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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15526 条 记 录,以下是371-380 订阅
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large Language Models-Based Robots for Enterprise Financial Statement Auditing  6
Large Language Models-Based Robots for Enterprise Financial ...
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6th International Conference on Machine Learning, Big data and Business Intelligence, MLBDBI 2024
作者: Yang, Yuanqi Zhang, Haichao Shen, Weidong Chen, Haoxuan Cao, Yi Zhao, Liangyu State Grid Jibei Electric Power Company Limited China Beijing Information Science and Technology University China
This article aims to enhance the digital and intelligent capabilities of enterprise financial statement audits by proposing and constructing optimization strategies and frameworks for audit robots based on large langu... 详细信息
来源: 评论
Exploring Multidisciplinary data visualization and data analysis with R  2
Exploring Multidisciplinary Data Visualization and Data Anal...
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2nd ieee International Conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024
作者: Shahare, Gayatri Manchalwar, Janvi Wankhede, Khushi Meshram, Shreya Kalbande, Kamlesh Wyawahare, Nikhil Nagpur India G H Raisoni College of Engineering Nagpur India
R is a proprietary programming language that has a large ecosystem of packages for data exploration and visualization, as well as strong community support. This article investigates a wide range of topics, including t... 详细信息
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Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
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ieee TRANSACTIONS ON PATTERN analysis AND MACHINE INTELLIGENCE 2025年 第5期47卷 4122-4139页
作者: He, Yuting Wang, Boyu Ge, Rongjun Chen, Yang Yang, Guanyu Li, Shuo Southeast Univ Key Lab New Generat Artificial Intelligence Techno Minist Educ Nanjing Peoples R China Case Western Reserve Univ Dept Biomed Engn Cleveland OH 44106 USA Western Univ Dept Comp Sci London ON N6A 3K7 Canada Southeast Univ Sch Instrument Sci & Engn Nanjing 210018 Peoples R China Ctr Rech en Informat Biomedicale Sino Francais CRI Nanjing 210024 Peoples R China Jiangsu Prov Joint Int Res Lab Med Informat Proc Nanjing 210024 Peoples R China Case Western Reserve Univ Dept Biomed Engn Dept Comp & Data Sci Cleveland OH 44106 USA
Dense contrastive representation learning (DCRL) has greatly improved the learning efficiency for image dense prediction tasks, showing its great potential to reduce the large costs of medical image collection and den... 详细信息
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Big data and data visualization Challenges
Big Data and Data Visualization Challenges
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2023 ieee International Conference on Big data, Bigdata 2023
作者: Muniswamaiah, Manoj Agerwala, Tilak Tappert, Charles C. Pace University Seidenberg School of CSIS White PlainsNY United States
Big data has gained attention due to its significant impact on society. With the growth of IoT, data has grown exponentially. Big data has played an essential role in decision-making. After collecting a large volume o... 详细信息
来源: 评论
A Survivor in the Era of large-Scale Pretraining: An Empirical Study of One-Stage Referring Expression Comprehension
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ieee TRANSACTIONS ON MULTIMEDIA 2024年 26卷 3689-3700页
作者: Luo, Gen Zhou, Yiyi Sun, Jiamu Sun, Xiaoshuai Ji, Rongrong Xiamen Univ Key Lab Multimedia Trusted Percept & Efficient Com Minist Educ China Fujian 361005 Peoples R China Peng Cheng Lab Shenzhen 518000 Peoples R China
One-stage Referring Expression Comprehension (REC) is a task that requires accurate alignment between text descriptions and visual content. In recent years, numerous efforts have been devoted to cross-modal learning f... 详细信息
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Visually Grounded Few-Shot Word Learning in Low-Resource Settings
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ieee-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2024年 32卷 2544-2554页
作者: Nortje, Leanne Oneata, Dan Kamper, Herman Stellenbosch Univ Dept Elect & Elect Engn ZA-7600 Stellenbosch South Africa Univ Politehn Bucuresti RO-060042 Bucharest Romania
We propose a visually grounded speech model that learns new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken query, we ask the model which image depic... 详细信息
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Semantic Understanding of Traffic Scenes with large Vision Language Models  35
Semantic Understanding of Traffic Scenes with Large Vision L...
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ieee Intelligent Vehicles symposium (IV)
作者: Jain, Sandesh Thapa, Surendrabikram Chen, Kuan-Ting Abbott, A. Lynn Sarkar, Abhijit Virginia Tech Bradley Dept Elect & Comp Engn Blacksburg VA 24061 USA Virginia Tech Transportat Inst Blacksburg VA 24061 USA
This paper investigates the integration of large Vision Language Models (LVLMs) with multi-sensor information, including visual and localization data from cameras and LiDAR data to a holistic understanding of traffic ... 详细信息
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A NOVEL CLOUD-NATIVE AND MULTI-PLATFORM PARALLELIZED SBAS-INSAR ALGORITHM
A NOVEL CLOUD-NATIVE AND MULTI-PLATFORM PARALLELIZED SBAS-IN...
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ieee International Geoscience and Remote Sensing symposium (IGARSS)
作者: Yu, Peichen Wang, Chao Tang, Yixian Zhang, Weikang You, Haihang Guan, Shaoyang Zou, Lichuan Zhang, Hong Chinese Acad Sci Aerosp Informat Res Inst Key Lab Digital Earth Sci Beijing 100094 Peoples R China Int Res Ctr Big Data Sustainable Dev Goals Beijing 100094 Peoples R China Chinese Acad Sci Inst Comp Technol Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Facing massive Synthetic Aperture Radar (SAR) data, the challenge of achieving rapid and efficient data processing has garnered attention. Currently, most time-series InSAR processing solutions are designed to operate... 详细信息
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Demo: Cohort visualization and analysis of Patients with Inflammatory Bowel Disease
Demo: Cohort Visualization and Analysis of Patients with Inf...
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14th ieee Workshop on Visual Analytics in Healthcare (VAHC)
作者: Sessler, David Ahmad, Salmah Kohlhammer, Jorn Fraunhofer IGD Darmstadt Germany Tech Univ Darmstadt Darmstadt Germany
This demo paper introduces the final version of a cohort analysis module for the support of treating patients with inflammatory bowel disease (IBD). It is not trivial to correctly diagnose the specific IBD in patients... 详细信息
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SG-RAD: A Visual Analytics System in Subgroup and Risk Factors analysis and Discovery  17
SG-RAD: A Visual Analytics System in Subgroup and Risk Facto...
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17th ieee Pacific visualization Conference, PacificVis 2024
作者: Josephine, Nathania Lee, Yi-Ju Chang, Pei-Chen Chen, Hsiang-Han Wang, Ko-Chih National Taiwan Normal University China Academia Sinica China
Subgroup studies can help identify risk factors that influence a detailed subpopulation of people and help provide insights into precision medicine. However, the complexity between patients of a specific disease and p... 详细信息
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