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T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking., , , , , , , , and . AAAI, page 22276-22284. AAAI Press, (2024)DeltaShield: Information Theory for Human- Trafficking Detection., , , , , , , , and . ACM Trans. Knowl. Discov. Data, 17 (2): 28:1-28:27 (February 2023)CS-JEDI: Required DEI Education, by CS PhD Students, for CS PhD Students., , , and . SIGCSE (1), page 87-93. ACM, (2023)Synchronous Hyperedge Replacement Graph Grammars., , , , and . ICGT, volume 10887 of Lecture Notes in Computer Science, page 20-36. Springer, (2018)TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking., , , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 29 (1): 53-62 (2023)CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs., , , , , , , and . CIKM, page 4509-4515. ACM, (2023)INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection., , , , , , , and . ICDE, page 1116-1127. IEEE, (2021)Exploration of Numerical Precision in Deep Neural Networks., , , and . CoRR, (2018)Community-driven AI: Empowering people through responsible data-driven decision-making., , , , , , , , , and . CSCW Companion, page 532-536. ACM, (2023)VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking., , , , , , , , and . WWW (Companion Volume), page 273-277. ACM, (2022)