咨询与建议

限定检索结果

文献类型

  • 1,946 篇 会议
  • 1,618 篇 期刊文献
  • 11 册 图书

馆藏范围

  • 3,575 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,196 篇 工学
    • 1,683 篇 计算机科学与技术...
    • 1,435 篇 软件工程
    • 442 篇 信息与通信工程
    • 410 篇 生物工程
    • 362 篇 控制科学与工程
    • 308 篇 生物医学工程(可授...
    • 228 篇 光学工程
    • 218 篇 电气工程
    • 155 篇 电子科学与技术(可...
    • 107 篇 化学工程与技术
    • 104 篇 安全科学与工程
    • 101 篇 机械工程
    • 95 篇 网络空间安全
    • 89 篇 仪器科学与技术
    • 61 篇 动力工程及工程热...
  • 1,461 篇 理学
    • 816 篇 数学
    • 460 篇 生物学
    • 400 篇 统计学(可授理学、...
    • 330 篇 物理学
    • 170 篇 系统科学
    • 151 篇 化学
  • 617 篇 管理学
    • 342 篇 管理科学与工程(可...
    • 302 篇 图书情报与档案管...
    • 178 篇 工商管理
  • 267 篇 医学
    • 220 篇 临床医学
    • 204 篇 基础医学(可授医学...
    • 122 篇 公共卫生与预防医...
    • 119 篇 药学(可授医学、理...
  • 113 篇 法学
    • 107 篇 社会学
  • 75 篇 经济学
    • 75 篇 应用经济学
  • 54 篇 农学
  • 39 篇 教育学
  • 16 篇 文学
  • 5 篇 军事学
  • 4 篇 艺术学
  • 3 篇 哲学
  • 2 篇 历史学

主题

  • 214 篇 machine learning
  • 179 篇 accuracy
  • 159 篇 deep learning
  • 98 篇 training
  • 92 篇 real-time system...
  • 86 篇 convolutional ne...
  • 82 篇 predictive model...
  • 70 篇 feature extracti...
  • 64 篇 computational mo...
  • 62 篇 optimization
  • 60 篇 forecasting
  • 58 篇 artificial intel...
  • 57 篇 reinforcement le...
  • 57 篇 medical services
  • 57 篇 data models
  • 51 篇 support vector m...
  • 51 篇 machine learning...
  • 50 篇 internet of thin...
  • 44 篇 data mining
  • 43 篇 semantics

机构

  • 123 篇 machine learning...
  • 60 篇 machine learning...
  • 55 篇 machine learning...
  • 46 篇 department of st...
  • 36 篇 machine learning...
  • 30 篇 machine learning...
  • 30 篇 department of ar...
  • 30 篇 nitte meenakshi ...
  • 27 篇 data science and...
  • 23 篇 center for data ...
  • 23 篇 munich center fo...
  • 22 篇 department of co...
  • 20 篇 center for machi...
  • 20 篇 australian insti...
  • 20 篇 department of ar...
  • 19 篇 department of ph...
  • 19 篇 machine learning...
  • 19 篇 department of co...
  • 19 篇 department of co...
  • 19 篇 munich center fo...

作者

  • 62 篇 ramdas aaditya
  • 35 篇 foster ian
  • 31 篇 prateek verma
  • 30 篇 pareek piyush ku...
  • 27 篇 zhang kun
  • 27 篇 piyush kumar par...
  • 26 篇 guizani mohsen
  • 24 篇 pontil massimili...
  • 23 篇 eklund anders
  • 22 篇 verma prateek
  • 22 篇 wasserman larry
  • 21 篇 chard kyle
  • 20 篇 müller klaus-rob...
  • 19 篇 huerta e.a.
  • 19 篇 xing eric p.
  • 19 篇 balakrishnan siv...
  • 18 篇 ravikumar pradee...
  • 18 篇 samek wojciech
  • 17 篇 carneiro gustavo
  • 17 篇 mohsen guizani

语言

  • 3,127 篇 英文
  • 443 篇 其他
  • 3 篇 中文
检索条件"机构=Department of Data Science and Machine Learning Computer Science"
3575 条 记 录,以下是161-170 订阅
Hybrid Deep learning Cloud Intrusion Detection  3
Hybrid Deep Learning Cloud Intrusion Detection
收藏 引用
3rd IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing, INCOS 2024
作者: Karnan, Lokanayaki Mahalakshmi, S.B. Thirunavukkarasu, V. Christ University Department of Computer Science Karnataka Bangalore560029 India Coimbatore Institute of Technology Department of Artificial Intelligence & Machine Learning Tamil Nadu Coimbatore641014 India
The scalability and flexibility that cloud computing provides, organisations can readily adapt their resources to meet demand without having to make significant upfront expenditures in hardware infrastructure. Three m... 详细信息
来源: 评论
SNIP: BRIDGING MATHEMATICAL SYMBOLIC AND NUMERIC REALMS WITH UNIFIED PRE-TRAINING  12
SNIP: BRIDGING MATHEMATICAL SYMBOLIC AND NUMERIC REALMS WITH...
收藏 引用
12th International Conference on learning Representations, ICLR 2024
作者: Meidani, Kazem Shojaee, Parshin Reddy, Chandan K. Farimani, Amir Barati Department of Mechanical Engineering Carnegie Mellon University United States Department of Computer Science Virginia Tech United States Machine Learning Department Carnegie Mellon University United States
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. R... 详细信息
来源: 评论
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers  38
Hydra: Bidirectional State Space Models Through Generalized ...
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Hwang, Sukjun Lahoti, Aakash Puduppully, Ratish Dao, Tri Gu, Albert Machine Learning Department Carnegie Mellon University United States IT University of Copenhagen Denmark Department of Computer Science Princeton University United States Cartesia AI United States
A wide array of sequence models are built on a framework modeled after Transformers, comprising alternating sequence mixer and channel mixer layers. This paper studies a unifying matrix mixer view of sequence mixers t...
来源: 评论
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers  38
Do LLMs dream of elephants (when told not to)? Latent concep...
收藏 引用
38th Conference on Neural Information Processing Systems, NeurIPS 2024
作者: Jiang, Yibo Rajendran, Goutham Ravikumar, Pradeep Aragam, Bryon Department of Computer Science University of Chicago United States Machine Learning Department Carnegie Mellon University United States Booth School of Business University of Chicago United States
Large Language Models (LLMs) have the capacity to store and recall facts. Through experimentation with open-source models, we observe that this ability to retrieve facts can be easily manipulated by changing contexts,...
来源: 评论
IoT-Deep learning Based Activity Recommendation System
收藏 引用
computer Systems science & Engineering 2023年 第5期45卷 2001-2016页
作者: Sharmilee Kannan R.U.Anitha M.Divayapushpalakshmi K.S.Kalaivani Department of Electronics and Communication Engineering Nandha Engineering CollegePerundurai638052TamilnaduIndia Department of Computer Science Sona College of Arts and ScienceSalem636005TamilnaduIndia Department of Artificial Intelligence and Machine Learning Engineering Gokaraju Rangaraju Institute of Engineering and TechnologyHyderabad500090TelanganaIndia Department of Computer Science and Engineering Kongu Engineering CollegePerundurai638060TamilnaduIndia
The rising use of mobile technology and smart gadgets in the field of health has had a significant impact on the global *** professionals are increasingly making use of the benefits of these technologies,resulting in ... 详细信息
来源: 评论
Meta-Analysis with Untrusted data  4
Meta-Analysis with Untrusted Data
收藏 引用
4th machine learning for Health Symposium, ML4H 2024
作者: Kaul, Shiva Gordon, Geoffrey J. Computer Science Department Carnegie Mellon University PittsburghPA15213 United States Machine Learning Department Carnegie Mellon University PittsburghPA15213 United States
Meta-analyses are usually conducted on small amounts of "trusted" data, ideally from randomized, controlled trials. Excluding untrusted (observational) data - such as medical records and related scientific l... 详细信息
来源: 评论
Leveraging Patient Flow data to Reduce Hospital Readmissions: A Study Using Medical Dashboards  4
Leveraging Patient Flow Data to Reduce Hospital Readmissions...
收藏 引用
4th International Conference on Sentiment Analysis and Deep learning, ICSADL 2025
作者: Deshmukh, Santoshi Pacharaney, Utkarsha Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Data Science Wardha India Datta Meghe Institute of Higher Education and Research Department of Artificial Intelligence and Machine Learning Wardha India
Transparent reporting of patient outcomes is becoming more and more common as the inequalities in health outcomes amongst groups are being more widely acknowledged. In addition, documenting health outcomes over time a... 详细信息
来源: 评论
Harnessing NLP and Deep learning to Decode Disease-Gene Interactions in Lung Cancer  1
Harnessing NLP and Deep Learning to Decode Disease-Gene Inte...
收藏 引用
1st International Conference for Women in Computing, InCoWoCo 2024
作者: Rani, K. Mary Sudha Prasad, V. Kamakshi Chaitanya Bharathi Institute of Technology Department of Artificial Intelligence and Machine Learning Hyderabad India Jawaharlal Nehru Technological University Hyderabad Department of Computer Science and Engineering Hyderabad India
Lung cancer remains a critical global health challenge, necessitating advanced predictive models to enhance diagnostic and prognostic accuracy. This study employs natural language processing (NLP) and deep learning to... 详细信息
来源: 评论
A Study on Integrating machine learning Techniques for Waste Management  7
A Study on Integrating Machine Learning Techniques for Waste...
收藏 引用
7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024
作者: Vaidya, Ruchika Dattangire, Rahul Biradar, Divya Verma, Prateek Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India Data Engineering Publicis Sapient HoustonTX77002 United States University of Texas Department of Computer Science ArlingtonTX76019 United States
The current study focuses on how various machine learning (ML) algorithms can be used in waste management and emphasizes the significance of intelligent technologies in addressing contemporary issues. By leading a bro... 详细信息
来源: 评论
A Comparative Analysis of Rule-based and AI-Driven Systems for Improving Customer Satisfaction and Engagement in E-Commerce using Chatbots Powered by Artificial Intelligence  6
A Comparative Analysis of Rule-based and AI-Driven Systems f...
收藏 引用
6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025
作者: Deshmukh, Santoshi Gundewar, Swapnil Department of Artificial Intelligence and Data Science Datta Meghe Institute of Higher Education and Research Wardha India Department of Artificial Intelligence and Machine Learning Datta Meghe Institute of Higher Education and Research Wardha India
Chatbots: Chatbots, as robots, are the most recent and intelligent live chat communication devices. Furthermore, these days, it is commonly one of the customer service methods as it is also perfect for providing an ar... 详细信息
来源: 评论