Search results
Results: 12
Number of items: 12
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Brooke, S. J. M., & Martinez Pandiani, D. S. (2026). The Hallucinated Subjects: Gender, Coherence, and the Ontological Politics of Generative AI. In M. Detloff (Ed.), Oxford Intersections. Gender Justice Oxford University Press. https://doi.org/10.1093/9780198960256.003.0045 -
Arteaga, Y., Bonanno, V., Nussbaum, P., Martinez Pandiani, D. S., Pescarin, S., & Sotiropoulou, S. (2026). Perception. 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. 1-28). (Lecture Notes in Computer Science; Vol. 15750). Springer. https://doi.org/10.1007/978-3-032-07792-9_1 -
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 -
Martinez Pandiani, D. S., Streefkerk, E., Naudts, L., & Helm, P. (2026). From Vulnerable Data Subjects to Vulnerabilizing Data Practices: Navigating the Protection Paradox in AI-Based Analyses of Platformized Lives. In ACM FAccT 2026: Proceedings of the 9th annual ACM Conference on Fairness, Accountability, and Transparency : June 25-28, 2026, Montréal, Canada (pp. 106-128). Association for Computing Machinery. https://doi.org/10.1145/3805689.3806735 -
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 -
Sosto, M., Martinez Pandiani, D. S., & Hollink, L. (2026). QueerGen: How LLMs Reflect Societal Norms on Gender and Sexuality in Sentence Completion Tasks. In V. Demberg, K. Inui, & L. Marquez (Eds.), The 19th Conference of the European Chapter of the Association for Computational Linguistics : Findings of EACL 2026: FINDINGS 2026 : March 24-29, 2026 (pp. 4305-4326). Association for Computational Linguistics. https://doi.org/10.18653/v1/2026.findings-eacl.225 -
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 -
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 -
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
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Martinez Pandiani, D. S., Tjong Kim Sang, E., & Ceolin, D. (2024). Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2406.07353
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