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151-160 订阅
排序:
LSTM-based Text Emotion Recognition Using Semantic and Emotional Word Vectors
LSTM-based Text Emotion Recognition Using Semantic and Emoti...
收藏 引用
Asian Conference on Affective Computing and intelligent Interaction (ACII Asia)
作者: Ming-Hsiang Su Chung-Hsien Wu Kun-Yi Huang Qian-Bei Hong Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Tainan Taiwan
This study proposes a long-short term memory (LSTM)-based approach to text emotion recognition based on semantic word vector and emotional word vector of the input text. For each word in an input text, the semantic wo... 详细信息
来源: 评论
Achieving reliable communication between Kafka and ROS through bridge codes
Achieving reliable communication between Kafka and ROS throu...
收藏 引用
International Conference on Advanced Robotics (ICAR)
作者: Luan Lucas Lourenço George Oliveira Patricia Della Méa Plentz Juha Röning Robotizando UFSC JoinvilleBrazil Graduate Program in Computer Science Federal University of Santa Catarina Florianópolis Brazil Biomimetics and Intelligent Systems Group - BISG University of Oulu Oulu Finland
The number of smart warehouses has increased in the last few years, mainly because of the enormous sales volume in e-commerce systems. Such physical environments are fully equipped with robots that solve the orders th... 详细信息
来源: 评论
Exploring Macroscopic Fluctuation of Facial Expression for Mood Disorder Classification
Exploring Macroscopic Fluctuation of Facial Expression for M...
收藏 引用
Asian Conference on Affective Computing and intelligent Interaction (ACII Asia)
作者: Qian-Bei Hong Chung-Hsien Wu Ming-Hsiang Su Kun-Yi Huang Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Tainan Taiwan Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan
In clinical diagnosis of mood disorder, a large portion of bipolar disorder patients (BDs) are misdiagnosed as unipolar depression (UDs). Clinicians have confirmed that BDs generally show "reduced affect''... 详细信息
来源: 评论
Syncgan: Synchronize the Latent Spaces of Cross-Modal Generative Adversarial Networks
Syncgan: Synchronize the Latent Spaces of Cross-Modal Genera...
收藏 引用
IEEE International Conference on Multimedia and Expo (ICME)
作者: Wen-Cheng Chen Chien-Wen Chen Min-Chun Hu Dept. of Computer Science and Information Engineering National Cheng Kung University Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Taiwan
Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. M... 详细信息
来源: 评论
Multimodal Temporal Modeling of Emotion using Physiological Signals
TechRxiv
收藏 引用
TechRxiv 2023年
作者: Hinduja, Saurabh Bilalpur, Maneesh Jivnani, Liza Vimalkumar Canavan, Shaun Dept. of Psychology University of Pittsburgh United States Dept. of Intelligent Systems Program University of Pittsburgh United States Dept. of Computer Science University of South Florida United States
Modeling of human emotion is a challenging problem that can require multiple signals types, as well as contextual information that has been obtained over time. Considering this, in this paper we present our approach, ... 详细信息
来源: 评论
Scalable and efficient neural speech coding: A hybrid design
arXiv
收藏 引用
arXiv 2021年
作者: Zhen, Kai Sung, Jongmo Lee, Mi Suk Beack, Seungkwon Kim, Minje Department of Computer Science and Cognitive Science Program Indiana University BloomingtonIN47408 United States Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of Dept. of Intelligent Systems Engineering Indiana University United States
We present a scalable and efficient neural waveform coding system for speech compression. We formulate the speech coding problem as an autoencoding task, where a convolutional neural network (CNN) performs encoding an... 详细信息
来源: 评论
eVision: Forecasting the spread of Tuberculosis in India with Deep Learning
eVision: Forecasting the spread of Tuberculosis in India wit...
收藏 引用
International Conference on Computational science and Computational Intelligence (CSCI)
作者: Juan Zuluaga Michael Castillo Divya Syal Andres Calle Navid Shaghaghi Department of Bioengineering (BIOE) Computer Science & Engineering (CSEN) Ethical Pragmatic & Intelligent Computing (EPIC) Laboratory in collaboration with the Healthcare Innovation & Design (HID) Program Information Systems & Analytics (ISA) and Mathematics & Computer Science (MCS) Santa Clara University Santa Clara California USA
Humanity has battled tuberculosis for all of recorded history. Some studies estimate that Mycobacterium tuberculosis may have been around as long as 3 million years but it was only in 1834 when Johann Schonlein offici...
来源: 评论
Psychoacoustic calibration of loss functions for efficient end-to-end neural audio coding
arXiv
收藏 引用
arXiv 2020年
作者: Zhen, Kai Lee, Mi Suk Sung, Jongmo Beack, Seungkwon Kim, Minje Department of Computer Science and Cognitive Science Program Indiana University BloomingtonIN47408 United States Electronics and Telecommunications Research Institute Daejeon34129 Korea Republic of Dept. of Intelligent Systems Engineering Indiana University United States
Conventional audio coding technologies commonly leverage human perception of sound, or psychoacoustics, to reduce the bitrate while preserving the perceptual quality of the decoded audio signals. For neural audio code... 详细信息
来源: 评论
Multi-domain learning by meta-learning: Taking optimal steps in multi-domain loss landscapes by inner-loop learning
arXiv
收藏 引用
arXiv 2021年
作者: Sicilia, Anthony Zhao, Xingchen Minhas, Davneet S. O’Connor, Erin E. Aizenstein, Howard J. Klunk, William E. Tudorascu, Dana L. Hwang, Seong Jae Intelligent Systems Program University of Pittsburgh United States Department of Computer Science Radiology Psychiatry - University of Pittsburgh United States Department of Diagnostic Radiology & Nuclear Medicine University of Maryland Baltimore United States
We consider a model-agnostic solution to the problem of Multi-Domain Learning (MDL) for multi-modal applications. Many existing MDL techniques are model-dependent solutions which explicitly require nontrivial architec... 详细信息
来源: 评论
AAAI 2008 workshop reports
AAAI 2008 workshop reports
收藏 引用
作者: Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West
AAAI was pleased to present the AAAI-08 Workshop program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Work... 详细信息
来源: 评论