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检索条件"任意字段=23rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2022"
101 条 记 录,以下是91-100 订阅
排序:
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active learning  23
Accelerating the Training of Convolutional Neural Networks f...
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23rd IEEE international conference on intelligent Transportation Systems (ITSC)
作者: Chen, Weitao Salay, Rick Sedwards, Sean Abdelzad, Vahdat Czarnecki, Krzysztof Univ Waterloo Waterloo ON Canada
Semantic segmentation is an important perception function for automated driving (AD), but training a deep neural network for the task using supervised learning requires expensive manual labelling. Active learning (AL)... 详细信息
来源: 评论
Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images  23rd
Renal Cell Carcinoma Detection and Subtyping with Minimal Po...
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23rd international conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020
作者: Gao, Zeyu Puttapirat, Pargorn Shi, Jiangbo Li, Chen School of Computer Science and Technology Xian Jiaotong University XianShaanxi710049 China National Engineering Lab for Big Data Analytics Xian Jiaotong University XianShaanxi710049 China
Cancerous region detection and subtyping in whole-slide images (WSIs) are fundamental for renal cell carcinoma (RCC) diagnosis. The main challenge in the development of automated RCC diagnostic systems is the lack of ... 详细信息
来源: 评论
Explainability of intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case
Explainability of Intelligent Transportation Systems using K...
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international conference on intelligent Transportation
作者: Salomón Wollenstein-Betech Christian Muise Christos G. Cassandras Ioannis Ch. Paschalidis Yasaman Khazaeni Division of Systems Engineering Boston University Boston MA USA School of Computing Queen’s University Kingston ON Canada IBM Research AI Cambridge MA USA
Usage of automated controllers which make decisions on an environment are widespread and are often based on black-box models. We use Knowledge Compilation theory to bring explainability to the controller's decisio... 详细信息
来源: 评论
learning-Based Shape Estimation with Grid Map Patches for Realtime 3D Object Detection for automated Driving
Learning-Based Shape Estimation with Grid Map Patches for Re...
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international conference on intelligent Transportation
作者: Hendrik Königshof Christoph Stiller Intelligent Systems and Production Engineering FZI Research Center for Information Technology Karlsruhe Germany Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany
3D object detection serves as a crucial basis of visual perception, motion prediction, and planning for automated driving. To apply an algorithm for this purpose, the detection of all types of road users in real-time ... 详细信息
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Developing a data-driven Modularized Model of a Plug-in Hybrid Electric Bus (PHEB) for Connected and automated Vehicle Applications
Developing a Data-driven Modularized Model of a Plug-in Hybr...
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international conference on intelligent Transportation
作者: Zhouqiao Zhao Zhensong Wei Guoyuan Wu Matthew J. Barth Bourns College of Engineering Center for Environmental Research and Technology (CE-CERT) University of California Riverside CA USA
Shared Electric Connected and automated Vehicles have the potential to improve transportation safety, mobility, and energy efficiency. A plug-in hybrid electric architecture is well suited for developing connected and... 详细信息
来源: 评论
Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM Analysis Approach*
Identifying High Risk Driving Scenarios Utilizing a CNN-LSTM...
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international conference on intelligent Transportation
作者: Rongiie Yu Haoan Ai Zhen Gao Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai China College of Transportation Engineering Tongji University Shanghai China School of Software Engineering Tongji University Shanghai China
High risk driving scenarios are critical for the deployment of highly automated vehicles virtual test. In this study, we have proposed a deep learning method to identify high risk scenarios from the field operation te... 详细信息
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Use Information You Have Never Observed Together: data Fusion as a Major Step Towards Realistic Test Scenarios
Use Information You Have Never Observed Together: Data Fusio...
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international conference on intelligent Transportation
作者: Maximilian Bäumler Linda Dziuba-Kaiser Zian Yin Matthias Lehmann Günther Prokop Faculty of Transport and Traffic Sciences Dresden Institute of Automobile Engineering Dresden Germany Technische Universität Dresden Dresden Germany
Scenario-based testing is a major pillar in the development and effectiveness assessment of automated driving systems. Thereby, test scenarios address different information layers and situations (normal driving, criti... 详细信息
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A Sim2Real Deep learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird’s Eye View
A Sim2Real Deep Learning Approach for the Transformation of ...
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international conference on intelligent Transportation
作者: Lennart Reiher Bastian Lampe Lutz Eckstein Institute for Automotive Engineering (ika) RWTH Aachen University Aachen Germany
Accurate environment perception is essential for automated driving. When using monocular cameras, the distance estimation of elements in the environment poses a major challenge. Distances can be more easily estimated ... 详细信息
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Machine-learning Models for Software Quality: a Compromise Between Performance and Intelligibility
Machine-Learning Models for Software Quality: a Compromise B...
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23rd IEEE international conference on Tools with Artificial Intelligence (ICTAI)
作者: Lounis, Hakim Gayed, Tamer Fares Boukadoum, Mounir Univ Quebec Dept Informat UQAM Montreal PQ H3C 3P8 Canada
Building powerful machine-learning assessment models is an important achievement of empirical software engineering research, but it is not the only one. Intelligibility of such models is also needed, especially, in a ... 详细信息
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data-Driven Prognosis Applied to Complex Vacuum Pumping Systems
Data-Driven Prognosis Applied to Complex Vacuum Pumping Syst...
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23rd international conference on Industrial, engineering and Other Applications of Applied intelligent Systems
作者: Martin, Florent Meger, Nicolas Gahehet, Sylvie Becourt, Nicolas Univ Savoie Polytech Savoie LISTIC Domaine Univ BP80439 F-74944 Annecy Le Vieux France Alcatel Vacuum technol F-74009 Annecy Le Vieux France
This paper presents a method to address system prognosis It also details a successful application to complex vacuum pumping systems The proposed approach relies on an automated data-driven learning process as opposed ... 详细信息
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