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What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?

, , , , , , и . KDD, стр. 3981-3991. ACM, (2022)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Другие публикации лиц с тем же именем

Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers., , , , , , и . PAKDD (3), том 13282 из Lecture Notes in Computer Science, стр. 92-104. Springer, (2022)Injecting purpose and trust into data anonymisation., , и . CIKM, стр. 1541-1544. ACM, (2009)Causal Disentanglement for Adversarial Defense., , , и . AI (1), том 14471 из Lecture Notes in Computer Science, стр. 315-327. Springer, (2023)Efficient discovery of de-identification policy options through a risk-utility frontier., , , , и . CODASPY, стр. 59-70. ACM, (2013)Preface: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision., , , , , , , , , и . CDPD, том 218 из Proceedings of Machine Learning Research, стр. 1-2. PMLR, (2023)Mining Differential Dependencies: A Subspace Clustering Approach., , , и . ADC, том 8506 из Lecture Notes in Computer Science, стр. 50-61. Springer, (2014)A relative privacy model for effective privacy preservation in transactional data., , , , и . Concurr. Comput. Pract. Exp., (2019)A hybrid approach to prevent composition attacks for independent data releases., , , , , и . Inf. Sci., (2016)Multi-Label Feature Selection Via Adaptive Label Correlation Estimation., , , , , , и . ACM Trans. Knowl. Discov. Data, 17 (9): 134:1-134:28 (ноября 2023)Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data., , , и . Health Inf. Sci. Syst., 5 (1): 5 (2017)