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2020 – today
- 2023
[c2]Begoña Ispizua, Diana Manjarres, Iratxe Niño-Adan:
Prediction of Metabolic Syndrome Based on Machine Learning Techniques with Emphasis on Feature Relevances and Explainability Analysis. BIBM 2023: 1989-1992- 2022
- [j5]Iratxe Niño-Adan
, Itziar Landa-Torres, Eva Portillo, Diana Manjarres:
Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0. Eng. Appl. Artif. Intell. 111: 104807 (2022) - 2021
- [j4]Iratxe Niño-Adan, Eva Portillo, Itziar Landa-Torres, Diana Manjarres:
Normalization Influence on ANN-Based Models Performance: A New Proposal for Features' Contribution Analysis. IEEE Access 9: 125462-125477 (2021) - [j3]Iratxe Niño-Adan, Itziar Landa-Torres, Diana Manjarres, Eva Portillo:
Soft-sensor design for vacuum distillation bottom product penetration classification. Appl. Soft Comput. 102: 107072 (2021) - [j2]Iratxe Niño-Adan, Diana Manjarres, Itziar Landa-Torres, Eva Portillo:
Feature weighting methods: A review. Expert Syst. Appl. 184: 115424 (2021) - [j1]Iratxe Niño-Adan, Itziar Landa-Torres, Diana Manjarres, Eva Portillo, Lucía Orbe:
Soft-Sensor for Class Prediction of the Percentage of Pentanes in Butane at a Debutanizer Column. Sensors 21(12): 3991 (2021)
2010 – 2019
- 2019
- [c1]Iratxe Niño-Adan, Itziar Landa-Torres, Eva Portillo, Diana Manjarres:
Analysis and Application of Normalization Methods with Supervised Feature Weighting to Improve K-means Accuracy. SOCO 2019: 14-24
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