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Results: 7
Number of items: 7
  • Open Access
    Veggi, M., Bonanno, V., Cerato, I., Ciortan, I.-M., Clay, A., Fiorenza, G., Martinez Pandiani, D. S., & Pescarin, S. (2026). Sense of Care in the Design of Digital Heritage Applications. In S. Pescarin, C. Barandoni, A. Clay, G. Papadopoulos, & I. C. A. Sandu (Eds.), Chromatic Visions: Exploring Colour in Art, Archaeology and Digital Realities (Vol. I, pp. 128-161). (Lecture Notes in Computer Science; Vol. 15750). Springer. https://doi.org/10.1007/978-3-032-07792-9_4
  • 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
  • Open Access
    Martinez Pandiani, D. S., Lazzari, N., & Presutti, V. (2024). Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification. In A. Salatino, M. Alam, F. Ongenae, S. Vahdati, A.-L. Gentile, T. Pellegrini, & S. Jiang (Eds.), Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI: Proceedings of the 20th International Conference on Semantic Systems, 17–19 September 2024, Amsterdam, The Netherlands (pp. 68-87). (Studies on the Semantic Web; Vol. 60). IOS Press. https://doi.org/10.3233/SSW240008
  • Martinez Pandiani, D. S. (2024). Bridging the Gap: Decoding Abstract Concepts in Cultural Heritage Images. In F. Moral-Andrés, E. Merino-Gómez, & P. Reviriego (Eds.), Decoding Cultural Heritage: A Critical Dissection and Taxonomy of Human Creativity through Digital Tools (pp. 157-189). Springer. https://doi.org/10.1007/978-3-031-57675-1_8
  • Open Access
    Martinez Pandiani, D. S. (2024). The wicked problem of naming the intangible: Abstract concepts, binary thinking, and computer vision labels. Future Humanities, 2(1-2), Article e11. https://doi.org/10.1002/fhu2.11
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