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Choi, Y. J., Farnadi, G., Babaki, B., & Van Den Broeck, G. (2020, February). Learning fair naive bayes classifiers by discovering and eliminating discrimination patterns [Paper]. 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, NY, USA. External link
Farnadi, G., St-Arnaud, W., Babaki, B., & Carvalho, M. (2021, February). Individual Fairness in Kidney Exchange Programs [Paper]. 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence. External link
Farnadi, G., Babaki, B., & Gendreau, M. (2020, April). A unifying framework for fairness-aware influence maximization [Paper]. WWW '20: The Web Conference 2020, Taipei, Taiwan. Available
Farnadi, G., Babaki, B., & Getoor, L. (2018, February). Fairness in Relational Domains [Paper]. 1st AAAI/ACM Conference on AI, Ethics, and Society (AIES 2018), New Orleans, LA. External link
Srinivasan, S., Babaki, B., Farnadi, G., & Getoor, L. (2019, January). Lifted hinge-loss Markov random fields [Paper]. 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 31st Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2019) and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI 2019), Honolulu, HI. Published in Proceedings of the ... AAAI Conference on Artificial Intelligence, 33(1). External link