Preprints

Journal Articles

[41] Aelbrecht, B. and Luca, S. (2025). Structural time series analysis of extremes. Environmental and Ecological Statistics. Under review.

[40] An, L., De Baets, B., and Luca, S. (2025). The extreme value support measure machine for group anomaly detection. Journal of Computational Statistics and Data Analysis. Under review.

[39] Savery, M. and Luca, S. (2025). Bayesian Optimal Design using integrated presence-only and presence-absence data for occupancy modelling. Bayesian Analysis. Under review.

[38] Ajmal, M., Verwaeren, J., and Luca, S. (2025). Bayesian two-point designs of attributes single-sampling plans. Quality Technology and Quantitative Management. Under review.

[37] Alderweireldt, A., Grootaert, C., Luca, S., Van Nieuwerburgh, F., Rajkovic, A., Van Camp, J., and De Wever, O. (2025). Low-dose chronic exposure to hemin and kynurenine increases metabolic adaptation in a colorectal cancer cell model. The Journal of Nutritional Biochemistry. Under review.

[36] Steyn, M., Wet, T. de, De Baets, B., and Luca, S. (2025). Open-Set Recognition based on Excesses of the Contrastive-Center Loss. Journal of Computational and Graphical Statistics. Under review.

[35] Tefera, Y., Van Baelen, Q., Meire, M., Luca, S., and Karsmakers, P. (2025). Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. International Journal of Prognostics and Health Management. Under review.

[34] Tefera, Y., Luca, S., Woldegebreal, D., and Karsmakers, P. (2025). Estimating Remaining Usable Time of Batteries with Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. IEEE Access. 13, 39380-39393.
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[33] Van Eupen, C., Maes, D., Heremans, S., Swinnen, K., Somers, B., and Luca, S. (2024). Integrating citizen science and multispectral satellite data for multiscale habitat management. Biodiversity and Conservation. 33, 1479-1501.
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[32] Steyn, M., Wet, T. de, De Baets, B., and Luca, S. (2023). A Nearest Neighbor Open-set Classifier on Excesses of Distance Ratios. Journal of Computational and Graphical Statistics. 32(1), 319-328.
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[31] Getachew, M., Boeckx, P., Verheyen, K., Tolassa, K., Tack, A., Hylander, K., Luca, S., Zewdie, B., and De Frenne, P. (2023). Within and among farm variability in coffee quality in smallholder coffee farms in southwest Ethiopia. Agroforestry Systems. 97, 883–905.
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[30] Puri, C., Kooijman, G., Vanrumste, B., and Luca, S. (2022). Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection. IEEE Journal of Biomedical and Health Informatics. 26(12), 6126-6137.
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[29] Bruneel, S., Ho, L., Van Echelpoel, W., Schoeters, A., Raat, H., Moens, T., Bermudez, R., Luca, S., and Goethals, P. (2022). Sampling errors and variability in video transects for assessment of reef fish assemblage structure and diversity. Plos One. 17(7:e0271043).
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[28] Van Eupen, C., Maes, D., Herremans, M., Swinnen, K., Somers, B., and Luca, S. (2022). Species profiles support recommendations for quality filtering of opportunistic citizen science data. Ecological Modelling. 467, 1-11.
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[27] Puri, C., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Hua, J., Huang, N., Ma, H., Jin, Y., Ling, F., Li, G., Zhang, D., Wang, X., Luca, S., and Vanrumste, B. (2021). A personalised bayesian approach for early intervention in gestational weight gain management towards pregnancy care. IEEE Access. 9, 160946-57.
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[26] Shim, H., Lowet, D., Luca, S., and Vanrumste, B. (2021). LETS : a label-efficient training scheme for aspect-based sentiment analysis by using a pre-trained language model. IEEE Access. 9, 115563-78.
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[25] De Cock, A., De Troyer, N., Eurie, M., Garcia Arevalo, I., Van Echelpoel, W., Jacxsens, L., Luca, S., Du Laing, G., Tack, F., Dominguez Granda, L., and P., G. (2021). From mangrove to fork : metal presence in the Guayas Estuary (Ecuador) and commercial mangrove crabs. Foods. 10(8), 115563-78.
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[24] Bruneel, S., Van Echelpoel, W., Ho, L., Raat, H., Schoeters, A., De Troyers, N., Sor, R., Ponton-Cevallos, J., Vandeputte, R., Van der heyden, C., De Saeyer, N., Forio, M., Bermudez, R., Dominguez-Granda, L., Luca, S., Moens, T., and Goethals, P. (2021). Assessing the drivers behind the structure and diversity of fish assemblages associated with rocky shores in the Galapagos archipelago. Journal of Marine Science And Engineering. 9(4), 375.
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[23] Frans, M., Aerts, R., Ceusters, N., Luca, S., and Ceusters, J. (2021). Possibilities of modified atmosphere packaging to prevent the occurrence of internal fruit rot in bell pepper fruit (Capsicum annuum) caused by Fusarium spp. Postharvest Biology and Technology. 178, 111545.
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[22] Van Eupen, C., Maes, D., Herremans, M., Swinnen, K., Somers, B., and Luca, S. (2021). The impact of data quality filtering of opportunistic citizen science data on species distribution model performance. Ecological Modelling. 444, 1-11.
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[21] Amer, A., Aerts, J., Vanrumste, B., and Luca, S. (2021). A localised learning approach applied to human activity recognition. IEEE Intelligent Systems. 36(3), 58-71.
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[20] Amer, A., Wouters, F., Vranken, J., Korte-de Boer, D. de, Smit-Fun, V., Duflot, P., Beaupain, M., Vandervoort, P., Luca, S., Aerts, J., and Vanrumste, B. (2020). Vital Signs Prediction and Early Warning Score Calculation Based on Continuous Monitoring of Hospitalised Patients Using Wearable Technology. Sensors. 20(22), 1-21.
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[19] Bruneel, S., Verhelst, P., Reubens, J., Luca, S., Coeck, J., Moens, T., and Goethals, P. (2020). Combining disciplines: dealing with observed and cryptic animal residencies in passive telemetry data by applying econometric decision-making models. Ecological Modelling. 438, 1-12.
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[18] Luca, S., Vandercappellen, J., and Claes, J. (2020). A web-based tool to design and analyze single- and double-stage acceptance sampling plans. Quality Engineering. 32(1), 58-74.
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[17] Amer, A. A., Vranken, J., Wouters, F., Mesotten, D., Vandervoort, P., Storms, V., Luca, S., Vanrumste, B., and Aerts, J. (2019). Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements. Applied Sciences-Basel. 9(17), 3525.
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[16] Gobert, S. L., Segers, M., Luca, S., Teixeira, R. A., Kuhn, S., Braeke, L., and Thomassen, L. J. (2019). Development of a continuous reactor for emulsion-based microencapsulation of hexyl acetate with a polyuria shell. Journal of Microencapsulation. 36(4), 371-384.
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[15] Ceusters, N., Luca, S., Feil, R., Claes, J., Lunn, J., Van den Ende, W., and Ceusters, J. (2019). Hierarchical clustering reveals unique features in the diel dynamics of metabolites in the CAM orchid Phalaenopsis. Journal of Experimental Botany. 70(12), 3269-3281.
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[14] Frans, M., Moerkens, R., Van Gool, S., Sauviller, C., Van Laethem, S., Luca, S., Aerts, R., Ceusters, J., and Moerkens, R. (2018). Modelling greenhouse climate factors to constrain internal fruit rot (Fusarium spp.) in bell pepper. Journal of Plant Diseases and Protection. 125, 425-432.
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[13] Luca, S. (2018). Modified chain sampling plans for lot inspection by variables and attributes. Journal of Applied Statistics. 45(8), 1447-1464.
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[12] Luca, S., Pimentel, M. F., Watkinson, P., and Clifton, D. (2018). Point process models for novelty detection on spatial point patterns and their extremes. Computational Statistics & Data Analysis. 125, 86-103.
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[11] Wynants, E., Crauwels, S., Lievens, B., Luca, S., Claes, J., Borremans, A., Bruyninckx, L., and Van Campenhout, L. (2017). Effect of post-harvest starvation and rinsing on the microbial numbers and the bacterial community composition of mealworm larvae (Tenebrio molitor). Innovative Food Science & Emerging Technologies. 42, 8-15.
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[10] Luca, S., Clifton, D., and Vanrumste, B. (2016). One-class classification of point patterns of extremes. Journal of Machine Learning Research. 17(191), 1-21.
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[9] Baldewijns, G., Luca, S., Vanrumste, B., and Croonenborghs, T. (2016). Developing a system that can automatically detect health changes using transfer times of older adults. BMC Medical Research Methodology. 16, 1-17.
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[8] Morren, S., Van Dyck, T., Mathijs, F., Luca, S., Cardinaels, R., Moldenaers, P., De Ketelaere, B., and Claes, J. (2015). Applicability of the Foodtexture Puff Device for rheological characterization of viscous food products. Journal of Texture Studies. 46, 94-104.
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[7] Cuppens, K., Karsmakers, P., Van de Vel, A., Bonroy, B., Milosevic, M., Luca, S., Croonenborghs, T., Ceulemans, B., Lagae, L., Van Huffel, S., and Vanrumste, B. (2014). Accelerometer based home monitoring for detection of nocturnal hypermotor seizures based on novelty detection. IEEE Journal of Biomedical and Health Informatics. 18(3), 1026-1033.
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[6] Luca, S., Karsmakers, P., Cuppens, K., Croonenborghs, T., Van de Vel, A., Ceulemans, B., Lagae, L., Van Huffel, S., and Vanrumste, B. (2014). Detecting rare events using extreme value statistics applied to epileptic convulsions in children. Journal of Artificial Intelligence In Medicine. 60(2), 89-96.
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[5] Vandenberghe, E., Choucharina, S., Luca, S., De Baerdemaeker, J., De Ketelaere, B., and Claes, J. (2014). Spatio-temporal gradients of dry matter content and fundamental material parameters of Gouda cheese. Journal of Food Engineering. 142, 31-38.
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[4] Luca, S., Verdyck, M., and Coppens, M. (2014). Using drop out rates to measure the performance of educational institutions. Studies in Educational Evaluation. 40, 43-49.
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[3] Caubergh, M., Dumortier, F., and Luca, S. (2010). Cyclicity of unbounded semi-hyperbolic 2-saddle cycles in polynomial Liénard equations. Discrete Continuous Dynamical Systems. 27(3), 963-980.
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[2] Luca, S., Dumortier, F., Caubergh, M., and Roussarie, R. (2009). Detecting alien limit cycles near a Hamiltonian 2-saddle cycle. Discrete Continuous Dynamical Systems. 25(4), 1081-1108.
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[1] Luca, S. and Dumortier, F. (2009). Limit periodic sets in polynomial Liénard equations. Qualitative Theory of Dynamical systems. 7(2), 339-366.
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Book Chapters

[1] Luca, S., Vuegen, L., Van hamme, H., Karsmakers, P., and Vanrumste, B. (2016). Decision support systems for home monitoring applications: Classification of activities of daily living and epileptic seizures. In: D. Clifton (Ed.), Machine Learning for Healthcare Technologies (pp. 271-291). IET, The Institution of Engineering and Technology, UK, 2016.
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Conference proceedings

[15] 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 the 16th International Joint Conference on Biomedical Engineering Systems and Technologies. Lisbon, Portugal, Feb. 16, 2023-Feb. 18, 2023.
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[14] Mortier, T., Bengs, V., Hüllermeier, E., Luca, S., and Waegeman, W. (2023). On the Calibration of Probabilistic Classifier Sets. In: Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (pp. 8857-8870). Vol. 206. Presented at The 26th International Conference on Artificial Intelligence and Statistics. Valencia, Spain, Apr. 25, 2023-Apr. 27, 2023.
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[13] Shim, H., Lowet, D., Luca, S., and B., V. (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 the 4th Clinical Natural Language Processing Workshop (ClinicalNLP 2022) held at NAACL. Seattle, USA, Jul. 14, 2022.
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[12] Shim, H., Lowet, D., Vanrumste, B., and Luca, S. (2021). Synthetic Data Generation and Multi-Task Learning for Extracting Temporal Information from Health-Related Narrative Text. In: Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021) (pp. 260-273). Presented at the Seventh Workshop on Noisy User-generated Text. Online, Nov. 11, 2021.
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[11] Shim, H., Lowet, D., Vanrumste, B., and Luca, S. (2021). 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, Jun. 06, 2021-Jun. 11, 2021.
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[10] Puri, C., Kooijman, G., Long, X., Hamelmann, P., Asvadi, S., Vanrumste, B., and 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 (EBMC) (pp. 1911-1915). Presented at the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology. Online, Oct. 30, 2021-Nov. 04, 2021.
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[9] Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., and 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 (EBMC) (pp. 2170-2174). Presented at the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology. Online, Oct. 30, 2021-Nov. 04, 2021.
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[8] Tefera, Y., Meire, M., Luca, S., and 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: Communications in Computer and Information Science (pp. 145-159). Vol. 1325. Presented at the IoT Stream for Data Driven Predicted Maintainance workshop at ECML-PKDD. Ghent, Sep. 14, 2020-Sep. 18, 2020.
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[7] Shim, H., Luca, S., Lowet, D., and 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 Republic, Mar. 30, 2020-Apr. 03, 2020.
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[6] Puri, C., Kooijmann, G., Masculo, F., Sambeek, S., Boer, S., Luca, S., and 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, Jul. 23, 2019-Jul. 27, 2019.
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[5] Baldewijns, G., Luca, S., Vanrumste, B., and 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 IEEE Engineering in Medicine and Biology Conference. Milan, Italy, Aug. 01, 2015.
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[4] Van der Meulen, F., Luca, S., Overal, G., Dubbeldam, J., Di Bucchianico, A., and Jongbloed, G. (2014). Modeling a Water Purification Process for Quality Monitoring. In: D. Lahaye (Ed.), Proceedings of the Study Group Mathematics With Industry (pp. 36-52). Presented at the Study Group Mathematics with Industry 2014, Delft, The Netherlands. Delft, The Netherlands, Jan. 27, 2014-Jan. 31, 2014. ISBN: 978-94-6186-306-5.
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[3] Luca, S., Karsmakers, P., and Vanrumste, B. (2014). Anomaly detection using the Poisson process limit for extremes. In: R. Kumar, H. Toivonen, J. Pei, Z. H. and X. Wu (Ed.), IEEE International Conference on Data Mining (pp. 370-379). Presented at the IEEE International Conference on Data Mining, Shenzhen. IEEE, Shenzhen, China, Dec. 14, 2014-Dec. 17, 2014.
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[2] Croonenborghs, T., Luca, S., Karsmakers, P., and Vanrumste, B. (2014). Healthcare decision support systems at home. In: B. Bouchard, A. Bouzouane, S. Giroux, A. Mihailidis and S. Guillet (Ed.), 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, Jul. 27, 2014.
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[1] Vandenberghe, E., Choucharina, S., Luca, S., De Ketelaere, B., De Baerdemaeker, J., and Claes, J. (2013). Spatio-temporal changes of physicochemical parameters during cheese ripening. In: B. Nicolai and L. Piazza (Ed.), InsideFood Symposium: Book of proceedings (pp. 1-6). Presented at the InsideFood Symposium, KU Leuven. Leuven, Belgium, 2013.
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Conference abstracts

[33] Savery, M. and Luca, S. (2024). Bayesian optimal design for species distribution modelling. Presented at the Flanders AI Research day 2024, Ghent, Belgium. Conference presentation. Oct. 2024.
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[32] An, L., De Baets, B., and Luca, S. (2024). Group anomaly detection for optimizing urban planning of rental bike services. Presented at the 26th International Conference on Computational Statistics, Giessen, Germany. Conference presentation. Aug. 2024.
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[31] An, L., De Baets, B., and Luca, S. (2024). Analyzing patterns of extreme heat events in Europe using extreme value theory. Presented at the 6th International Conference on Advances in Extreme Value Analysis and Applications to Natural Hazards, Venice, Italy. Poster presentation. Jul. 2024.
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[30] Ajmal, M., Verwaeren, J., and Luca, S. (2024). A Bayesian risk-based approach to the design of single-sampling plans for attributes. Presented at the 24th annual conference of the European Network for Business and Industrial Statistics (ENBIS), Leuven, Belgium. Conference presentation. Sep. 2024.
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[29] Aelbrecht, B. and Luca, S. (2024). Structural time series analysis for extremes - A parametric smoothing approach for analyzing extremes in a non-stationary environment. Presented at the 31st annual meeting of the Royal Statistical Society of Belgium, Gent, Belgium. Poster presentation. Nov. 2024.

[28] Steyn, M. L., Wet, T. de, De Baets, B., and Luca, S. (2023). Open-Set Recognition with Second-Order Extreme Value Theory. Presented at the Data Science, statistics and visualisation conference, Antwerp, Belgium. Conference presentation. Jul. 2023.
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[27] An, L., De Baets, B., and Luca, S. (2023). An extreme value support measure machine for group anomaly detection. Presented at the IMS International Conference on Statistics and Data Science, Lisbon, Portugal. Conference presentation. Dec. 2023.
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[26] Alderweireldt, E., Grootaert, C., Rajkovic, A., Van Nieuwerburgh, F., Luca, S., Van Camp, J., and De Wever, O. (2023). Effect on colorectal cancer bioenergetics by chronic exposure to red meat metabolites. Presented at the conference on Tumor Heterogeneity, Plasticity and Therapy 2023, Leuven, Belgium. Conference presentation. Oct. 2023.
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[25] Steyn, M. L., Wet, T. de, De Baets, B., and Luca, S. (2022). Open-Set Recognition using Excesses of Distance Ratios. Presented at the 63rd Annual Conference of the South African Statistical Association, George, South Africa. Conference presentation. Nov. 2022.

[24] De Cock, A., Eurie, M., De Troyer, N., Garcia Arevalo, .., Deknock, A., Van Echelpoel, W., Lenin Riascos, F., De Rop, J., Jacxsens, L., Spanoghe, P., Luca, S., Du Laing, G., Tack, F., Dominguez, L., and P., G. (2022). From sediment to consumer : risk assessment of pollutants present in the Guayas Estuary and red mangrove crabs in Ecuador. Presented at the First International Symposium on ONE HEALTH Epigenomes and Microbiomes, Quito, Ecuador. Poster presentation. Sep. 2022.
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[23] De Cock, A., De Troyer, N., Eurie, M., Garcia Arevalo, .., Van Echelpoel, W., Jacxsens, L., Luca, S., Du Laing, G., Tack, F., Dominguez Granda, L., and P., G. (2022). From mangrove to fork : metal presence in the Guayas Estuary (Ecuador) and commercial mangrove crabs. Presented at Aquaculture 2022, San Diego, USA. Poster presentation. Feb. 2022.
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[22] Van Eupen, C., Maes, D., Herremans, M., Swinnen, K., Somers, B., and Luca, S. (2021). Vegetation Structure Impacts Habitat Suitability for Heathland Specialists. Presented at Ecology Across Borders 2021, Liverpool, UK. Poster presentation. Dec. 2021.
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[21] Steyn, M. L., Wet, T. de, De Baets, B., and Luca, S. (2021). Shrinkage Methods for the Estimation of the Extreme Value Index. Presented at the 62nd Annual Conference of the South African Statistical Association, Stellenbosch, South Africa. Conference presentation. Dec. 2021.

[20] Youssef Ali Amer, A., Vranken, J., Mesotten, D., Vandervoort, P., Storms, V., Wouters, F., Luca, S., Vanrumste, B., and Aerts, J. (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, Germany. Conference presentation. Jul. 2019.
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[19] Steyn, M. L., Wet, T. de, De Baets, B., and Luca, S. (2019). Open-Set Recognition with the Generalised Pareto Distribution. Presented at the 61st Annual Conference of the South African Statistical Association, Gqeberha (Port Elizabeth), South Africa. Conference presentation. Nov. 2019.

[18] Shim, H., Lowet, D., Luca, S., and 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. Conference presentation. Jan. 2019.
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[17] Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., and Vanrumste, B. (2019). Pregnancy weight gain estimation with federated learning. Presented at the Annual IEEE EMBS Benelux Chapter Symposium, Brussels, Belgium. Poster presentation. Nov. 2019.

[16] Puri, C., Dolui, K., Kooijman, G., Masculo, F., Van Sambeek, S., Den Boer, S., Michiels, S., Hallez, H., Luca, S., and Vanrumste, B. (2019). Demo Abstract: Privacy preserving Pregnancy Weight Gain Management. Presented at the 17th Conference on Embedded Networked Sensor Systems, New York, USA. Conference presentation. Nov. 2019.
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[15] Luca, S. (2019). Modified chain sampling plans for variables inspection. Presented at the 14th workshop on stochastic models, statistics and their application (SMSA), Dresden, Germany. Conference presentation. Mar. 2019.
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[14] Ceusters, N., Luca, S., Van den Ende, W., and Ceusters, J. (2018). Hierarchical cluster analysis as a tool to compare diel time cycles in CAM research. Presented at The Biology of CAM plants, Phoenix, AZ. Conference presentation. Apr. 2018.
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[13] Luca, S. and Claes, J. (2017). Inspection sampling for high quality processes in food industry. Presented at the Research Day Biochemical & Chemical Engineering - Biosciences, Leuven, Belgium. Poster presentation. Apr. 2017.
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[12] Luca, S. (2017). Acceptance sampling plans for high quality processes. Presented at the Annual conference of the European network for business and industrial statistics (ENBIS), Naples, Italy. Conference presentation. Sep. 2017.
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[11] Luca, S., Clifton, D., and Vanrumste, B. (2016). Extreme Value Analysis for Multivariate Process Monitoring. Presented at the Annual conference of the European network for business and industrial statistics (ENBIS), Sheffield, UK. Conference presentation. Sep. 2016.
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[10] Luca, S., Karsmakers, P., and Vanrumste, B. (2015). Rare event detection in healthcare using extreme value statistics. Presented at the Research Day ESAT & Computer Science Technology Cluster, Leuven, Belgium. Poster presentation. Nov. 2015.
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[9] Cuppens, K., Saey, T., Broeckx, M., Knippels, I., Van den Herrewegen, I., Luca, S., Labey, L., and Peeraer, L. (2015). Determining foot types in healthy and diabetic feet. Presented at the IVO-World Congress 2015, Paris, France. Conference presentation. Mar. 2015.
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[8] Cuppens, K., Knippels, I., Saey, T., Broeckx, M., Van den Herrewegen, I., Luca, S., Creylman, V., Labey, L., and Peeraer, L. (2015). Prediction of clinical foot characteristics using quantitative features from different measurement setups. Presented at the Footwear Biomechanics Symposium 2015, Liverpool, UK. Conference presentation. Jul. 2015.
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[7] Cuppens, K., Knippels, I., Broeckx, M., Saey, T., Van den Herrewegen, I., Luca, S., Labey, L., and Peeraer, L. (2015). Reliability and usage of clinical parameters for foot assessment. Presented at the ISPO World Congress 2015, Lyon, France. Poster presentation. Jun. 2015.
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[6] Saey, T., Knippels, I., Van den herrewegen, I., Luca, S., and Peeraer, L. (2014). Biomechanical foot analysis in clinical practice in Flanders, a survey. Presented at the OT World, Leipzig, Germany. Poster presentation. May. 2014.
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[5] Luca, S., Karsmakers, P., Cuppens, K., Croonenborghs, T., Van de Vel, A., Ceulemans, B., Lagae, L., Van Huffel, S., and Vanrumste, B. (2013). An approach using extreme value statistics to detect rare movement events in a bio-medical dataset. . Presented at the Dutch Bio-Medical Engineering Conference, Egmond aan Zee, The Netherlands. Poster presentation. Jan. 2013.
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[4] Luca, S., Karsmakers, P., Cuppens, K., Croonenborghs, T., Van de Vel, A., Ceulemans, B., Lagae, L., Van Huffel, S., and Vanrumste, B. (2013). An adaptive approach to detect epileptic convulsions in children using extreme value statistics. Presented at the LICT Scientific Symposium on Adaptivity in ICT, Leuven, Belgium. Conference presentation. Jan. 2013.
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[3] Jorissen, G., Gers, A., Corthals, C., Vandervoort, B., Luca, S., Offeciers, H., and Claes, J. (2013). EVESTA: Effect Van Energierijke Substanties Tijdens de Arbeid. Presented at the Accreditation committee, Health Care Department, Lier, Belgium. Poster presentation. Jun. 2013.
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[2] Cuppens, K., Van de Vel, A., Karsmakers, P., Bonroy, B., Milosevic, M., Luca, S., Croonenborghs, T., Tuytelaars, T., Lagae, L., Ceulemans, B., Van Huffel, S., and Vanrumste, B. (2013). Detection of nocturnal convulsive seizures in children by integrating video and accelerometer recordings. Presented at the Dutch Conference on Bio-Medical Engineering, Egmond aan Zee, The Netherlands. Poster presentation. Jan. 2013.
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[1] Luca, S., Karsmakers, P., Croonenborghs, T., Van de Vel, A., Ceulemans, B., Van Huffel, S., and Vanrumste, B. (2012). Detecting hypermotor seizures using extreme value statistics. Presented at the Leuven Statistics Days: Mixed models and modern multivariate methods in linguistics, Leuven, Belgium. Poster presentation. Jun. 2012.
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Science Outreach

[4] Herremans, M., Van den Bussche, R., Luca, S., Van Eupen, C., and Leysen, K. (2022). Wat zeg je? Hoorapparaten om naar vogels te kijken?. Natuur.oriolus. 88(2), 51-58.
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[3] Kennis, E., Boeckx, H., Luca, S., Van Campenhout, L., and Van Der Borght, M. (2017). Insecten als voedsel: Productontwikkeling op basis van halffabricaten. Tijdschrift voor Voeding en Diëtetiek. 43(3), 17-22.
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[2] Decoster, C., Luca, S., Baeyens, A., and Vanrumste, B. (2016). Het personenalarm wordt slimmer: Technologie laat mensen langer thuis wonen. Published online sociaal.net. 2016.

[1] Jannis, K., Luca, S., Sniekers, L., and Vrijsen, D. (2003). Toetsen van hypothesen. Uitwiskeling. 20(1), 2-10.
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PhD theses

[6] Steyn, M. L. (2025). Open-Set Recognition using Extreme Value Theory . PhD thesis. Stellenbosch University and UGent, Stellenbosch, South Africa, Jan. 2025. Joint Phd of Stellenbosch University and UGent, supervised by De Wet, T. (SU), Luca, S. (UGent), De Baets, B. (UGent).

[5] Van Eupen, C. (2023). Integrating opportunistic citizen science data and species distribution models for biodiversity conservation policy and management. PhD thesis. KU Leuven and Ghent University, Leuven, Jun. 2023. Joint Phd of KU Leuven and UGent, supervised by Luca, S., Somers, B. and Maes, D.
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[4] Shim, H. R. (2023). Data-Efficient Methods for Natural Language Processing: Applications in Healthcare. PhD thesis. KU Leuven, Leuven, Jan. 2023. Supervised by Vanrumste, B. (KU Leuven, e-Media), Lowet, D. (Philips Eindhoven) and Luca, S. (UGent).
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[3] Puri, C. (2023). Building personalised machine learning models in health informatics with limited datasets. PhD thesis. KU Leuven, KU Leuven, Leuven, Jan. 2023. Supervised by Vanrumste, B. (KU Leuven, e-Media), Kooijman, G. (Philips Eindhoven) and Luca, S. (UGent).
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[2] Amer, A. Y. A. (2021). Machine Learning for Human Health: From Activity and Vital-Sign Monitoring to Mortality Prediction. PhD thesis. KU Leuven, KU Leuven, Leuven, May. 2021. Supervised by Vanrumste, B. (KU Leuven), Aerts, J.-M. (KU Leuven) and Luca, S. (UGent).
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[1] Luca, S. (2007). Limit periodic sets in polynomial Liénard equations. PhD thesis. UHasselt, Diepenbeek, Hasselt, Dec. 2007. Supervised by Dumortier, F. (UHasselt).
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