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Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions 利用人工智能降低输血溶血反应的风险
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_15
Maya Trutschl, U. Cvek, M. Trutschl
{"title":"Using Artificial Intelligence to Reduce the Risk of Transfusion Hemolytic Reactions","authors":"Maya Trutschl, U. Cvek, M. Trutschl","doi":"10.1007/978-3-031-39059-3_15","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_15","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"143 1","pages":"223-234"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74146315","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
An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning 使用深度学习的早期帕金森病检测的可解释方法
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_22
Lerina Aversano, M. Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone
{"title":"An Explainable Approach for Early Parkinson Disease Detection Using Deep Learning","authors":"Lerina Aversano, M. Bernardi, Marta Cimitile, Martina Iammarino, Antonella Madau, Chiara Verdone","doi":"10.1007/978-3-031-39059-3_22","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_22","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"44 1","pages":"326-339"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75213494","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
Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels 基于随机卷积核的可解释异常时序子序列检测
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_19
Abdallah Amine Melakhsou, M. Batton-Hubert
{"title":"Explainable Abnormal Time Series Subsequence Detection Using Random Convolutional Kernels","authors":"Abdallah Amine Melakhsou, M. Batton-Hubert","doi":"10.1007/978-3-031-39059-3_19","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_19","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"51 1","pages":"280-294"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76030876","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
Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application 迈向公平的人力资源人工智能:设计公平、可靠和透明的人力资源管理应用程序
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_21
Michael Danner, Bakir Hadzic, T. Weber, Xinjuan Zhu, Matthias Rätsch
{"title":"Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application","authors":"Michael Danner, Bakir Hadzic, T. Weber, Xinjuan Zhu, Matthias Rätsch","doi":"10.1007/978-3-031-39059-3_21","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_21","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"20 1","pages":"308-325"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85659001","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
Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch 用于星系形态分类的视觉变压器:微调预训练网络与从零开始训练
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_8
Rahul Kumar, Md Kamruzzaman Sarker, Sheikh Rabiul Islam
{"title":"Vision Transformers for Galaxy Morphology Classification: Fine-Tuning Pre-trained Networks vs. Training from Scratch","authors":"Rahul Kumar, Md Kamruzzaman Sarker, Sheikh Rabiul Islam","doi":"10.1007/978-3-031-39059-3_8","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_8","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"50 1","pages":"115-125"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83677088","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
Graph Neural Networks for Circuit Diagram Pattern Generation 用于电路图模式生成的图形神经网络
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_24
Jaikrishna Manojkumar Patil, Johannes Bayer, A. Dengel
{"title":"Graph Neural Networks for Circuit Diagram Pattern Generation","authors":"Jaikrishna Manojkumar Patil, Johannes Bayer, A. Dengel","doi":"10.1007/978-3-031-39059-3_24","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_24","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"39 1","pages":"351-369"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88906577","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
A Study of Neural Collapse for Text Classification 基于神经崩溃的文本分类研究
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_9
J. Feng, E. Lai, Weihua Li
{"title":"A Study of Neural Collapse for Text Classification","authors":"J. Feng, E. Lai, Weihua Li","doi":"10.1007/978-3-031-39059-3_9","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_9","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"21 1","pages":"126-142"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73882816","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
CSR & Sentiment Analysis: A New Customized Dictionary 企业社会责任与情感分析:一个新的定制词典
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_31
E. Zavarrone, Alessia Forciniti
{"title":"CSR & Sentiment Analysis: A New Customized Dictionary","authors":"E. Zavarrone, Alessia Forciniti","doi":"10.1007/978-3-031-39059-3_31","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_31","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"136 1","pages":"466-479"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80835462","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
A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data 流数据中概念漂移检测的一种新的概率方法
News. Phi Delta Epsilon Pub Date : 2023-01-01 DOI: 10.1007/978-3-031-39059-3_12
Sirvan Parasteh, S. Sadaoui
{"title":"A Novel Probabilistic Approach for Detecting Concept Drift in Streaming Data","authors":"Sirvan Parasteh, S. Sadaoui","doi":"10.1007/978-3-031-39059-3_12","DOIUrl":"https://doi.org/10.1007/978-3-031-39059-3_12","url":null,"abstract":"","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"10 1","pages":"173-188"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81955017","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
A Lightweight Machine Learning Pipeline for LiDAR-simulation 用于激光雷达仿真的轻量级机器学习管道
News. Phi Delta Epsilon Pub Date : 2022-08-05 DOI: 10.5220/0011309100003277
Richard Marcus, Niklas Knoop, B. Egger, M. Stamminger
{"title":"A Lightweight Machine Learning Pipeline for LiDAR-simulation","authors":"Richard Marcus, Niklas Knoop, B. Egger, M. Stamminger","doi":"10.5220/0011309100003277","DOIUrl":"https://doi.org/10.5220/0011309100003277","url":null,"abstract":"Virtual testing is a crucial task to ensure safety in autonomous driving, and sensor simulation is an important task in this domain. Most current LiDAR simulations are very simplistic and are mainly used to perform initial tests, while the majority of insights are gathered on the road. In this paper, we propose a lightweight approach for more realistic LiDAR simulation that learns a real sensor's behavior from test drive data and transforms this to the virtual domain. The central idea is to cast the simulation into an image-to-image translation problem. We train our pix2pix based architecture on two real world data sets, namely the popular KITTI data set and the Audi Autonomous Driving Dataset which provide both, RGB and LiDAR images. We apply this network on synthetic renderings and show that it generalizes sufficiently from real images to simulated images. This strategy enables to skip the sensor-specific, expensive and complex LiDAR physics simulation in our synthetic world and avoids oversimplification and a large domain-gap through the clean synthetic environment.","PeriodicalId":88612,"journal":{"name":"News. Phi Delta Epsilon","volume":"16 1","pages":"176-183"},"PeriodicalIF":0.0,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90183862","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
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