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Natalia Mordvanyuk
Natalia Mordvanyuk
Artificial Intelligence Engineer at Avatar Synthetic Cognition
Verified email at udg.edu - Homepage
Title
Cited by
Cited by
Year
vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining
N Mordvanyuk, B Lopez, A Bifet
Expert Systems with Applications 168, 114276, 2021
132021
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
132017
Prediction of Glucose Level Conditions from Sequential Data.
N Mordvanyuk, F Torrent-Fontbona, B López
CCIA, 227-232, 2017
102017
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
62017
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
42018
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
32022
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
32017
TA4L: Efficient temporal abstraction of multivariate time series
N Mordvanyuk, B López, A Bifet
Knowledge-Based Systems 244, 108554, 2022
12022
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
12021
Efficient sequential and temporal pattern mining
N Mordvanyuk
Universitat de Girona, 2021
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
Machine Learning y análisis estadístico. Correlación entre test gamma 2%-2mm y diversas métricas de análisis de comlejidad del plan
D LAMBISTO-CASTRO, JP PEDROSA, N MORDVANYUK, J MASSANA, ...
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