Institute of Data Science
IDS Publications
(This listing is a live report generated by PURE)
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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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Kumar, P., Hendriks, T., Panoutsopoulos, H., & Brewster, C. (2024). Investigating FAIR data principles compliance in horizon 2020 funded Agri-food and rural development multi-actor projects. Agricultural Systems, 214, Article 103822. https://doi.org/10.1016/j.agsy.2023.103822More information about this publication
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Stadler, C., Saleem, M., Mehmood, Q., Buil-Aranda, C., Dumontier, M., Hogan, A., & Ngonga Ngomo, A. C. (2024). LSQ 2.0: A linked dataset of SPARQL query logs. Semantic web, 15(1), 167-189. https://doi.org/10.3233/SW-223015More information about this publication
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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.2023.105829More information about this publication
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Adekunle, O., Riedl, A., & Dumontier, M. (2023). Evidence from Data Science on the relationship between Individual Beliefs: Behaviors Survey during COVID-19 Pandemic and Risk preferences. Advances in Artificial Intelligence and Machine Learning, 3(4), 1800-1824. Article 104. https://doi.org/10.54364/AAIML.2023.11104More information about this publication
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Barbero, F., op den Camp, S., van Kuijk, K., Soto Garcia-Delgado, C., Spanakis, G., & Iamnitchi, A. (2023). Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media. In D. Ceolin, T. Caselli, & M. Tulin (Eds.), Disinformation in Open Online Media: MISDOOM 2023 (pp. 14-28). Springer Nature. https://doi.org/10.1007/978-3-031-47896-3_2More information about this publication
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Bertaglia, T., Bartekova, K., Jongma, R., Mccarthy, S., & Iamnitchi, A. (2023). Sexism in Focus: An Annotated Dataset of YouTube Comments for Gender Bias Research. In OASIS '23: Proceedings of the 3rd International Workshop on Open Challenges in Online Social Networks (pp. 22-28) https://doi.org/10.1145/3599696.3612900More information about this publication
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Horawalavithana, S., De Silva, R., Weerasekara, N., Kin Wai, N. G., Nabeel, M., Abayaratna, B., Elvitigala, C., Wijesekera, P., & Iamnitchi, A. (2023). Vaccination trials on hold: malicious and low credibility content on Twitter during the AstraZeneca COVID-19 vaccine development. Computational and Mathematical Organization Theory, 29(3), 448-469. https://doi.org/10.1007/s10588-022-09370-3More information about this publication
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van Dijck, G., On, D., Snel, J., & Nanda, R. (2023). Retrieving Relevant EU Drone Legislation with Citation Analysis. Drones, 7(8), 1-19. Article 490. https://doi.org/10.3390/drones7080490More information about this publication
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Baltruschat, L. M., Jaiman, V., & Urovi, V. (2023). User acceptability of blockchain technology for enabling electronic health record exchange. Journal of Systems and Information Technology, 25(3), 268-295. https://doi.org/10.1108/JSIT-09-2022-0225More information about this publication
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Sun, C., van Soest, J., & Dumontier, M. (2023). Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. Journal of Biomedical Informatics, 143, Article 104404. https://doi.org/10.1016/j.jbi.2023.104404More information about this publication
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Zabardast, A., Tamer, E. G., Son, Y. A., & Yılmaz, A. (2023). An automated framework for evaluation of deep learning models for splice site predictions. Scientific Reports, 13(1), Article 10221. https://doi.org/10.1038/s41598-023-34795-4More information about this publication
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Iamnitchi, A., Hall, L. O., Horawalavithana, S., Mubang, F., Ng, K. W., & Skvoretz, J. (2023). Modeling information diffusion in social media: data-driven observations. Frontiers in Big Data, 6, Article 1135191. https://doi.org/10.3389/fdata.2023.1135191More information about this publication
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2023). Semantically-Informed Deep Neural Networks For Sound Recognition. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings IEEE. https://doi.org/10.1109/ICASSP49357.2023.10095606More information about this publication
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Naudé, M., Adebayo, K. J., & Nanda, R. (2023). A machine learning approach to detecting fraudulent job types. AI and Society, 38(2), 1013-1024. https://doi.org/10.1007/s00146-022-01469-0More information about this publication
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Frissen, R., Adebayo, K. J., & Nanda, R. (2023). A machine learning approach to recognize bias and discrimination in job advertisements. AI and Society, 38, 1025-1038. https://doi.org/10.1007/s00146-022-01574-0More information about this publication
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Ng, K. W., Mubang, F., Hall, L. O., Skvoretz, J., & Iamnitchi, A. (2023). Experimental evaluation of baselines for forecasting social media timeseries. EPJ Data Science, 12(1), Article 8. https://doi.org/10.1140/epjds/s13688-023-00383-9More information about this publication
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Urovi, V., Celebi, R., Sun, C., Rieswijk, L., Erard, M., Yilmaz, A., Moodley, K., Kumar, P., & Dumontier, M. (2023). TAPS Responsibility Matrix: A tool for responsible data science by design. (pp. 2302.01041v1). https://doi.org/10.48550/arXiv.2302.01041More information about this publication
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Wijngaard, G., Formisano, E., Giordano, B. L., & Dumontier, M. (2023). ACES: Evaluating Automated Audio Captioning Models on the Semantics of Sounds. In 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings (pp. 770-774). IEEE. https://doi.org/10.23919/EUSIPCO58844.2023.10289793More information about this publication
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Sun, C., van Soest, J., & Dumontier, M. (2023). Analyze Decentralized Personal Health Data using Solid, Digital Consent, and Federated Learning. In Semantic Web Applications and Tools for Health Care and Life Sciences 2023 (Vol. 3415, pp. 169-170) https://bbuelens.solidcommunity.net/public/html/SolidSymposium2023_ChangSun.pdfMore information about this publication
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