Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)最新文献

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Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part II 知识发现与数据挖掘:第27届亚太地区知识发现与数据挖掘学术会议,日本大阪,2023年5月25-28日,会议录,第二部分
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引用次数: 0
Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part IV 知识发现与数据挖掘:第27届亚太地区知识发现与数据挖掘学术会议,日本,大阪,2023年5月25-28日,第四部分
{"title":"Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part IV","authors":"","doi":"10.1007/978-3-031-33383-5","DOIUrl":"https://doi.org/10.1007/978-3-031-33383-5","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87244466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III 知识发现与数据挖掘:第27届亚太地区知识发现与数据挖掘学术会议,日本,2023年5月25-28日,会议录,第三部分
{"title":"Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part III","authors":"","doi":"10.1007/978-3-031-33380-4","DOIUrl":"https://doi.org/10.1007/978-3-031-33380-4","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90878158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III 知识发现与数据挖掘的进展:第26届亚太会议,PAKDD 2022,中国成都,2022年5月16-19日,会议录,第三部分
{"title":"Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part III","authors":"","doi":"10.1007/978-3-031-05981-0","DOIUrl":"https://doi.org/10.1007/978-3-031-05981-0","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77178650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part II 知识发现与数据挖掘的进展:第26届亚太会议,PAKDD 2022,中国成都,2022年5月16-19日,会议录,第二部分
{"title":"Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part II","authors":"","doi":"10.1007/978-3-031-05936-0","DOIUrl":"https://doi.org/10.1007/978-3-031-05936-0","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85377000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I 知识发现与数据挖掘的进展:第26届亚太会议,PAKDD 2022,中国成都,2022年5月16-19日,会议录,第一部分
{"title":"Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I","authors":"","doi":"10.1007/978-3-031-05933-9","DOIUrl":"https://doi.org/10.1007/978-3-031-05933-9","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78743059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data. CrowdTeacher:针对表格数据的噪声答案和特定样本扰动的鲁棒协同教学。
Mani Sotoodeh, Li Xiong, Joyce Ho
{"title":"CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data.","authors":"Mani Sotoodeh, Li Xiong, Joyce Ho","doi":"10.1007/978-3-030-75765-6_15","DOIUrl":"10.1007/978-3-030-75765-6_15","url":null,"abstract":"<p><p>Samples with ground truth labels may not always be available in numerous domains. While learning from crowdsourcing labels has been explored, existing models can still fail in the presence of sparse, unreliable, or differing annotations. Co-teaching methods have shown promising improvements for computer vision problems with noisy labels by employing two classifiers trained on each others' confident samples in each batch. Inspired by the idea of separating confident and uncertain samples during the training process, we extend it for the crowdsourcing problem. Our model, CrowdTeacher, uses the idea that perturbation in the input space model can improve the robustness of the classifier for noisy labels. Treating crowdsourcing annotations as a source of noisy labeling, we perturb samples based on the certainty from the aggregated annotations. The perturbed samples are fed to a Co-teaching algorithm tuned to also accommodate smaller tabular data. We showcase the boost in predictive power attained using CrowdTeacher for both synthetic and real datasets across various label density settings. Our experiments reveal that our proposed approach beats baselines modeling individual annotations and then combining them, methods simultaneously learning a classifier and inferring truth labels, and the Co-teaching algorithm with aggregated labels through common truth inference methods.</p>","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"12713 ","pages":"181-193"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302069/pdf/nihms-1712853.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39221678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I 知识发现和数据挖掘的进展:第25届亚太会议,PAKDD 2021,虚拟事件,2021年5月11-14日,会议录,第一部分
{"title":"Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I","authors":"","doi":"10.1007/978-3-030-75762-5","DOIUrl":"https://doi.org/10.1007/978-3-030-75762-5","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81690303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III 知识发现和数据挖掘的进展:第25届亚太会议,PAKDD 2021,虚拟事件,2021年5月11-14日,会议录,第三部分
{"title":"Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III","authors":"","doi":"10.1007/978-3-030-75768-7","DOIUrl":"https://doi.org/10.1007/978-3-030-75768-7","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90262417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Correction to: Rule Injection-Based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning 修正:基于规则注入的知识图推理生成对抗模仿学习
Sheng Wang, Xiaoying Chen, Shengwu Xiong
{"title":"Correction to: Rule Injection-Based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning","authors":"Sheng Wang, Xiaoying Chen, Shengwu Xiong","doi":"10.1007/978-3-030-75768-7_34","DOIUrl":"https://doi.org/10.1007/978-3-030-75768-7_34","url":null,"abstract":"","PeriodicalId":93245,"journal":{"name":"Advances in knowledge discovery and data mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings. Part II. PAKDD (Conference) (25th : 2021 : Online)","volume":"127 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82251725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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