检索结果-内蒙古大学图书馆

Error Density-dependent Empirical Risk Minimization

Expert Systems with Applications 2024年 254卷

作者： Chen, Hong Zhang, Xuelin Gong, Tieliang Gu, Bin Zheng, Feng College of Informatics Huazhong Agricultural University Wuhan430070 China Engineering Research Center of Intelligent Technology for Agriculture Ministry of Education Wuhan430070 China Shenzhen Institute of Nutrition and Health Huazhong Agricultural University Shenzhen518000 China Shenzhen Branch Guangdong Laboratory for Lingnan Modern Agriculture Genome Analysis Laboratory of the Ministry of Agriculture Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen518000 China School of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China School of Artificial Intelligence Jilin University Jilin130012 China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China

Empirical Risk Minimization (ERM) with the squared loss has become one of the most popular principles for designing learning algorithms. However, the existing mean regression models under ERM usually suffer from poor generalization performance due to their sensitivity to atypical observations (e.g., outliers). For alleviating this sensitivity, some strategies have been proposed by utilizing the quantitative relationship of error values with different observations to form robust learning objectives. Instead of focusing on error values, this paper considers the error density to uncover the structure information of observations and proposes a new learning objective, called Error Density-dependent Empirical Risk Minimization (EDERM), for robust regression under complex data environments. Property characterizations and experimental analysis validate the robustness and competitiveness of the proposed EDERM-based learning models. The implemented codes can be found at https://***/zhangxuelincode/EDERM. © 2024 Elsevier Ltd

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Touchstone benchmark: are we on the right way for evaluating AI algorithms for medical segmentation? 24

Touchstone benchmark: are we on the right way for evaluating...

引用

Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Pedro R. A. S. Bassi Wenxuan Li Yucheng Tang Fabian Isensee Zifu Wang Jieneng Chen Yu-Cheng Chou Saikat Roy Yannick Kirchhoff Maximilian Rokuss Ziyan Huang Jin Ye Junjun He Tassilo Wald Constantin Ulrich Michael Baumgartner Klaus H. Maier-Hein Paul Jaeger Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Yong Xia Zhaohu Xing Lei Zhu Yousef Sadegheih Afshin Bozorgpour Pratibha Kumari Reza Azad Dorit Merhof Pengcheng Shi Ting Ma Yuxin Du Fan Bai Tiejun Huang Bo Zhao Haonan Wang Xiaomeng Li Hanxue Gu Haoyu Dong Jichen Yang Maciej A. Mazurowski Saumya Gupta Linshan Wu Jiaxin Zhuang Hao Chen Holger Roth Daguang Xu Matthew B. Blaschko Sergio Decherchi Andrea Cavalli Alan L. Yuille Zongwei Zhou Department of Computer Science Johns Hopkins University and Department of Pharmacy and Biotechnology University of Bologna and Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Department of Computer Science Johns Hopkins University NVIDIA Division of Medical Image Computing German Cancer Research Center (DKFZ) and Helmholtz Imaging German Cancer Research Center (DKFZ) ESAT-PSI KU Leuven Division of Medical Image Computing German Cancer Research Center (DKFZ) and Faculty of Mathematics and Computer Science Heidelberg University Division of Medical Image Computing German Cancer Research Center (DKFZ) and Faculty of Mathematics and Computer Science Heidelberg University and HIDSS4Health - Helmholtz Information and Data Science School for Health Shanghai Jiao Tong University Shanghai Artificial Intelligence Laboratory Division of Medical Image Computing German Cancer Research Center (DKFZ) Division of Medical Image Computing German Cancer Research Center (DKFZ) and Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Helmholtz Imaging German Cancer Research Center (DKFZ) and Interactive Machine Learning Group (IML) DKFZ School of Computer Science and Engineering Northwestern Polytechnical University Australian Institute for Machine Learning The University of Adelaide College of Computer Science and Technology Zhejiang University Hong Kong University of Science and Technology (Guangzhou) Hong Kong University of Science and Technology (Guangzhou) and Hong Kong University of Science and Technology Faculty of Informatics and Data Science University of Regensburg Faculty of Electrical Engineering and Information Technology RWTH Aachen University Faculty of Informatics and Data Science University of Regensburg and Fraunhofer Institute for Digital Medicine MEVIS Electronic & Information Engineering School Harbin Institute of Technology (Shenzhen) Shanghai Jiao Tong University and Beijing Academy of Artificial Intelligence (BAAI) S

ISBN: (纸本)9798331314385

How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and short-term outcome pressure. As a consequence, good performance on standard benchmarks does not guarantee success in real-world scenarios. To address these problems, we present Touchstone, a large-scale collaborative segmentation benchmark of 9 types of abdominal organs. This benchmark is based on 5,195 training CT scans from 76 hospitals around the world and 5,903 testing CT scans from 11 additional hospitals. This diverse test set enhances the statistical significance of benchmark results and rigorously evaluates AI algorithms across out-of-distribution scenarios. We invited 14 inventors of 19 AI algorithms to train their algorithms, while our team, as a third party, independently evaluated these algorithms. In addition, we also evaluated pre-existing AI frameworks—which, differing from algorithms, are more flexible and can support different algorithms—including MONAI from NVIDIA, nnU-Net from DKFZ, and numerous other open-source frameworks. We are committed to expanding this benchmark to encourage more innovation of AI algorithms for the medical domain.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Mitigating the Massive Access Problem in the Internet of Things 1

引用

2nd International Symposium on Security in computer and Information sciences, EuroCybersec 2021

作者： Gelenbe, Erol Nakıp, Mert Marek, Dariusz Czachorski, Tadeusz Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice44-100 Poland Yaşar University Bornova İzmir Turkey CNRS Lab. I3S Université Côte d’Azur Nice France CNRS Lab. Abraham de Moivre London United Kingdom Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

ISBN: (数字)9783031093579

ISBN: (纸本)9783031093562

The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines, but also so that they do not constitute bulk arrivals. The second approach is a novel traffic shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gateway by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized, that describe the benefits of these techniques. © 2022, The Author(s).

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

ResNet-Attention model for human authentication using ECG signals

ResNet-Attention model for human authentication using ECG si...

引用

作者： Hammad, Mohamed Plawiak, Pawel Wang, Kuanquan Acharya, Udyavara Rajendra School of Computer Science and Technology Harbin Institute of Technology Harbin China Faculty of Computers and Information Menoufia University Menoufia Egypt Department of Information and Communications Technology Faculty of Computer Science and Telecommunications Cracow University of Technology Krakow Poland Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice Poland Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Singapore Department of Biomedical Engineering School of Science and Technology Singapore School of Social Sciences Singapore Singapore Department of Bioinformatics and Medical Engineering Asia University Taichung Taiwan

Authentication is the process of verifying the claimed identity of the user. Recently, traditional authentication methods such as passwords, tokens, and so on are no longer used for authentication as they are more prone to theft and different types of violations. Therefore, new authentication approaches based on biometric modalities such as heartbeat pattern obtained from electrocardiogram (ECG) signals are considered. Unlike other biometrics, ECG provides the assurance that the person is alive, and is considered as one of the most accurate recent methods for authentication. In this article, two end-to-end deep neural network models for ECG-based authentication are proposed. In the first model, a convolutional neural network (CNN) is developed and in the second model, a residual convolutional neural network (ResNet) with attention mechanism called ResNet-Attention is designed for human authentication. We have used 2-s duration ECG signals obtained from two ECG databases (Physikalisch-Technische Bundesanstalt [PTB] and Check Your Bio-signals Here initiative [CYBHi]) for authentication. Our proposed ResNet-Attention algorithm achieved an accuracy of 98.85 and 99.27% using PTB and CYBHi, respectively. The results obtained by our developed model show that the performance is better than existing algorithms and can be used in real-time authentication systems after the validation with more diverse ECG data. © 2020 John Wiley & Sons, Ltd

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Energy Landscape Shaping for Robust Control of Atoms in Optical Lattices

arXiv

引用

arXiv 2025年

作者： Weidner, C.A. O'Neil, S.P. Jonckheere, E.A. Langbein, F.C. Schirmer, S.G. Quantum Engineering Technology Laboratories H. H. Wills Physics Laboratory Department of Electrical and Electronic Engineering University of Bristol BristolBS8 1FD United Kingdom Department of Electrical Engineering and Computer Science United States Military Academy West PointNY10996 United States Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90007 United States School of Computer Science and Informatics Cardiff University CardiffCF24 4AG United Kingdom Faculty of Science & Engineering Physics Swansea University SwanseaSA2 8PP United Kingdom

Robust quantum control is crucial for realizing practical quantum technologies. Energy landscape shaping offers an alternative to conventional dynamic control, providing theoretically enhanced robustness and simplifying implementation for certain applications. This work demonstrates the feasibility of robust energy landscape control in a practical implementation with ultracold atoms. We leverage a digital mirror device (DMD) to shape optical potentials, creating complex energy landscapes. To achieve a desired objective, such as efficient quantum state transfer, we formulate a novel hybrid optimization approach that effectively handles both continuous (laser power) and discrete (DMD pixel activation) control parameters. This approach combines constrained quasi-Newton methods with surrogate models for efficient exploration of the vast parameter space. Furthermore, we introduce a framework for analyzing the robustness of the resulting control schemes against experimental uncertainties. By modeling uncertainties as structured perturbations, we systematically assess controller performance and identify robust solutions. We apply these techniques to maximize spin transfer in a chain of trapped atoms, achieving high-fidelity control while maintaining robustness. Our findings provide insights into the experimental viability of controlled spin transfer in cold atom systems. More broadly, the presented optimization and robustness analysis methods apply to a wide range of quantum control problems, offering a toolkit for designing and evaluating robust controllers in complex experimental settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Robust control

来源：评论

学校读者我要写书评

暂无评论

Detecting Anomalous Insiders Using Network Analysis 1

引用

9th International Conference on Communications, Signal Processing, and Systems, CSPS 2020

作者： Dai, Lei Zhang, Liwei Li, Limin Chen, You Beijing Institute of Technology Beijing China China Academy of Electronics and Information Technology Beijing China Department of Biomedical Informatics Vanderbilt University Medical Center NashvilleTN United States Department of Electrical Engineering & Computer Science School of Engineering Vanderbilt University NashvilleTN United States

ISBN: (数字)9789811584114

ISBN: (纸本)9789811584107

Collaborative information systems (CISs) can improve efficiency and quality of services, because they enable users to coordinate and collaborate on common works with a large scale. In recent decades, increasing number of hospitals start to adopt CIS to improve efficiency and quality of health care treatment, and CIS is becoming an important platform for hospital employees to treat patients. CIS is rich in resources of relations among users, however, people seldom study networks of users existing in the CIS, especially in health information systems. In this paper, we construct collaborative weighted networks of users from two typical CIS: one from health care respect, Vanderbilt University STARPANEL system;and the other from a more general respect, Wikipedia talk system. We learn characteristics of those two networks, and find both networks follow degree-strength relations, which could be used for detecting anomalous behaviors of users in the CIS, for instance, anomalous behaviors of hospital employees and wiki editors. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Hospitals

来源：评论

学校读者我要写书评

暂无评论

Shot noise in next-generation neural mass models for finite-size networks

引用

Physical Review E 2022年第6期106卷 L062302-L062302页

作者： Vladimir V. Klinshov Sergey Yu. Kirillov Institute of Applied Physics of the Russian Academy of Sciences 46 Ul'yanov Street Nizhny Novgorod 603950 Russia and Faculty of Informatics Mathematics and Computer Science National Research University Higher School of Economics 25/12 Bol'shaya Pecherskaya Street Nizhny Novgorod 603155 Russia Institute of Applied Physics of the Russian Academy of Sciences 46 Ul'yanov Street Nizhny Novgorod 603950 Russia

Neural mass models is a general name for various models describing the collective dynamics of large neural populations in terms of averaged macroscopic variables. Recently, the so-called next-generation neural mass models have attracted a lot of attention due to their ability to account for the degree of synchrony. Being exact in the limit of infinitely large number of neurons, these models provide only an approximate description of finite-size networks. In the present Letter we study finite-size effects in the collective behavior of neural networks and prove that these effects can be captured by appropriately modified neural mass models. Namely, we show that the finite size of the network leads to the emergence of the so-called shot noise appearing as a stochastic term in the neural mass model. The power spectrum of this shot noise contains pronounced peaks, therefore its impact on the collective dynamics might be crucial due to resonance effects.

关键词： Collective dynamics Neuronal dynamics

来源：评论

学校读者我要写书评

暂无评论

Theoretical Aspects of Process Synchronization in Ensuring the Interoperability of Integrated Control Systems

Theoretical Aspects of Process Synchronization in Ensuring t...

引用

Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO)

作者： A. N. Kubankov S. V. Kozlov Moscow Technical University of Communications and Informatics Moscow Russia Russian Academy of Sciences Federal Research Center "Computer Science and Control" Moscow Russia

The main directions of the evolution of the subject of automation in the framework of integrated automated control systems and related problems of ensuring the interoperability of functional subsystems are considered. It is noted that the automation of management functions in the management system at the level of automation of tasks for their implementation exhausts its resources as the functionality of the system expands, the complexity of its structure and algorithms of functioning increases. At the same time, the automation of management processes becomes a priority, i.e. the automation of management processes, bringing it to a new qualitative level of providing cross-functional (inter-task) interaction horizontally. The process basis for the development of control systems for various purposes becomes an important prerequisite for the creation of integrated control systems as network-centric systems. It is noted that as the complexity of control systems increases and the application of promising technologies for their creation, the horizon of threats and predicted dangers expands, and the problem of interoperability of functional systems as part of an integrated control system comes to the fore. The main factors that determine the new directions of the emergence of vulnerabilities in the life cycle of integrated systems are presented, the analysis of which is proposed to be carried out at the level of a complete group of processes in the life cycle of systems. With this in mind, the interpretation of the traditional problem of interoperability of integrated control systems is presented on the basis of the decomposition of target and counteracting processes. The algorithm of interaction of processes within the target process is described, the subject of synchronization of processes in the life cycle of integrated systems at the level of their attributes (process input and output, resources for process implementation and process management) is illustrated. In the d

关键词： Automation Robot kinematics Process control Tools Complexity theory Telecommunications Synchronization

来源：评论

学校读者我要写书评

暂无评论

Integrated Control of Economic Security by Machine Learning in the Information Space of the Digital Economy

Integrated Control of Economic Security by Machine Learning ...

引用

Systems of Signals Generating and Processing in the Field of on Board Communications

作者： E. A. Voronin S. V. Kozlov A. N. Kubankov Federal Research Center “Computer Science and Control” of Russian Academy of Sciences Moscow Russia Moscow Technical University of Communications and Informatics Moscow Russia

ISBN: (纸本)9781665415484;9781665446983

The paper considers a refined statement of the economic security control problem in the formation of a digital economy, developed on the basis of a probabilistic assessment of the implementation of organizational, technical and technological processes for ensuring economic security using a universal methodology. Methods and technologies for applying machine learning in control and ensuring of economic security, based on data from the information space of the digital economy, are given. A methodology and methods for assessing and predicting threats, assessing the vulnerability of economic systems and choosing the optimal strategy to counter them are proposed. Algorithms and the most suitable programming languages for the implementation of solutions to the problem are selected. It is possible only if there is an information space organized according to the paradigm of the digital economy.

关键词： Economics Machine learning algorithms Sensitivity Process control Optimal control Machine learning Aerospace electronics

来源：评论

学校读者我要写书评

暂无评论

Generic Drone Simulator: Design, Development and User Testing in a Virtual Search and Rescue Mission

引用

IEEE computer Graphics and Applications 2025年 PP卷 PP页

作者： Pappas, Georgios Lappas, Dimitrios Karampelas, Panagiotis Siegel, Joshua E. Templalexis, Ioannis Stavrou, Stavros Krishnan, Sriram Open University of Cyprus Lab of Educational Material and Methodology Latsia Nicosia Cyprus University of the Aegean Learning Technology and Educational Engineering Laboratory Rhodes Greece Hellenic Air Force Academy Department of Informatics & Computers Dekelia Attiki Greece Michigan State University Department of Computer Science and Engineering East LansingMI United States Hellenic Air Force Academy Department of Thermodynamics Propulsion and Power Systems Dekelia Attiki Greece Open University of Cyprus Cybersecurity and Telecommunications Research Lab Latsia Nicosia Cyprus Indian Institute of Technology The Energy Consortium Madras India

This study addresses the need for scenario-specific drone simulators to enhance research, education, pilot training, and performance evaluation across diverse mission contexts. A gamified simulator was developed for the joint master's degree program "Security and Defence" between the Open University of Cyprus (OUC) and the Hellenic Air Force academy (HAFA), with a focus on Search and Rescue mission training and planning. The simulator balances interface design, physics accuracy, and environmental realism to support specialized professional training and research. A survey-based evaluation involving 57 participants –pilots, engineers, and air traffic controllers –demonstrated the tool's ability to provide realistic experiences for trained pilots and meaningful learning opportunities for novices. Statistical analysis revealed significant correlations between gaming familiarity, task completion times, and participant expertise. © 1981-2012 IEEE.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：