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Identifying Student Misunderstandings using Constructed Responses.

, , , , и . L@S, стр. 153-156. ACM, (2016)

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Generative Models as a Robust Alternative for Image Classification: Progress and Challenge.. University of California, Berkeley, USA, (2021)Research Tools, Survey Responses, and Interview Analysis from a Case Study of Onboarding Software Teams at Microsoft., , , и . ICSE (Companion Volume), стр. 224. IEEE, (2021)Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks., , , , и . CoRR, (2021)Identifying Student Misunderstandings using Constructed Responses., , , , и . L@S, стр. 153-156. ACM, (2016)Teamscope: Scalable Team Evaluation via Automated Metric Mining for Communication, Organization, Execution, and Evolution., , и . L@S, стр. 249-252. ACM, (2017)Taking Advantage of Scale by Analyzing Frequent Constructed-Response, Code Tracing Wrong Answers., , , , , , и . ICER, стр. 56-64. ACM, (2017)Scalable Team-Based Software Engineering Education via Automated Systems., , , , , и . LWMOOCS, стр. 144-146. IEEE, (2018)In-class coding-based summative assessments: tools, challenges, and experience., , , и . ITiCSE, стр. 75-80. ACM, (2018)A Case Study of Onboarding in Software Teams: Tasks and Strategies., , , и . ICSE, стр. 613-623. IEEE, (2021)E-ABS: Extending the Analysis-By-Synthesis Robust Classification Model to More Complex Image Domains., и . AISec@CCS, стр. 25-36. ACM, (2020)