| vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining N Mordvanyuk, B López, A Bifet Expert Systems with Applications 168, 114276, 2021 | 17 | 2021 |
| Bag-of-steps: Predicting lower-limb fracture rehabilitation length by weight loading analysis A Pla, N Mordvanyuk, B López, M Raaben, TJ Blokhuis, HR Holstlag Neurocomputing 268, 109-115, 2017 | 13 | 2017 |
| Prediction of Glucose Level Conditions from Sequential Data. N Mordvanyuk, F Torrent-Fontbona, B López CCIA, 227-232, 2017 | 9 | 2017 |
| Negative results for the prediction of postprandial hypoglycemias from insulin intakes and carbohydrates: analysis and comparison with simulated data F Dubosson, N Mordvanyuk, B López Ibáñez, M Schumacher © Herrero, P., López, B., Martin, C.(eds).(2017). AID 2017: Proceedings of …, 2017 | 6 | 2017 |
| Knowledge representation and machine learning on wearable sensor data: A study on gait monitoring B López, N Mordvanyuk, P Gay, A Pla Proceedings of the first international conference on data science, e …, 2018 | 4 | 2018 |
| VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining N Mordvanyuk, A Bifet, B López Expert Systems with Applications 204, 117517, 2022 | 3 | 2022 |
| MATCHuP: An mHealth Tool for Children and Young People Health Promotion B López, S Soung, N Mordvanyuk, A Pla, P Gay, A López-Bermejo International Conference on Health Informatics 6, 313-318, 2017 | 3 | 2017 |
| TA4L: Efficient temporal abstraction of multivariate time series N Mordvanyuk, B López, A Bifet Knowledge-Based Systems 244, 108554, 2022 | 1 | 2022 |
| Understanding affective behaviour from physiological signals: Feature learning versus pattern mining N Mordvanyuk, J Gauchola, B López 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 1 | 2021 |
| Efficient sequential and temporal pattern mining N Mordvanyuk | | 2021 |
| PREDICTION OF HYPERGLYCAEMIA AND HYPOGLYCAEMIA EVENTS USING LONGITUDINAL DATA F Torrent-Fontbona, N Mordvanyuk, B Lopez DIABETES TECHNOLOGY & THERAPEUTICS 20, A80-A81, 2018 | | 2018 |
| eXiT Research Group at the University of Girona: Artificial Intelligence and Machine Learning Applied to Medicine and Healthcare B López Ibáñez, N Mordvanyuk, J Massana i Raurich, F Torrent-Fontbona, ... © Herrera, F. et al.(eds.)(2018). XVIII Conferencia de la Asociación …, 2018 | | 2018 |
| Prediction of hyperglycaemia and hypoglycaemia events using longitudinal data [Pòster] N Mordvanyuk, F Torrent-Fontbona, B López Ibáñez Advanced Technologies & Treatments for Diabetes (ATTD), 2018 | | 2018 |
| Bag-of-steps: Predicting Lower-limb Fracture Rehabilitation Length A Pla Planas, N Mordvanyuk, B López Ibáñez, M Raaben, TJ Blokhuid, ... Neurocomputing, 2016, In Press, 2017 | | 2017 |
| Prediction of glucose level conditions from sequential data [Pòster] N Mordvanyuk, F Torrent-Fontbona, B López Ibáñez Catalan Association for Artificial Intelligence (ACIA), 2017 | | 2017 |
