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0 1 & 2 2 O T U - ???????????A2710?(2807). ????? ?????????234744?. ????? ???? ?315-0001 ????????1-1-8. ???? ???? ... E-01 E-01 E-01 E-01 E-01 E-01 - ????????????????????????. ?? ... ????????????????????????? ... ?????????????????????????. ?????????????. ????????????????????????? ?. ?????????????????? ?. ?????????? ... ?? 22 ????????? - ??????????????????????????????????????????????????? ?????????????????????????????????? ... ??????????????? - ???????????????????????????????????????????????. ???????????????????????????????????? ... ?????????????... ???????? 2 ?????????????pH,SS,BOD,CODMn??????? ... ?????? 4kl?? ??????. ?????. ?????? 6 m3?? ? ... ????????????? - ???????????????????????????????????????????????. ???????????????????????????????? (3) ... ????????????????????? - ?????????????????(?????11???). ???????????????????1??. ??????????? (??)??????. ???)??????????? Explainable and interpretable artificial intelligence in medicineFig. 1. This figure shows length of response time versus explanation detail. We populate the figure with four illustrative cases: emergency ... Explainable Manufacturing Artificial Intelligence - XMANAIExplain- able artificial intelligence (XAI) methods aim to evaluate models, identify biases, and clarify model decisions. We propose an agnostic XAI method ... Explainable machine learning models with privacy - DiVA PortalAbstract. A large set of the explainable Artificial Intelligence (XAI) literature is emerging on feature relevance techniques. Explainable AI (XAI) Applied in Machine Learning for Pain ModelingArtificial Intelligence (AI) is 'the theory and development of computer systems able to perform tasks that normally require human intelligence, ...
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