Stijn Luca

发表

Point process models for novelty detection on spatial point patterns and their extremes

David A. Clifton, Peter J. Watkinson, Stijn Luca, 2018, Comput. Stat. Data Anal..

An approach to estimate degree completion using drop-out rates

Stijn Luca, M. Coppens, Marc Verdyck, 2014 .

Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection

B. Vanrumste, Stijn Luca, G. Kooijman, 2022, IEEE Journal of Biomedical and Health Informatics.

Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2014, IEEE Journal of Biomedical and Health Informatics.

Detecting rare events using extreme value statistics applied to epileptic convulsions in children

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2014, Artif. Intell. Medicine.

An approach using extreme value statistics to detect rare movement events in a bio-medical dataset

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2013 .

Detecting hypermotor seizures using extreme value statistics

Sabine Van Huffel, Bart Vanrumste, Peter Karsmakers, 2012 .

Data augmentation and semi-supervised learning for deep neural networks-based text classifier

Bart Vanrumste, Stijn Luca, Heereen Shim, 2020, SAC.

LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model

Bart Vanrumste, Stijn Luca, Heereen Shim, 2021, IEEE Access.

One-class classification of point patterns of extremes

Bart Vanrumste, David A. Clifton, Stijn Luca, 2016, J. Mach. Learn. Res..

A Localized Learning Approach Applied to Human Activity Recognition

J. Aerts, B. Vanrumste, Stijn Luca, 2021, IEEE Intelligent Systems.

Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology

Bart Vanrumste, Jean-Marie Aerts, Ahmed Youssef Ali Amer, 2020, Sensors.

Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements

Bart Vanrumste, Jean-Marie Aerts, Ahmed Youssef Ali Amer, 2019, Applied Sciences.

Developing a system that can automatically detect health changes using transfer times of older adults

Bart Vanrumste, Stijn Luca, Tom Croonenborghs, 2016, BMC Medical Research Methodology.

Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly

Bart Vanrumste, Stijn Luca, Tom Croonenborghs, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Gestational weight gain prediction using privacy preserving federated learning

Bart Vanrumste, Hans Hallez, Sam Michiels, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

PREgDICT : Early prediction of gestational weight gain for pregnancy care

Bart Vanrumste, Stijn Luca, Gerben Kooijman, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A personalised bayesian approach for early intervention in gestational weight gain management towards pregnancy care

Bart Vanrumste, Stijn Luca, Chetanya Puri, 2021, IEEE Access.

Daily Pain Prediction in Workplace Using Gaussian Processes

K. Verbert, B. Vanrumste, L. Godderis, 2023, HEALTHINF.

Anomaly Detection Using the Poisson Process Limit for Extremes

Bart Vanrumste, Peter Karsmakers, Stijn Luca, 2014, 2014 IEEE International Conference on Data Mining.

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

Bart Vanrumste, Stijn Luca, Heereen Shim, 2021, NLPMC.

Modified chain sampling plans for lot inspection by variables and attributes

Stijn Luca, Stijn Luca, 2018 .

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

Paul Hamelmann, Bart Vanrumste, Stijn Luca, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).