Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework
机构 * Vanderbilt University(范德堡大学) ; Vanderbilt University Medical Center(范德堡大学医学中心)
专题命中 跨模态检索 :multi-modal(abstract)
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
机构 * Vanderbilt University(范德堡大学) ; Vanderbilt University Medical Center(范德堡大学医学中心)
专题命中 跨模态检索 :multi-modal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
机构 * Department of Biostatistics & Bioinformatics, Duke University(生物统计学与生物信息学系,杜克大学)
专题命中 跨模态检索 :multi-modal(abstract)
Comments accepted by Machine Learning for Healthcare 2025
机构 * Bredesen Center for Interdisciplinary Research, University of Tennessee, Knoxville, USA(跨学科研究中心,田纳西大学,诺克斯维尔,美国) ; University of Tennessee-Oak Ridge Innovation Institute, University of Tennessee, Knoxville, USA(田纳西大学橡树岭创新研究所,田纳西大学,诺克斯维尔,美国)
专题命中 跨模态检索 :multi-modal(abstract)
Comments 10 pages, 2 figures
专题命中 跨模态检索 :multimodal(abstract)
Comments This paper has been submitted to the Transportation Research Board (TRB) for consideration for presentation at the 2026 Annual Meeting
机构 * School of Computer Science and Technology, Xi'an Jiaotong University(西安交通大学计算机科学与技术学院) ; Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi’an Jiaotong University(陕西省大数据知识工程重点实验室) ; School of Distance Education, Xi’an Jiaotong University(西安交通大学继续教育学院) ; University of Virginia(弗吉尼亚大学)
专题命中 跨模态检索 :cross-modal(abstract)
Comments Accepted by ECAI 2025
专题命中 跨模态检索 :cross-modal(abstract)
Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship and affiliation
机构 * Department of Mechanical and Industrial Engineering University of Toronto(机械与工业工程系多伦多大学)
专题命中 跨模态检索 :multimodal(abstract)
Comments 19 pages, conference
机构 * Computer Science University of Texas at El Paso(计算机科学德克萨斯大学埃尔帕索分校) ; School of Computing Southern Illinois University(计算学院南方伊利诺伊大学)
专题命中 跨模态检索 :cross-modal(abstract)
Comments We are submitting this paper to ICWSM 2026 conference on September 15th, 2025
专题命中 跨模态检索 :multi-modal(abstract)
Comments Accepted to the Machine Learning for Astrophysics Workshop co-located at ICML 2025 and selected for a spotlight talk
专题命中 跨模态检索 :multimodal(abstract)
专题命中 跨模态检索 :cross-modal(abstract)
Comments 6 pages, 2 figures, ITW2025
机构 * School of Computer Science and Engineering, Sun Yat-sen University, China(中山大学计算机科学与工程学院) ; Stanford University, USA(斯坦福大学) ; Imperial College London, UK(伦敦帝国理工学院)
专题命中 跨模态检索 :MLLM(abstract)
Comments Project Page: https://isee-laboratory.github.io/TypeTele
机构 * AI for Science Interdisciplinary Research Center(人工智能科学交叉研究中心) ; School of Computer Science, Northwestern Polytechnical University(西北工业大学计算机学院) ; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology(大数据存储与管理重点实验室,西北工业大学,工业和信息化部)
专题命中 跨模态检索 :multimodal(abstract)
专题命中 跨模态检索 :multimodal(abstract)
Comments published in sigir2023
机构 * organization= Department of Aerospace \& Mechanical Engineering, University of Southern California , city= Los Angeles , postcode= 90089 , state= California , country= USA
专题命中 跨模态检索 :multi-modal(abstract)
专题命中 跨模态检索 :multimodal(abstract)
机构 * Dipartimento di Scienze Matematiche, Politecnico di Torino, Italy(都灵理工大学数学科学系) ; Istituto Nazionale di Fisica Nucleare, Sezione di Torino, Italy(意大利国家核物理研究所都灵分部) ; Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, France(法国高等科学研究所物理实验室)
专题命中 跨模态检索 :multi-modal(abstract)
专题命中 跨模态检索 :multimodal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
Comments This work has been accepted by Pattern Recognition
专题命中 跨模态检索 :multimodal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
Comments Accepted at WWW '25
专题命中 跨模态检索 :cross-modal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
Comments 11 pages, 9 figures
专题命中 跨模态检索 :multimodal(abstract)
Comments Accepted in SIGIR 2025 (Demo)
专题命中 跨模态检索 :cross-modal(abstract)
专题命中 跨模态检索 :multimodal(abstract)
专题命中 跨模态检索 :cross-modal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
专题命中 跨模态检索 :multi-modal(abstract)
Comments 14 pages, 6 figures