Stijn Luca - RankMe

24 papers A* 1A 1Misc 2Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. CoRR Yonas Y. Tefera, Quinten Van Baelen, Maarten Meire, Stijn Luca, Peter Karsmakers
2025	J	`jnl`	Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. IEEE Access Yonas Y. Tefera, Stijn Luca, Dereje Hailemariam Woldegebreal, Peter Karsmakers
2023	J	`jnl`	A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios. J. Comput. Graph. Stat. Matthys Lucas Steyn, Tertius de Wet, Bernard De Baets, Stijn Luca
2023	—	`conf`	Daily Pain Prediction in Workplace Using Gaussian Processes. HEALTHINF Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste
2023	A	`conf`	On the Calibration of Probabilistic Classifier Sets. AISTATS Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
2022	J	`jnl`	Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection. IEEE J. Biomed. Health Informatics Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca
2022	J	`jnl`	On Calibration of Ensemble-Based Credal Predictors. CoRR Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman
2021	J	`jnl`	A Localized Learning Approach Applied to Human Activity Recognition. IEEE Intell. Syst. Ahmed Youssef Ali Amer, Jean-Marie Aerts, Bart Vanrumste, Stijn Luca
2021	J	`jnl`	A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care. IEEE Access 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
2021	—	`conf`	Feature selection for unbiased imputation of missing values: A case study in healthcare. EMBC Chetanya Puri, Gerben Kooijman, Xi Long, Paul Hamelmann, Sima Asvadi, Bart Vanrumste, Stijn Luca
2021	—	`conf`	Gestational weight gain prediction using privacy preserving federated learning. EMBC Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste
2021	J	`jnl`	LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model. IEEE Access Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste
2021	—	`conf`	Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. W-NUT Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste
2020	Misc	`conf`	Data augmentation and semi-supervised learning for deep neural networks-based text classifier. SAC Heereen Shim, Stijn Luca, Dietwig Lowet, Bart Vanrumste
2020	—	`conf`	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. IoT Streams/ITEM@PKDD/ECML Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers
2020	J	`jnl`	Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. Sensors 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
2019	—	`conf`	PREgDICT : Early prediction of gestational weight gain for pregnancy care. EMBC Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Stijn Luca, Bart Vanrumste
2019	Misc	`conf`	Privacy preserving pregnancy weight gain management: demo abstract. SenSys Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste
2018	J	`jnl`	Point process models for novelty detection on spatial point patterns and their extremes. Comput. Stat. Data Anal. Stijn Luca, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton
2016	J	`jnl`	One-class classification of point patterns of extremes. J. Mach. Learn. Res. Stijn Luca, David A. Clifton, Bart Vanrumste
2015	—	`conf`	Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly. EMBC Greet Baldewijns, Stijn Luca, William Nagels, Bart Vanrumste, Tom Croonenborghs
2014	J	`jnl`	Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. IEEE J. Biomed. Health Informatics 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
2014	A*	`conf`	Anomaly Detection Using the Poisson Process Limit for Extremes. ICDM Stijn Luca, Peter Karsmakers, Bart Vanrumste
2014	J	`jnl`	Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Artif. Intell. Medicine Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste