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Results: 6
Number of items: 6
  • Open Access
    Tjong Kim Sang, E., Martinez Pandiani, D. S., & Ceolin, D. (2026). Evaluating Locally Run Large Language Models on Toxic Meme Analysis. In H. Verma, A. Bozzon, J. Yang, & A. Mauri (Eds.), Web Engineering: 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30–July 3, 2025 : proceedings (pp. 128-135). (Lecture Notes in Computer Science; Vol. 15749). Springer. https://doi.org/10.1007/978-3-031-97207-2_10
  • Open Access
    Martinez Pandiani, D. S., Tjong Kim Sang, E., & Ceolin, D. (2026). OnToxKG: An Ontology-Based Knowledge Graph of Toxic Symbols and Their Manifestations. In H. Verma, A. Bozzon, J. Yang, & A. Mauri (Eds.), Web Engineering: 25th International Conference, ICWE 2025, Delft, The Netherlands, June 30–July 3, 2025 : proceedings (pp. 119-127). (Lecture Notes in Computer Science; Vol. 15749). Springer. https://doi.org/10.1007/978-3-031-97207-2_9
  • Open Access
    Martinez Pandiani, D. S., Tjong Kim Sang, E., & Ceolin, D. (2025). ‘Toxic’ memes: A survey of computational perspectives on the detection and explanation of meme toxicities. Online Social Networks and Media, 47, Article 100317. https://doi.org/10.1016/j.osnem.2025.100317
  • Ceolin, D., Aroyo, L., & Noordegraaf, J. (2017). Supporting Digital Humanities in Dealing with Quality of Web Documents. In Abstracts DHBenelux 2017 conference: Wednesday 5 July 2017 (pp. 74-77). Utrecht University. https://dhbenelux2017.eu/wp-content/uploads/sites/187/2017/06/Abstracts_DHBenelux_Wednesday.pdf
  • Open Access
    Fokkens, A., ter Braake, S., Maks, I., & Ceolin, D. (2016). On the Semantics of Concept Drift: Towards Formal Definitions of Semantic Change. In L. Hollink, S. Darányi, A. Meroño Peñuela, & E. Kontopoulos (Eds.), Proceedings of the 1st Workshop on Detection, Representation and Management of Concept Drift in Linked Open Data: co-located with the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) : Bologna, Italy, November, 2016 (pp. 10-17). (CEUR Workshop Proceedings; Vol. 1799). CEUR-WS. http://ceur-ws.org/Vol-1799/Drift-a-LOD2016_paper_2.pdf
  • Nottamkandath, A., Oosterman, J., Ceolin, D., de Vries, G. K. D., & Fokkink, W. (2015). Predicting Quality of Crowdsourced Annotations Using Graph Kernels. In C. Damsgaard Jensen, S. Marsh, T. Dimitrakos, & Y. Murayama (Eds.), Trust Management IX: 9th IFIP WG 11.11 International Conference, IFIPTM 2015, Hamburg, Germany, May 26-28, 2015 : proceedings (pp. 134-148). (IFIP Advances in Information and Communication Technology; Vol. 454). Springer. https://doi.org/10.1007/978-3-319-18491-3_10
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