Advancing interdisciplinary science for disrupting wildlife trafficking networks 02/27/2023 Proceedings of the National Academy of Sciences Meredith L Gore, Emily Griffin, Bistra Dilkina, Aaron Ferber, Stanley E Griffis, Burcu B Keskin, John Macdonald https://www.pnas.org/doi/full/10.1073/pnas.2208268120
Quantitative Investigation of Wildlife Trafficking Supply Chains: A Review 02/01/2023 Omega Burcu B. Keskin, Emily C. Griffine, Jonathan O. Prell, Bistra Dilkina, Aaron Ferber, John MacDonald, Rowan Hilend, Stanley Griffis, Meredith L. Gore https://www.sciencedirect.com/science/article/pii/S0305048322001876
Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents 09/22/2022 PLOS One Sonya Negriff, Bistra Dilkina, Laksh Matai, Eric Rice https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0274998
ROC ++: Robust Optimization in C ++ 09/06/2022 INFORMS Journal on Computing Phebe Vayanos, Qing Jin, George Elissaios https://pubsonline.informs.org/doi/10.1287/ijoc.2022.1209
Robust Optimization with Decision-Dependent Information Discovery 08/22/2022 Under Review at Management Science Phebe Vayanos, Angelos Georghiou, and Han Yu http://www.optimization-online.org/DB_FILE/2019/09/7375.pdf
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice 08/14/2022 Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu https://dl.acm.org/doi/abs/10.1145/3534678.3542906
Learning Optimal Fair Decision Trees Under review at ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'22), 2022 Nathanael Jo, Sina Aghaei, Jack Benson, Andres Gomez, Phebe Vayanos https://arxiv.org/pdf/2201.09932.pdf
Deadline-aware multi-agent tour planning 07/24/2022 International Joint Conference on Artificial Intelligence (IJCAI) 2022 Workshop on Heuristic Search in Industry Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig https://www.amazon.science/publications/deadline-aware-multi-agent-tour-planning
A Discussion on the Scalability of Heuristic Approximators (Extended Abstract) 07/21/2022 Symposium on Combinatorial Search (SoCS) Sumedh Pendurkar, Taoan Huang, Sven Koenig and Guni Sharon https://taoanhuang.github.io/files/socs22ea.pdf
Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning 06/29/2022 ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) Weizhe Chen, Eshwar Prasad Sivaramakrishnan, Bistra Dilkina https://dl.acm.org/doi/pdf/10.1145/3530190.3534816