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International Conference on Machine Learning, Optimization, and Data Science最新文献

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Adjusted Measures for Feature Selection Stability for Data Sets with Similar Features 具有相似特征的数据集特征选择稳定性的调整度量
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-09-25 DOI: 10.1007/978-3-030-64583-0_19
Andrea Bommert, J. Rahnenführer
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引用次数: 8
Learning more expressive joint distributions in multimodal variational methods 学习多模态变分方法中更具表现力的联合分布
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-09-08 DOI: 10.1007/978-3-030-64583-0_14
S. Nedelkoski, Mihail Bogojeski, O. Kao
{"title":"Learning more expressive joint distributions in multimodal variational methods","authors":"S. Nedelkoski, Mihail Bogojeski, O. Kao","doi":"10.1007/978-3-030-64583-0_14","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_14","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128159251","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
Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data 利用稀疏标注数据的2D+3D CNN训练策略对荧光显微镜下神经元体的语义分割
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-08-31 DOI: 10.1007/978-3-030-64583-0_10
F. Castelli, M. Roffilli, G. Mazzamuto, I. Costantini, L. Silvestri, F. Pavone
{"title":"Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data","authors":"F. Castelli, M. Roffilli, G. Mazzamuto, I. Costantini, L. Silvestri, F. Pavone","doi":"10.1007/978-3-030-64583-0_10","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_10","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125189223","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: 2
An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency 一种高效生成鲁棒深度神经网络模型的集成方法
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-08-31 DOI: 10.1007/978-3-030-95470-3_34
Zhijian Li, Bao Wang, Jack Xin
{"title":"An Integrated Approach to Produce Robust Deep Neural Network Models with High Efficiency","authors":"Zhijian Li, Bao Wang, Jack Xin","doi":"10.1007/978-3-030-95470-3_34","DOIUrl":"https://doi.org/10.1007/978-3-030-95470-3_34","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131164689","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: 2
Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff 法律科技中的启发式搜索:法律案件对法律人员的动态分配
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-07-19 DOI: 10.1007/978-3-030-64580-9_28
M. Ayodele, R. Allmendinger, Nadia Papamichail
{"title":"Heuristic Search in LegalTech: Dynamic Allocation of Legal Cases to Legal Staff","authors":"M. Ayodele, R. Allmendinger, Nadia Papamichail","doi":"10.1007/978-3-030-64580-9_28","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_28","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726162","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
Discovering Travelers' Purchasing Behavior from Public Transport Data 从公共交通数据中发现旅行者的购买行为
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-07-19 DOI: 10.1007/978-3-030-64583-0_63
Francesco Branda, F. Marozzo, D. Talia
{"title":"Discovering Travelers' Purchasing Behavior from Public Transport Data","authors":"Francesco Branda, F. Marozzo, D. Talia","doi":"10.1007/978-3-030-64583-0_63","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_63","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123542657","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
Univariate Time Series Anomaly Labelling Algorithm 单变量时间序列异常标记算法
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-07-19 DOI: 10.1007/978-3-030-64580-9_48
Gideon Mbiydzenyuy
{"title":"Univariate Time Series Anomaly Labelling Algorithm","authors":"Gideon Mbiydzenyuy","doi":"10.1007/978-3-030-64580-9_48","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_48","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115405893","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
Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes 基于Ridge、Lasso和Bayes递归特征消去法的光伏系统多参数选择变量回归
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-07-19 DOI: 10.1007/978-3-030-64580-9_16
Jose Cruz, W. Mamani, Christian Romero, Ferdinand Pineda
{"title":"Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes","authors":"Jose Cruz, W. Mamani, Christian Romero, Ferdinand Pineda","doi":"10.1007/978-3-030-64580-9_16","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_16","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114079074","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
Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers 你能看出来吗?SSNet -情感分类器的生物启发神经网络框架
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-06-23 DOI: 10.1007/978-3-030-95467-3_27
Apostol T. Vassilev, Munawar Hasan, Honglan Jin
{"title":"Can You Tell? SSNet - A Biologically-Inspired Neural Network Framework for Sentiment Classifiers","authors":"Apostol T. Vassilev, Munawar Hasan, Honglan Jin","doi":"10.1007/978-3-030-95467-3_27","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_27","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121146325","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
Learning Objective Boundaries for Constraint Optimization Problems 约束优化问题的学习目标边界
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-06-20 DOI: 10.1007/978-3-030-64580-9_33
Helge Spieker, A. Gotlieb
{"title":"Learning Objective Boundaries for Constraint Optimization Problems","authors":"Helge Spieker, A. Gotlieb","doi":"10.1007/978-3-030-64580-9_33","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_33","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122990960","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
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