| Model class reliance for random forests G Smith, R Mansilla, J Goulding Advances in Neural Information Processing Systems 33, 22305-22315, 2020 | 23 | 2020 |
| Respiratory volume monitoring: A machine-learning approach to the non-invasive prediction of tidal volume and minute ventilation DE Hurtado, JAP Chavez, R Mansilla, R Lopez, A Abusleme IEEE Access 8, 227936-227944, 2020 | 7 | 2020 |
| Detecting iodine deficiency risks from dietary transitions using shopping data R Mansilla, G Long, S Welham, J Harvey, E Lukinova, G Nica-Avram, ... Scientific Reports 14 (1), 1017, 2024 | | 2024 |
| Who consumes anthocyanins and anthocyanidins? Mining national retail data to reveal the influence of socioeconomic deprivation and seasonality on polyphenol dietary intake J Harvey, G Long, R Mansilla, S Welham, P Rose, M Thomas, G Milligan, ... 2023 IEEE International Conference on Big Data (BigData), 4530-4538, 2023 | | 2023 |
| Identifying iodine deficiencies from dietary transitions using shopping data R Mansilla, G Long, S Welham, J Harvey, L Evgeniya, G Nica-Avram, ... | | 2023 |
| Predicting health related deprivation using loyalty card digital footprints G Long, G Nica-Avram, J Harvey, R Mansilla, S Welham, E Lukinova, ... International Journal of Population Data Science 8 (3), 2023 | | 2023 |
| Identifying and understanding dietary transitions and nutrient deficiency from loyalty card digital footprints R Mansilla, G Long, S Welham, J Harvey, E Lukinova, G Nica-Avram, ... International Journal of Population Data Science 8 (3), 2023 | | 2023 |
| Bundle entropy as an optimized measure of consumers’ systematic product choice combinations in mass transactional data R Mansilla, G Smith, A Smith, J Goulding 2022 IEEE International Conference on Big Data (Big Data), 1044-1053, 2022 | | 2022 |
| Respiratory Volume Monitoring: A Machine-Learning Approach to the Non-Invasive Prediction of Tidal Volume and Minute Ventilation D Hurtado Sepúlveda, JAP Chávez, R Mansilla, R Lopez, ... IEEE, 2020 | | 2020 |
| Supplementary Material: Model Class Reliance for Random Forests G Smith, R Mansilla, J Goulding | | |
