IDS Publications
Institute of Data Science
(This listing is a live report generated by PURE)
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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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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@HT (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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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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Tari, H., Khan, D., Rutten, J., Othman, D., Kaushal, R., Bertaglia, T., & Iamnitchi, A. (2024). Leveraging GPT for the Generation of Multi-Platform Social Media Datasets for Research.More information about this publication
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Kaushal, R., Van De Kerkhof, J., Goanta, C., Spanakis, G., & Iamnitchi, A. (2024). Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database. In 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024 (pp. 1121-1132). Association for Computing Machinery. https://doi.org/10.1145/3630106.3658960More information about this publication
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Sijstermans, R., Sun, C., & Hortal, E. (2024). Mitigating Class Imbalance in Time Series with Enhanced Diffusion Models. In J. M. Ferrández Vicente, M. Val Calvo, & H. Adeli (Eds.), Bioinspired Systems for Translational Applications: From Robotics to Social Engineering: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 389-399). Springer Nature. https://doi.org/10.1007/978-3-031-61137-7_36More information about this publication
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Khetharpal, B., Khanooja, A., Verma, A., Ankita, A., & Kaushal, R. (2024). Understanding Influence Operations via Images. In R. Heiberger, U. Gadiraju, M. Spaniol, K. Kinder-Kurlanda, A. Falenska, A. Mashhadi, J. Sun, S. Kaiser, & S. Staab (Eds.), Companion Proceedings of the 16th ACM Web Science Conference, Websci Companion 2024 - Reflecting on the Web, AI and Society (pp. 115-119). Association for Computing Machinery (ACM). https://doi.org/10.1145/3630744.3663612More information about this publication
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de Zegher, I., Norak, K., Steiger, D., Mueller, H., Kalra, D., Scheenstra, B., Cina, I., Shulz, S., Uma, K., Kalendralis, P., Lotmam, E.-M., Benedikt, M., Dumontier, M., & Celebi, R. (2024). Artificial intelligence based data curation: enabling a patient-centric European health data space. Frontiers in medicine, 11, Article 1365501. https://doi.org/10.3389/fmed.2024.1365501More information about this publication
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Dumontier, M., Kirrane, S., Seneviratne, O., Buil-Aranda, C., Lobo, J., & Olmedo, F. (2024). Differential privacy and SPARQL. Semantic web, 15(3), 745-773. https://doi.org/10.3233/SW-233474More information about this publication
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Kirrane, S., Seneviratne, O., & Dumontier, M. (2024). Editorial of the special issue on semantic technologies for data and algorithmic governance. Semantic web, 15(3), 643-645. https://doi.org/10.3233/SW-243615More information about this publication
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Mwenje, E., & Kumar, P. (2024). Challenges for mainstreaming climate adaptation in African cities. A case study of Kigali, Rwanda. Landscape and Urban Planning, 245, Article 105017. https://doi.org/10.1016/j.landurbplan.2024.105017More information about this publication
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Sulis, E., Caro, L. D., & Nanda, R. (2024). Introduction for computer law and security review: special issue "knowledge management for law". Computer Law and Security Review, 52, Article 105949. https://doi.org/10.1016/j.clsr.2024.105949More information about this publication
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Rattay, T., Bologna, G., Bombezin-Domino, A., Cortellessa, G., Dekker, A., Fracasso, F., Joore, M., Pannison, A., Perotti, A., Ramaekers, B. L. T., Rivera, S., Romita, A., Roumen, C., van Soest, J., Traverso, A., Tohidinezhad, F., Verhoeven, K., Webb, A. J., Koutsopoulos, I., ... PRE-ACT Study Consortium (2024). Development of an explainable AI prediction model for arm lymphoedema following breast cancer surgery and radiotherapy. European Journal of Cancer, 200, 19-19. https://doi.org/10.1016/j.ejca.2024.113624More information about this publication
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