Anomaly Detection Using the Poisson Process Limit for Extremes. - Stijn Luca; Peter Karsmakers; Bart Vanrumste (ICDM, 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)

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)

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 (EMBC, 2015)

One-class classification of point patterns of extremes. - Stijn Luca; David A. Clifton; Bart Vanrumste (J. Mach. Learn. Res., 2016)

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)

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 (EMBC, 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 (SenSys, 2019)

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 (IoT Streams/ITEM@PKDD/ECML, 2020)

Data augmentation and semi-supervised learning for deep neural networks-based text classifier. - Heereen Shim; Stijn Luca; Dietwig Lowet; Bart Vanrumste (SAC, 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)

Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. - Heereen Shim; Dietwig Lowet; Stijn Luca; Bart Vanrumste (W-NUT, 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 (EMBC, 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 (EMBC, 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; et al. (IEEE Access, 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 Localized Learning Approach Applied to Human Activity Recognition. - Ahmed Youssef Ali Amer; Jean-Marie Aerts; Bart Vanrumste; Stijn Luca (IEEE Intell. Syst., 2021)

On Calibration of Ensemble-Based Credal Predictors. - Thomas Mortier; Viktor Bengs; Eyke Hüllermeier; Stijn Luca; Willem Waegeman (CoRR, 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 the Calibration of Probabilistic Classifier Sets. - Thomas Mortier; Viktor Bengs; Eyke Hüllermeier; Stijn Luca; Willem Waegeman (AISTATS, 2023)

Daily Pain Prediction in Workplace Using Gaussian Processes. - Chetanya Puri; Stijn Keyaerts; Maxwell Szymanski; Lode Godderis; Katrien Verbert; Stijn Luca; Bart Vanrumste (HEALTHINF, 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., 2023)

Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. - Yonas Y. Tefera; Stijn Luca; Dereje Hailemariam Woldegebreal; Peter Karsmakers (IEEE Access, 2025)

Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. - Yonas Y. Tefera; Quinten Van Baelen; Maarten Meire; Stijn Luca; Peter Karsmakers (CoRR, 2025)