acm_GE.2019.00012.bib
However, we find that the best approach in the current state-of-the-art works with an accuracy of only 93.4%. Moreover, we discuss the possible harm that gender identification systems might entail due to their [...] 2nd International Workshop on Gender Equality in Software Engineering}, pages = {13–16}, numpages = {4}, keywords = {gender detection, gender equality, gender identification}, location = {Montreal, Quebec …
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