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Probabilistic fusion of crowds and experts for the search of gravitational waves., , , , and . Knowl. Based Syst., (2023)Machine learning for Gravity Spy: Glitch classification and dataset., , , , , , , and . Inf. Sci., (2018)Knowledge Tracing to Model Learning in Online Citizen Science Projects., , , , , , , , , and 4 other author(s). IEEE Trans. Learn. Technol., 13 (1): 123-134 (2020)Deep multi-view models for glitch classification., , , , , and . ICASSP, page 2931-2935. IEEE, (2017)Direct: Deep Discriminative Embedding for Clustering of Ligo Data., , , , , and . ICIP, page 748-752. IEEE, (2018)Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1534-1551 (2022)Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO., , , , and . CoRR, (2019)CACSE: Context Aware Clustering of Stellar Evolution., , , , , , , , , and 11 other author(s). SSTD, page 157-160. ACM, (2021)Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations., , , , , , , , , and 4 other author(s). CoRR, (2022)Enhancing gravitational-wave science with machine learning., , , , , , , , , and 16 other author(s). Mach. Learn. Sci. Technol., 2 (1): 11002 (2021)