IDS Publications
Institute of Data Science
(This listing is a live report generated by PURE)
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Esposito, M. (2025). From sound to meaning: Brain-inspired deep neural networks for sound recognition. [Doctoral Thesis, Maastricht University].More information about this publication
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Ibrahim, M., Khalil, Y. A., Amirrajab, S., Sun, C., Breeuwer, M., Pluim, J., Elen, B., Ertaylan, G., & Dumontier, M. (2025). Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. Computers in Biology and Medicine, 189, Article 109834. https://doi.org/10.1016/j.compbiomed.2025.109834More information about this publication
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Urovi, V., & Urovi, V. (2025). Transparency of personal health data sharing and the Digital Services Act. In P. Verduyn (Ed.), SEM Policy Brief Collection: Digitalisation: EU Digital Services Act (pp. 44-53). Maastricht University Press. https://umlib.nl/mup.rep.sem.2501.7More information about this publication
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Yan, Y., Simons, S. O., van Bemmel, L., Reinders, L. G., Franssen, F. M. E., & Urovi, V. (2025). Optimizing MFCC parameters for the automatic detection of respiratory diseases. Applied Acoustics, 228, Article 110299. https://doi.org/10.1016/j.apacoust.2024.110299More information about this publication
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Sun, C., & Dumontier, M. (2025). Generating unseen diseases patient data using ontology enhanced generative adversarial networks. npj Digital Medicine, 8(1), Article 4. https://doi.org/10.1038/s41746-024-01421-0More information about this publication
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Bertaglia, T., Goanta, C., Spanakis, G., & Iamnitchi, A. (2025). Influencer self-disclosure practices on Instagram: A multi-country longitudinal study. Online Social Networks and Media, 45, Article 100298. https://doi.org/10.1016/j.osnem.2024.100298More information about this publication
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Marcos, H., & Nanda, R. (2025). AI & Marine Environmental Policy. Web publication/site https://aimarinepolicy.github.io/More information about this publication
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Wijngaard, G., Formisano, E., Esposito, M., & Dumontier, M. (2025). Audio-Language Datasets of Scenes and Events: A Survey. IEEE Access, 13, 20328-20360. https://doi.org/10.1109/ACCESS.2025.3534621More information about this publication
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Lema, R., Bedoya Vargas, L., Diaz Gonzalez, A., Lachman, J., Maes - Anastasi, A., Kumar, P., Wong, P. H., Amar, S. (Ed.), Cörvers, R. (Ed.), & Mensing, N. (Ed.) (2025). Smallholder Farmers and the Voluntary Carbon Market: A Balancing Act: Navigating Pricing, Co-Benefits, and Challenges. Fair & Smart Data spearhead - Maastricht University.More information about this publication
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Nair, S., & Iamnitchi, A. (2024). Cross-community affinity: A polarization measure for multi-community networks. Online Social Networks and Media, 43-44, Article 100280. https://doi.org/10.1016/j.osnem.2024.100280More information about this publication
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Doan, N. N., Härmä, A., Celebi, R., & Gottardo, V. (2024). A Hybrid Retrieval Approach for Advancing Retrieval-Augmented Generation Systems. In M. Abbas, & A. A. Freihat (Eds.), Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024) (pp. 397-409). Association for Computational Linguistics. https://aclanthology.org/2024.icnlsp-1.41/More information about this publication
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Panoutsopoulos, H., Espejo-Garcia, B., Raaijmakers, S., Wang, X., Fountas, S., & Brewster, C. (2024). Investigating the effect of different fine-tuning configuration scenarios on agricultural term extraction using BERT. Computers and Electronics in Agriculture, 225, Article 109268. https://doi.org/10.1016/j.compag.2024.109268More information about this publication
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Bertaglia, T., Goanta, C., & Iamnitchi, A. (2024). The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement. In OASIS 2024 - Proceedings of the 2024 Workshop on Open Challenges in Online Social Media, Held in conjunction with the 35th ACM Conference on Hypertext and Social Media, HT 2024 (pp. 1-9) https://doi.org/10.1145/3677117.3685005More information about this publication
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2024). Bridging auditory perception and natural language processing with semantically informed deep neural networks. Scientific Reports, 14(1), Article 20994. https://doi.org/10.1038/s41598-024-71693-9More information about this publication
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Yan, Y., Van Bemmel, L., Simons, S. O., & Urovi, V. (2024). Speech-based monitoring of exacerbations in chronic respiratory diseases. European Respiratory Journal, 64, Article PA3986. https://doi.org/10.1183/13993003.congress-2024.PA3986More information about this publication
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Tari, H., Khan, M. D., Rutten, J., Othman, D., Bertaglia, T., Kaushal, R., & Iamnitchi, A. (2024). Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research. In HT: Proceedings of the 35th ACM Conference on Hypertext and Social Media (pp. 337-343) https://doi.org/10.1145/3648188.3675153More information about this publication
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Aghaei, S., Celebi, R., Kreuzthaler, M., & Schulz, S. (2024). From Clinical Information Systems to Personalized Health Knowledge Graphs. Studies in Health Technology and Informatics, 316, 1463-1464. https://doi.org/10.3233/SHTI240689More information about this publication
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Yan, Y., Aljbawi, W., Simons, S., & Urovi, V. (2024). Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data. Exploration of Digital Health Technologies, 2, 202–217. https://doi.org/10.37349/edht.2024.00022More information about this publication
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Gui, H., Bertaglia, T., Goanta, C., de Vries, S., & Spanakis, G. (2024). Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok. https://doi.org/10.48550/arXiv.2407.12451More information about this publication
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Bertaglia, T., Goanta, C., Spanakis, G., & Iamnitchi, A. (2024). Influencer Self-Disclosure Practices on Instagram: A Multi-Country Longitudinal Study.More information about this publication
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