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Progress in Artificial Intelligence最新文献

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Experimental analysis of machine learning methods for credit score classification 信用评分分类的机器学习方法的实验分析
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-03-15 DOI: 10.1007/s13748-021-00238-2
Diwakar Tripathi, D. Edla, Annushree Bablani, A. Shukla, B. Reddy
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引用次数: 9
Dynamic feature weighting for multi-label classification problems 多标签分类问题的动态特征加权
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-03-09 DOI: 10.1007/s13748-021-00237-3
Maryam Dialameh, A. Hamzeh
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引用次数: 0
Fault diagnosis under uncertain situations within a Bayesian knowledge-intensive CBR system 贝叶斯知识密集CBR系统中不确定情况下的故障诊断
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-03-04 DOI: 10.1007/s13748-020-00227-x
H. Nikpour, A. Aamodt
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引用次数: 4
Classifying multiclass imbalanced data using generalized class-specific extreme learning machine 利用广义类特定极值学习机对多类不平衡数据进行分类
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-03-04 DOI: 10.1007/s13748-021-00236-4
Bhagat Singh Raghuwanshi, Sanyam Shukla
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引用次数: 2
Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection 混合EPC:一种具有交叉和变异算子的帝企鹅群体算法及其在社区检测中的应用
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-02-16 DOI: 10.1007/s13748-021-00231-9
Sasan Harifi, J. Mohammadzadeh, Madjid Khalilian, S. Ebrahimnejad
{"title":"Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection","authors":"Sasan Harifi, J. Mohammadzadeh, Madjid Khalilian, S. Ebrahimnejad","doi":"10.1007/s13748-021-00231-9","DOIUrl":"https://doi.org/10.1007/s13748-021-00231-9","url":null,"abstract":"","PeriodicalId":46027,"journal":{"name":"Progress in Artificial Intelligence","volume":"10 1","pages":"181 - 193"},"PeriodicalIF":4.2,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13748-021-00231-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43989455","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: 10
Brain tumor segmentation via C-dense convolutional neural network 基于C密集卷积神经网络的脑肿瘤分割
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-02-03 DOI: 10.1007/s13748-021-00232-8
Ye Wang, Jialin Peng, Zhongdao Jia
{"title":"Brain tumor segmentation via C-dense convolutional neural network","authors":"Ye Wang, Jialin Peng, Zhongdao Jia","doi":"10.1007/s13748-021-00232-8","DOIUrl":"https://doi.org/10.1007/s13748-021-00232-8","url":null,"abstract":"","PeriodicalId":46027,"journal":{"name":"Progress in Artificial Intelligence","volume":"10 1","pages":"147 - 156"},"PeriodicalIF":4.2,"publicationDate":"2021-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13748-021-00232-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48013764","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: 7
Active learning approach using a modified least confidence sampling strategy for named entity recognition 使用改进的最小置信度采样策略的主动学习方法用于命名实体识别
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-19 DOI: 10.1007/s13748-021-00230-w
Ankit Agrawal, Sarsij Tripathi, M. Vardhan
{"title":"Active learning approach using a modified least confidence sampling strategy for named entity recognition","authors":"Ankit Agrawal, Sarsij Tripathi, M. Vardhan","doi":"10.1007/s13748-021-00230-w","DOIUrl":"https://doi.org/10.1007/s13748-021-00230-w","url":null,"abstract":"","PeriodicalId":46027,"journal":{"name":"Progress in Artificial Intelligence","volume":"10 1","pages":"113 - 128"},"PeriodicalIF":4.2,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13748-021-00230-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42896947","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: 9
Inference and reasoning in a Bayesian knowledge-intensive CBR system 贝叶斯知识密集型CBR系统中的推理与推理
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-07 DOI: 10.1007/s13748-020-00223-1
H. Nikpour, A. Aamodt
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引用次数: 5
Prescriptive analytics for impulsive behaviour prevention using real-time biometrics 使用实时生物识别技术预防冲动行为的规定性分析
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-06 DOI: 10.1007/s13748-020-00229-9
S. Raychaudhuri, S. Manjunath, C. Srinivasan, N. Swathi, S. Sushma, K. N. Nitin Bhushan, C. Narendra Babu
{"title":"Prescriptive analytics for impulsive behaviour prevention using real-time biometrics","authors":"S. Raychaudhuri, S. Manjunath, C. Srinivasan, N. Swathi, S. Sushma, K. N. Nitin Bhushan, C. Narendra Babu","doi":"10.1007/s13748-020-00229-9","DOIUrl":"https://doi.org/10.1007/s13748-020-00229-9","url":null,"abstract":"","PeriodicalId":46027,"journal":{"name":"Progress in Artificial Intelligence","volume":"10 1","pages":"99 - 112"},"PeriodicalIF":4.2,"publicationDate":"2021-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13748-020-00229-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44921264","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
To recurse or not to recurse: a low-dose CT study 复发或不复发:一项低剂量CT研究
IF 4.2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2021-01-04 DOI: 10.1007/s13748-020-00224-0
S. Bazrafkan, Vincent Van Nieuwenhove, J. Soons, J. De Beenhouwer, Jan Sijbers
{"title":"To recurse or not to recurse: a low-dose CT study","authors":"S. Bazrafkan, Vincent Van Nieuwenhove, J. Soons, J. De Beenhouwer, Jan Sijbers","doi":"10.1007/s13748-020-00224-0","DOIUrl":"https://doi.org/10.1007/s13748-020-00224-0","url":null,"abstract":"","PeriodicalId":46027,"journal":{"name":"Progress in Artificial Intelligence","volume":"10 1","pages":"65 - 81"},"PeriodicalIF":4.2,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13748-020-00224-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45608448","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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Progress in Artificial Intelligence
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