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检索条件"机构=School of Computer Science and Engineering Center for Teaching and learning development"
110 条 记 录,以下是31-40 订阅
排序:
Developing an Intelligent Resume Screening Tool With AI-Driven Analysis and Recommendation Features
Applied AI Letters
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Applied AI Letters 2025年 第2期6卷
作者: K. L. Abhishek M. Niranjanamurthy Shonit Aric Syed Immamul Ansarullah Anurag Sinha G. Tejani Mohd Asif Shah Department of Artificial Intelligence & Machine Learning BMS Institute of Technology Affiliated to Visvesvaraya Technological University Bangalore Karnataka India Software Engineer Fidelity Investments Bangalore India Department of Management Studies University of Kashmir North Campus Srinagar Jammu and Kashmir India Tech School Computer Science Department ICFAI University Ranchi Jharkhand India Department of Computer Science RC University Palamue Bishrampur Jharkhand India Jadara University Research Center Jadara University Amman Jordan Dean of Faculty Department of Economics Kardan University Kabul Afghanistan Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India Division of Research and Development Lovely Professional University Phagwara Punjab India
Current resume screening relies on manual review, causing delays and errors in evaluating large volumes of resumes. Lack of automation and data extraction leads to inefficiencies and potential biases. Recruiters face ... 详细信息
来源: 评论
FloTree: A multi-touch interactive simulation of evolutionary processes  12
FloTree: A multi-touch interactive simulation of evolutionar...
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7th ACM International Conference on Interactive Tabletops and Surfaces, ITS 2012
作者: Chua, Kien Chuan Qin, Yongqiang Block, Florian Phillips, Brenda Diamond, Judy Evans, E. Margaret Horn, Michael S. Shen, Chia School of Engineering and Applied Sciences Harvard University Cambridge 02138 United States Department of Computer Science National University of Singapore 117417 Singapore Singapore Department of Computer Science Tsinghua University Beijing 100084 China University of Nebraska State Museum Lincoln NE 68588 United States Center for Human Growth and Development University of Michigan Ann Arbor MI 48109 United States Computer Science and Learning Sciences Northwestern University Evanston 60208 United States
We present FloTree, a multi-user simulation that illustrates key dynamic processes underlying evolutionary change. Our intention is to create a informal learning environment that links micro-level evolutionary process... 详细信息
来源: 评论
Face recognition based on 2DPCA and fuzzy-rough technique
Face recognition based on 2DPCA and fuzzy-rough technique
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International Conference on Machine learning and Cybernetics (ICMLC)
作者: Jun-Hai Zhai Chen-Yan Bai Su-Fang Zhang Machine Learning Center Faculty of Mathematics and Computer Science Hebei University Baoding China Teaching and research of section of mathematics Hebei Information Engineering School Baoding China
To remove the redundant features extracted by using 2DPCA methods, a face recognition method is presented based on 2DPCA and fuzzy-rough technique in this paper. The proposed method selects the important features for ... 详细信息
来源: 评论
The Curriculum development for Global AGILE Problem-Based learning in Social Entrepreneurship in Global Teams
The Curriculum Development for Global AGILE Problem-Based Le...
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Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC)
作者: Tosh Yamamoto Chris Pang Benson Ong Juling Shih Hui-Chun Chu Meilun Shih Center for Teaching and Learning Kansai University Osaka Japan School of Business Management Nanyang Polytechnic University Singapore Department of Information and Learning Technology National University of Tainan Tainan Taiwan Department of Computer Science and Information Management Soochow University Taipei Taiwan Center for Teaching Learning & Development National Taiwan University Taipei Taiwan
This paper deals with a progress report on the execution of the sense making in the curriculum development for global AGILE Problem-Based learning incorporating computational thinking enhanced with ICT, which has been... 详细信息
来源: 评论
Deep manifold-to-manifold transforming network
arXiv
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arXiv 2017年
作者: Zhang, Tong Zheng, Wenming Cui, Zhen Li, Chaolong Laboratory of Child Development and Learning Science of Ministry of Education Southeast University China Department of Information Science and Engineering Southeast University China Key Laboratory of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu210096 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China
Symmetric positive definite (SPD) matrices (e.g., covariances, graph Laplacians, etc.) are widely used to model the relationship of spatial or temporal domain. Nevertheless, SPD matrices are theoretically embedded on ... 详细信息
来源: 评论
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning
arXiv
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arXiv 2018年
作者: Yan, Keyu Zheng, Wenming Zhang, Tong Zong, Yuan Cui, Zhen Key Laboratory of Child Development and Learning Science of Ministry of Education Department of Information Science and Engineering Southeast University China Key Laboratory of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University NanjingJiangsu210096 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing Jiangsu210096 China
Cross-database non-frontal expression recognition is a very meaningful but rather difficult subject in the fields of computer vision and affect computing. In this paper, we proposed a novel transductive deep transfer ... 详细信息
来源: 评论
ROUGH-NEURAL IMAGE CLASSIFICATION USING WAVELET TRANSFORM
ROUGH-NEURAL IMAGE CLASSIFICATION USING WAVELET TRANSFORM
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2007 International Conference on Machine learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
作者: XI-ZHAO WANG JUN-HAI ZHAI SU-FANG ZHANG Machine Learning Center.Faculty of Mathematics and Computer Science Hebei University Baoding 07100 Teaching and research of section of mathematics Hebei Information Engineering School Baoding 07100
Image classification plays an important role in many tasks, which is still a challenging *** paper proposes a hybrid image classification method, which integrates wavelet transform, rough set approach, and artificial ... 详细信息
来源: 评论
Group-Level Emotion Recognition Using Hierarchical Dual-Branch Cross Transformer with Semi-Supervised learning
Group-Level Emotion Recognition Using Hierarchical Dual-Bran...
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Software engineering and Artificial Intelligence (SEAI), IEEE International Conference on
作者: Jinke Xu Xiaohua Huang School of Computer Engineering Nanjing Institute of Technology Nanjing China Key Laboratory of Child Development and Learning Science (Southeast University) Ministry of Education Nanjing China Research Center for Learning Science Southeast University Nanjing China
Group-level emotion recognition (GER) has received attention from researchers to identify an overall emotion in a multi-person scene. To address attention issue on group dynamic in GER, a dual-branch cross-attention t... 详细信息
来源: 评论
A heterogeneous graph cross-omics attention model for single-cell representation learning
A heterogeneous graph cross-omics attention model for single...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Yue Liu Junfeng Zhang Shulin Wang Wei Zhang Xiangxiang Zeng Chee Keong Kwoh College of Computer Science and Electronic Engineering Hunan University Changsha Hunan Hangzhou Machine Learning Research and Development Center Sina Weibo Hangzhou Zhejiang College of Computer Engineering & Applied Mathematics Changsha University Changsha Hunan School of Computer Science and Engineering Nanyang Technological University Singapore
Single-cell multi-omics sequencing technologies allow simultaneous measurement of transcriptome and epigenome profiles in the same cell, providing unprecedented opportunities to dissect cell heterogeneity. Despite gre... 详细信息
来源: 评论
A survey on studying the social networks of students
arXiv
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arXiv 2019年
作者: Saxena, Akrati Saxena, Pratishtha Reddy, Harita Gera, Ralucca Department of Computer Science School of Computing National University of Singapore Singapore Singapore Department of Computer Science and Engineering Center for Advanced Studies Lucknow India Department of Computer Science and Engineering National Institute of Technology Karnataka India Department of Applied Mathematics Associate Provost for Graduate Education Teaching and Learning Commons Naval Postgraduate School MontereyCA United States
Do studies show that physical and online students’ social networks support education? Analyzing interactions between students in schools and universities can provide a wealth of information. Studies on students’ soc... 详细信息
来源: 评论