Ghent University Academic Bibliography

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An exploratory data analysis : the performance differences of a medical code prediction system on different demographic groups

Heereen Shim, Dietwig Lowet, Stijn Luca (UGent) and Bart Vanrumste

(2022) Proceedings of the 4th Clinical Natural Language Processing Workshop. p.93-102
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Forecasting time series in healthcare with Gaussian processes and Dynamic Time Warping based subset selection

Chetanya Puri, Gerben Kooijman, Bart Vanrumste and Stijn Luca (UGent)

(2022) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 26(12). p.6126-6137
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A localized learning approach applied to human activity recognition

Ahmed Youssef, Jean-marie Aerts, Bart Vanrumste and Stijn Luca (UGent)

(2021) IEEE INTELLIGENT SYSTEMS. 36(3). p.58-71
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Synthetic data generation and multi-task learning for extracting temporal information from health-related narrative text

Heereen Shim, Dietwig Lowet, Stijn Luca (UGent) and Bart Vanrumste

(2021) Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). p.260-273
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LETS : a label-efficient training scheme for aspect-based sentiment analysis by using a pre-trained language model

Heereen Shim, Dietwig Lowet, Stijn Luca (UGent) and Bart Vanrumste

(2021) IEEE ACCESS. 9. p.115563-115578
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A personalized Bayesian approach for early intervention in gestational weight gain management toward pregnancy care

Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Jo Hua, Nan Huang, Henry Ma, Yafang Jin, Fan Ling, et al.

(2021) IEEE ACCESS. 9. p.160946-160957
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Feature selection for unbiased imputation of missing values : a case study in healthcare

Chetanya Puri, Gerben Kooijman, Xi Long, Paul Hamelmann, Sima Asvadi, Bart Vanrumste and Stijn Luca (UGent)

(2021) 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). In IEEE Engineering in Medicine and Biology Society Conference Proceedings p.1911-1915
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Gestational weight gain prediction using privacy preserving federated learning

Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca (UGent) and Bart Vanrumste

(2021) 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). In IEEE Engineering in Medicine and Biology Society Conference Proceedings p.2170-2174
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Building blocks of a task-oriented dialogue system in the healthcare domain

Heereen Shim, Dietwig Lowet, Stijn Luca (UGent) and Bart Vanrumste

(2021) Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations. p.47-57
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Vital signs prediction and early warning score calculation based on continuous monitoring of hospitalised patients using wearable technology

Ahmed Youssef Ali Amer, Femke Wouters, Julie Vranken, Dianne de Korte-de Boer, Valérie Smit-Fun, Patrick Duflot, Marie-Hélène Beaupain, Pieter Vandervoort, Stijn Luca (UGent) , Jean-Marie Aerts, et al.

(2020) SENSORS. 20(22).

Academic Bibliography

An exploratory data analysis : the performance differences of a medical code prediction system on different demographic groups

Forecasting time series in healthcare with Gaussian processes and Dynamic Time Warping based subset selection

A localized learning approach applied to human activity recognition

Synthetic data generation and multi-task learning for extracting temporal information from health-related narrative text

LETS : a label-efficient training scheme for aspect-based sentiment analysis by using a pre-trained language model

A personalized Bayesian approach for early intervention in gestational weight gain management toward pregnancy care

Feature selection for unbiased imputation of missing values : a case study in healthcare

Gestational weight gain prediction using privacy preserving federated learning

Building blocks of a task-oriented dialogue system in the healthcare domain

Vital signs prediction and early warning score calculation based on continuous monitoring of hospitalised patients using wearable technology

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