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检索条件"机构=Data Engineering and Knowledge Management Group"
29 条 记 录,以下是1-10 订阅
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Iotpredictor: A Security Framework for Predicting Iot Device Behaviours and Detecting Malicious Devices Against Cyber Attacks
SSRN
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SSRN 2024年
作者: Kalaria, Rudri Kayes, A.S.M. Rahayu, Wenny Pardede, Eric Salehi, Ahmad S. La Trobe University VIC3086 Australia Data Engineering and Knowledge Management Group Australia
Securing Internet of Things (IoT) devices is paramount to mitigate unauthorised access and potential cyber threats, safeguarding the integrity of transmitted and processed data within interconnected devices. Identifyi... 详细信息
来源: 评论
Adaptive Context-Aware Access Control for Iot Environments Leveraging Fog Computing
SSRN
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SSRN 2023年
作者: Kalaria, Rudri Kayes, A.S.M. Rahayu, Wenny Pardede, Eric Salehi, Ahmad S. La Trobe University VIC3086 Australia Data Engineering and Knowledge Management Group United States
The increasing use of the Internet of Things (IoT) has driven the demand for enhanced and robust access control methods to protect resources from unauthorized access. A cloud-based access control approach brings signi... 详细信息
来源: 评论
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding
DC-Instruct: An Effective Framework for Generative Multi-int...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Xing, Bowen Liao, Lizi Huang, Minlie Tsang, Ivor W. Beijing Key Laboratory of Knowledge Engineering for Materials Science School of Computer and Communication Engineering University of Science and Technology Beijing China Singapore Management University Singapore Group Tsinghua University China CFAR and IHPC Agency for Science Technology and Research Singapore College of Computing and Data Science Nanyang Technological University Singapore
In the realm of multi-intent spoken language understanding, recent advancements have leveraged the potential of prompt learning frameworks. However, critical gaps exist in these frameworks: the lack of explicit modeli... 详细信息
来源: 评论
Neural networks for semantic gaze analysis in XR settings
arXiv
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arXiv 2021年
作者: Stubbemann, Lena Dürrschnabel, Dominik Refflinghaus, Robert Department of Quality and Process Management University of Kassel Germany Knowledge & Data Engineering Group University of Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Germany
Virtual-reality (VR) and augmented-reality (AR) technology is increasingly combined with eye-tracking. This combination broadens both fields and opens up new areas of application, in which visual perception and relate... 详细信息
来源: 评论
Simple and Deep Graph Convolutional Networks
arXiv
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arXiv 2020年
作者: Chen, Ming Wei, Zhewei Huang, Zengfeng Ding, Bolin Li, Yaliang School of Information Renmin University of China China Gaoling School of Articial Intelligence Renmin University of China China Beijing Key Lab of Big Data Management and Analysis Methods China MOE Key Lab of Data Engineering and Knowledge Engineering China School of Data Science Fudan University China Alibaba Group
Graph convolutional networks (GCNs) are a powerful deep learning approach for graph-structured data. Recently, GCNs and subsequent variants have shown superior performance in various application areas on real-world da... 详细信息
来源: 评论
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
arXiv
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arXiv 2022年
作者: Bao, Shilong Xu, Qianqian Yang, Zhiyong He, Yuan Cao, Xiaochun Huang, Qingming State Key Laboratory of Information Security Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS China School of Computer Science and Tech. University of Chinese Academy of Sciences China Alibaba Group China School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University China Key Laboratory of Big Data Mining and Knowledge Management CAS China Peng Cheng Laboratory China
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and Collaborative Filtering. Following the convention of RS, existin... 详细信息
来源: 评论
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
arXiv
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arXiv 2022年
作者: Hou, Wenzheng Xu, Qianqian Yang, Zhiyong Bao, Shilong He, Yuan Huang, Qingming Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Alibaba Group Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Artificial Intelligence Research Center Peng Cheng Laboratory Shenzhen China
It is well-known that deep learning models are vulnerable to adversarial examples. Existing studies of adversarial training have made great progress against this challenge. As a typical trait, they often assume that t... 详细信息
来源: 评论
The minority matters: a diversity-promoting collaborative metric learning algorithm  22
The minority matters: a diversity-promoting collaborative me...
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Proceedings of the 36th International Conference on Neural Information Processing Systems
作者: Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang State Key Laboratory of Information Security Institute of Information Engineering CAS and School of Cyber Security University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS School of Computer Science and Tech. University of Chinese Academy of Sciences Alibaba Group School of Cyber Science and Technology Shenzhen Campus Sun Yat-sen University Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS and School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Laboratory of Big Data Mining and Knowledge Management CAS and Peng Cheng Laboratory
Collaborative Metric Learning (CML) has recently emerged as a popular method in recommendation systems (RS), closing the gap between metric learning and Collaborative Filtering. Following the convention of RS, existin...
来源: 评论
Advances in Machine Learning for the Behavioral Sciences
arXiv
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arXiv 2019年
作者: Kliegr, Tomáš Bahník, Štěpán Fürnkranz, Johannes Department of Information and Knowledge Engineering Faculty of Informatics and Statistics University of Economics Prague Czech Republic Department of Management Faculty of Business Administration University of Economics Prague Czech Republic Computational Data Analytics Group Department of Computer Science Johannes Kepler Universität Linz Altenbergerstraße 66B Linz4040 Austria
The areas of machine learning and knowledge discovery in databases have considerably matured in recent years. In this article, we briefly review recent developments as well as classical algorithms that stood the test ... 详细信息
来源: 评论
Ontology Driven Semantic Profiling and Retrieval in Medical Information Systems
SSRN
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SSRN 2018年
作者: Bhatt, Mehul Rahayu, Wenny Soni, Sury Prakash Wouters, Carlo Cognitive Systems Lab Universität Bremen Bremen28359 Germany Data Engineering and Knowledge Management Group Department of Computer Science and Computer Engineering La Trobe University Australia
We propose the application of a novel sub-ontology extractionmethodology for achieving interoperability and improving the semantic validity of information retrieval in the medical information systems (MIS) domain. The... 详细信息
来源: 评论