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检索条件"机构=Research Center of Machine Learning and Data Analysis"
298 条 记 录,以下是31-40 订阅
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Intelligent Assistant for Multivariant analysis  26
Intelligent Assistant for Multivariant Analysis
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26th International Conference of the Catalan Association for Artificial Intelligence, CCIA 2024
作者: Angerri, Xavier Delgado, Oscar Gibert, Karina Knowledge Engineering and Machine Learning Group Intelligent Data Science and Artificial Intelligence Research Center Universtitat Politècnica de Catalunya Spain
When a Knowledge Discovery from data (KDD) (Fayyad, Piatetsky-Shapiro, & Smyth, 1996) process is being applied to get knowledge, several methods could be used (Gibert, et al., 2018). A simple and fast way to obtai... 详细信息
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Can a bifurcation diagram contain loops?
Can a bifurcation diagram contain loops?
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2021 International Conference "Nonlinearity, Information and Robotics", NIR 2021
作者: Palshin, Gleb P. Ryabov, Pavel E. Sokolov, Sergei V. Financial University Department of Data Analysis and Machine Learning Moscow Russia Moscow Institute of Physics and Technology National Research University Department of Theoretical Mechanics Moscow Region Dolgoprudny Russia
The bifurcation diagram plays a major role in the study of the phase topology of completely Liouville-integrable Hamiltonian systems. In the works of A.T. Fomenko and A.V. Bolsinov, the problem of the permissible form... 详细信息
来源: 评论
Unlocking the potential of digital pathology: Novel baselines for compression
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Journal of Pathology Informatics 2025年 17卷 100421-100421页
作者: Fischer, Maximilian Neher, Peter Schüffler, Peter Ziegler, Sebastian Xiao, Shuhan Peretzke, Robin Clunie, David Ulrich, Constantin Baumgartner, Michael Muckenhuber, Alexander Almeida, Silvia Dias Gőtz, Michael Kleesiek, Jens Nolden, Marco Braren, Rickmer Maier-Hein, Klaus Institute Division of Medical Image Computing German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) partner site Heidelberg Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Medical Faculty Heidelberg University Heidelberg Germany Clinic of Diagnostics and Interventional Radiology Section Experimental Radiology Ulm University Medical Centre Ulm Germany Institute of Pathology TUM School of Medicine and Health Technical University of Munich Munich Germany Department of Diagnostic and Interventional Radiology Faculty of Medicine Technical University of Munich Munich Germany Institute for AI in Medicine (IKIM) University Medicine Essen Essen Germany German Cancer Consortium (DKTK) partner site Essen Essen Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany National Center for Tumor Diseases (NCT) NCT Heidelberg a partnership between DKFZ and University Medical Center Heidelberg Heidelberg Germany Research Campus M2OLIE Mannheim Germany PixelMed Publishing Bangor PA United States Munich Center for Machine Learning Munich Germany Helmholtz Imaging German Cancer Research Center Helmholtz Germany
Digital pathology offers a groundbreaking opportunity to transform clinical practice in histopathological image analysis, yet faces a significant hurdle: the substantial file sizes of pathological whole slide images (... 详细信息
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ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
ProbSAINT: Probabilistic Tabular Regression for Used Car Pri...
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2024 IEEE International Conference on Big data, Bigdata 2024
作者: Madhusudhanan, Kiran Behrens, Gunnar Stubbemann, Maximilian Schmidt-Thieme, Lars University Of Hildesheim Information Systems and Machine Learning Lab Vwfs Data Analytics Research Center Germany Volkswagen Financial Services Ag Data Analytics & Ai Engineering United States
Used car pricing is a critical aspect of the automotive industry, influenced by many economic factors and market dynamics. With the recent surge in online marketplaces and increased demand for used cars, accurate pric... 详细信息
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Opinion mining in social media: Modeling, simulating, and visualizing political opinion formation in the web  11
Opinion mining in social media: Modeling, simulating, and vi...
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12th Annual International Digital Government research Conference: Digital Government Innovation in Challenging Times, dg.o 2011
作者: Kaschesky, Michael Sobkowicz, Pawel Bouchard, Guillaume Bern University of Applied Sciences E-Government Unit Bern Switzerland Xerox Research Center Europe Data Mining and Machine Learning Grenoble France
Affordable and ubiquitous online communications (social media) provide the means for flows of ideas and opinions and play an increasing role for the transformation and cohesion of society - yet little is understood ab... 详细信息
来源: 评论
Deep learning approaches in flow visualization
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Advances in Aerodynamics 2022年 第1期4卷 327-340页
作者: Can Liu Ruike Jiang Datong Wei Changhe Yang Yanda Li Fang Wang Xiaoru Yuan Key Laboratory of Machine Perception(Ministry of Education) and School of AIPeking UniversityBeijingChina China Aerodynamics Research and Development Center MianyangChina National Engineering Laboratory for Big Data Analysis and Application Peking UniversityBeijingChina
With the development of deep learning(DL)techniques,many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL *** reviewed the approaches to deep learning technology i... 详细信息
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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
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Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers
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Heliyon 2025年 第2期11卷 e41656页
作者: Milling, Manuel Rampp, Simon D.N. Triantafyllopoulos, Andreas Plaza, Maria P. Brunner, Jens O. Traidl-Hoffmann, Claudia Schuller, Björn W. Damialis, Athanasios CHI – Chair of Health Informatics MRI Technical University of Munich Munich Germany MCML–Munich Center for Machine Learning Germany EIHW – Chair of Embedded Intelligence for Health Care & Wellbeing University of Augsburg Augsburg Germany Institute of Environmental Medicine and Integrative Health Faculty of Medicine University Clinic of Augsburg & University of Augsburg Augsburg Germany Institute of Environmental Medicine Helmholtz Center Munich German Research Center for Environmental Health Germany Faculty of Business and Economics and Faculty of Medicine University of Augsburg Augsburg Germany Department of Technology Management and Economics Technical University of Denmark Denmark Next Generation Technology Region Zealand Denmark Christine Kühne Center for Allergy Research and Education Davos Switzerland MDSI–Munich Data Science Institute Germany GLAM–the Group on Language Audio & Music Imperial College London London United Kingdom Terrestrial Ecology and Climate Change Department of Ecology School of Biology Faculty of Sciences Aristotle University of Thessaloniki Thessaloniki Greece
Deep-learning-based classification of pollen grains has been a major driver towards automatic monitoring of airborne pollen. Yet, despite an abundance of available datasets, little effort has been spent to investigate... 详细信息
来源: 评论
Stochastic Principles of Optimality in Games with Nature and Their Application in Investment Management  14
Stochastic Principles of Optimality in Games with Nature and...
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14th International Conference Management of Large-Scale System Development, MLSD 2021
作者: Gorelik, Victor Zolotova, Tatiana Moscow Pedagogical State University Department of Simulation Systems and Operations Research FRC CSC RAS Moscow Russia Financial University Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
The principle of optimality in decision-making for games with nature, based on assessments of efficiency and risk, is proposed. In contrast to the traditional approach to the definition of a mixed strategy in game the... 详细信息
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Towards Highly Efficient Anomaly Detection for Predictive Maintenance  23
Towards Highly Efficient Anomaly Detection for Predictive Ma...
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23rd IEEE International Conference on machine learning and Applications, ICMLA 2024
作者: Klüttermann, Simon Peka, Vanlal Doebler, Philipp Müller, Emmanuel Tu Dortmund University Dortmund Germany Lamarr Institute for Machine Learning and Artificial Intelligence Dortmund Germany Research Center Trustworthy Data Science and Security Dortmund Germany
This paper introduces SEAN, a novel anomaly detection algorithm designed for real-time applications in predictive maintenance. SEAN leverages an ensemble-based approach to deliver competitive performance while drastic... 详细信息
来源: 评论