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Measuring design complexity: an inherited method perspective.

, and . ACM SIGSOFT Softw. Eng. Notes, 34 (4): 1-5 (2009)

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Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games., , , , , , , , , and 1 other author(s). GameSec, volume 9406 of Lecture Notes in Computer Science, page 170-191. Springer, (2015)PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead., , , , , , , and . AI Mag., 37 (2): 47-62 (2016)Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty., , , , , and . AAMAS, page 740-748. ACM, (2016)Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth., , , , , , , , , and . IJCAI, page 5399-5403. ijcai.org, (2018)A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya., , , , , , , and . AAAI, page 14620-14627. AAAI Press, (2023)CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations., , and . KDD, page 577-589. ACM, (2023)Exploring Algorithmic Fairness in Robust Graph Covering Problems., , , , , , and . NeurIPS, page 15750-15761. (2019)Activating the: Modeling Influence Spread in Natural-World Social Networks., , , , and . AAMAS, page 1631-1639. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)Tackling Sequential Attacks in Security Games., , , and . GameSec, volume 11836 of Lecture Notes in Computer Science, page 331-351. Springer, (2019)Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application., , , , , , , , , and . AAMAS, page 150-158. ACM, (2017)