying the effect of different L p norms in the context of time series ordinal classification

Cumulative link models for deep ordinal classification

Optimising convolutional neural networks using a hybrid statistically-driven coral reef optimisation algorithm

Statistically-driven coral reef metaheuristic for automatic hyperparameter setting and architecture design of convolutional neural networks

Deep ordinal classification based on the proportional odds model