| Feature weighting methods: A review I Niño-Adan, D Manjarres, I Landa-Torres, E Portillo Expert Systems with Applications 184, 115424, 2021 | 37 | 2021 |
| Influence of statistical feature normalisation methods on K-Nearest Neighbours and K-Means in the context of industry 4.0 I Niño-Adan, I Landa-Torres, E Portillo, D Manjarres Engineering Applications of Artificial Intelligence 111, 104807, 2022 | 13 | 2022 |
| Normalization influence on ANN-based models performance: A new proposal for Features’ contribution analysis I Nino-Adan, E Portillo, I Landa-Torres, D Manjarres IEEE Access 9, 125462-125477, 2021 | 11 | 2021 |
| Soft-sensor design for vacuum distillation bottom product penetration classification I Niño-Adan, I Landa-Torres, D Manjarres, E Portillo Applied Soft Computing 102, 107072, 2021 | 10 | 2021 |
| Soft-sensor for class prediction of the percentage of pentanes in butane at a debutanizer column I Niño-Adan, I Landa-Torres, D Manjarres, E Portillo, L Orbe Sensors 21 (12), 3991, 2021 | 7 | 2021 |
| Analysis and application of normalization methods with supervised feature weighting to improve K-means accuracy I Niño-Adan, I Landa-Torres, E Portillo, D Manjarres 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 6 | 2020 |
| Prediction of Metabolic Syndrome Based on Machine Learning Techniques with Emphasis on Feature Relevances and Explainability Analysis B Ispizua, D Manjarrés, I Niño-Adan 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Design and Development of Soft-sensors in the Context of Oil and Gas 4.0: an AutoML Approach based on Machine Learning Feature Engineering IN Adan Universidad del País Vasco-Euskal Herriko Unibertsitatea, 2022 | | 2022 |
Diana ManjarrésResearcher at Tecnalia Research & InnovationVerified email at tecnalia.com
