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From Novice to Expert Narratives of Dermatological Disease.

, , , , , and . PerCom Workshops, page 131-136. IEEE Computer Society, (2018)

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Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning., , , and . NeurIPS, (2020)Active Learning with Maximum Margin Sparse Gaussian Processes., and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 406-414. PMLR, (2021)Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews., , , , and . ESEC/SIGSOFT FSE, page 558-569. ACM, (2022)A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning., , and . NeurIPS, page 27542-27554. (2021)STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations., , and . AAAI, page 10980-10988. AAAI Press, (2023)Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation., , and . ICWS, page 229-236. IEEE, (2017)A Bayesian learning model for design-phase service mashup popularity prediction., , , and . Expert Syst. Appl., (2020)Presenting and evaluating the impact of experiential learning in computing accessibility education., , , , and . ICSE (SEET), page 49-60. ACM, (2020)From Novice to Expert Narratives of Dermatological Disease., , , , , and . PerCom Workshops, page 131-136. IEEE Computer Society, (2018)Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 40321-40338. PMLR, (2023)