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检索条件"机构=Data Science and Computing Group"
486 条 记 录,以下是11-20 订阅
排序:
PraK Tool V3: Enhancing Video Item Search Using Localized Text and Texture Queries  31st
PraK Tool V3: Enhancing Video Item Search Using Localized Te...
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31st International Conference on Multimedia Modeling, MMM 2025
作者: Stroh, Michael Kloda, Vojtěch Verner, Benjamin Vopálková, Zuzana Buchmüller, Raphael Jäckl, Bastian Hajko, Jakub Lokoč, Jakub Visual Computing Department of Computer Science Faculty of Natural Sciences Konstanz University Konstanz Germany SIRET Research Group Department of Software Engineering Faculty of Mathematics and Physics Charles University Prague Czech Republic Data Analysis and Visualization Department of Computer Science Faculty of Natural Sciences Konstanz University Konstanz Germany
We present a third version of the PraK system designed around an effective text-image and image-image search model. The system integrates sub-image search options for localized context search for CLIP and image color/... 详细信息
来源: 评论
LazyReview A dataset for Uncovering Lazy Thinking in NLP Peer Reviews
arXiv
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arXiv 2025年
作者: Purkayastha, Sukannya Li, Zhuang Lauscher, Anne Qu, Lizhen Gurevych, Iryna Technical University of Darmstadt Germany School of Computing Technologies Royal Melbourne Institute of Technology Australia Data Science Group University of Hamburg Germany Department of Data Science & AI Monash University Australia
Peer review is a cornerstone of quality control in scientific publishing. With the increasing workload, the unintended use of ‘quick’ heuristics, referred to as lazy thinking, has emerged as a recurring issue compro... 详细信息
来源: 评论
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure
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IEEE Transactions on Dependable and Secure computing 2025年
作者: Deng, Zehang Sun, Ruoxi Xue, Minhui Wen, Sheng Camtepe, Seyit Nepal, Surya Xiang, Yang Swinburne University of Technology School of Science Computing and Engineering Technologies MelbourneVIC Australia CSIRO's Data61 Cybersecurity and Quantum Systems Group Australia
AI-enabled critical infrastructures (ACIs) integrate artificial intelligence (AI) technologies into various essential systems and services that are vital to the functioning of society, offering significant implication... 详细信息
来源: 评论
GAEM: Graph-driven Attention-based Entropy Model for LiDAR Point Cloud Compression
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Cui, Mingyue Zhong, Yuyang Feng, Mingjian Long, Junhua Ling, Yehua Xu, Jiahao Huang, Kai Sun Yat-sen University School of Computer Science and Engineering Guangzhou400100 China Sun Yat-sen University key Laboratory of Machine Intelligence and Advanced Computing Guangzhou400100 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Guangxi Transportation Science and Technology Group Co. Ltd Nanning530029 China
High-quality LiDAR point cloud (LPC) coding is essential for efficiently transmitting and storing the vast amounts of data required for accurate 3D environmental representation. The Octree-based entropy coding framewo... 详细信息
来源: 评论
Who Should I Trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models
Who Should I Trust? A Visual Analytics Approach for Comparin...
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Grid Edge Technologies Conference & Exposition (Grid Edge), IEEE PES
作者: Kaustav Bhattacharjee Soumya Kundu Indrasis Chakraborty Aritra Dasgupta Department of Data Science New Jersey Institute of Technology USA Optimization and Control Group Pacific Northwest National Laboratory USA Center for Applied Scientific Computing Lawrence Livermore National Laboratory USA
Net load forecasting is crucial for energy planning and facilitating informed decision-making regarding trade and load distributions. However, evaluating forecasting models' performance against benchmark models re... 详细信息
来源: 评论
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from...
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IEEE International Symposium on Biomedical Imaging
作者: Mark C. Eid Pak-Hei Yeung Madeleine K. Wyburd João F. Henriques Ana I.L. Namburete Visual Geometry Group University of Oxford U.K. Oxford Machine Learning in Neuroimaging Lab University of Oxford U.K. College of Computing and Data Science Nanyang Technological University Singapore
Two-dimensional (2D) freehand ultrasonography is a widely used medical imaging modality, particularly in obstetrics and gynaecology. However, it only captures 2D cross-sectional views of inherently 3D anatomies, losin... 详细信息
来源: 评论
K-ON: Stacking Knowledge On the Head Layer of Large Language Model
arXiv
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arXiv 2025年
作者: Guo, Lingbing Zhang, Yichi Bo, Zhongpu Chen, Zhuo Sun, Mengshu Zhang, Zhiqiang Zhang, Wen Chen, Huajun College of Computer Science and Technology Zhejiang University China ZJU-Ant Group Joint Lab of Knowledge Graph China Ant Group China School of Software Technology Zhejiang University China Zhejiang Key Laboratory of Big Data Intelligent Computing China
Recent advancements in large language models (LLMs) have significantly improved various natural language processing (NLP) tasks. Typically, LLMs are trained to predict the next token, aligning well with many NLP tasks... 详细信息
来源: 评论
Early Detection of Breast Cancer with Microcalcifications on Mammography Using Deep Learning
Early Detection of Breast Cancer with Microcalcifications on...
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computing and Information Technology (ICCIT-1441), 2020 International Conference on
作者: Ashraf Osman Ibrahim Hafia Mamoun Ismail Abuharaz Mohammed A Saleh Razan Alharith Department of Computer and Information Sciences Universiti Teknologi PETRONAS Seri Iskandar Perak Malaysia Depeartment of Computer Science Al Neelain University Khartoum Sudan DaTA Research Group Faculty of Computing and Informatics Universiti Malaysia Sabah Sabah Malaysia School of Computing and Artificial Intelligence Southwest Jiaotong University
Breast cancer is among the leading causes of death in women globally, making early detection critical for improving survival rates. Microcalcifications (MCs) on mammographic images are important markers for early dete... 详细信息
来源: 评论
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
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IEEE Transactions on Dependable and Secure computing 2025年
作者: Zhu, Mingyan Li, Yiming Guo, Junfeng Wei, Tao Xia, Shu-Tao Qin, Zhan Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Zhejiang University State Key Laboratory of Blockchain and Data Security Hangzhou310007 China University of Maryland Department of Computer Science College ParkMD20742 United States Ant Group Hangzhou310023 China Peng Cheng Laboratory Research Center of Artificial Intelligence Shenzhen518000 China Institute of Blockchain and Data Security Hangzhou310053 China
Currently, sample-specific backdoor attacks (SSBAs) are the most advanced and malicious methods since they can easily circumvent most of the current backdoor defenses. In this paper, we reveal that SSBAs are not suffi... 详细信息
来源: 评论
Squared families: Searching beyond regular probability models
arXiv
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arXiv 2025年
作者: Tsuchida, Russell Liu, Jiawei Ong, Cheng Soon Sejdinovic, Dino Data Science and AI Group Monash University ClaytonVIC3800 Australia School of Computing Australian National University CanberraACT2600 Australia Data61 CSIRO Australian National University CanberraACT2600 Australia School of Computer and Mathematical Sciences The University of Adelaide AdelaideSA5005 Australia
We introduce squared families, which are families of probability densities obtained by squaring a linear transformation of a statistic. Squared families are singular, however their singularity can easily be handled so... 详细信息
来源: 评论