Paper published in full in conference proceedings

[14] Mortier, T., Bengs, V., Hüllermeier, E., Luca, S., Waegeman, W. (2023).
On the Calibration of Probabilistic Classifier Sets.
In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (206, pp.8857-8870).
Presented at The 26th International Conference on Artificial Intelligence and Statistics, Valencia, Spain, 25 Apr 2023 - 27 Apr 2023.
[ PDF ]  [ URL ]
[13] Puri, C., Keyaerts, S., Szymanski, M., Godderis, L., Vanden Abeele, V., Luca, S. and Vanrumste, B. (2023).
Daily Pain Prediction in Workplace using Gaussian Processes.
In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF (pp.239-247).
Presented at 16th International Joint Conference on Biomedical Engineering Systems and Technologies, Lisbon, Portugal, 16 Feb 2023 - 18 Feb 2023.
[ PDF ]  doi: 10.5220/0011611200003414
[12] Shim, H., Lowet, D., Luca, S. and Vanrumste B. (2022).
An exploratory data analysis : the performance differences of a medical code prediction system on different demographic groups.
In Proceedings of the 4th Clinical Natural Language Processing Workshop (pp. 93-102).
Presented at 4th Clinical Natural Language Processing Workshop (ClinicalNLP 2022) held at NAACL, Seatlle, 14 July 2022.
[ PDF ]  doi: 10.18653/v1/2022.clinicalnlp-1.10
[11] Puri, C., Kooijman, G., Long, X. Hamelmann, P., Asvadi, S., Vanrumste, B., Luca, S.(2021).
Feature selection for unbiased imputation of missing values : A case study in healthcare.
In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology (pp. 1911-1915).
Presented at the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology, Online, 30 Oct 2021-04 Nov 2021.
[ PDF ]  doi: 10.1109/embc46164.2021.9630762
[10] Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., Vanrumste, B. (2021).
Gestational weight gain prediction using privacy preserving federated learning.
In 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology (pp. 2170-2174).
Presented at the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology, Czech Tech Univ, 30 Oct 2021-04 Nov 2021.
[ PDF ]  doi: 10.1109/embc46164.2021.9630505
[9] Shim, H., Lowet, D., Vanrumste, B., Luca, S.(2020).
Building blocks of a task-oriented dialogue system in the healthcare domain.
In Proceedings of the Second Workshop on Natural Language Processing for Medical Conversations (pp. 47-57).
Presented at the North American Chapter of the Association for Computational Linguistics, Online, 6 June 2021.
[ PDF ]  doi: 10.18653/v1/2021.nlpmc-1.7
[8] Tefera, Y., Meire, M., Luca, S., Karsmakers, P. (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.

In Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC'20) (pp. 1119-1126).
Presented at the 35th Annual ACM Symposium on Applied Computing (SAC), Czech Tech Univ, 30 Mar 2020-03 Apr 2020.
[ PDF ]  doi: 10.1007/978-3-030-66770-2_11
[7] Shim, H., Luca, S., Lowet, D., Vanrumste, B. (2020).
Data Augmentation and Semi-supervised Learning for Deep Neural Networks-based Text Classifier.
In Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC'20) (pp. 1119-1126).
Presented at the 35th Annual ACM Symposium on Applied Computing (SAC), Czech Tech Univ, 30 Mar 2020-03 Apr 2020.
[ PDF ]   doi: 10.1145/3341105.3373992
[6] Puri, C., Kooijmann, G., Masculo, F., Sambeek, S.V., Boer, S.D., Luca, S., Vanrumste, B. (2019).
PREgDICT : Early prediction of gestational weight gain for pregnancy care.
In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 4274-4278).
Presented at the IEEE Engineering in Medicine and Biology Conference, Berlin, Germany, 23 Jul 2019-27 Sep 2019.
[ PDF ]   doi: 10.1109/EMBC.2019.8857306
[5] Baldewijns, G., Luca, S., Vanrumste, B., Croonenborghs, T. (2015).
Automatic detection of health changes using statistical process control techniques on measured transfer times of elderly.
In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5046-5049).
Presented at the EMBC 2015, Milan, Italy, 01 Aug 2015-01 Aug 2015.
[ PDF ]   doi: 10.1109/EMBC.2015.7319525
[4] Croonenborghs, T., Luca, S., Karsmakers, P., Vanrumste, B. (2014).
Healthcare Decision Support Systems at Home.
In B. Bouchard, A. Bouzouane, S. Giroux, A. Mihailidis, S. Guillet (Eds.), Artificial Intelligence Applied to Assistive Technologies and Smart Environments: Papers from the AAAI-14 Workshop. (pp. 9-10).
Presented at the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Quebec, Canada, 27 Jul 2014-27 Jul 2014. .
[ PDF ]   ISBN: 978-1-57735-663-9
[3] Van der Meulen, F., Luca, S., Overal, G., Dubbeldam, J., Di Bucchianico, A., Jongbloed, G. (2014).
Modeling a Water Purification Process for Quality Monitoring.
In D. Lahaye (Eds.), Proceedings of the Study Group Mathematics With Industry. (pp. 36-52).
Presented at the Study Group Mathematics with Industry 2014, Delft, The Netherlands, 27 Jan 2014-31 Jan 2014.
[ PDF ]   ISBN: 978-94-6186-306-5.
[2] Luca, S., Karsmakers, P., Vanrumste, B. (2014).
Anomaly detection using the Poisson process limit for extremes.
In L. O'Conner (Eds.), Proceedings of the 14th IEEE International Conference on Data Mining. (pp. 370-379).
Presented at the IEEE International Conference on Data Mining, Shenzhen, China, 14 Dec 2014-17 Dec 2014.
[ PREPRINT PDF ]   doi: 10.1109/ICDM.2014.12
[1] Vandenberghe, E., Choucharina, S., Luca, S., De Ketelaere, B., De Baerdemaeker, J., Claes, J. (2013).
Spatio-temporal changes of physicochemical parameters during cheese ripening.
In B. Nicolai, L. Piazza (Eds.), InsideFood Symposium: Book of proceedings, (pp. 9-10).
Presented at the InsideFood Symposium, KU Leuven, Belgium, 09 Apr 2013-12 Apr 2013. Leuven.
[ PDF ]

Other conference output (abstracts / presentations / posters)

[8] De Cock, A., De Troyer, N., Eurie, MAF., Garcia Arevalo, I., Van Echelpoel, W., Jacxsens, L., Luca, S., Du Laing, G., Tack, F., Dominguez Granda, L., Goethals P. (2022).
From Mangrove to Fork: Metal Presence in the Guayas Estuary (Ecuador) and Commercial Mangrove Crabs.
Presented at Aquaculture 2022, San Diego, USA, 28 Feb 2022-04 Mar 2022.
[ PDF ]
[7] Van Eupen, C., Maes, D., Herremans, M., Swinnen, K.R.R., Somers, B., Luca, S. (2021)
Vegetation Structure Impacts Habitat Suitability for Heathland Specialists.
Poster Presentation at Ecology Across Borders 2021, Liverpool, UK, 12 Dec 2021-15 Dec 2021.
[ PDF ]
[6] Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., Vanrumste, B. (2019).
Pregnancy weight gain estimation with federated learning.
Presented at the Annual IEEE EMBS Benelux Chapter Symposium, Brussels, Belgium, 28 Nov 2019-29 Nov 2019.
[ URL ]
[5]Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., Vanrumste, B. (2019).
Demo Abstract: Privacy preserving Pregnancy Weight Gain Management.
Presented at the 17th Conference on Embedded Networked Sensor Systems, New York, USA, 10 Nov 2019-13 Nov 2019.
[ PDF ]
[4] Youssef Ali Amer, A., Vranken, J., Mesotten, D., Vandervoort, P., Storms, V., Wouters, F., Luca, S., Vanrumste, B., Aerts, J-M. (2019).
A Machine Learning Approach to Investigate the Predictive Value of Pulse Pressure in ICU Mortality-Risk.
Presented at the Engineering in Medicine and Biology IEEE EMBC 2019, Berlin, 23 Jul 2019-28 Jul 2019.
[ PDF ]
[3] Shim, H.R., Lowet, D., Luca, S., Vanrumste, B. (2019).
From Free Text to Structured Information in Sleep Description Analysis Using Deep Learning Networks.
Presented at the Dutch Bio-Medical Engineering Conference, Egmond aan Zee, the Netherlands, , 24-25 January 2019, Abstract No. 139
[2] Luca, S. (2019).
Modified chain sampling plans for inspection by variables.
Presented at the 14th workshop on stochastic models, statistics and their application (SMSA), Dresden, Germany, 6-8 March, 2019
[1] Ceusters, N., Luca, S., Van den Ende, W., Ceusters, J. (2018).
Hierarchical cluster analysis as a tool to compare diel time cycles in CAM research.
Presented at the The Biology of CAM plants, Phoenix, AZ, 09 Apr 2018-13 Apr 2018.