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Multi-Task Learning for Transit Service Disruption Detection.

, , , , and . ASONAM, page 634-641. IEEE Computer Society, (2018)

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Detecting Suspicious Timber Trades., , , , , , , , , and . AAAI, page 13248-13254. AAAI Press, (2020)Redistrict: Designing a Self-Serve Interactive Boundary Optimization System., , , , , and . Conference on Designing Interactive Systems (Companion Volume), page 284-287. ACM, (2023)Multi-Task Learning for Transit Service Disruption Detection., , , , and . ASONAM, page 634-641. IEEE Computer Society, (2018)Feature driven learning framework for cybersecurity event detection., , , , , and . ASONAM, page 196-203. ACM, (2019)Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments., , , , , , , , , and 6 other author(s). WSC, page 774-785. IEEE, (2018)TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade., , , , , , , and . Inf. Vis., 22 (3): 223-245 (July 2023)On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game., , , , , , , , , and 5 other author(s). WSC, page 169-180. IEEE, (2019)illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems., , , , , , and . ACM Trans. Intell. Syst. Technol., 9 (3): 35:1-35:20 (2018)Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework., , , , , , , , , and 9 other author(s). Soc. Netw. Anal. Min., 10 (1): 11 (2020)Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games., , , , , , , , , and 9 other author(s). ASONAM, page 357-364. ACM, (2019)