咨询与建议

限定检索结果

文献类型

  • 63 篇 期刊文献
  • 53 篇 会议

馆藏范围

  • 116 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 56 篇 工学
    • 36 篇 计算机科学与技术...
    • 27 篇 软件工程
    • 12 篇 生物工程
    • 11 篇 机械工程
    • 11 篇 生物医学工程(可授...
    • 10 篇 控制科学与工程
    • 7 篇 光学工程
    • 3 篇 电气工程
    • 3 篇 信息与通信工程
    • 2 篇 仪器科学与技术
    • 2 篇 化学工程与技术
    • 2 篇 农业工程
    • 2 篇 安全科学与工程
  • 32 篇 理学
    • 14 篇 生物学
    • 12 篇 数学
    • 9 篇 系统科学
    • 5 篇 物理学
    • 2 篇 化学
    • 2 篇 统计学(可授理学、...
  • 14 篇 医学
    • 11 篇 临床医学
    • 6 篇 公共卫生与预防医...
    • 5 篇 基础医学(可授医学...
    • 4 篇 药学(可授医学、理...
  • 10 篇 管理学
    • 5 篇 管理科学与工程(可...
    • 3 篇 公共管理
    • 3 篇 图书情报与档案管...
  • 3 篇 农学
    • 2 篇 作物学
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 2 篇 法学
    • 2 篇 社会学
  • 1 篇 教育学
    • 1 篇 教育学

主题

  • 11 篇 deep learning
  • 9 篇 accuracy
  • 7 篇 training
  • 7 篇 convolutional ne...
  • 5 篇 machine learning
  • 4 篇 covid-19
  • 4 篇 image segmentati...
  • 4 篇 breast cancer
  • 4 篇 data models
  • 3 篇 support vector m...
  • 3 篇 training data
  • 3 篇 transfer learnin...
  • 3 篇 medical services
  • 3 篇 data mining
  • 3 篇 healthcare
  • 3 篇 data science
  • 3 篇 data visualizati...
  • 2 篇 mammography
  • 2 篇 reliability
  • 2 篇 sustainable deve...

机构

  • 7 篇 artificial intel...
  • 6 篇 artificial intel...
  • 5 篇 college of compu...
  • 5 篇 department artif...
  • 5 篇 artificial intel...
  • 4 篇 leeds institute ...
  • 4 篇 center for psych...
  • 4 篇 department of in...
  • 4 篇 institute for pa...
  • 4 篇 department of st...
  • 4 篇 university of pi...
  • 4 篇 arnie charbonnea...
  • 4 篇 ilsbio llc bioba...
  • 4 篇 department of mo...
  • 4 篇 department of bi...
  • 4 篇 faculty of biosc...
  • 4 篇 osaka internatio...
  • 4 篇 tri-institutiona...
  • 4 篇 research departm...
  • 4 篇 department of ve...

作者

  • 22 篇 tanzila saba
  • 18 篇 amjad rehman
  • 9 篇 noor ayesha
  • 7 篇 bjoern m. eskofi...
  • 7 篇 tariq mahmood
  • 5 篇 muhammad mujahid
  • 5 篇 baldassi carlo
  • 5 篇 robert richer
  • 5 篇 saba tanzila
  • 4 篇 mahmood tariq
  • 4 篇 eskofier bjoern
  • 4 篇 srinivasulu redd...
  • 4 篇 rehman amjad
  • 4 篇 zecchina riccard...
  • 4 篇 saeed ali bahaj
  • 3 篇 arne küderle
  • 3 篇 faten s.alamri
  • 3 篇 ibrahim abunadi
  • 3 篇 zanca dario
  • 3 篇 syed al e hassan

语言

  • 111 篇 英文
  • 5 篇 其他
检索条件"机构=Artificial Intelligence and Data Analytics Lab"
116 条 记 录,以下是81-90 订阅
排序:
Towards Unified Token Learning for Vision-Language Tracking
arXiv
收藏 引用
arXiv 2023年
作者: Zheng, Yaozong Zhong, Bineng Liang, Qihua Li, Guorong Ji, Rongrong Li, Xianxian The Key Laboratory of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin541004 China The Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin541004 China The School of Computer Science and Technology Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences Beijing100049 China Media Analytics and Computing Lab Department of Artificial Intelligence School of Informatics Xiamen University 361005 China
In this paper, we present a simple, flexible and effective vision-language (VL) tracking pipeline, termed MMTrack, which casts VL tracking as a token generation task. Traditional paradigms address VL tracking task ind... 详细信息
来源: 评论
Deep Learning Approach to Diagnose Alzheimer’s Disease through Magnetic Resonance Images
Deep Learning Approach to Diagnose Alzheimer’s Disease thro...
收藏 引用
International Conference on Innovative Computing (ICIC)
作者: Muhammad Faraz Ahmad Shahzad Akbar Syed Al E Hassan Amjad Rehman Noor Ayesha Ripah College of Computing Riphah International University Faisalabad Pakistan Artificial Intelligence & Data Analytics Lab (AIDA) Prince Sultan University Riyadh Saudi Arabia School of Clinical Medicine Zhengzhou University Zhengzhou Henan RP China
Alzheimer’s disease (AD) is the disease that is neurodegenerative which causes 70 to 80% of cases of dementia worldwide. Even though over the past few years’ research on Alzheimer’s disease has risen, Although, the... 详细信息
来源: 评论
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
arXiv
收藏 引用
arXiv 2023年
作者: Getahun, Melaku N. Rogov, Oleg Y. Dylov, Dmitry V. Somov, Andrey Bouridane, Ahmed Hamoudi, Rifat Moscow Russia Center for Data Analytics and Cybersecurity University of Sharjah Sharjah United Arab Emirates Moscow Russia Research Institute for Medical and Health Sciences College of Medicine University of Sharjah Sharjah United Arab Emirates Division of Surgery and Interventional Science Faculty of Medical Science University College London London United Kingdom BIMAI-Lab Biomedically Informed Artificial Intelligence Laboratory University of Sharjah Sharjah United Arab Emirates Bian Que AI Hong Kong
Retinal vascular segmentation, a widely researched topic in biomedical image processing, aims to reduce the workload of ophthalmologists in treating and detecting retinal disorders. Segmenting retinal vessels presents... 详细信息
来源: 评论
Application of Business intelligence Solution Development and Implementation in a Small-Sized Enterprise
Application of Business Intelligence Solution Development an...
收藏 引用
2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
作者: Hind Fahad Alaskar Tanzila Saba Artificial Intelligence and Data Analytics (AIDA) Lab College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia
Business intelligence (BI) is an approach to optimize business decisions by utilizing existing information. BI has been supporting the organization to form effective strategic and tactical business strategies. For the... 详细信息
来源: 评论
Covid-19 Detection by using Deep learning-based Custom Convolution Neural Network (CNN)
Covid-19 Detection by using Deep learning-based Custom Convo...
收藏 引用
International Conference on Innovative Computing (ICIC)
作者: Mazhar Javed Awan Muhammad Wasif Imtiaz Muhammad Usama Amjad Rehman Noor Ayesha Hafiz Muhammad Faisal Shehzad University of Management and Technology Lahore Pakistan Artificial Intelligence & Data Analytics Lab (AIDA) CCIS Prince Sultan University Riyadh Saudi Arabia School of Clinical Medicine Zhengzhou University Zhengzhou Henan RP China University of Sargodha Pakistan
The early diagnosis and treatment of COVID-19 has been a challenge all over the world. It is challenging to manufacture many testing kits and even then, their accuracy rate is very low. Studies carried out recently sh... 详细信息
来源: 评论
Stock Price Prediction and Portfolio Optimization Using Hidden Markov Model and Quadratic Programming
Stock Price Prediction and Portfolio Optimization Using Hidd...
收藏 引用
Integrated intelligence and Communication Systems (ICIICS), International Conference on
作者: August C. Thio-Ac Daniel D. Cabrales Drexanne E. Calibara Maries V. Madrazo Agustine Christian C. Matawaran Genesis E. Micaller Edmon O. Fernandez Timothy M. Amado Romeo L. Jorda Lean Karlo S. Tolentino Lejan Alfred C. Enriquez Department of Electronics Engineering Technological University of the Philippines Manila Philippines Integrated Research and Training Center Technological University of the Philippines Manila Philippines Intelligent Systems Applications and Circuits Laboratory (ISAAC) Integrated Research and Training Center Technological University of the Philippines Manila Philippines Data Analytics Visualization Information Driven (DAVID) Research Lab Integrated Research and Training Center Technological University of the Philippines Manila Philippines Center for Artificial Intelligence and Nanoelectronics (CAIN) Integrated Research and Training Center Technological University of the Philippines Manila Philippines
This study introduces a decision support system for optimizing stock portfolios. It employs a Hidden Markov Model for 95% accurate stock price forecasts over a five-day period. The system utilizes Quadratic Programmin...
来源: 评论
Properties of the Geometry of Solutions and Capacity of Multilayer Neural Networks with Rectified Linear Unit Activations
收藏 引用
Physical Review Letters 2019年 第17期123卷 170602-170602页
作者: Carlo Baldassi Enrico M. Malatesta Riccardo Zecchina Artificial Intelligence Lab Institute for Data Science and Analytics Bocconi University Milano 20135 Italy
Rectified linear units (ReLUs) have become the main model for the neural units in current deep learning systems. This choice was originally suggested as a way to compensate for the so-called vanishing gradient problem... 详细信息
来源: 评论
Semantics-Guided Contrastive Network for Zero-Shot Object Detection
arXiv
收藏 引用
arXiv 2021年
作者: Yan, Caixia Chang, Xiaojun Luo, Minnan Liu, Huan Zhang, Xiaoqin Zheng, Qinghua The Ministry of Education Key Lab of Intelligent Networks and Network Security National Engineering Lab for Big Data Analytics School of Electronic and Information Engineering Xi'an Jiaotong University Shaanxi710049 China The ReLER Lab AAAI Faculty of Engineering and Information Technology University of Technology Sydney Australia The College of Computer Science and Artificial Intelligence Wenzhou University China
Zero-shot object detection (ZSD), the task that extends conventional detection models to detecting objects from unseen categories, has emerged as a new challenge in computer vision. Most existing approaches tackle the... 详细信息
来源: 评论
ICDAR 2021 competition on on-line signature verification
arXiv
收藏 引用
arXiv 2021年
作者: Tolosana, Ruben Vera-Rodriguez, Ruben Gonzalez-Garcia, Carlos Fierrez, Julian Rengifo, Santiago Morales, Aythami Ortega-Garcia, Javier Ruiz-Garcia, Juan Carlos Romero-Tapiador, Sergio Jiang, Jiajia Lai, Songxuan Jin, Lianwen Zhu, Yecheng Galbally, Javier Diaz, Moises Ferrer, Miguel Angel Gomez-Barrero, Marta Hodashinsky, Ilya Sarin, Konstantin Slezkin, Artem Bardamova, Marina Svetlakov, Mikhail Saleem, Mohammad Szücs, Cintia Lia Kovari, Bence Pulsmeyer, Falk Wehbi, Mohamad Zanca, Dario Ahmad, Sumaiya Mishra, Sarthak Jabin, Suraiya Biometrics and Data Pattern Analytics Lab UAM Spain South China University of Technology China Guangdong Artificial Intelligence and Digital Economy Laboratory China European Commission Joint Research Centre Italy Universidad del Atlantico Medio Spain Universidad de las Palmas de Gran Canaria Spain Hochschule Ansbach Germany Tomsk State University of Control Systems and Radioelectronics Russia Budapest University of Technology and Economics Hungary Machine Learning and Data Analytics Lab FAU Germany Jamia Millia Islamia India
This paper describes the experimental framework and results of the ICDAR 2021 Competition on On-Line Signature Verification (SVC 2021). The goal of SVC 2021 is to evaluate the limits of on-line signature verification ... 详细信息
来源: 评论
Properties of the geometry of solutions and capacity of multi-layer neural networks with Rectified Linear Units activations
arXiv
收藏 引用
arXiv 2019年
作者: Baldassi, Carlo Malatesta, Enrico M. Zecchina, Riccardo Artificial Intelligence Lab Institute for Data Science and Analytics Bocconi University Milano Italy
Rectified Linear Units (ReLU) have become the main model for the neural units in current deep learning systems. This choice has been originally suggested as a way to compensate for the so called vanishing gradient pro... 详细信息
来源: 评论