咨询与建议

限定检索结果

文献类型

  • 106 篇 期刊文献
  • 70 篇 会议
  • 1 册 图书

馆藏范围

  • 177 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 118 篇 工学
    • 82 篇 计算机科学与技术...
    • 75 篇 软件工程
    • 32 篇 生物工程
    • 22 篇 信息与通信工程
    • 21 篇 生物医学工程(可授...
    • 20 篇 光学工程
    • 16 篇 控制科学与工程
    • 13 篇 化学工程与技术
    • 10 篇 电气工程
    • 7 篇 机械工程
    • 6 篇 仪器科学与技术
    • 4 篇 交通运输工程
    • 4 篇 环境科学与工程(可...
    • 3 篇 材料科学与工程(可...
    • 3 篇 电子科学与技术(可...
    • 3 篇 土木工程
    • 3 篇 航空宇航科学与技...
  • 76 篇 理学
    • 33 篇 生物学
    • 28 篇 数学
    • 18 篇 物理学
    • 13 篇 化学
    • 13 篇 统计学(可授理学、...
  • 29 篇 管理学
    • 17 篇 图书情报与档案管...
    • 12 篇 管理科学与工程(可...
    • 10 篇 工商管理
  • 12 篇 医学
    • 11 篇 临床医学
    • 10 篇 基础医学(可授医学...
    • 6 篇 药学(可授医学、理...
  • 5 篇 法学
    • 5 篇 社会学
  • 3 篇 经济学
    • 3 篇 应用经济学
  • 3 篇 农学
  • 2 篇 教育学
  • 1 篇 哲学
  • 1 篇 历史学
  • 1 篇 艺术学

主题

  • 12 篇 machine learning
  • 9 篇 deep learning
  • 6 篇 computer vision
  • 5 篇 image segmentati...
  • 5 篇 semantics
  • 5 篇 training
  • 4 篇 object detection
  • 4 篇 machine vision
  • 4 篇 robot sensing sy...
  • 3 篇 three-dimensiona...
  • 3 篇 anomaly detectio...
  • 3 篇 data mining
  • 3 篇 human robot inte...
  • 3 篇 benchmarking
  • 3 篇 laser radar
  • 3 篇 tumors
  • 3 篇 accuracy
  • 3 篇 data models
  • 3 篇 robustness
  • 2 篇 neurons

机构

  • 5 篇 heidelberg
  • 4 篇 centre for medic...
  • 4 篇 munich center fo...
  • 4 篇 division of medi...
  • 3 篇 christian dopple...
  • 3 篇 computer science...
  • 3 篇 department of in...
  • 3 篇 paderborn univer...
  • 3 篇 heidelberg divis...
  • 3 篇 fraunhofer mevis...
  • 3 篇 department of co...
  • 3 篇 department of ra...
  • 3 篇 lausanne
  • 3 篇 ihu strasbourg s...
  • 3 篇 computer vision ...
  • 3 篇 centre for biome...
  • 3 篇 department of pa...
  • 3 篇 valeo vision sys...
  • 3 篇 interactive mach...
  • 3 篇 faculty of mathe...

作者

  • 11 篇 behnke sven
  • 6 篇 sven behnke
  • 6 篇 jäger paul f.
  • 5 篇 reid ian
  • 5 篇 isensee fabian
  • 5 篇 cremers daniel
  • 4 篇 bakas spyridon
  • 4 篇 memmesheimer rap...
  • 4 篇 zimmerer david
  • 4 篇 petersen jens
  • 4 篇 maier-hein klaus...
  • 3 篇 ming dong
  • 3 篇 van gool luc
  • 3 篇 galdran adrian
  • 3 篇 hüllermeier eyke
  • 3 篇 manjeet rege
  • 3 篇 hammer barbara
  • 3 篇 reinke annika
  • 3 篇 glocker ben
  • 3 篇 van ginneken bra...

语言

  • 167 篇 英文
  • 10 篇 其他
检索条件"机构=Computer Vision and Machine Learning Systems Group"
177 条 记 录,以下是71-80 订阅
排序:
GP-CONVCNP: Better generalization for convolutional conditional neural processes on time series data
arXiv
收藏 引用
arXiv 2021年
作者: Petersen, Jens Köhler, Gregor Zimmerer, David Isensee, Fabian Jäger, Paul F. Maier-Hein, Klaus H. Division of Medical Image Computing German Cancer Research Center Heidelberg Germany HIP Applied Computer Vision Lab Division of Medical Image Computing German Cancer Research Center Interactive Machine Learning Group German Cancer Research Center
Neural Processes (NPs) are a family of conditional generative models that are able to model a distribution over functions, in a way that allows them to perform predictions at test time conditioned on a number of conte... 详细信息
来源: 评论
machine learning with the Sugeno Integral: The Case of Binary Classification
arXiv
收藏 引用
arXiv 2020年
作者: Abbaszadeh, Sadegh Hüllermeier, Eyke Paderborn University Heinz Nixdorf Institute Department of Computer Science Intelligent Systems and Machine Learning Group Germany
In this paper, we elaborate on the use of the Sugeno integral in the context of machine learning. More specifically, we propose a method for binary classification, in which the Sugeno integral is used as an aggregatio... 详细信息
来源: 评论
learning Tversky similarity
arXiv
收藏 引用
arXiv 2020年
作者: Rahnama, Javad Hüllermeier, Eyke Paderborn University Heinz Nixdorf Institute Department of Computer Science Intelligent Systems and Machine Learning Group Germany
In this paper, we advocate Tversky’s ratio model as an appropriate basis for computational approaches to semantic similarity, that is, the comparison of objects such as images in a semantically meaningful way. We con... 详细信息
来源: 评论
MOT20: A benchmark for multi object tracking in crowded scenes
arXiv
收藏 引用
arXiv 2020年
作者: Dendorfer, Patrick Rezatofighi, Hamid Milan, Anton Shi, Javen Cremers, Daniel Reid, Ian Roth, Stefan Schindler, Konrad Leal-Taixé, Laura Dynamic Vision and Learning Group at TUM Munich Germany Australian Institute for Machine Learning School of Computer Science University of Adelaide Amazon Berlin Germany Photogrammetry and Remote Sensing Group ETH Zurich Switzerland Computer Vision Group at TUM Munich Germany Department of Computer Science Technische Universität Darmstadt Germany
Standardized benchmarks are crucial for the majority of computer vision applications. Although leaderboards and ranking tables should not be over-claimed, benchmarks often provide the most objective measure of perform... 详细信息
来源: 评论
Feature relevance bounds for ordinal regression  27
Feature relevance bounds for ordinal regression
收藏 引用
27th European Symposium on Artificial Neural Networks, Computational Intelligence and machine learning, ESANN 2019
作者: Pfannschmidt, Lukas Jakob, Jonathan Biehl, Michael Tino, Peter Hammer, Barbara Machine Learning Group Bielefeld University Germany Intelligent Systems Group University of Groningen Netherlands Computer Science University of Birmingham United Kingdom
The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model accuracy, the interpretation of these... 详细信息
来源: 评论
Big Data = Big Insights? Operationalising Brooks’ Law in a Massive GitHub Data Set
arXiv
收藏 引用
arXiv 2022年
作者: Gote, Christoph Schweitzer, Frank Mavrodiev, Pavlin Scholtes, Ingo Department of Systems Design ETH Zurich Weinbergstrasse 56/58 Zurich8092 Switzerland Department of Computer Science XV - Machine Learning for Complex Networks Julius-Maximilians-Universität Würzburg Friedrich-Bergius-Ring 30 Würzburg97076 Germany Data Analytics Group University of Zurich Binzmühlestrasse 14 Zurich8050 Switzerland
Massive data from software repositories and collaboration tools are widely used to study social aspects in software development. One question that several recent works have addressed is how a software project’s size ... 详细信息
来源: 评论
Predicting the Intention to Use Social Media Sites: A Hybrid SEM - machine learning Approach  6th
Predicting the Intention to Use Social Media Sites: A Hybrid...
收藏 引用
6th International Conference on Advanced machine learning Technologies and Applications, AMLTA 2021
作者: Salloum, Said A. AlAhbabi, Nafla Mahdi Nasser Habes, Mohammed Aburayya, Ahmad Akour, Iman School of Science Engineering and Environment University of Salford Salford United Kingdom Machine Learning and NLP Research Group Department of Computer Science University of Sharjah Sharjah United Arab Emirates Ministry of Education Dubai United Arab Emirates Faculty of Mass Communication - Department of Radio and Television Yarmouk University Irbid Jordan Quality and Corporate Development Office Dubai Health Authority Dubai United Arab Emirates Information Systems Department University of Sharjah Sharjah United Arab Emirates
The study conducted aims to form a conceptual model to calculate the pupils’ acceptance of social media in education and its factors. Although the amount of research done on the acceptance of social media application... 详细信息
来源: 评论
Latent event-predictive encodings through counterfactual regularization
arXiv
收藏 引用
arXiv 2021年
作者: Humaidan, Dania Otte, Sebastian Gumbsch, Christian Wu, Charley Butz, Martin V. Neuro-Cognitive Modeling Group Dep. of Psychology Dep. of Computer Science Sand 14 Tübingen72076 Germany Cluster of Excellence – Machine Learning for Science Maria-von-Linden-Str. 6 Tübingen72076 Germany Autonomous Learning Group MPI for Intelligent Systems Tübingen72076 Germany Human and Machine Cognition Lab Maria-von-Linden-Str. 6 Tübingen72076 Germany
A critical challenge for any intelligent system is to infer structure from continuous data streams. Theories of event-predictive cognition suggest that the brain segments sensorimotor information into compact event en... 详细信息
来源: 评论
Biomimetic robots promote the 3Rs Principle in animal testing
Biomimetic robots promote the 3Rs Principle in animal testin...
收藏 引用
2021 Conference on Artificial Life, ALIFE 2021
作者: Bierbach, David Francisco, Fritz Lukas, Juliane Landgraf, Tim Maxeiner, Moritz Romanczuk, Pawel Musiolek, Lea Hafner, Verena V. Krause, Jens Faculty of Life Sciences Division of Biology and Ecology of Fishes Humboldt Universität zu Berlin Berlin Germany Department of Biology and Ecology of Fishes Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany Dahlem Center for Machine Learning and Robotics Freie Universität Berlin Berlin Germany Faculty of Life Sciences Institute for Theoretical Biology Humboldt Universität zu Berlin Berlin Germany Adaptive Systems Group Department of Computer Science Humboldt-Universität zu Berlin Berlin Germany
In order to strengthen animal welfare, many countries require that experimenters follow the ‘3Rs Principle’ when designing animal experiments. The 3Rs call for a reduction in the number of animals used, the refineme... 详细信息
来源: 评论
Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
arXiv
收藏 引用
arXiv 2021年
作者: Ma, Wenchi Zhang, Tianxiao Wang, Guanghui Machine Learning Group Rekor Systems Inc. ColumbiaMD21046 United States Department of Electrical Engineering and Computer Science University of Kansas LawrenceKS66045 United States Department of Computer Science Ryerson University TorontoONM5B 2K3 Canada
Object Detection with Transformers (DETR) and related works reach or even surpass the highly-optimized FasterRCNN baseline with self-attention network architectures. Inspired by the evidence that pure self-attention p... 详细信息
来源: 评论