Publications

Neuen, S. M. L., Ophelders, D. R. M. G., Widowski, H., Hütten, M. C., Brokken, T., van Gorp, C., Nikkels, P. G. J., Severens-Rijvers, C. A. H., Sthijns, M. M. J. P. E., van Blitterswijk, C. A., Troost, F. J., LaPointe, V. L. S., Jolani, S., Seiler, C., Pillow, J. J., Delhaas, T., Reynaert, N. L., & Wolfs, T. G. A. M. (2024). Multipotent adult progenitor cells prevent functional impairment and improve development in inflammation driven detriment of preterm ovine lungs. Regenerative Therapy, 27, 207-217. https://doi.org/10.1016/j.reth.2024.03.014

Kelk, S., Linz, S., & Meuwese, R. (2024). Deep kernelization for the Tree Bisection and Reconnection (TBR) distance in phylogenetics. Journal of Computer and System Sciences, 142, Article 103519. Advance online publication. https://doi.org/10.1016/j.jcss.2024.103519

Schlicher, L., Dietzenbacher, B., & Musegaas, M. (2024). Stable streaming platforms: a cooperative game approach. Omega-International Journal of Management Science, 125, Article 103020. https://doi.org/10.1016/j.omega.2023.103020

Doumanoglou, A., Asteriadis, S., & Zarpalas, D. (2024). Unsupervised Interpretable Basis Extraction for Concept – Based Visual Explanations. IEEE Transactions on Artificial Intelligence, 5(4), 1496-1510. https://doi.org/10.1109/TAI.2023.3338169

Louis, A., van Dijck, G., & Spanakis, G. (2024). Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 22266-22275. https://doi.org/10.1609/aaai.v38i20.30232

Rieger, A., Draws, T., Theune, M., & Tintarev, N. (2024). Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation. Acm Transactions on the Web, 18(2), Article 27. https://doi.org/10.1145/3635034

Laguarta, P., Van der laag, R., Lopez, M., Dooney, T., Miller, A. L., Schmidt, S., Cavaglia, M., Caudill, S., Driessens, K., Karel, J., Lenders, R., & Van den broeck, C. (2024). Detection of anomalies amongst LIGO’s glitch populations with autoencoders. Classical and Quantum Gravity, 41(5), Article 055004. https://doi.org/10.1088/1361-6382/ad1f26

Barile, F., Draws, T., Inel, O., Rieger, A., Najafian, S., Ebrahimi Fard, A., Hada, R., & Tintarev, N. (2024). Evaluating explainable social choice-based aggregation strategies for group recommendation. User Modeling and User-Adapted Interaction, 34(1), 1-58. https://doi.org/10.1007/s11257-023-09363-0

Motamedi, E., Kholgh, D. K., Saghari, S., Elahi, M., Barile, F., & Tkalcic, M. (2024). Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Information Processing & Management, 61(2), Article 103610. https://doi.org/10.1016/j.ipm.2023.103610

Lu, C., Donners, M. M. P. C., de Baaij, J. B. J., Jin, H., Otten, J. J. T., Manca, M., van Zonneveld, A. J., Jukema, J. W., Kraaijeveld, A., Kuiper, J., Pasterkamp, G., Mees, B., Sluimer, J. C., Cavill, R., Karel, J. M. H., Goossens, P., & Biessen, E. A. L. (2024). Identification of a gene network driving the attenuated response to lipopolysaccharide of monocytes from hypertensive coronary artery disease patients. Frontiers in Immunology, 15. https://doi.org/10.3389/fimmu.2024.1286382

Pietrasik, M., Wilbik, A., Grefen, P., Wagner, C., & Magdalena, L. (2024). Breaking Boundaries Initiative: Workshop on Industry-Academia Collaboration. Ieee Computational Intelligence Magazine, 19(1), 16-19. https://doi.org/10.1109/MCI.2023.3332960

LHCb collaboration (2024). Helium identification with LHCb. Journal of Instrumentation, 19(2), Article P02010. Advance online publication. https://doi.org/10.1088/1748-0221/19/02/P02010

Chatzidaki, E., Chioti, V., Mourtou, L., Papavasileiou, G., Kitani, R.-A., Kalafatis, E., Mitsis, K., Athanasiou, M., Zarkogianni, K., Nikita, K., Kanaka-Gantenbein, C., & Pervanidou, P. (2024). Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic. Children-Basel, 11(1), Article 107. https://doi.org/10.3390/children11010107

de Kok, J. W. T. M., van Rosmalen, F., Koeze, J., Keus, F., van Kuijk, S. M. J., Castela Forte, J., Schnabel, R. M., Driessen, R. G. H., van Herpt, T. T. W., Sels, J.-W. E. M., Bergmans, D. C. J. J., Lexis, C. P. H., van Doorn, W. P. T. M., Meex, S. J. R., Xu, M., Borrat, X., Cavill, R., van der Horst, I. C. C., & van Bussel, B. C. T. (2024). Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts. Scientific Reports, 14(1), Article 1045. https://doi.org/10.1038/s41598-024-51699-z

Loesch, J., van Lier, I., de Boer, A., Scholtes, J., Dumontier, M., & Celebi, R. (2024). Automated identification of healthier food substitutions through a combination of graph neural networks and nutri-scores. Journal of Food Composition and Analysis, 125, Article 105829. https://doi.org/10.1016/j.jfca.2023.105829

Wang, T., Karel, J., Invers-Rubio, E., Hernández-Romero, I., Peeters, R., Bonizzi, P., & Guillem, M. S. (2024). Standardized 2D atrial mapping and its clinical applications. Computers in Biology and Medicine, 168, Article 107755. https://doi.org/10.1016/j.compbiomed.2023.107755

Jacobs, P. G., Herrero, P., Facchinetti, A., Vehi, J., Kovatchev, B., Breton, M., Cinar, A., Nikita, K. S., Doyle, F., Bondia, J., Battelino, T., Castle, J. R., Zarkogianni, K., Narayan, R., & Mosquera-Lopez, C. (2024). Artificial intelligence and machine learning for improving glycemic control in diabetes: best practices, pitfalls and opportunities. IEEE Reviews in Biomedical Engineering, 17, 19-41. https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=Artificial%20intelligence%20and%20machine%20learning%20for%20improving%20glycemic%20control%20in%20diabetes:%20best%20practices,%20pitfalls%20and%20opportunities