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检索条件"机构=Data Analysis and Machine Learning"
199 条 记 录,以下是51-60 订阅
排序:
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
arXiv
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arXiv 2023年
作者: Wu, Chengzhi Pfrommer, Julius Beyerer, Jürgen Li, Kangning Neubert, Boris Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Fraunhofer Center for Machine Learning Fraunhofer IOSB Karlsruhe Germany Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Karlsruhe Germany
We present an improved approach for 3D object detection in point clouds data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method considers the point neighborhood ... 详细信息
来源: 评论
machine learning Technologies for Bakery Management Decisions  24
Machine Learning Technologies for Bakery Management Decision...
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24th International Conference on Digital Signal Processing and its Applications, DSPA 2022
作者: Andriyanov, Nikita Dementiev, Vitaly Tashlinsky, Alexandr Danilov, Andrey Financial University under the Government of the Russian Federation Department of the Data Analysis and Machine Learning Moscow Russia Ulyanovsk State Technical University Department of the Telecommunications Ulyanovsk Russia Ulyanovsk State Technical University Department of the Radio Engineering Ulyanovsk Russia Llc Hlebnitsca Department of the Management Izhevsk Russia
The paper discusses using Deep Stream technologies in tasks for predicting best locations for deployment the bakeries. Such methods provides the calculation of people going through possible bakery and use convolutiona... 详细信息
来源: 评论
Support System for Choosing an Individual Educational Trajectory at Vasyl' Stus Donetsk National University  9
Support System for Choosing an Individual Educational Trajec...
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9th IEEE International Conference on Problems of Infocommunications Science and Technology, PIC S and T 2022
作者: Chaikovskyi, Pavlo Vietrov, Oleh Baiev, Artem Teletska, Yana Strutovskyi, Maksym Vasyl' Stus Donetsk National University Educational and Practical Laboratory of Information Security Vinnytsia Ukraine Vasyl' Stus Donetsk National University Department of Applied Mathematics Vinnytsia Ukraine Vasyl' Stus Donetsk National University Interdepartmental Laboratory of Machine Learning and Intelligent Data Analysis Vinnytsia Ukraine
Members of Interdepartmental laboratory of machine learning and intelligent data analysis Vasyl' Stus Donetsk national university are developing a software that helps students choose minors and other additional su... 详细信息
来源: 评论
Using Convolutional Neural Network to Classify 2D EEG Scalp Topograms during Visual Task  5
Using Convolutional Neural Network to Classify 2D EEG Scalp ...
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5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021
作者: Korchagin, Sergey Maksimenko, Vladimir Hramov, Alexander Department of Data Analysis and Machine Learning Financial University under the Government of the Russian Federation Moscow Russia Institute of Information Technologies Mathematics and Mechanics Lobachevsky State University of Nizhny Novgorod Nizhny Novgorod Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia
we developed an artificial neural network (ANN) classifier to analyze the cortical activity signals during visual information processing. We tested several ANN architectures and chose a convolutional neural network (C... 详细信息
来源: 评论
Forecasting Financial Time Series Based on the Ensemble Method  15
Forecasting Financial Time Series Based on the Ensemble Meth...
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15th International Conference Management of Large-Scale System Development, MLSD 2022
作者: Ivanyuk, Vera Tsvirkun, Anatoly Soloviev, Vladimir Feklin, Vadim Sunchalina, Anna Kravchenko, Oleg Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia Bauman Moscow State Technical University Department of Higher Mathematics Moscow Russia Laboratory of Management of the Development of Large-scale Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia
The study considers methods for forecasting financial time series. We construct an ensemble forecast based on the linear forecast, ETS forecast, and neural forecast methods. Thereupon, we evaluate the quality of the f... 详细信息
来源: 评论
On the Impact of Explanations on Understanding of Algorithmic Decision-Making
arXiv
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arXiv 2023年
作者: Schmude, Timothée Koesten, Laura Möller, Torsten Tschiatschek, Sebastian University of Vienna Faculty of Computer Science Research Network Data Science UniVie Doctoral School Computer Science DoCS Austria University of Vienna Faculty of Computer Science Research Group Visualization and Data Analysis Austria University of Vienna Faculty of Computer Science Research Network Data Science Research Group Visualization and Data Analysis Austria University of Vienna Faculty of Computer Science Research Network Data Science Research Group Data Mining and Machine Learning Austria
Ethical principles for algorithms are gaining importance as more and more stakeholders are affected by "high-risk" algorithmic decision-making (ADM) systems. Understanding how these systems work enables stak... 详细信息
来源: 评论
Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period
Multi-Scale Clinical-Guided Binocular Fusion Framework for P...
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IEEE International Symposium on Biomedical Imaging
作者: Haoshen Li Zifan Chen Jie Zhao Heyun Chen Hexin Dong Mingze Yuan Bin Dong Li Zhang Center for Data Science Peking University China National Engineering Laboratory for Big Data Analysis and Applications Peking University China Peking University Changsha Institute for Computing and Digital Economy China Beijing International Center for Mathematical Research Peking University China Center for Machine Learning Research Peking University China
Hypertension is a major global health concern, linked to various cardiovascular diseases and associated with distinct ocular manifestations. While recent advances in artificial intelligence have enabled accurate diagn... 详细信息
来源: 评论
Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
arXiv
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arXiv 2023年
作者: Schmude, Timothée Koesten, Laura Möller, Torsten Tschiatschek, Sebastian University of Vienna Faculty of Computer Science Research Network Data Science UniVie Doctoral School Computer Science DoCS Austria University of Vienna Faculty of Computer Science Research Group Visualization and Data Analysis Austria University of Vienna Faculty of Computer Science Research Network Data Science Research Group Visualization and Data Analysis Austria University of Vienna Faculty of Computer Science Research Network Data Science Research Group Data Mining and Machine Learning Austria
We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences. We shortly introduce the importance of explaining A... 详细信息
来源: 评论
Methodology for Applying IIoT Architecture to Design IIOT Systems in the Agricultural Sector of the Russian Federation
Methodology for Applying IIoT Architecture to Design IIOT Sy...
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2023 Seminar on Information Computing and Processing, ICP 2023
作者: Makoveichuk, Krystina A. Olifirov, Alexander V. Petrenko, Sergei A. Makoveichuk, Yan T. Kazak, Anatoliy N. Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia V.I. Vernadsky Crimean Federal University Department of Economics and Finance Yalta Russia Saint Petersburg Electrotechnical University 'LETI' Saint Petersburg Department of Information Security Kazan Russia V.I. Vernadsky Crimean Federal University Department of Management and Tourism Business Yalta Russia
The article presents the results of the study of Industrial Internet of Things (IIoT) technologies for the agricultural sector, taking into account international experience for the period 2004 - 2021, and proposes a m... 详细信息
来源: 评论
Application of the Semantic Segmentation Method in the Assessment of Forest Carbon Balance
Application of the Semantic Segmentation Method in the Asses...
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International Conference on Management of Large-Scale System Development (MLSD)
作者: Inna Tulokhonova Svetlana Mikhaylova Soelma Danilova Department of Software Engineering and Artificial Intelligence East Siberia State University of Technology and Management Ulan-Ude Russia Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation Moscow Russia
This article focuses on the problem of human impact on the natural environment and its solution by machine learning methods. The concept of carbon balance is key in assessing climate change on the planet, which is esp...
来源: 评论