Moscicka, A., Pokonieczny, K., Wilbik, A., & Wabinski, J. (2019). Transport Accessibility of Warsaw: A Case Study. Sustainability, 11(19), [5536]. https://doi.org/10.3390/su11195536

van Loon, S. L. M., Deneer, R., Nienhuijs, S. W., Wilbik, A., Kaymak, U., van Riel, N., Scharnhorst, V., & Boer, A-K. (2020). Metabolic Health Index (MHI): Assessment of Comorbidity in Bariatric Patients Based on Biomarkers. Obesity Surgery, 30(2), 714-724. https://doi.org/10.1007/s11695-019-04244-1

van Loon, S. L. M., Wilbik, A. M., Kaymak, U., van den Heuvel, E. R., Scharnhorst, V., & Boer, A-K. (2018). Improved testing for vitamin B-12 deficiency: correcting MMA for eGFR reduces the number of patients classified as vitamin B-12 deficient. Annals of Clinical Biochemistry, 55(6), 685-692. https://doi.org/10.1177/0004563218778300

Dijkman, R. M., & Wilbik, A. (2017). Linguistic summarization of event logs - A practical approach. Information Systems, 67, 114-125. https://doi.org/10.1016/J.IS.2017.03.009

Alexander, G. L., Wilbik, A. M., Keller, J. M., & Musterman, K. (2014). Generating sensor data summaries to communicate change in elder’s health status. Applied Clinical Informatics, 5(1), 73-84. https://doi.org/10.4338/ACI-2013-07-RA-0050

Wilbik, A., Keller, J. M., & Bezdek, J. C. (2014). Linguistic Prototypes for Data From Eldercare Residents. Ieee Transactions on Fuzzy Systems, 22(1), 110-123. https://doi.org/10.1109/TFUZZ.2013.2249517

Wilbik, A., & Keller, J. M. (2013). A Fuzzy Measure Similarity Between Sets of Linguistic Summaries. Ieee Transactions on Fuzzy Systems, 21(1), 183-189. https://doi.org/10.1109/TFUZZ.2012.2214225

Wilbik, A., Keller, J. M., & Alexander, G. L. (2012). Similarity evaluation of sets of linguistic summaries. International Journal of Intelligent Systems, 27(10), 926-938. https://doi.org/10.1002/INT.21555

Wilbik, A., & Keller, J. M. (2012). A distance metric for a space of linguistic summaries. Fuzzy Sets and Systems, 208, 79-94. https://doi.org/10.1016/J.FSS.2012.03.010

Kacprzyk, J., Wilbik, A., & Zadrozny, S. (2008). Linguistic summarization of time series using a fuzzy quantifier driven aggregation. Fuzzy Sets and Systems, 159(12), 1485-1499. https://doi.org/10.1016/J.FSS.2008.01.025

Yurt, Z. O., Eshuis, R., Wilbik, A., & Vanderfeesten, I. (2022). Context-aware modeling for knowledge-intensive medicinal product development processes. Software and Systems Modeling. https://doi.org/10.1007/s10270-022-01070-5

Khan, A., Thij, M. T., & Wilbik, A. (2022). Vertical Federated Learning: A Structured Literature Review.

Wrede, C., Winands, M. H. M., & Wilbik, A. (2022). Linguistic Summaries as Explanation Mechanism for Classification Problems. Paper presented at The 34rd Benelux Conference on Artificial Intelligence and the 31th Belgian Dutch Conference on Machine Learning, Mechelen, Belgium. https://bnaic2022.uantwerpen.be/wp-content/uploads/BNAICBeNeLearn_2022_submission_6085.pdf

Stallmann, M., & Wilbik, A. (2022). On a Framework for Federated Cluster Analysis. Applied Sciences, 12(20), [10455]. https://doi.org/10.3390/app122010455

Khan, A., ten Thij, M., & Wilbik, A. (2022). Communication-Efficient Vertical Federated Learning. Algorithms, 15(8), [273]. https://doi.org/10.3390/a15080273

Yurt, Z. O., Eshuis, R., Aysolmaz, B., Wilbik, A., & Vanderfeesten, I. T. P. (2022). A Method for Integrated Modeling of KiPs and Contextual Goals. In M. Sellami, P. Ceravolo, H. A. Reijers, W. Gaaloul, & H. Panetto (Eds.), Cooperative Information Systems: 28th International Conference, CoopIS 2022, Bozen-Bolzano, Italy, October 4–7, 2022, Proceedings (pp. 322-332). Springer, Cham. Lecture Notes in Computer Science Vol. 13591 https://doi.org/10.1007/978-3-031-17834-4_20

Aechtner, J., Cabrera, L., Katwal, D., Onghena, P., Valenzuela, D. P., & Wilbik, A. (2022). Comparing User Perception of Explanations Developed with XAI Methods. In 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) IEEE. IEEE International Fuzzy Systems Conference Proceedings https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882743

Chouhan, S., Wilbik, A., & Dijkman, R. (2022). Explanation of Anomalies in Business Process Event Logs with Linguistic Summaries. In 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) IEEE. IEEE International Fuzzy Systems Conference Proceedings https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882673

Wilbik, A. (2022). Federated Learning: A Hype or a Trend?. 9-11. Paper presented at 14th International joint conference on computational intelligence, Valetta, Malta. https://doi.org/10.5220/0011598500003332

Dyczkowski, K., Pckala, B., Szkola, J., & Wilbik, A. (2022). Federated learning with uncertainty on the example of a medical data. In 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE) - Proceedings IEEE. IEEE International Fuzzy Systems Conference Proceedings https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882862