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OpBerg: Discovering Causal Sentences Using Optimal Alignments.

, , , , , and . DaWaK, volume 13428 of Lecture Notes in Computer Science, page 17-30. Springer, (2022)

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Knowledge Source Rankings for Semi-Supervised Topic Modeling., , and . Inf., 13 (2): 57 (2022)Surface Navigation of Alginate Artificial Cells in Mucus Solutions., , , , and . IROS, page 2679-2686. (2023)Source-LDA: Enhancing probabilistic topic models using prior knowledge sources.. CoRR, (2016)Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources., , , and . ICDE, page 411-422. IEEE Computer Society, (2017)Translating literature into causal graphs: Toward automated experiment selection., , , , and . BIBM, page 573-576. IEEE Computer Society, (2017)A Bayesian Topic Model for Human-Evaluated Interpretability., , and . LREC, page 6271-6279. European Language Resources Association, (2022)Experiment Selection in Meta-Analytic Piecemeal Causal Discovery., , , , and . IEEE Access, (2021)Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience., , , , and . Frontiers Neuroinformatics, (2017)OpBerg: Discovering Causal Sentences Using Optimal Alignments., , , , , and . DaWaK, volume 13428 of Lecture Notes in Computer Science, page 17-30. Springer, (2022)Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market., , , , , and . ICDM, page 569-578. IEEE Computer Society, (2015)