咨询与建议

限定检索结果

文献类型

  • 139 篇 会议
  • 75 篇 期刊文献

馆藏范围

  • 214 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 155 篇 工学
    • 120 篇 计算机科学与技术...
    • 102 篇 软件工程
    • 24 篇 控制科学与工程
    • 23 篇 信息与通信工程
    • 13 篇 生物医学工程(可授...
    • 12 篇 生物工程
    • 10 篇 电气工程
    • 9 篇 光学工程
    • 6 篇 化学工程与技术
    • 5 篇 材料科学与工程(可...
    • 5 篇 航空宇航科学与技...
    • 4 篇 仪器科学与技术
    • 4 篇 土木工程
  • 81 篇 理学
    • 49 篇 数学
    • 24 篇 统计学(可授理学、...
    • 18 篇 生物学
    • 14 篇 物理学
    • 7 篇 化学
    • 4 篇 系统科学
  • 40 篇 管理学
    • 24 篇 图书情报与档案管...
    • 15 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 14 篇 医学
    • 12 篇 临床医学
    • 8 篇 基础医学(可授医学...
    • 4 篇 公共卫生与预防医...
    • 4 篇 药学(可授医学、理...
  • 11 篇 教育学
    • 11 篇 教育学
  • 10 篇 法学
    • 9 篇 社会学
  • 7 篇 文学
    • 6 篇 中国语言文学
    • 6 篇 外国语言文学
  • 5 篇 农学

主题

  • 10 篇 bayesian network...
  • 8 篇 computer science
  • 8 篇 students
  • 8 篇 sentiment analys...
  • 5 篇 semantics
  • 5 篇 feature extracti...
  • 5 篇 artificial intel...
  • 5 篇 intelligent syst...
  • 4 篇 learning algorit...
  • 4 篇 speech recogniti...
  • 4 篇 computer vision
  • 3 篇 conferences
  • 3 篇 machine translat...
  • 3 篇 reinforcement le...
  • 3 篇 markov processes
  • 3 篇 databases
  • 3 篇 machine learning
  • 3 篇 emotion recognit...
  • 3 篇 mathematical mod...
  • 3 篇 robustness

机构

  • 30 篇 intelligent syst...
  • 30 篇 intelligent syst...
  • 18 篇 department of co...
  • 16 篇 department of co...
  • 8 篇 decision systems...
  • 7 篇 intelligent syst...
  • 6 篇 intelligent syst...
  • 6 篇 intelligent cont...
  • 6 篇 department of co...
  • 5 篇 intelligent syst...
  • 5 篇 intelligent syst...
  • 4 篇 school of comput...
  • 4 篇 magna design net...
  • 4 篇 intelligent syst...
  • 4 篇 rudn university ...
  • 4 篇 school of law un...
  • 3 篇 school of law du...
  • 3 篇 department of co...
  • 3 篇 computer science...
  • 3 篇 dept. of compute...

作者

  • 23 篇 wiebe janyce
  • 15 篇 hauskrecht milos
  • 11 篇 druzdzel marek j...
  • 9 篇 wilson theresa
  • 9 篇 kovashka adriana
  • 8 篇 deng lingjia
  • 8 篇 hwa rebecca
  • 7 篇 ashley kevin d.
  • 7 篇 pollack martha e...
  • 7 篇 savelka jaromir
  • 7 篇 sicilia anthony
  • 6 篇 mikhail khachumo...
  • 6 篇 ashley kevin
  • 6 篇 litman diane
  • 6 篇 mohit behrang
  • 6 篇 somasundaran swa...
  • 5 篇 kveton branislav
  • 5 篇 khachumov mikhai...
  • 5 篇 hwang seong jae
  • 5 篇 buettner kyle

语言

  • 203 篇 英文
  • 10 篇 其他
  • 1 篇 中文
检索条件"机构=Computer Science and Intelligent Systems Program"
214 条 记 录,以下是81-90 订阅
排序:
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval
arXiv
收藏 引用
arXiv 2024年
作者: Buettner, Kyle Kovashka, Adriana Intelligent Systems Program Department of Computer Science University of Pittsburgh United States
There is a scarcity of multilingual vision-language models that properly account for the perceptual differences that are reflected in image captions across languages and cultures. In this work, through a multimodal, m... 详细信息
来源: 评论
Improvement of Spatial Ambiguity in Multi-Channel Speech Separation Using Channel Attention
Improvement of Spatial Ambiguity in Multi-Channel Speech Sep...
收藏 引用
2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
作者: Hong, Qian-Bei Wu, Chung-Hsien Nguyen, Thanh Binh Wang, Hsin-Min National Cheng Kung University and Academia Sinica Graduate Program of Multimedia Systems and Intelligent Computing Tainan Taiwan National Cheng Kung University Department of Computer Science and Information Engineering Tainan Taiwan
Multi-channel speech separation has been successfully applied in a complex real-world environment such as the far-field condition. The common solution to deal with the far-field condition is using a multi-channel sign... 详细信息
来源: 评论
Implementing and Improving a method for non-invasive elicitation of probabilities for bayesian networks  07
Implementing and Improving a method for non-invasive elicita...
收藏 引用
International Conference on computer systems and Technologies and Workshop for PhD Students in Computing, CompSysTech '07
作者: De Jongh, Martinus Druzdzel, Marek Rothkrantz, Leon Faculty of Electrical Engineering Mathematics and Computer Science Man-Machine Interaction Group Delft University of Technology Delft Netherlands Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA United States
Knowledge elicitation is difficult for expert systems that are based on probability theory. The elicitation of probabilities for a probabilistic model requires a lot of time and interaction between the knowledge engin... 详细信息
来源: 评论
Large language models for diabetes training:a prospective study
收藏 引用
science Bulletin 2025年 第6期70卷 934-942页
作者: Haoxuan Li Zehua Jiang Zhouyu Guan Yuqian Bao Yuexing Liu Tingting Hu Jiajia Li Ruhan Liu Liang Wu Di Cheng Hongwei Ji Yong Wang Ya-Xing Wang Carol Y.Cheung Yingfeng Zheng Jihong Wang Zhen Li Weibing Wu Cynthia Ciwei Lim Yong Mong Bee Hong Chang Tan Elif I.Ekinci David C.Klonoff Justin B.Echouffo-Tcheugui Nestoras Mathioudakis Leonor Corsino Rafael Simó Charumathi Sabanayagam Gavin Siew Wei Tan Ching-Yu Cheng Tien Yin Wong Huating Li Chun Cai Lijuan Mao Lee-Ling Lim Yih-Chung Tham Bin Sheng Weiping Jia Shanghai University of Sport Shanghai 200438China School of Clinical Medicine Beijing Tsinghua Changgung HospitalTsinghua MedicineTsinghua UniversityBeijing 100084China Beijing Visual Science and Translational Eye Research Institute(BERI) Tsinghua MedicineTsinghua UniversityBeijing 100084China Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and EngineeringSchool of ElectronicInformationand Electrical EngineeringShanghai Jiao Tong UniversityDepartment of Endocrinology and MetabolismShanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai 200240China MoE Key Lab of Artificial Intelligence Artificial Intelligence InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology the Affiliated Hospital of Qingdao UniversityQingdao 266011China CEMS NCMISHCMSMADISAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematics University of Chinese Academy of SciencesChinese Academy of SciencesBeijing 100049China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology and Visual Sciences Key LaboratoryBeijing 100730China k.Department of Ophthalmology and Visual Sciences The Chinese University of Hong KongHong Kong 999077China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060China Department of Renal Medicine Singapore General HospitalSingHealth-Duke Academic Medical CentreSingapore169
Diabetes poses a considerable global health challenge,with varying levels of diabetes knowledge among healthcare professionals,highlighting the importance of diabetes *** Language Models(LLMs)provide new insights into... 详细信息
来源: 评论
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions  4
Adding Argumentation into Human Evaluation of Long Document ...
收藏 引用
4th Workshop on Human Evaluation of NLP systems, HumEval 2024
作者: Elaraby, Mohamed Xu, Huihui Gray, Morgan Ashley, Kevin Litman, Diane Department of Computer Science School of Computing and Information United States Learning Research and Development Center United States Intelligent Systems Program School of Computing Information University of Pittsburgh PittsburghPA United States
Human evaluation remains the gold standard for assessing abstractive summarization. However, current practices often prioritize constructing evaluation guidelines for fluency, coherence, and factual accuracy, overlook... 详细信息
来源: 评论
Plan generation, plan management, and the design of computational agents
Plan generation, plan management, and the design of computat...
收藏 引用
International Conference on Multi Agent systems
作者: M.E. Pollack Department of Computer Science Intelligent Systems Program University of Pittsburgh Pittsburgh PA USA
A significant amount of prior research effort in the field of artificial intelligence has gone into the design and analysis of planning algorithms. For the most part, the work has been guided by several strong, simpli... 详细信息
来源: 评论
An interactive tool for natural language processing on clinical text
arXiv
收藏 引用
arXiv 2017年
作者: Trivedi, Gaurav Pham, Phuong Chapman, Wendy Hwa, Rebecca Wiebe, Janyce Hochheiser, Harry Intelligent Systems Program University of Pittsburgh Dept. of Computer Science University of Pittsburgh Dept. of Biomed. Informatics University of Utah Dept. of Computer Science and Intelligent Systems Program University of Pittsburgh
Natural Language Processing (NLP) systems often make use of machine learning techniques that are unfamiliar to endusers who are interested in analyzing clinical records. Although NLP has been widely used in extracting... 详细信息
来源: 评论
Causal Discovery Using A Bayesian Local Causal Discovery Algorithm
收藏 引用
11th World Congress on Medical Informatics, MEDINFO 2004
作者: Mani, Subramani Cooper, Gregory F. Center for Biomedical Informatics The Intelligent Systems Program University of Pittsburgh PA15213 United States Department of Computer Science University of Wisconsin-Milwaukee MilwaukeeWI53201 United States
This study focused on the development and application of an efficient algorithm to induce causal relationships from observational data. The algorithm, called BLCD, is based on a causal Bayesian network framework BLCD ... 详细信息
来源: 评论
Using LLMs to Discover Legal Factors  37
Using LLMs to Discover Legal Factors
收藏 引用
37th Annual Conference on Legal Knowledge and Information systems, JURIX 2024
作者: Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin Intelligent Systems Program University of Pittsburgh United States School of Law University of Pittsburgh United States School of Computer Science Carnegie Mellon University United States School of Law Duquesne University United States
Factors are a foundational component of legal analysis and computational models of legal reasoning. These factor-based representations enable lawyers, judges, and AI and Law researchers to reason about legal cases. In... 详细信息
来源: 评论
Toward Automatically Identifying Legally Relevant Factors  35
Toward Automatically Identifying Legally Relevant Factors
收藏 引用
35th International Conference on Legal Knowledge and Information systems, JURIX 2022
作者: Gray, Morgan Savelka, Jaromir Oliver, Wesley Ashley, Kevin Intelligent Systems Program University of Pittsburgh United States School of Law University of Pittsburgh United States School of Computer Science Carnegie Mellon University United States School of Law Duquesne University United States
In making legal decisions, courts apply relevant law to facts. While the law typically changes slowly over time, facts vary from case to case. Nevertheless, underlying patterns of fact may emerge. This research focuse... 详细信息
来源: 评论