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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21-30 订阅
排序:
DFingerNet: Noise-Adaptive Speech Enhancement for Hearing Aids
arXiv
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arXiv 2025年
作者: Tsangko, Iosif Triantafyllopoulos, Andreas Müller, Michael Schröter, Hendrik Schuller, Björn W. EIHW – Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg Germany CHI – Chair of Health Informatics Technical University of Munich Germany MCML – Munich Center for Machine Learning Munich Germany WS Audiology Research and Development Erlangen Germany GLAM – Group on Language Audio & Music Imperial College London United Kingdom MDSI – Munich Data Science Institute Munich Germany
The DeepFilterNet (DFN) architecture was recently proposed as a deep learning model suited for hearing aid devices. Despite its competitive performance on numerous benchmarks, it still follows a ‘one-size-fits-all’ ... 详细信息
来源: 评论
Preface
Cognitive Technologies
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Cognitive Technologies 2025年 Part F287卷 v-vi页
作者: Schulz, Daniel Bauckhage, Christian Research Center Machine Learning Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS Sankt Nordrhein-Westfalen Augustin Germany Fraunhofer Institute for Intelligent Analysis and Information Systems Sankt Nordrhein-Westfalen Augustin Germany
来源: 评论
Evaluating the Impact of Special Characters on Password Security: a Comparative analysis
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IEEE Network 2025年
作者: He, Daojing Liu, Zhiyong Chan, Sammy Zhou, Beibei Guizani, Mohsen Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Guizhou University State Key Laboratory of Public Big Data Guizhou China Research and Development Center Guangzhou Jingyuan Security Technology Co. Ltd Guangzhou China City University of Hong Kong Kowloon Department of Electrical Engineering Hong Kong Hong Kong Shanghai Urban Construction Vocational College School of Artificial Intelligence Application Shanghai China Machine Learning Department Abu Dhabi United Arab Emirates
Text-based password authentication remains essential for identity verification on internet platforms and blockchain systems. However, as computational power advances, security threats to user passwords have intensifie... 详细信息
来源: 评论
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors
arXiv
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arXiv 2025年
作者: Dia, Noé Yantovski-Barth, M.J. Adam, Alexandre Bowles, Micah Perreault-Levasseur, Laurence Hezaveh, Yashar Scaife, Anna Université de Montréal Montréal Canada Mila - Quebec Artificial Intelligence Institute Montréal Canada Ciela - Montreal Institute for Astrophysical Data Analysis and Machine Learning Montréal Canada Department of Astrophysics University of Oxford Oxford United Kingdom Flatiron Institute Center for Computational Astrophysics New York United States Perimeter Institute Waterloo Canada Trottier Space Institute McGill University Montréal Canada University of Manchester Manchester United Kingdom The Alan Turing Institute United Kingdom
Inferring sky surface brightness distributions from noisy interferometric data in a principled statistical framework has been a key challenge in radio astronomy. In this work, we introduce Imaging for Radio Interferom... 详细信息
来源: 评论
learning Counterfactual Outcomes Under Rank Preservation
arXiv
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arXiv 2025年
作者: Wu, Peng Li, Haoxuan Zheng, Chunyuan Zeng, Yan Chen, Jiawei Liu, Yang Guo, Ruocheng Zhang, Kun School of Mathematics and Statistics Beijing Technology and Business University China Center for Data Science Peking University China School of Mathematical Sciences Peking University China College of Computer Science and Technology Zhejiang University China Computer Science and Engineering University of California Santa Cruz Bolivia ByteDance Research China Department of Philosophy Carnegie Mellon University United States Machine Learning Department Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates
Counterfactual inference aims to estimate the counterfactual outcome at the individual level given knowledge of an observed treatment and the factual outcome, with broad applications in fields such as epidemiology, ec... 详细信息
来源: 评论
WiViPose: A Video-aided Wi-Fi Framework for Environment-Independent 3D Human Pose Estimation
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IEEE Transactions on Multimedia 2025年
作者: Zhang, Lei Ning, Haoran Tang, Jiaxin Chen, Zhenxiang Zhong, Yaping Han, Yahong Tianjin University College of Intelligence and Computing the Tianjin Key Laboratory of Advanced Network Technology and Application Tianjin300050 China Key Laboratory of Computing Power Network and Information Security Ministry of Education China University of Jinan Shandong Provincial Key Laboratory of Ubiquitous Intelligent Computing the School of Information Science and Engineering Jinan250022 China Wuhan Sports University Sports Big-data Research Center Wuhan430079 China Tianjin University College of Intelligence and Computing the Tianjin Key Laboratory of Machine Learning Tianjin300350 China
The inherent complexity of Wi-Fi signals makes video-aided Wi-Fi 3D pose estimation difficult. The challenges include the limited generalizability of the task across diverse environments, its significant signal hetero... 详细信息
来源: 评论
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation  36
Pitfalls of Epistemic Uncertainty Quantification through Los...
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36th Conference on Neural Information Processing Systems, NeurIPS 2022
作者: Bengs, Viktor Hüllermeier, Eyke Waegeman, Willem Germany Munich Center for Machine Learning Germany Department of Data Analysis and Mathematical Modeling Ghent University Belgium
Uncertainty quantification has received increasing attention in machine learning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has been found useful in this regard. The l... 详细信息
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Method for Finding an Investment Strategy in the Case of a Sparse Covariance Matrix  17
Method for Finding an Investment Strategy in the Case of a S...
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17th International Conference on Management of Large-Scale System Development, MLSD 2024
作者: Gorelik, Victor Zolotova, Tatiana Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Simulation Systems and Operations Research Moscow Russia Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
An optimality principle is proposed for making investment decisions based on efficiency and risk assessments with a sparse covariance matrix. The method is implemented as a program with a graphical interface and demon... 详细信息
来源: 评论
Investor Risk Profile Determination Model  16
Investor Risk Profile Determination Model
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16th International Conference Management of Large-Scale System Development, MLSD 2023
作者: Gorelik, Victor Zolotova, Tatiana Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Department of Simulation Systems and Operations Research Moscow Russia Financial University under the Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
An assessment of the investor's risk profile is proposed as a risk coefficient in a model with a linear convolution of expected return and variance. The value of the risk coefficient is found from solving the opti... 详细信息
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Support vector novelty detection in hidden space
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Journal of Computational Information Systems 2011年 第15期7卷 5581-5590页
作者: Zhang, Li Wang, Bangjun Li, Fanzhang He, Shuping Research Center of Machine Learning and Data Analysis School of Computer Science and Technology Soochow University Suzhou 215006 China
In this paper, a family of support vector novelty detection (or SVND) in hidden space is presented. Firstly a hidden-space SVND (or HSVND) algorithm is proposed. The data in an input space is mapped into a hidden spac... 详细信息
来源: 评论