Publikationen von Iyad Rahwan

Rahwan, I., Wobcke, W., Sen, S., & Sugawara, T. (Eds.). (2012). PRIMA 2012: Principles and practice of multi-agent systems. 15th International Conference, Kuching, Sarawak, Malaysia, September 3-7, 2012. Proceedings. Springer. https://doi.org/10.1007/978-3-642-32729-2

Baumann, F., Halpern, D., Procaccia, A. D., Rahwan, I., Shapira, I., & Wüthrich, M. (2024). Optimal engagement-diversity tradeoffs in social media. In WWW '24: Proceedings of the ACM on Web Conference 2024 (pp. 288–299). https://doi.org/10.1145/3589334.3645713

Serna, I., Morales, A., Fierrez, J., Cebrian, M., Obradovich, N., & Rahwan, I. (2020). Algorithmic discrimination: Formulation and exploration in deep learning-based face biometrics. In H. Espinoza, J. Hernández-Orallo, X. C. Chen, S. S. ÓhÉigeartaigh, X. Huang, M. Castillo-Effen, R. Mallah, & J. McDermid (Eds.), Proceedings of the Workshop on Artificial Intelligence Safety (SafeAI 2020): Co-located with 34th AAAI Conference on Artificial Intelligence (AAAI 2020). New York, USA, Feb 7, 2020 (pp. 146–152). RWTH.

Cerutti, F., Toniolo, A., Norman, T. J., Bex, F., Rahwan, I., & Reed, C. (2018). AIF-EL: An OWL2-EL-compliant AIF ontology. In S. Modgil, K. Budzynska, & J. Lawrence (Eds.), Computational models of argument: Proceedings of COMMA 2018 (pp. 455–456). IOS Press. https://doi.org/10.3233/978-1-61499-906-5-455

Dubey, A., Moro, E., Cebrian, M., & Rahwan, I. (2018). MemeSequencer: Sparse matching for embedding image macros. In WWW '18: Proceedings of the 2018 World Wide Web Conference. Lyon, France — April 23 - 27, 2018 (pp. 1225–1235). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3178876.3186021

Epstein, Z., Payne, B. H., Shen, J. H., Hong, C. J., Felbo, B., Dubey, A., Groh, M., Obradovich, N., Cebrian, M., & Rahwan, I. (2018). TuringBox: An experimental platform for the evaluation of AI systems. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) (pp. 5826–5828). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/851

Kim, R., Kleiman-Weiner, M., Abeliuk, A., Awad, E., Dsouza, S., Tenenbaum, J., & Rahwan, I. (2018). A computational model of commonsense moral decision making. In AIES '18: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. New Orleans, LA, USA — February 02 - 03, 2018 (pp. 197–203). ACM. https://doi.org/10.1145/3278721.3278770

Noothigattu, R., Gaikwad, S. 'N. S., Awad, E., Dsouza, S., Rahwan, I., Ravikumar, P., & Procaccia, A. D. (2018). A voting-based system for ethical decision making. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). AAAI Press.

Felbo, B., Mislove, A., Søgaard, A., Rahwan, I., & Lehmann, S. (2017). Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm. In M. Palmer, R. Hwa, & S. Riedel (Eds.), Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, Denmark, September 7–11, 2017 (pp. 1615–1625). Association for Computational Linguistics. https://doi.org/10.18653/v1/D17-1169

Shen, W., Al Khemeiri, A., Almehrzi, A., Al Enezi, W., Rahwan, I., & Crandall, J. W. (2017). Regulating highly automated robot ecologies: Insights from three user studies. In B. Wrede, Y. Nagai, T. Komatsu, M. Hanheide, & L. Natale (Eds.), HAI' 17: Proceedings of the 5th International Conference on Human Agent Interaction (pp. 111–120). ACM.