咨询与建议

限定检索结果

文献类型

  • 40 篇 期刊文献
  • 31 篇 会议

馆藏范围

  • 71 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 40 篇 工学
    • 26 篇 计算机科学与技术...
    • 21 篇 软件工程
    • 15 篇 生物工程
    • 13 篇 生物医学工程(可授...
    • 9 篇 信息与通信工程
    • 8 篇 光学工程
    • 8 篇 电气工程
    • 5 篇 电子科学与技术(可...
    • 4 篇 控制科学与工程
    • 3 篇 机械工程
    • 1 篇 仪器科学与技术
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 化学工程与技术
  • 22 篇 理学
    • 15 篇 生物学
    • 8 篇 数学
    • 6 篇 物理学
    • 5 篇 统计学(可授理学、...
    • 2 篇 系统科学
    • 1 篇 化学
  • 14 篇 管理学
    • 6 篇 图书情报与档案管...
    • 5 篇 管理科学与工程(可...
    • 5 篇 工商管理
    • 3 篇 公共管理
  • 11 篇 医学
    • 7 篇 基础医学(可授医学...
    • 7 篇 临床医学
    • 6 篇 公共卫生与预防医...
    • 4 篇 药学(可授医学、理...
  • 3 篇 经济学
    • 3 篇 应用经济学
  • 1 篇 法学
    • 1 篇 社会学

主题

  • 5 篇 deep learning
  • 4 篇 anomaly detectio...
  • 4 篇 machine learning
  • 3 篇 magnetic resonan...
  • 3 篇 graph neural net...
  • 3 篇 costs
  • 3 篇 training
  • 2 篇 reinforcement le...
  • 2 篇 predictive model...
  • 2 篇 metadata
  • 2 篇 industries
  • 2 篇 crowdsourcing
  • 2 篇 machine learning...
  • 1 篇 covid-19
  • 1 篇 dtx
  • 1 篇 environmental de...
  • 1 篇 vehicle dynamics
  • 1 篇 wearable device
  • 1 篇 clip
  • 1 篇 few shot anomaly...

机构

  • 7 篇 insight centre f...
  • 5 篇 science foundati...
  • 5 篇 school of comput...
  • 5 篇 national enginee...
  • 4 篇 center for machi...
  • 4 篇 institute of adv...
  • 4 篇 science foundati...
  • 4 篇 institute of com...
  • 3 篇 school of comput...
  • 3 篇 key lab of high ...
  • 3 篇 department of co...
  • 3 篇 insight sfi rese...
  • 2 篇 university of sc...
  • 2 篇 barcelona instit...
  • 2 篇 hochschule ansba...
  • 2 篇 jamia millia isl...
  • 2 篇 nec oncolmmunity...
  • 2 篇 universidad pomp...
  • 2 篇 stream data anal...
  • 2 篇 south china univ...

作者

  • 7 篇 lawlor aonghus
  • 6 篇 belton niamh
  • 6 篇 curran kathleen ...
  • 4 篇 dietlmeier julia
  • 4 篇 hagos misgina ts...
  • 4 篇 schmidt-thieme l...
  • 4 篇 madhusudhanan ki...
  • 3 篇 pakrashi arjun
  • 3 篇 stubbemann maxim...
  • 3 篇 namee brian mac
  • 2 篇 niamh belton
  • 2 篇 behrens gunnar
  • 2 篇 gonzalez-garcia ...
  • 2 篇 arne küderle
  • 2 篇 silvia del din
  • 2 篇 rengifo santiago
  • 2 篇 ruiz-garcia juan...
  • 2 篇 diaz moises
  • 2 篇 sistu ganesh
  • 2 篇 walter maetzler

语言

  • 68 篇 英文
  • 3 篇 其他
检索条件"机构=Machine Learning and Data Analytics Research"
71 条 记 录,以下是31-40 订阅
排序:
A Deep Feedforward Neural Network and Shallow Architectures Effectiveness Comparison: Flight Delays Classification Perspective  21
A Deep Feedforward Neural Network and Shallow Architectures ...
收藏 引用
Proceedings of the 5th International Conference on Advances in Artificial Intelligence
作者: Desmond Bala Bisandu Mohammed Salih Homaid irene Moulitsas Salvatore Filippone Department of Computational Engineering Sciences Cranfield University UK and Machine Learning and Data Analytics Laboratory Digital Aviation Research and Technology Centre (DARTeC) Cranfield University UK Department of Computational Engineering Sciences Cranfield University UK and Machine Learning and Data Analytics Laboratory Digital Aviation Research and Technology Centre(DARTeC) Cranfield University UK Department of Computational Engineering Sciences Cranfield University UK and Machine learning and data analytics laboratory digital aviation research and technology centre(DARTeC) Cranfield University UK Department of Civil and Computer Engineering Universita di Roma Italy and Department of Computational Engineering Sciences Cranfield Univeristy United Kingdom
Flight delays have negatively impacted the socio-economics state of passengers, airlines and airports, resulting in huge economic losses. Hence, it has become necessary to correctly predict their occurrences in decisi... 详细信息
来源: 评论
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks
arXiv
收藏 引用
arXiv 2023年
作者: Belton, Niamh Hagos, Misgina Tsighe Lawlor, Aonghus Curran, Kathleen M. Science Foundation Ireland Centre for Research Training in Machine Learning Ireland School of Medicine University College Dublin Ireland School of Computer Science University College Dublin Ireland Insight Centre for Data Analytics University College Dublin Dublin Ireland
Recent Anomaly Detection techniques have progressed the field considerably but at the cost of increasingly complex training pipelines. Such techniques require large amounts of training data, resulting in computational... 详细信息
来源: 评论
: Quantum Artificial Intelligence for the Automotive Industry
收藏 引用
KI - Künstliche Intelligenz 2024年 第4期38卷 351-359页
作者: Stollenwerk, Tobias Bhattacharya, Somtapa Cattelan, Michele Ciani, Alessandro Compostella, Gabriele Headley, David Klepsch, Johannes Klusch, Matthias Leder, Markus Macaluso, Antonio Michielsen, Kristel Nabok, Dmytro Papanikolaou, Anestis Rausch, Alexander Schumann, Marco Skolik, Andrea Yarkoni, Sheir Wilhelm, Frank K. Institute for Quantum Computing Analytics (PGI-12) Forschungszentrum Jülich Jülich Germany Volkswagen Data:Lab Volkswagen Group Munich Germany Machine Learning Research Lab Volkswagen Group Munich Germany Mercedes-Benz AG Stuttgart Germany BMW AG München Germany German Research Center for Artificial Intelligence (DFKI) Saarbrüecken Germany Jülich Supercomputing Centre (JSC) Forschungszentrum Jülich Jülich Germany Robert Bosch GmbH Corporate Research Renningen Germany
来源: 评论
The 29th AIAI Irish Conference on Artificial Intelligence and Cognitive Science
收藏 引用
CEUR Workshop Proceedings 2021年 3105卷
作者: Pakrashi, Arjun Rushe, Ellen Bazargani, Mehran Hossein Zadeh Namee, Brian Mac School of Computer Science University College Dublin Ireland Lero: Science Foundation Ireland Research Centre for Software The Insight Centre for Data Analytics SFI Centre for Research Training in Machine Learning
来源: 评论
T-Cell Receptor Optimization with Reinforcement learning and Mutation Polices for Precision Immunotherapy  27th
T-Cell Receptor Optimization with Reinforcement Learning an...
收藏 引用
27th International Conference on research in Computational Molecular Biology, RECOMB 2023
作者: Chen, Ziqi Min, Martin Renqiang Guo, Hongyu Cheng, Chao Clancy, Trevor Ning, Xia Computer Science and Engineering The Ohio State University ColumbusOH43210 United States Machine Learning Department NEC Labs PrincetonNJ08540 United States Digital Technologies Research Centre National Research Council Canada Ontario Canada Department of Medicine Baylor College of Medicine HoustonTX77030 United States NEC Oncolmmunity AS Oslo Cancer Cluster Innovation Park Ullernchausséen 64 Oslo0379 Norway Biomedical Informatics The Ohio State University ColumbusOH43210 United States Translational Data Analytics Institute The Ohio State University ColumbusOH43210 United States
T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of T cells, are able to bind to these pe... 详细信息
来源: 评论
Achieving Linear Speedup with Network-Independent learning Rates in Decentralized Stochastic Optimization
Achieving Linear Speedup with Network-Independent Learning R...
收藏 引用
IEEE Conference on Decision and Control
作者: Hao Yuan Sulaiman A. Alghunaim Kun Yuan Center for Machine Learning Research Peking University Beijing P. R. China Dept. Electrical Engr. Kuwait University Safat Kuwait AI for Science Institute Beijing P. R. China National Engineering Labratory for Big Data Analytics and Applications Beijing P. R. China
Decentralized stochastic optimization has become a crucial tool for addressing large-scale machine learning and control problems. In decentralized algorithms, all computing nodes are connected through a network topolo...
来源: 评论
System Architecture for Reading and Interpreting Physical Printouts of Medical Forms
System Architecture for Reading and Interpreting Physical Pr...
收藏 引用
Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)
作者: Ekaterina Snegireva Grigory R. Khazankin Igor Mikheenko Stream Data Analytics and Machine Learning laboratory Novosibirsk State University Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Meshalkin National Medical Research Center Novosibirsk Russia
This article describes the developed architecture of the system module for processing and interpreting analog medical data. Patients often undergo examinations in various medical institutions, and since their results ... 详细信息
来源: 评论
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series data and Sequential Decision Making
arXiv
收藏 引用
arXiv 2023年
作者: Yu, Shujian Li, Hongming Løkse, Sigurd Jenssen, Robert Príncipe, José C. The Machine Learning Group UiT - The Arctic University of Norway Tromsø Norway The Quantitative Data Analytics Group Vrije Universiteit Amsterdam Netherlands The Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States The Drones and Autonomous Systems group at NORCE Norwegian Research Centre Tromsø Norway The Pioneer AI Centre Copenhagen University The Norwegian Computing Center Oslo Norway
The Cauchy-Schwarz (CS) divergence was developed by Príncipe et al. in 2000. In this paper, we extend the classic CS divergence to quantify the closeness between two conditional distributions and show that the de... 详细信息
来源: 评论
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
arXiv
收藏 引用
arXiv 2022年
作者: März, Luisa Asgari, Ehsaneddin Braune, Fabienne Zimmermann, Franziska Roth, Benjamin Research Group Data Mining and Machine Learning Faculty of Computer Science University of Vienna Vienna Austria Faculty of Philological and Cultural Studies University of Vienna Vienna Austria AI Innovation & Pre-Development Data:Lab Volkswagen AG Munich Germany UniVie Docotoral School Computer Science Vienna Austria CAPE Analytics Mountain ViewCA United States
Weak supervision is leveraged in a wide range of domains and tasks due to its ability to create massive amounts of labeled data, requiring only little manual effort. Standard approaches use labeling functions to speci...
来源: 评论
Semi-Supervised Siamese Network for Identifying Bad data in Medical Imaging datasets
arXiv
收藏 引用
arXiv 2021年
作者: Belton, Niamh Lawlor, Aonghus Curran, Kathleen M. Science Foundation Ireland Centre for Research Training in Machine Learning School of Medicine School of Computer Science University College Dublin Insight Centre for Data Analytics University College Dublin Dublin Ireland
Noisy data present in medical imaging datasets can often aid the development of robust models that are equipped to handle real-world data. However, if the bad data contains insufficient anatomical information, it can ... 详细信息
来源: 评论