Stijn Luca

According to our database, Stijn Luca authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios.

Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca

J. Comput. Graph. Stat., January, 2023

Daily Pain Prediction in Workplace Using Gaussian Processes.

Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

On the Calibration of Probabilistic Classifier Sets.

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

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

Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca

IEEE J. Biomed. Health Informatics, 2022

On Calibration of Ensemble-Based Credal Predictors.

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman

CoRR, 2022

2021

A Localized Learning Approach Applied to Human Activity Recognition.

Ahmed Youssef Ali Amer, Jean-Marie Aerts, Bart Vanrumste, Stijn Luca

IEEE Intell. Syst., 2021

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

Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste

IEEE Access, 2021

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, Guanghui Li, Dongtao Zhang, Xiaochun Wang, Stijn Luca, Bart Vanrumste

IEEE Access, 2021

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, Stijn Luca

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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, Bart Vanrumste

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text.

Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020

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 M. Vandervoort, Stijn Luca, Jean-Marie Aerts, Bart Vanrumste

Sensors, 2020

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

Heereen Shim, Stijn Luca, Dietwig Lowet, Bart Vanrumste

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine.

Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

2019

Privacy preserving pregnancy weight gain management: demo abstract.

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

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

PREgDICT : Early prediction of gestational weight gain for pregnancy care.

Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Stijn Luca, Bart Vanrumste

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

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

Stijn Luca, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton

Comput. Stat. Data Anal., 2018

2016

One-class classification of point patterns of extremes.

Stijn Luca, David A. Clifton, Bart Vanrumste

J. Mach. Learn. Res., 2016

2015

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

Greet Baldewijns, Stijn Luca, William Nagels, Bart Vanrumste, Tom Croonenborghs

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

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

Kris Cuppens, Peter Karsmakers, Anouk Van de Vel, Bert Bonroy, Milica Milosevic, Stijn Luca, Tom Croonenborghs, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste

IEEE J. Biomed. Health Informatics, 2014

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

Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste

Artif. Intell. Medicine, 2014

Anomaly Detection Using the Poisson Process Limit for Extremes.

Stijn Luca, Peter Karsmakers, Bart Vanrumste

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014