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检索条件"机构=Machine-Learning and Data Analytics"
237 条 记 录,以下是1-10 订阅
排序:
Self-Supervised learning based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
arXiv
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arXiv 2025年
作者: Wang, Qin Bruns, Benjamin Scharr, Hanno Krajsek, Kai IAS-8: Data Analytics and Machine Learning Forschungszentrum Jülich Germany Forschungszentrum Jülich Germany
The equivariant behaviour of features is essential in many computer vision tasks, yet popular self-supervised learning (SSL) methods tend to constrain equivariance by design. We propose a self-supervised learning appr... 详细信息
来源: 评论
Channel Dependence, Limited Lookback Windows, and the Simplicity of datasets: How Biased is Time Series Forecasting?
arXiv
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arXiv 2025年
作者: Abdelmalak, Ibram Madhusudhanan, Kiran Choi, Jungmin Stubbemann, Maximilian Schmidt-Thieme, Lars Information Science and Machine Learning Lab VWFS Data Analytics Research Center University of Hildesheim Niedersachsen Hildesheim Germany
Time-series forecasting research has converged to a small set of datasets and a standardized collection of evaluation scenarios. Such a standardization is to a specific extent needed for comparable research. However, ...
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Robust and Efficient Writer-Independent IMU-Based Handwriting Recognization
arXiv
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arXiv 2025年
作者: Li, Jindong Hamann, Tim Barth, Jens Kaempf, Peter Zanca, Dario Eskofier, Bjoern Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Germany STABILO International GmbH Germany
Online handwriting recognition (HWR) using data from inertial measurement units (IMUs) remains challenging due to variations in writing styles and the limited availability of high-quality annotated datasets. Tradition... 详细信息
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Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
arXiv
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arXiv 2025年
作者: Salwig, Sebastian Kahlke, Till Hirschberger, Florian Forster, Dennis Lücke, Jörg Carl von Ossietzky University Oldenburg Faculty VI Machine Learning Oldenburg Germany Frankfurt University of Applied Sciences Faculty 3 Data Analytics and AI Frankfurt am Main Germany
Gaussian Mixture Models (GMMs) range among the most frequently used machine learning models. However, training large, general GMMs becomes computationally prohibitive for datasets with many data points N of high-dimen... 详细信息
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Noise filtering approach to improve handwritten digit recognition using customized CNN for Cerebral Palsy individuals
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The European Physical Journal Special Topics 2025年 1-19页
作者: Muthureka, K. Srinivasulu Reddy, U. Janet, B. Machine Learning and Data Analytics Lab Department of Computer Applications National Institute of Technology-Tiruchirappalli Tiruchirappalli India Centre of Excellence (CoE) in Artificial Intelligence National Institute of Technology-Tiruchirappalli Tiruchirappalli India Information Processing Lab Department of Computer Applications Tiruchirappalli India
Automatic recognition of handwritten digits in people with Cerebral Palsy (CP) is a serious challenge that requires advancements in data preparation for improved predictive accuracy. The disorganized digit pixel patte...
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CROSS-TECHNOLOGY GENERALIZATION IN SYNTHESIZED SPEECH DETECTION: EVALUATING AST MODELS WITH MODERN VOICE GENERATORS
arXiv
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arXiv 2025年
作者: Ustinov, Andrew Yordanov, Matey Kuchma, Andrei Bychkov, Mikhail Department of Machine Learning and Data Analytics ITMO University Russia AI Innovation Hub ANTEI Limited Hong Kong Department of Integrative Systems and Design Hong Kong University of Science and Technology AI Innovation Hub ANTEI Limited Hong Kong
This paper evaluates the Audio Spectrogram Transformer (AST) architecture for synthesized speech detection, with focus on generalization across modern voice generation technologies. Using differentiated augmentation s... 详细信息
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DISCO: Internal Evaluation of Density-Based Clustering
arXiv
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arXiv 2025年
作者: Beer, Anna Krieger, Lena Weber, Pascal Ritzert, Martin Assent, Ira Plant, Claudia Faculty of Computer Science University of Vienna Vienna Austria IAS-8: Data Analytics and Machine Learning Forschungszentrum Jülich Jülich Germany UniVie Doctoral School Computer Science University of Vienna Vienna Austria Data Science @ Uni Vienna University of Vienna Vienna Austria Institute of Computer Science and Campus Institute Data Science University of Göttingen Göttingen Germany Department of Computer Science Aarhus University Aarhus Denmark
In density-based clustering, clusters are areas of high object density separated by lower object density areas. This notion supports arbitrarily shaped clusters and automatic detection of noise points that do not belo... 详细信息
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BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives
arXiv
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arXiv 2025年
作者: Haddadnia, Mohammad Grashoff, Leonie Strieth-Kalthoff, Felix Harvard University Department of Biological Chemistry & Molecular Pharmacology BostonMA United States Harvard University Dana-Farber Cancer Institute Department of Cancer Biology BostonMA United States University of Wuppertal School of Mathematics and Natural Sciences Wuppertal Germany University of Wuppertal Interdisciplinary Center for Machine Learning and Data Analytics Wuppertal Germany
Scientific optimization problems are usually concerned with balancing multiple competing objectives, which come as preferences over both the outcomes of an experiment (e.g. maximize the reaction yield) and the corresp... 详细信息
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Adapting Agricultural Virtual Environments in Game Engines to Improve HPC Accessibility  6th
Adapting Agricultural Virtual Environments in Game Engines ...
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6th Nordic e-Infrastructure Collaboration Conference, NeIC 2024
作者: Baker, Dirk Norbert Bauer, Felix Schnepf, Andrea Scharr, Hanno Riedel, Morris Göbbert, Jens Henrik Hvannberg, Ebba School of Engineering and Natural Sciences University of Iceland Reykjavik Iceland Jülich Supercomputing Centre Forschungszentrum Jülich GmbH Jülich Germany Institute of Bio- and Geosciences 3: Agrosphere Forschungszentrum Jülich GmbH Jülich Germany Institute for Advanced Simulation 8: Data Analytics and Machine Learning Forschungszentrum Jülich GmbH Jülich Germany
E-infrastructures deliver basic supercomputing and storage capabilities but can benefit from innovative higher-level services that enable use-cases in critical domains, such as environmental and agricultural science. ... 详细信息
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VRoot: A VR-Based application for manual root system architecture reconstruction
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Plant Phenomics 2025年 第2期7卷
作者: Baker, Dirk N. Selzner, Tobias Göbbert, Jens Henrik Scharr, Hanno Riedel, Morris Hvannberg, Ebba þóra Schnepf, Andrea Zielasko, Daniel Jülich Supercomputing Centre Forschungszentrum Jülich GmbH Jülich Germany School of Engineering and Natural Sciences University of Iceland Reykjavík Iceland Institute of Bio- and Geosciences 3: Agrosphere Forschungszentrum Jülich GmbH Jülich Germany Institute of Advanced Simulation 8: Data Analytics and Machine Learning Forschungszentrum Jülich GmbH Jülich Germany Human-Computer Interaction Trier University Trier Germany
This article describes an immersive virtual reality reconstruction tool for root system architectures from 3D scans of soil columns. In practical scenarios, experimental conditions will be adapted to fit the need of t... 详细信息
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