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191-200 订阅
排序:
Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing
arXiv
收藏 引用
arXiv 2022年
作者: Osterhoudt, Hunter Schneider, Courtney E. Mohammad, Haneef A. Shih, Minmei Harper, Alexandra E. Zhou, Leming Skidmore, Elizabeth R. Wang, Yanshan Department of Computer Science School of Computing and Information University of Pittsburgh United States Department of Occupational Therapy School of Health and Rehabilitation Sciences University of Pittsburgh United States Department of Information Science School of Computing and Information University of Pittsburgh United States Department of Health Information Management School of Health and Rehabilitation Sciences University of Pittsburgh United States Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States Intelligent Systems Program University of Pittsburgh PittsburghPA United States
Strategy training is a multidisciplinary rehabilitation approach that teaches skills to reduce disability among those with cognitive impairments following a stroke. Strategy training has been shown in randomized, cont... 详细信息
来源: 评论
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
arXiv
收藏 引用
arXiv 2024年
作者: Zhou, Peng Wang, Jianmin Li, Chunyan Wang, Zixu Liu, Yiping Sun, Siqi Lin, Jianxin Wei, Leyi Cai, Xibao Lai, Houtim Liu, Wei Wang, Longyue Liu, Yuansheng Zeng, Xiangxiang College of Information Science and Engineering Hunan University Changsha China The Interdisciplinary Graduate Program in Integrative Biotechnology Yonsei University Incheon21983 Korea Republic of School of Informatics Yunnan Normal University Kunming650500 China Department of Computer Science University of Tsukuba Tsukuba3058577 Japan Research Institute of Intelligent Complex Systems Fudan University Shanghai200433 China Shanghai AI Laboratory Shanghai200232 China Centre for Artificial Intelligence driven Drug Discovery Faculty of Applied Science Macao Polytechnic University China School of Informatics Xiamen University Xiamen China Tencent AI Lab China
While various models and computational tools have been proposed for structure and property analysis of molecules, generating molecules that conform to all desired structures and properties remains a challenge. Here, w... 详细信息
来源: 评论
Bayesian group factor analysis with structured sparsity
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2016年 第1期17卷
作者: Kevin Murphy Bernhard Schölkopf Shiwen Zhao Chuan Gao Sayan Mukherjee Barbara E. Engelhardt Google MPI for Intelligent Systems Computational Biology and Bioinformatics Program Department of Statistical Science Duke University Durham NC Department of Statistical Science Duke University Durham NC Departments of Statistical Science Computer Science Mathematics Duke University Durham NC Department of Computer Science Center for Statistics and Machine Learning Princeton University Princeton NJ
Latent factor models are the canonical statistical tool for exploratory analyses of low-dimensional linear structure for a matrix of p features across n samples. We develop a structured Bayesian group factor analysis ... 详细信息
来源: 评论
A DISTRIBUTED MEDIA ACCESS PROTOCOL FOR PACKET RADIO NETWORKS AND PERFORMANCE ANALYSIS .2. NETWORK SET-UP TIME AND DATA RATE
收藏 引用
INTERNATIONAL JOURNAL OF COMMUNICATION systems 1995年 第1期8卷 49-63页
作者: POND, LC LI, VOK Communication Sciences Electrical Engineering Systems University of Southern California Los Angeles CA 90089-2565 U.S.A. Lawrence C. Pond received the M.Sc. and Ph.D. degrees in electrical engineering from the University of Southern California in 1983 and 1990 respectively. Dr. Pond is currently a scientist at Hughes Space and Communications Company having joined in 1980. He has worked in the fields of communication system design mobile communication network and spacecraft payload design. He is currently working on the development of satellite-based ATM transport and switching architectures for BISDN and Defense Information System Network amlications. Dr. Pond is a member of IEEE. Victor O. K. Li was born in Hong Kong in 1954. He received his SB SM and Sc.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology Cambridge Massachusetts in 1977 1979 and 1981 respectively. Since February 1981 he has been with the University of Southern California (USC) LOS Angeles California where he is Professor of Electrical Engineering and Director of the USC Communication Sciences Institute. He has published 150 technical papers and has lectured and consulted extensively around the world. His research interests include high-speed communication networks personal communication networks intelligent networks distributed databases queueing theory graph theory and applied probability. Dr. Li is very active in the Institute of Electrical and Electronic Engineers (IEEE) having been a member of the Computer Communications Technical Committee since 1983 and having served as Chairman from 1987–1989. He served as Chairman of the Los Angeles Chapter of the IEEE Information Theory Group from 1983–1985. He is the Steering Committee Chair of the International Conference on Computer Communications and Networks (IC3 N) General Chair of the 1st Annual IC3N held in San Diego California in June 1992 General Chair and Technical Program Chair of the 4th IEEE Workshop on Comp
In this, the second part of a two-part paper, the required time for establishing a mobile packet radio network using the virtual circuit and time division multiple access protocol developed in Part 1 is analysed. Tool... 详细信息
来源: 评论
Technology Roadmap for Flexible Sensors
收藏 引用
ACS NANO 2023年 第6期17卷 5211-5295页
作者: Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitati... 详细信息
来源: 评论
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
arXiv
收藏 引用
arXiv 2024年
作者: Gao, Fengyi Zhang, Xingyu Sivarajkumar, Sonish Denny, Parker E. Aldhahwani, Bayan M. Visweswaran, Shyam Shi, Ryan Hogan, William Bove, Allyn Wang, Yanshan Department of Health Information Management University of Pittsburgh PittsburghPA United States Department of Communication Science and Disorders University of Pittsburgh PittsburghPA United States Intelligent Systems Program School of Computing and Information University of Pittsburgh PittsburghPA United States Department of Physical Therapy University of Pittsburgh PittsburghPA United States Department of Medical Rehabilitation Sciences Umm Al-Qura University Makkah Saudi Arabia Department of Biomedical Informatics University of Pittsburgh PittsburghPA United States Department of Computer Science University of Pittsburgh Medical Center PittsburghPA United States Data Science Institute Medical College of Wisconsin MilwaukeeWI United States Hillman Cancer Center University of Pittsburgh Medical Center PittsburghPA United States
Objective In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improve... 详细信息
来源: 评论
Preface
收藏 引用
CEUR Workshop Proceedings 2009年 467卷
作者: Cena, Federica Farzan, Rosta Lops, Pasquale Department of Computer Science University of Turin Corso Svizzera 185 10149 Torino Italy Intelligent Systems Program University of Pittsburgh 5108 Sennott Square Building 210 S. Bouquet St. Pittsburgh United States Department of Computer Science University of Bari Via E. Orabona 4 70126 Bari Italy
来源: 评论
ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT
收藏 引用
NAVAL ENGINEERS JOURNAL 1991年 第3期103卷 204-211页
作者: KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr
A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several know... 详细信息
来源: 评论
Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers
收藏 引用
Informatics in Medicine Unlocked 2023年 42卷
作者: Azim, Sayed Mehedi Sabab, Noor Hossain Nuri Noshadi, Iman Alinejad-Rokny, Hamid Sharma, Alok Shatabda, Swakkhar Dehzangi, Iman Center for Computational and Integrative Biology Rutgers University Camden 08102 NJ United States Department of Computer Science and Engineering United International University Plot 2 United City Madani Avenue BaddaDhaka 1212 Bangladesh Department of Bioengineering University of California Riverside 92507 CA United States BioMedical Machine Learning Lab The Graduate School of Biomedical Engineering The University of New South Wales (UNSW Sydney) Sydney NSW 2052 Australia UNSW Data Science Hub UNSW Sydney Sydney NSW 2052 Australia Health Data Analytics Program AI-enabled Processes Research Centre Macquarie University Sydney 2109 Australia Institute for Integrated and Intelligent Systems Griffith University Brisbane Australia Laboratory for Medical Science Mathematics RIKEN Center for Integrative Medical Sciences Yokohama 230-0045 Japan Department of Computer Science Rutgers University Camden 08102 NJ United States
The use of therapeutic peptides for the treatment of cancer has received tremendous attention in recent years. Anticancer peptides (ACPs) are considered new anticancer drugs which have several advantages over chemistr... 详细信息
来源: 评论
SRBench++: Principled Benchmarking of Symbolic Regression With Domain-Expert Interpretation
收藏 引用
IEEE Transactions on Evolutionary Computation 2024年 1-1页
作者: de Franca, F.O. Virgolin, M. Kommenda, M. Majumder, M.S. Cranmer, M. Espada, G. Ingelse, L. Fonseca, A. Landajuela, M. Petersen, B. Glatt, R. Mundhenk, N. Lee, C.S. Hochhalter, J.D. Randall, D.L. Kamienny, P. Zhang, H. Dick, G. Simon, A. Burlacu, B. Kasak, Jaan Machado, Meera Wilstrup, Casper Cavaz, W.G.L. Federal University of ABC Santo Andre Brazil Evolutionary Intelligence group Centrum Wiskunde and Informatica Science Park Amsterdam Netherlands University of Applied Sciences Upper Austria Hagenberg Austria Computational Health Informatics Program Boston Children’s Hospital Harvard Medical School Boston USA Center for Computational Astrophysics Flatiron Institute and Department of Astrophysical Sciences of Princeton University USA LASIGE Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Computational Engineering Division Lawrence Livermore National Laboratory Livermore USA Department of Mechanical Engineering University of Utah Utah USA Meta FAIR France Victoria University of Wellington School of Engineering and Computer Science New Zealand University of otago Department of Information Science New Zealand Institut für Angewandte Physik Universität TübingenMax Planck Institute for Intelligent Systems Tübingen Germany Abzu AI Orient Plads 1 Nordhavn Denmark
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main promise of this approach is that it may return an interpretable model that can be insightful to users, while m... 详细信息
来源: 评论