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2020 – today
- 2023
[j10]Matthys Lucas Steyn
, Tertius de Wet, Bernard De Baets, Stijn Luca:
A Nearest Neighbor Open-Set Classifier based on Excesses of Distance Ratios. J. Comput. Graph. Stat. 32(1): 319-328 (2023)- [c11]Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman:
On the Calibration of Probabilistic Classifier Sets. AISTATS 2023: 8857-8870 - [c10]Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste:
Daily Pain Prediction in Workplace Using Gaussian Processes. HEALTHINF 2023: 239-247 - 2022
- [j9]Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca:
Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection. IEEE J. Biomed. Health Informatics 26(12): 6126-6137 (2022) - [i1]Thomas Mortier, Viktor Bengs, Eyke Hüllermeier, Stijn Luca, Willem Waegeman:
On Calibration of Ensemble-Based Credal Predictors. CoRR abs/2205.10082 (2022) - 2021
- [j8]Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste:
LETS: A Label-Efficient Training Scheme for Aspect-Based Sentiment Analysis by Using a Pre-Trained Language Model. IEEE Access 9: 115563-115578 (2021) - [j7]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:
A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care. IEEE Access 9: 160946-160957 (2021) - [j6]Ahmed Youssef Ali Amer, Jean-Marie Aerts, Bart Vanrumste, Stijn Luca:
A Localized Learning Approach Applied to Human Activity Recognition. IEEE Intell. Syst. 36(3): 58-71 (2021) - [c9]Heereen Shim, Dietwig Lowet, Stijn Luca, Bart Vanrumste:
Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. W-NUT 2021: 260-273 - [c8]Chetanya Puri, Gerben Kooijman, Xi Long, Paul Hamelmann, Sima Asvadi, Bart Vanrumste, Stijn Luca:
Feature selection for unbiased imputation of missing values: A case study in healthcare. EMBC 2021: 1911-1915 - [c7]Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste:
Gestational weight gain prediction using privacy preserving federated learning. EMBC 2021: 2170-2174 - 2020
- [j5]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:
Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. Sensors 20(22): 6593 (2020) - [c6]Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers:
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 2020: 145-159 - [c5]Heereen Shim, Stijn Luca, Dietwig Lowet, Bart Vanrumste:
Data augmentation and semi-supervised learning for deep neural networks-based text classifier. SAC 2020: 1119-1126
2010 – 2019
- 2019
- [c4]Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Stijn Luca, Bart Vanrumste:
PREgDICT : Early prediction of gestational weight gain for pregnancy care. EMBC 2019: 4274-4278 - [c3]Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste:
Privacy preserving pregnancy weight gain management: demo abstract. SenSys 2019: 398-399 - 2018
- [j4]Stijn Luca, Marco A. F. Pimentel, Peter J. Watkinson, David A. Clifton:
Point process models for novelty detection on spatial point patterns and their extremes. Comput. Stat. Data Anal. 125: 86-103 (2018) - 2016
- [j3]Stijn Luca, David A. Clifton, Bart Vanrumste:
One-class classification of point patterns of extremes. J. Mach. Learn. Res. 17: 191:1-191:21 (2016) - 2015
- [c2]Greet Baldewijns, Stijn Luca, William Nagels, Bart Vanrumste, Tom Croonenborghs:
Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly. EMBC 2015: 5046-5049 - 2014
- [j2]Stijn Luca, Peter Karsmakers, Kris Cuppens, Tom Croonenborghs, Anouk Van de Vel, Berten Ceulemans, Lieven Lagae, Sabine Van Huffel, Bart Vanrumste:
Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Artif. Intell. Medicine 60(2): 89-96 (2014) - [j1]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:
Accelerometry-Based Home Monitoring for Detection of Nocturnal Hypermotor Seizures Based on Novelty Detection. IEEE J. Biomed. Health Informatics 18(3): 1026-1033 (2014) - [c1]Stijn Luca, Peter Karsmakers, Bart Vanrumste:
Anomaly Detection Using the Poisson Process Limit for Extremes. ICDM 2014: 370-379
Coauthor Index
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