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Displaying items by tag: artificial intelligence

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Avvenuti, M., Bellomo, S., Cresci, S., Nizzoli, L., & Tesconi, M. (2020). Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System. Pervasive and Mobile Computing, 101225.

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Berti A., et al. "A survey on good AI: User-Centric AI Design in Healthcare"

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Berti A., et al. "An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in DBT images"

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Carloni G., Berti A., Colantonio S. "The role of causality in explainable artificial intelligence"

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Carloni, G., & Colantonio, S. (2024). Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results. arXiv preprint arXiv:2309.10399.

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Carloni, G., Berti, A., & Colantonio, S. (2024). The role of causality in explainable artificial intelligence. arXiv preprint arXiv:2309.09901.

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Cominelli, L., Mazzei, D., Pieroni, M., Zaraki, A., Garofalo, R., & De Rossi, D. (2015). Damasio’s Somatic Marker for Social Robotics: Preliminary Implementation and Test. In Biomimetic and Biohybrid Systems. Springer International Publishing.

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Fagni, T., Nizzoli, L., Petrocchi, M., & Tesconi, M. (2019). Six Things I Hate About You (in Italian) and Six Classification Strategies to More and More Effectively Find Them. In ITASEC.

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Mazzei, D., Cominelli, L., Lazzeri, N., Zaraki, A., & De Rossi, D. (2014). I-clips brain: A hybrid cognitive system for social robots. In Biomimetic and Biohybrid Systems (pp. 213-224). Springer International Publishing.

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Nizzoli, L., Avvenuti, M., Tesconi, M., & Cresci, S. (2020). Geo-semantic-parsing: AI-powered geoparsing by traversing semantic knowledge graphs. Decision Support Systems, 113346.

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