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检索条件"机构=Knowledge and Data Engineering Group Computer Science Department"
1125 条 记 录,以下是311-320 订阅
排序:
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
arXiv
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arXiv 2023年
作者: Shen, Yuchen Zhang, Dong Zhang, Zhao Fu, Liyong Ye, Qiaolin College of Information Science and Technology & Artificial Intelligence Nanjing Forestry University Jiangsu Nanjing210037 China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Hefei230009 China College of Information Science and Technology Nanjing Forestry University Jiangsu Nanjing210037 China Institute of Forest Resource Information Techniques Chinese Academy of Forestry Beijing100091 China
In recent years, instance segmentation has garnered significant attention across various applications. However, training a fully-supervised instance segmentation model requires costly both instance-level and pixel-lev... 详细信息
来源: 评论
TOWARDS RELIABLE data-BASED OPTIMAL AND PREDICTIVE CONTROL USING EXTENDED DMD
arXiv
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arXiv 2022年
作者: Schaller, Manuel Worthmann, Karl Philipp, Friedrich Peitz, Sebastian Nüske, Feliks Technische Universität Ilmemau Institute of Mathematics Optimization-based Control Group Germany Paderborn University Department of Computer Science Data Science for Engineering Germany Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
While Koopman-based techniques like extended Dynamic Mode Decomposition are nowadays ubiquitous in the data-driven approximation of dynamical systems, quantitative error estimates were only recently established. To th... 详细信息
来源: 评论
MassSpecGym: A benchmark for the discovery and identification of molecules
arXiv
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arXiv 2024年
作者: Bushuiev, Roman Bushuiev, Anton de Jonge, Niek F. Young, Adamo Kretschmer, Fleming Samusevich, Raman Heirman, Janne Wang, Fei Zhang, Luke Dührkop, Kai Ludwig, Marcus Haupt, Nils A. Kalia, Apurva Brungs, Corinna Schmid, Robin Greiner, Russell Wang, Bo Wishart, David S. Liu, Li-Ping Rousu, Juho Bittremieux, Wout Rost, Hannes Mak, Tytus D. Hassoun, Soha Huber, Florian van der Hooft, Justin J.J. Stravs, Michael A. Böcker, Sebastian Sivic, Josef Pluskal, Tomáš Institute of Organic Chemistry and Biochemistry The Czech Academy of Sciences Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Czech Republic Bioinformatics Group Wageningen University & Research Netherlands Department of Computer Science University of Toronto Canada Institute for Computer Science Friedrich Schiller University Jena Germany Department of Computer Science University of Antwerp Belgium Department of Computing Science University of Alberta Canada Alberta Machine Intelligence Institute Canada Department of Molecular Genetics University of Toronto Canada Bright Giant GmbH Germany Department of Computer Science Tufts University United States Department of Biological Sciences University of Alberta Canada Department of Computer Science Aalto University Finland Mass Spectrometry Data Center National Institute of Standards and Technology United States Department of Chemical and Biological Engineering Tufts University United States Centre for Digitalisation and Digitality University of Applied Sciences Düsseldorf Germany Department of Biochemistry University of Johannesburg South Africa Eawag: Swiss Federal Institute of Aquatic Science and Technology Switzerland
The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throu... 详细信息
来源: 评论
Analysis of Panoramic Images using Deep Learning For Dental Disease Identification
Analysis of Panoramic Images using Deep Learning For Dental ...
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Artificial Intelligence and Smart Systems (ICAIS), International Conference on
作者: Mohamed Mallick Midhun Kumar A Sakthi Govindaraju A. Suresh Kumar Manivel Kandasamy P Anitha Rathinam Group of Institutions Coimbaotore Database Engineer Indian Biological Data Center Center for Biotechnology Faridabab School of Computing Science and Engineering Galogotias University Delhi NCR Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Unitedworld School of Computational Intelligence Karnavati University Gujarat India OASYS Institute of Technology Trichy India
Dental caries is a distinct disease strategy caused by the metabolic action of dental biofilm, which continually demineralizes lacquer and dentine. Its commonly known as tooth rot, is one of the most prevalent and lon... 详细信息
来源: 评论
Towards Feature Distribution Alignment and Diversity Enhancement for data-Free Quantization
Towards Feature Distribution Alignment and Diversity Enhance...
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IEEE International Conference on data Mining (ICDM)
作者: Yangcheng Gao Zhao Zhang Richang Hong Haijun Zhang Jicong Fan Shuicheng Yan School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education) & Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Department of Computer Science Harbin Institute of Technology (Shenzhen) Xili University Town Shenzhen China School of Data Science The Chinese University of Hong Kong Shenzhen China Shenzhen Research Institute of Big Data Shenzhen China National University of Singapore Singapore
To obtain lower inference latency and less memory footprint of deep neural networks, model quantization has been widely employed in deep model deployment, by converting the floating points to low-precision integers. H... 详细信息
来源: 评论
Generative AI for Advanced UAV Networking
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IEEE Network 2024年
作者: Sun, Geng Xie, Wenwen Niyato, Dusit Du, Hongyang Kang, Jiawen Wu, Jing Sun, Sumei Zhang, Ping Jilin University College of Computer Science and Technology Changchun130012 China Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun130012 China Nanyang Technological University College of Computing and Data Science Singapore639798 Singapore The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong999077 Hong Kong Guangdong University of Technology School of Automation Guangzhou510006 China Agency for Science Technology and Research Institute for Infocomm Research Singapore639798 Singapore Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China
With the impressive achievements of chatGPT and Sora, generative artificial intelligence (GAI) has received increasing attention. Not limited to the field of content generation, GAI is also widely used to solve the pr... 详细信息
来源: 评论
knowledge Cores in large formal contexts
arXiv
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arXiv 2020年
作者: Hanika, Tom Hirth, Johannes Knowledge and Data Engineering Group Dep. of Electrical Engineering and Computer Science University of Kassel
knowledge computation tasks are often infeasible for large data sets. This is in particular true when deriving knowledge bases in formal concept analysis (FCA). Hence, it is essential to come up with techniques to cop... 详细信息
来源: 评论
Cutting Force Similarity Calculation in Milling Process Using Siamese LSTM Structure
Cutting Force Similarity Calculation in Milling Process Usin...
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Mechatronics and Electrical engineering (MEEE), International Conference on
作者: Juheon Kwak Wonkeun Jo Soomin Lee Hyein Kim Jeongin Koo Dongil Kim Division of Artificial Intelligence and Software Ewha Womans University Seoul South Korea Computer Science and Engineering Chungnam National University Daejeon South Korea Manufacturing System R&BD Group Korea Institute of Industrial Technology Cheonan South Korea Department of Data Science Ewha Womans University Seoul South Korea
Cutting force is a key factor in machining processes. Cutting force similarity is required for several important issues, namely: stability evaluation, process control, and process parameter setting. This study employe... 详细信息
来源: 评论
Zero-knowledge Proof-based Practical Federated Learning on Blockchain
arXiv
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arXiv 2023年
作者: Xing, Zhibo Zhang, Zijian Li, Meng Liu, Jiamou Zhu, Liehuang Russello, Giovanni Asghar, Muhammad Rizwan The School of Computer Science The University of Auckland Auckland New Zealand The School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China Southeast Institute of Information Technology Beijing Institute of Technology Fujian351100 China Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230601 China Anhui Province Key Laboratory of Industry Safety and Emergency Technology Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology China The Department of Computer Science University of Surrey The School of Computer Science The University of Auckland Auckland New Zealand
Since the concern of privacy leakage extremely discourages user participation in sharing data, federated learning has gradually become a promising technique for both academia and industry for achieving collaborative l... 详细信息
来源: 评论
CoSimLex: A resource for evaluating graded word similarity in context  12
CoSimLex: A resource for evaluating graded word similarity i...
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12th International Conference on Language Resources and Evaluation, LREC 2020
作者: Armendariz, Carlos S. Purver, Matthew Ulcar, Matej Pollak, Senja Ljubešic, Nikola Robnik-Šikonja, Marko Granroth-Wilding, Mark Vaik, Kristiina Cognitive Science Research Group Queen Mary University of London London United Kingdom Department of Knowledge Technologies Jožef Stefan Institute Ljubljana Slovenia University of Ljubljana Faculty of Computer and Information Science Slovenia Department of Computer Science University of Helsinki Finland Department of Data Analysis Texta Estonia
State of the art natural language processing tools are built on context-dependent word embeddings, but no direct method for evaluating these representations currently exists. Standard tasks and datasets for intrinsic ... 详细信息
来源: 评论