Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy. - Iratxe Niño-Adan; Itziar Landa-Torres; Eva Portillo; Diana Manjarres (SOCO, 2019)

Normalization Influence on ANN-Based Models Performance: A New Proposal for Features' Contribution Analysis. - Iratxe Niño-Adan; Eva Portillo; Itziar Landa-Torres; Diana Manjarres (IEEE Access, 2021)

Soft-sensor design for vacuum distillation bottom product penetration classification. - Iratxe Niño-Adan; Itziar Landa-Torres; Diana Manjarres; Eva Portillo (Appl. Soft Comput., 2021)

Feature weighting methods: A review. - Iratxe Niño-Adan; Diana Manjarres; Itziar Landa-Torres; Eva Portillo (Expert Syst. Appl., 2021)

Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. - Iratxe Niño-Adan; Itziar Landa-Torres; Diana Manjarres; Eva Portillo; Lucía Orbe (Sensors, 2021)

Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0. - Iratxe Niño-Adan; Itziar Landa-Torres; Eva Portillo; Diana Manjarres (Eng. Appl. Artif. Intell., 2022)

Prediction of Metabolic Syndrome Based on Machine Learning Techniques with Emphasis on Feature Relevances and Explainability Analysis. - Begoña Ispizua; Diana Manjarres; Iratxe Niño-Adan (BIBM, 2023)

Towards the Design, Quality Assessment and Explainability of Synthetic Tabular Data Generation Techniques for Metabolic Syndrome Diagnosis. - Diana Manjarres; Begoña Ispizua; Iratxe Niño-Adan (BIBM, 2024)