咨询与建议

限定检索结果

文献类型

  • 477 篇 期刊文献
  • 275 篇 会议
  • 6 册 图书

馆藏范围

  • 758 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 476 篇 工学
    • 327 篇 计算机科学与技术...
    • 268 篇 软件工程
    • 88 篇 生物工程
    • 81 篇 信息与通信工程
    • 72 篇 生物医学工程(可授...
    • 66 篇 电气工程
    • 61 篇 控制科学与工程
    • 54 篇 电子科学与技术(可...
    • 50 篇 光学工程
    • 32 篇 化学工程与技术
    • 23 篇 材料科学与工程(可...
    • 22 篇 仪器科学与技术
    • 18 篇 动力工程及工程热...
    • 16 篇 机械工程
  • 370 篇 理学
    • 164 篇 数学
    • 116 篇 生物学
    • 93 篇 物理学
    • 75 篇 统计学(可授理学、...
    • 42 篇 化学
    • 39 篇 系统科学
  • 139 篇 管理学
    • 77 篇 管理科学与工程(可...
    • 59 篇 图书情报与档案管...
    • 47 篇 工商管理
    • 16 篇 公共管理
  • 88 篇 医学
    • 67 篇 临床医学
    • 64 篇 基础医学(可授医学...
    • 45 篇 公共卫生与预防医...
    • 32 篇 药学(可授医学、理...
  • 27 篇 农学
  • 25 篇 法学
    • 23 篇 社会学
  • 18 篇 经济学
    • 18 篇 应用经济学
  • 6 篇 教育学
  • 2 篇 文学

主题

  • 28 篇 machine learning
  • 24 篇 deep learning
  • 19 篇 training
  • 16 篇 computational mo...
  • 15 篇 predictive model...
  • 14 篇 accuracy
  • 13 篇 semantics
  • 12 篇 generative adver...
  • 12 篇 real-time system...
  • 12 篇 feature extracti...
  • 11 篇 optimization
  • 11 篇 decision making
  • 11 篇 forecasting
  • 11 篇 adaptation model...
  • 10 篇 data models
  • 8 篇 covid-19
  • 8 篇 data mining
  • 8 篇 artificial intel...
  • 7 篇 scalability
  • 7 篇 reinforcement le...

机构

  • 9 篇 computational an...
  • 8 篇 applied mathemat...
  • 8 篇 school of data a...
  • 8 篇 computational an...
  • 8 篇 department of co...
  • 8 篇 shenzhen researc...
  • 8 篇 department of co...
  • 7 篇 department of co...
  • 7 篇 department of bi...
  • 7 篇 srm institute of...
  • 7 篇 department of ma...
  • 7 篇 department of da...
  • 6 篇 department of mo...
  • 6 篇 institute of com...
  • 6 篇 information stor...
  • 6 篇 department of co...
  • 6 篇 computer network...
  • 6 篇 faculty of scien...
  • 6 篇 department of me...
  • 6 篇 zhejiang bioinfo...

作者

  • 40 篇 masuda naoki
  • 13 篇 herrera-viedma e...
  • 11 篇 shoeibi afshin
  • 10 篇 alizadehsani roo...
  • 9 篇 akshya j.
  • 9 篇 naoki masuda
  • 9 篇 jasra ajay
  • 8 篇 choudhry mani de...
  • 8 篇 nahavandi saeid
  • 8 篇 mani deepak chou...
  • 7 篇 huang ming-chun
  • 6 篇 mitra pabitra
  • 6 篇 acharya u. rajen...
  • 6 篇 enrique herrera-...
  • 6 篇 hussain sadiq
  • 6 篇 shuai wang
  • 6 篇 jafari mahboobeh
  • 6 篇 m. sundarrajan
  • 6 篇 khosravi abbas
  • 6 篇 sundarrajan m.

语言

  • 618 篇 英文
  • 135 篇 其他
  • 8 篇 中文
  • 2 篇 德文
  • 2 篇 法文
  • 1 篇 罗马尼亚文
检索条件"机构=Computer Science & Engineering Computational and Data-enabled Science & Engineering"
758 条 记 录,以下是541-550 订阅
data augmentation for deep candlestick learner
arXiv
收藏 引用
arXiv 2020年
作者: Tsao, Chia-Ying Chen, Jun-Hao Chen, Samuel Yen-Chi Tsai, Yun-Cheng Department of Economics National Taiwan University Taipei10617 Taiwan Department of Computer Science & Information Engineering National Taiwan University Taipei10617 Taiwan Computational Science Initiative Brookhaven National Laboratory UptonNY11973 United States School of Big Data Management Soochow University Taipei11102 Taiwan
To successfully build a deep learning model, it will need a large amount of labeled data. However, labeled data are hard to collect in many use cases. To tackle this problem, a bunch of data augmentation methods have ... 详细信息
来源: 评论
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
arXiv
收藏 引用
arXiv 2023年
作者: Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan
Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raise... 详细信息
来源: 评论
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case
arXiv
收藏 引用
arXiv 2021年
作者: Díaz-Rodríguez, Natalia Lamas, Alberto Sanchez, Jules Franchi, Gianni Donadello, Ivan Tabik, Siham Filliat, David Cruz, Policarpo Montes, Rosana Herrera, Francisco U2IS ENSTA Institut Polytechnique Paris Inria Flowers Palaiseau91762 France Free University of Bozen-Bolzano 39100 Italy DaSCI Andalusian Institute in Data Science and Computational Intelligence University of Granada Granada18071 Spain Faculty of Computing and Information Technology King Abdulaziz University Jeddah21589 Saudi Arabia Department of Art History University of Granada Granada18071 Spain Department of Computer Science and Artificial Intelligence University of Granada Granada18071 Spain Department of Software Engineering University of Granada Granada18071 Spain
The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are black-box methods hard to debug, inte... 详细信息
来源: 评论
Bayesian anomaly detection using extreme value theory
arXiv
收藏 引用
arXiv 2019年
作者: Guggilam, Sreelekha Zaidi, S.M. Arshad Chandola, Varun Patra, Abani Computational Data Science and Engineering University at Buffalo NY United States Computer Science and Engineering University at Buffalo NY United States Mechanical and Aerospace Engineering University at Buffalo NY United States
data-driven anomaly detection methods typically build a model for the normal behavior of the target system, and score each data instance with respect to this model. A threshold is invariably needed to identify data in... 详细信息
来源: 评论
FAIR for AI: An interdisciplinary and international community building perspective
arXiv
收藏 引用
arXiv 2022年
作者: Huerta, E.A. Blaiszik, Ben Brinson, L. Catherine Bouchard, Kristofer E. Diaz, Daniel Doglioni, Caterina Duarte, Javier M. Emani, Murali Foster, Ian Fox, Geoffrey Harris, Philip Heinrich, Lukas Jha, Shantenu Katz, Daniel S. Kindratenko, Volodymyr Kirkpatrick, Christine R. Lassila-Perini, Kati Madduri, Ravi K. Neubauer, Mark S. Psomopoulos, Fotis E. Roy, Avik Rübel, Oliver Zhao, Zhizhen Zhu, Ruike Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Department of Computer Science University of Chicago ChicagoIL60637 United States Globus University of Chicago ChicagoIL60637 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Biological Systems & Engineering Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Helen Wills Neuroscience Institute University of California Berkeley BerkeleyCA94720 United States Department of Physics University of California La Jolla San DiegoCA92093 United States Lund University Department of Physics Box 118 Lund221 00 Sweden School of Physics & Astronomy The University of Manchester ManchesterM13 9PL United Kingdom Leadership Computing Facility Argonne National Laboratory LemontIL60439 United States Biocomplexity Institute Department of Computer Science University of Virginia CharlottesvilleVA22904 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Technical University Munich Arcisstraße 21 München80333 Germany Computational Science Initiative Brookhaven National Laboratory UptonNY11973 United States Electrical and Computer Engineering Rutgers The State University of New Jersey PiscatawayNJ08854 United States National Center for Supercomputing Applications University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical & Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Information Sciences University of Illinois at Urbana-Champaign UrbanaIL61801 United States San Diego Supercomputer Center University of California La Jolla San DiegoCA
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of... 详细信息
来源: 评论
Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
arXiv
收藏 引用
arXiv 2024年
作者: Huijben, Evi M.C. Terpstra, Maarten L. Galapon, Arthur Pai, Suraj Thummerer, Adrian Koopmans, Peter Afonso, Manya van Eijnatten, Maureen Gurney-Champion, Oliver Chen, Zeli Zhang, Yiwen Zheng, Kaiyi Li, Chuanpu Pang, Haowen Ye, Chuyang Wang, Runqi Song, Tao Fan, Fuxin Qiu, Jingna Huang, Yixing Ha, Juhyung Park, Jong Sung Alain-Beaudoin, Alexandra Bériault, Silvain Yu, Pengxin Guo, Hongbin Huang, Zhanyao Li, Gengwan Zhang, Xueru Fan, Yubo Liu, Han Xin, Bowen Nicolson, Aaron Zhong, Lujia Deng, Zhiwei Müller-Franzes, Gustav Khader, Firas Li, Xia Zhang, Ye Hémon, Cédric Boussot, Valentin Zhang, Zhihao Wang, Long Bai, Lu Wang, Shaobin Mus, Derk Kooiman, Bram Sargeant, Chelsea A.H. Henderson, Edward G.A. Kondo, Satoshi Kasai, Satoshi Karimzadeh, Reza Ibragimov, Bulat Helfer, Thomas Dafflon, Jessica Chen, Zijie Wang, Enpei Perko, Zoltan Maspero, Matteo Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands Radiotherapy Department University Medical Center Utrecht Utrecht Netherlands Computational Imaging Group for MR Diagnostics & Therapy University Medical Center Utrecht Utrecht Netherlands Department of Radiation Oncology University Medical Center Groningen University of Groningen Groningen Netherlands GROW School for Oncology Maastricht University Medical Centre Maastricht Netherlands Department of Radiation Oncology LMU University Hospital LMU Munich Munich Germany Department of Radiation Oncology Radboud University Medical Center Nijmegen Netherlands Wageningen University & Research Wageningen Plant Research Wageningen Netherlands Department of Radiology and Nuclear Medicine Amsterdam UMC Location University of Amsterdam Amsterdam Netherlands Cancer Center Amsterdam Imaging and Biomarkers Amsterdam Netherlands School of Biomedical Engineering Southern Medical University Guangzhou China School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing China School of Biomedical Engineering ShanghaiTech University Shanghai China Fudan University Shanghai China Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Indiana University Bloomington United States Advanced Development Engineering Elekta Ltd Montreal Canada Infervision Medical Technology Co. Ltd. Beijing China Department of Biomedical Engineering Shantou University China Independent researchers Department of Computer Science Vanderbilt University Nashville United States Australian e-Health Research Centre CSIRO HerstonQLD Australia Los AngelesCA United States University Hospital Aachen Aachen Germany Center for Proton Therapy Paul Scherrer Institut Villigen Switzerland Department of Computer Science ETH Zurich Zurich Switzerland University Rennes 1 CLCC Eugène Marquis INSERM LTSI Rennes France Subtle Medical Shanghai China MedMind Technology Co.
Radiation therapy plays a crucial role in cancer treatment, necessitating precise delivery of radiation to tumors while sparing healthy tissues over multiple days. Computed tomography (CT) is integral for treatment pl... 详细信息
来源: 评论
Fast sequential clustering in riemannian manifolds for dynamic and time-series-annotated multilayer networks
TechRxiv
收藏 引用
TechRxiv 2020年
作者: Ye, Cong Slavakis, Konstantinos Nakuci, Johan Muldoon, Sarah F. Medaglia, John NY14260 United States State University of New York at Buffalo China The Neuroscience Program UB SUNY United States The Department of Mathematics and the Computational and Data-Enabled Science and Engineering Program UB SUNY United States The Department of Psychology Drexel University PA19104 United States The Perelman School of Medicine University of Pennsylvania PA19104 United States
This work exploits Riemannian manifolds to build a sequential-clustering framework able to address a wide variety of clustering tasks in dynamic multilayer (brain) networks via the information extracted from their nod... 详细信息
来源: 评论
A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for Image Classification
A CNN-RNN Hybrid Model with 2D Wavelet Transform Layer for I...
收藏 引用
International Conference on Tools for Artificial Intelligence (ICTAI)
作者: Zihao Dong Ruixun Zhang Xiuli Shao Computational intelligence & Data Engineering Lab College of Computer Science Nankai University Tianjin China MIT Laboratory for Financial Engineering Cambridge MA USA
Convolutional neural networks (CNNs) have recently achieved impressive performances in image processing tasks such as image classification and object recognition. However, CNNs only process images in the spatial domai...
来源: 评论
Opinion dynamics on tie-decay networks
arXiv
收藏 引用
arXiv 2020年
作者: Sugishita, Kashin Porter, Mason A. Beguerisse-Díaz, Mariano Masuda, Naoki Department of Mathematics State University of New York at Buffalo BuffaloNY14260-2900 United States Department of Mathematics University of California Los AngelesCA90095 United States Mathematical Institute University of Oxford OxfordOX2 6GG United Kingdom Computational and Data-Enabled Science and Engineering Program State University of New York at Buffalo BuffaloNY14260-5030 United States Faculty of Science and Engineering Waseda University Tokyo169-8555 Japan
In social networks, interaction patterns typically change over time. We study opinion dynamics on tie-decay networks in which tie strength increases instantaneously when there is an interaction and decays exponentiall... 详细信息
来源: 评论
Annotation-free learning of a spatio-temporal manifold of the cell life cycle
收藏 引用
Biological imaging 2023年 3卷 e19页
作者: Kristofer Delas Peñas Mariia Dmitrieva Dominic Waithe Jens Rittscher Department of Engineering Science University of Oxford Oxford United Kingdom. Big Data Institute Li Ka Shing Centre for Health Information and Discovery University of Oxford Oxford United Kingdom. Department of Computer Science University of the Philippines Quezon City Philippines. WIMM Centre for Computational Biology MRC Weatherall Institute of Molecular Medicine University of Oxford Oxford United Kingdom. Nuffield Department of Medicine University of Oxford Oxford United Kingdom.
The cell cycle is a complex biological phenomenon, which plays an important role in many cell biological processes and disease states. Machine learning is emerging to be a pivotal technique for the study of the cell c... 详细信息
来源: 评论