检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,581 篇 会议
28 册 图书
23 篇 期刊文献

馆藏范围

1,632 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,110 篇 工学
- 1,018 篇 计算机科学与技术...
- 750 篇 软件工程
- 245 篇 信息与通信工程
- 90 篇 电气工程
- 69 篇 控制科学与工程
- 67 篇 生物工程
- 42 篇 化学工程与技术
- 24 篇 仪器科学与技术
- 24 篇 安全科学与工程
- 23 篇 生物医学工程（可授...
- 21 篇 交通运输工程
- 19 篇 机械工程
- 17 篇 网络空间安全
- 16 篇 电子科学与技术（可...
- 15 篇 建筑学
360 篇 管理学
- 288 篇 图书情报与档案管...
- 107 篇 管理科学与工程(可...
- 49 篇 工商管理
343 篇 理学
- 131 篇 数学
- 124 篇 物理学
- 75 篇 生物学
- 55 篇 统计学（可授理学、...
- 48 篇 系统科学
- 41 篇 化学
41 篇 教育学
- 41 篇 教育学
38 篇 法学
- 32 篇 社会学
37 篇 文学
- 31 篇 外国语言文学
30 篇 医学
- 27 篇 临床医学
- 22 篇 基础医学(可授医学...
19 篇 农学
- 17 篇 作物学
14 篇 经济学
4 篇 军事学

主题

183 篇 natural language...
65 篇 natural language...
55 篇 semantics
50 篇 web services
46 篇 sentiment analys...
42 篇 computational mo...
42 篇 accuracy
41 篇 deep learning
40 篇 information retr...
37 篇 data mining
36 篇 classification (...
35 篇 machine learning
35 篇 artificial intel...
33 篇 ontology
31 篇 speech recogniti...
31 篇 training
29 篇 data models
28 篇 semantic web
26 篇 search engines
26 篇 feature extracti...

机构

7 篇 spoken language ...
7 篇 sri lanka instit...
7 篇 faculty of compu...
6 篇 faculty of infor...
4 篇 key laboratory o...
4 篇 fujian yirong in...
4 篇 korea univ nat l...
4 篇 school of inform...
4 篇 international in...
4 篇 information engi...
3 篇 big data and art...
3 篇 graduate school ...
3 篇 national univers...
3 篇 institute of art...
3 篇 carnegie mellon ...
3 篇 school of inform...
3 篇 chitkara univers...
3 篇 beijing univ pos...
3 篇 ipswich
3 篇 department of in...

作者

7 篇 nakagawa seiichi
5 篇 ren fuji
5 篇 zhao tiejun
5 篇 rim hae-chang
4 篇 heyan huang
4 篇 shikano kiyohiro
4 篇 fuji ren
4 篇 liu ting
3 篇 li li
3 篇 rykowski jarogni...
3 篇 nakamura satoshi
3 篇 zheng dequan
3 篇 ngoc thanh nguye...
3 篇 medhat walaa
3 篇 kinshuk
3 篇 bogdan trawiński
3 篇 sun xu
3 篇 mizera-pietraszk...
3 篇 bollegala danush...
3 篇 kitsuregawa masa...

语言

1,592 篇 英文
37 篇 其他
11 篇 中文

检索条件"任意字段=6th International Conference on Advanced Language Processing and Web Information Technology"

共 1632 条记录，以下是1591-1600 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

An Improved Fractional Differential Edge Detection Algorithm

An Improved Fractional Differential Edge Detection Algorithm

引用

2016 6th international conference on Machinery,Materials,Environment,Biotechnology and Computer(MMEBC 2016)

作者： Qingli Chen Guo Huang Tao Men Hongyin Qin Mingrong Wang Sichuan Province University Key Laboratory of Internet Natural Language Intelligent ProcessingLeshan Normal University

In order to extract detailed edge information, a multi-scale fractional differential edge detection algorithm is proposed in this paperFirstly, the G-L factional differential is applied to enhance image with two different fraction differential orders(one is small and the other is big), then, the edges can be gotten by subtraction the two enhanced imagesExperiments and results showed that the proposed method can not only efficiently detect the edges information of simple objects, but also can detect the edges of complex objects.

关键词： Edge Detection Fractional Differential Image Enhancement Multi-scale

来源：评论

学校读者我要写书评

暂无评论

Cancer Survival Prediction by Multimodal Disentangled Representation Learning 23

Cancer Survival Prediction by Multimodal Disentangled Repres...

引用

Proceedings of the 2023 6th international conference on Machine Learning and Natural language processing

作者： Ying Xu Honglei Liu Yi Shi Ao Li Minghui Wang School of Information Science and Technology University of Science and Technology of China China

ISBN: (纸本)9798400709241

Precise prediction of cancer survival is of paramount importance in aiding clinicians in formulating tailored treatment strategies. Such strategies have the potential to enhance the quality of life for individuals with cancer and lower the mortality rates associated with this disease. Recent research has underscored the significance of integrating data from various sources, including genomics and histopathologic images, as a pivotal step towards enhancing the accuracy of cancer survival prediction. Although these studies have achieved promising results, utilizing the consensus and complementarity of multimodal data for efficient learning of comprehensive multimodal representations poses an enormous challenge. In response to this challenge, we propose a Multimodal Disentangled Representation Learning (MMDR) method, aimed at acquiring modality-specific and shared representations, thus affording a comprehensive perspective of multimodal data. Empirical findings confirm that this approach yields notable enhancements in performance when compared to alternative methodologies.

关键词： cancer survival prediction disentanglement multimodal representation learning

来源：评论

学校读者我要写书评

暂无评论

MEG-MEASUREMENTS OF BRAIN ACTIVITY REVEAL thE LINK BETWEEN HUMAN SPEECH PRODUCTION AND PERCEPTION

MEG-MEASUREMENTS OF BRAIN ACTIVITY REVEAL THE LINK BETWEEN H...

引用

6～(th) international conference on Spoken language processing

作者： PaavoAlku HannuTiitinen KalleJ.Palomaki PaiviSivonen Helsinki University of Technology Acoustics Lab Box 3000 Fin-02015 TKK Finland University of Helsinki Dept. Psychology Finland Helsinki University of Technology Acoustics Lab Box 3000 Fin-02015 TKK Finland University of Helsinki Dept. Psychology Finland

Whether human speech perception depends on a biologically based link between production and perception or whether it is best characterised as a series of acoustic, phonetic, and semantic transformations has remained an unresolved issue. We addressed this question via the use of objective brain research methods combined with advanced stimulus production methodology. We removed the contribution of the periodic glottal excitation, produced by the vocal folds in the human larynx, from vowel stimuli and found that magnetic responses generated in the auditory cortex respond to this removal. the amplitude of the main deflection of the magnetic responses, Nlm, decreased even though the formant settings, intensity, and duration of the stimuli were identical. Hence, because human brain activity attenuates if vowel stimuli are "distorted" by the removal of their naturally occurring periodic excitation we conclude that speech production and perception mechanisms in the human cortex are fundamentally interrelated.

关键词： MEG-MEASUREMENTS OF BRAIN ACTIVITY REVEAL thE LINK BETWEEN HUMAN SPEECH PRODUCTION AND PERCEPTION

来源：评论

学校读者我要写书评

暂无评论

TABOR-A NORWEGIAN SPOKEN DIALOGUE SYSTEM FOR BUS TRAVEL INFORMAFION

TABOR-A NORWEGIAN SPOKEN DIALOGUE SYSTEM FOR BUS TRAVEL INFO...

引用

6～(th) international conference on Spoken language processing

作者： Magne H.Johnsen Torb0rn Svendsen Tore Amble Trym Holter Erik Harborg Norwegian University of Science and Technology (NTNU) N-7491 Trondheim Norway Norwegian University of Science and Technology (NTNU) N-7491 Trondheim Norway Norwegian University of Science and Technology (NTNU) N-7491 Trondheim Norway SINTEF Telecom and Informatics N-7465 Trondheim Norway SINTEF Telecom and Informatics N-7465 Trondheim Norway

this paper describes the development and testing of a pilot spoken dialogue system for bus travel information in the city of Trondheim, Norway. the system driven dialogue was designed on the basis of analyzed recordings from both human-human operator dialogues, Wizard-of-Oz (WoZ) dialogues, and a text-based in- quiry system for the web. the dialogue system employs a flexible speech recognizer and an utterancc concatenation procedure for speech output. Even though the system is intended for research only, it has been accessible through a public phone number since October 1999. During this period all dialogues have been recorded. From these, approximately 350 dialogues were selected for annotation and comparison to 120 dialogues from the WoZ recordings. the experiments showed that the turn error rate was more than twice as large for the real dialogues as for the WoZ calls, i.e., 13.3% versus 5.7%. thus, the WoZ results did not give a reliable estimate for the true performance. Our experiments indicate that the current flexible speech recognizer should be further opti- mized.

关键词： TABOR-A NORWEGIAN SPOKEN DIALOGUE SYSTEM FOR BUS TRAVEL INFORMAFION

来源：评论

学校读者我要写书评

暂无评论

Multi-view Representation Learning for Histologic Subtype Classification of Lung Cancer 23

Multi-view Representation Learning for Histologic Subtype Cl...

引用

Proceedings of the 2023 6th international conference on Machine Learning and Natural language processing

作者： Ziyu Gao Yin Luo Ying Xu Ao Li Minghui Wang School of Information Science and Technology University of Science and Technology of China China

ISBN: (纸本)9798400709241

It is crucial to accurately discerning adenocarcinoma (ADC) from squamous cell carcinoma (SCC) histological subtypes utilizing computed tomography (CT) scans for guiding treatment decisions among individuals with non-small cell lung cancer (NSCLC). While the existing multi-view deep learning methods have shown promise in this domain, they usually struggle to mine common information efficiently due to the presence of intra-view interference, resulting in limited performance. In this research, we introduce an efficient multi-view representation learning technique to eliminate interference, thus obtaining higher-quality multi-view representations. Our approach involves the implementation of attention-based representation decoupling to project axial, coronal and sagittal views into both view-invariant and view-specific subspaces, respectively. Moreover, we employ a novel adversarial loss to ensure that the learned peculiar representations are not tailored to histological subtype classification, thereby effectively eliminating intra-view interference. Extensive experiments confirm our method's effectiveness in addressing the challenges that existing multi-view methods cannot resolve, consistently outperforming state-of-the-art techniques.

关键词：

来源：评论

学校读者我要写书评

暂无评论

EmoDamp: A Model for Speaker Emotion Inference in Dialogues with Bidirectional Emotion Damping Mechanism 23

EmoDamp: A Model for Speaker Emotion Inference in Dialogues ...

引用

Proceedings of the 2023 6th international conference on Algorithms, Computing and Artificial Intelligence

作者： Yueqi Jiang Xiao Sun Jiamin Wang School of Computer Science and Information Engineering Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China and Institute of Artificial Intelligence Hefei Comprehensive National Science Center China

ISBN: (纸本)9798400709203

Emotion analysis in conversation has been a popular research topic in the natural language processing field. While much of the existing research has focused on emotion recognition in conversation, the emotion inference task in conversation is more challenging due to its specific prerequisites. In this paper, we propose EmoDamp, a novel model for the conversational emotion inference task. By referring to psychological theories, a bidirectional emotion damping network(BED Net) is designed to model the emotion generation mechanism. Furthermore, external commonsense knowledge is also used to supplement the prediction results to make them more consistent with authentic logic. Finally, a conditional random field (CRF) is used to capture the potential constraints of the emotion transfer process in conversation and simulate emotion contagion. Experimental results on two benchmark datasets demonstrate that EmoDamp outperforms the baseline model, achieving improved results on each emotion category and showcasing its effectiveness.

关键词： Affective computing Emotion Inference Human–computer interaction

来源：评论

学校读者我要写书评

暂无评论

Realization of the Computer Aided System Designed for Tibetan Dialect Phonological Analysis

Realization of the Computer Aided System Designed for Tibeta...

引用

2011 6th IEEE Joint international information technology and Artificial Intelligence conference(ITAIC 2011)

作者： Li Yonghong 12 /s per 1 st 1.Department of Chinese language and Literature,Peking University Beijing,China Fang Huaping 2 /s per 2 nd Dawa Pengcuo 2 /s per 3 rd 2.Key Lab of China's National Linguistic information technology,Northwest University for Nationalities Lanzhou,China

this paper mainly introduces the computer aided system designed for Tibetan dialect phonological analysis based on Tibetan dialect questionnaire,containing three modules:database,basic function and extending *** includes the questionnaires and the vocabulary library;basic function refers to initial-final generation,tone extraction,text-speech conversion and homonym table;and extending function consists of Tibetan word segmentation,Latin transcription,sequencing and data processing and *** system construction designed not only greatly contributes to improve the theoretical levels of Tibetan studying,but also holds important academic meanings and broad applicative values in the research fields relating to linguistics history studying,Tibetan evolution research,dialect sound-changing,Tibetan information processing,etc.

关键词： Tibetan Dialect Phonological Aided system

来源：评论

学校读者我要写书评

暂无评论

Xabcd: A Better Model for Named Entity Recognition in Cyber threat Intelligence

Xabcd: A Better Model for Named Entity Recognition in Cyber ...

引用

6th international conference on Intelligent Computing and Signal processing (ICSP)

作者： Ruiqi Wang Zhiqiang Zheng Shengqin Ao Yuxia Fu Xuren Wang Zhengwei Jiang Gang Xie School of Big Data and Computer Science Guizhou Normal University Guiyang China Information Engineering College Capital Normal University Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

Due to the ambiguity between naming entity nouns and daily usage nouns in cyber threat intelligence, such as hacker organizations, attack tools, and attack techniques, the understanding of their content heavily relies on cyber security knowledge. How to quickly and accurately extract named entities related to network security from multi-source texts has become a hot and difficult research topic in the current threat intelligence field. In this paper, a named entity recognition framework from cyber threat intelligence unstructured text is designed. For the business requirements in the field of cyber threat intelligence, this framework completely covers data acquisition, text classification, entity and relationship definition, entity and relationship analysis and modeling and ability application. the framework is available for experimental exploration of entity recognition technology for threat intelligence. In addition, this paper proposes an entity recognition model for cyber threat intelligence, Xabcd, based on data and feature knowledge. Based on open network security text corpus, Xabcd model obtained the key indicators such as precision, recall, and F1-score as 97.35%, 97.15% and 97.23% respectively, which are all higher than the baseline model levels, so the experimental results demonstrate the feasibility and effectiveness of the model.

关键词： Training Dictionaries Large language models Text categorization Named entity recognition Organizations Network security Signal processing Data models Cyber threat intelligence

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Models for Understanding Audience Sentiments in Movie Tweets

Deep Learning Models for Understanding Audience Sentiments i...

引用

Electronics and Sustainable Communication Systems (ICESC), 2020 international conference on

作者： S. Ram Prasath J.K. Jeevitha S Margret R. Santhana Krishnan J. Relin Francis Raj Ezhil E Nithila Department of Computer Science and Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Information Technology PSNA College of Engineering and Technology Dindigul India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

this study explores the application of deep learning models for analyzing audience sentiments in movie tweets, aiming to provide a comprehensive understanding of audience reception. Leveraging Twitter data collected using Tweepy and supplemented with web-scraped content via BeautifulSoup, the study employs advanced Natural language processing (NLP) techniques. Text preprocessing using SpaCy ensures standardized input for subsequent analysis. Sentiment analysis utilizes RoBERTa, an advanced deep learning transformer model known for its robust performance in NLP tasks. RoBERTa effectively classifies tweets into positive, negative, or neutral sentiments, leveraging its contextual understanding to interpret nuanced language expressions prevalent in social media discourse. Simultaneously, RoBERTa is employed for emotion detection, identifying emotional states such as joy, anger, sadness, and more, crucial for gauging audience emotional responses to various aspects of movies. this dual-analysis framework provides detailed insights into audience reactions, facilitating a nuanced evaluation of movie reception across diverse demographic segments. Additionally, the study explores aspect-based sentiment analysis to delve deeper into specific movie attributes like plot, acting, and special effects. Visualizations using Plotly enhance the interpretability of sentiment and emotion distributions over time, supporting informed decision-making in the entertainment industry.

关键词： Deep learning Sentiment analysis Analytical models Accuracy Social networking (online) Reviews Decision making Entertainment industry Motion pictures Data models

来源：评论

学校读者我要写书评

暂无评论

Roe: A Computational-Efficient Anti-hallucination Fine-Tuning technology for Large language Model Inspired by Human Learning Process 16th

Roe: A Computational-Efficient Anti-hallucination Fine-Tunin...

引用

16th international conference on Brain Informatics, BI 2023

作者： Liu, Xueqing Sajda, Paul Columbia University New YorkNY10027 United States

ISBN: (纸本)9783031430749

Large language models (LLMs) have shown significant potential in natural language processing (NLP) tasks, but they are plagued by issues of hallucination, where generated text contains false or fabricated information. this paper introduces a novel method, called "Roe," to combat hallucination in LLMs by incorporating a fine-tuning technique that promotes honesty in the model’s responses. Inspired by psychological studies on promoting honesty in children, the method rewards both correct answers and the behavior of admitting uncertainty by answering "I don’t know" when the model is unsure. the objective function is designed to encourage the model to switch between these two types of responses based on its confidence level. Experiments demonstrate that the Roe method achieves significantly better performance in addressing hallucination compared to the base Llama model and the original Alpaca model. the method also achieves comparable results to the state-of-the-art GPT4All model while using a smaller training dataset. the results of the HALTT4LLM benchmark further confirm the effectiveness of the Roe method in combating hallucination, particularly in handling fake questions. Sample outputs of the Roe model compared to the Alpaca model highlight the model’s adherence to factual information and its avoidance of direct references to fictional items in fabricated questions. Overall, the Roe method presents a promising approach for mitigating hallucination in large language models, enhancing their reliability and trustworthiness in generating text. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共164页 << < 155 156 157 158 159 160 161 162 163 164 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：