Methodology - Ordinal classification
Miembros
Descripción
Desarrollo de clasificación ordinal mediante computación evolutiva.
Publicaciones
- CNN Explanation Methods for Ordinal Regression Tasks
- EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height
- ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
- A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic
- Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation
- Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
- Soft labelling based on triangular distributions for ordinal classification
- Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
- Unimodal regularisation based on beta distribution for deep ordinal regression
- Error-correcting output codes in the framework of deep ordinal classification
- An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
- Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library
- Ordinal versus nominal time series classification
- Time series ordinal classification via shapelets
- Cumulative link models for deep ordinal classification
- ORCA: A Matlab/Octave Toolbox for Ordinal Regression
- OCAPIS: R package for Ordinal Classification and Preprocessing in Scala
- Monotonic classification: An overview on algorithms, performance measures and data sets
- Combining Ranking with Traditional Methods for Ordinal Class Imbalance
- Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis
