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The Role of In-Group Bias and Balanced Data: A Comparison of Human and Machine Recidivism Risk Predictions.

, , , and . COMPASS, page 97-104. ACM, (2020)

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The Role of In-Group Bias and Balanced Data: A Comparison of Human and Machine Recidivism Risk Predictions., , , and . COMPASS, page 97-104. ACM, (2020)ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 1043-1056. Association for Computational Linguistics, (2020)Discovering Dense Correlated Subgraphs in Dynamic Networks., , , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 395-407. Springer, (2021)Mining Dense Subgraphs with Similar Edges., , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 20-36. Springer, (2020)I Wish I Would Have Loved This One, But I Didn't - A Multilingual Dataset for Counterfactual Detection in Product Review., , , , and . EMNLP (1), page 7092-7108. Association for Computational Linguistics, (2021)ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks., , , and . ICDM Workshops, page 1114-1117. IEEE, (2019)Finding events in temporal networks: segmentation meets densest subgraph discovery., , , , and . Knowl. Inf. Syst., 62 (4): 1611-1639 (2020)Mining Temporal Networks., and . KDD, page 3225-3226. ACM, (2019)