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检索条件"机构=Data Science Program Computer Science Department"
24664 条 记 录,以下是4671-4680 订阅
排序:
Machine Learning Challenges of E-government Models of Cloud Computing in Developing Countries
Machine Learning Challenges of E-government Models of Cloud ...
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International Conference on Computing for Sustainable Global Development (INDIACom)
作者: R Tamilarasi P N Santhosh Kumar G S Pradeep Ghantasala D Nageswara Rao Priyanka Bathla Gaurav Gupta Sonia Department of Computer Science and Engineering Alliance University Bengaluru India Dept. of CSE (Data Science) CMR Technical Campus Hyderabad India Department of Computer Science and Engineering Alliance University Bangalore India Chandigarh University Punjab India Shoolini University Solan India Yogananda School of AI Computer and Data Sciences Shoolini University Solan India
Cloud computing usage in electronic government (e-government) is developing across nations and presents a range of difficulties. Infrastructure problems, such as unreliable internet connections and insufficient device...
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Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
arXiv
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arXiv 2024年
作者: Hu, Jerry Yao-Chieh Chang, Pei-Hsuan Luo, Haozheng Chen, Hong-Yu Li, Weijian Wang, Wei-Po Liu, Han Department of Computer Science Northwestern University Evanston United States Department of Physics National Taiwan University Taipei Taiwan Department of Statistics and Data Science Northwestern University Evanston United States
We introduce an Outlier-Efficient Modern Hopfield Model (termed OutEffHop) and use it to address the outlier inefficiency problem of training gigantic transformer-based models. Our main contribution is a novel associa... 详细信息
来源: 评论
Exploring Automated Feature Engineering for Energy Consumption Forecasting with AutoML
Exploring Automated Feature Engineering for Energy Consumpti...
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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024
作者: Alkhulaifi, Nasser Bowler, Alexander L. Pekaslan, Direnc Triguero, Isaac Watson, Nicholas J. School of Food Science and Nutrition University of Leeds Faculty of Environment LeedsLS2 9JT United Kingdom NottinghamNG8 1BB United Kingdom University of Granada Department of Computer Science and Artificial Intelligence Spain Lab NottinghamNG8 1BB United Kingdom DaSCI Andalusian Institute in Data Science and Computational Intelligence Granada Spain
Machine learning methods are widely used to predict energy consumption, aiming to enhance efficiency and support environmental goals. However, developing these models is traditionally time-consuming and expert-depende... 详细信息
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Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
arXiv
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arXiv 2024年
作者: Chang, Serina Koehler, Frederic Qu, Zhaonan Leskovec, Jure Ugander, Johan Department of Computer Science Stanford University United States Department of Statistics Data Science Institute University of Chicago United States Department of Economics Stanford University United States Department of Management Science & Engineering Stanford University United States
A common network inference problem, arising from real-world data constraints, is how to infer a dynamic network from its time-aggregated adjacency matrix and time-varying marginals (i.e., row and column sums). Prior a...
来源: 评论
A GNN-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
arXiv
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arXiv 2025年
作者: Isah, Abubakar Aliyu, Ibrahim Rashid, Sulaiman Muhammad Park, Jaehyung Hahn, Minsoo Kim, Jinsul Department of Intelligent Electronics and Computer Engineering Chonnam National University Buk-gu Gwangju61186 Korea Republic of Department of Computer Science Ahmadu Bello University Zaria810241 Nigeria Department of Computational and Data Science Astana IT University Astana Kazakhstan
Graph Neural Networks are gaining attention in Fifth-Generation (5G) core network digital twins, which are data-driven complex systems with numerous components. Analyzing these data can be challenging due to rare fail... 详细信息
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Comparison of Machine Learning Text Classification for Intent Sentiment Analysis  7
Comparison of Machine Learning Text Classification for Inten...
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7th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2023
作者: Muhammad, Abulwafa Defit, Sarjon Cahyo, Gunadi Widi Nur Universitas Putra Indonesia Yptk Padang Faculty of Computer Science Department of Informatics Technology Padang Indonesia Universitas Putra Indonesia Yptk Padang Doctoral Program in Information Technology Padang Indonesia
Tourist destination reviews on Google Maps have become a valuable point of reference for visitors seeking enjoyable spots to visit. Additionally, users can gain insight into the reasons for writing reviews. Text class... 详细信息
来源: 评论
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
arXiv
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arXiv 2024年
作者: Chen, Zhaoliang Wu, Zhihao Sadikaj, Ylli Plant, Claudia Dai, Hong-Ning Wang, Shiping Cheung, Yiu-Ming Guo, Wenzhong College of Computer and Data Science Fuzhou University Fuzhou350116 China Department of Computer Science Hong Kong Baptist University Hong Kong Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350116 China Faculty of Computer Science and with the research network Data Science @ Uni Vienna University of Vienna Vienna1090 Austria
Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the performance of GNNs is limited by po... 详细信息
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QoE Comparison between Multi-User OFDMA and Reliable Groupcast for Wireless LAN Audiovisual Transmission
QoE Comparison between Multi-User OFDMA and Reliable Groupca...
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IEEE Region 10 Symposium
作者: Daiki Deguchi Toshiro Nunome Department of Engineering Computer Science Program Graduate School of Engineering Nagoya Institute of Technology Nagoya Japan
This paper compares video and audio QoE of OFDMA multi-user transmission and reliable groupcast over wireless LAN. We assume video and audio transmission to several terminals simultaneously. As a reliable groupcast me... 详细信息
来源: 评论
Climate Impact Prediction: Whale-Optimized Conv-XGBoost with Remote Sensing and Sociological data
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Remote Sensing in Earth Systems sciences 2024年 第4期7卷 443-456页
作者: Jayakarthik, R. Chandrashekhara K.T Sampath, O. Kumar, Deepak Biban, Laxmi Maroor, Jnaneshwar Pai Malluvalasa, S. N. Lakshmi Department of Computer Science Saveetha College of Liberal Arts and Sciences SIMATS Chennai India Department of Information Science and Engineering BMS Institute of Technology and Management Bangalore India Department of CSE RGM College of Engineering and Technology Nandyal India Department of Applied Sciences Manav Rachna International Institute of Research and Studies Faridabad India Department of Botany Pt. C.L.S. Govt. College Haryana Karnal India Department of Business Administration Nitte Institute of Professional Education Nitte (Deemed to be University) Mangaluru Karnataka India Department of Artificial Intelligence & amp Data Science Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur District Andhra Pradesh India
Climate change poses significant challenges globally, impacting ecosystems, economies, and societies. Accurate prediction of climate impacts is crucial for developing effective mitigation strategies and informed polic... 详细信息
来源: 评论
Recommendation fairness and where to find it: An empirical study on fairness of user recommender systems
Recommendation fairness and where to find it: An empirical s...
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IEEE International Conference on Big data
作者: Antonela Tommasel Ira Assent Department of Computer Science DIGIT Aarhus University Centre for Digitalisation Big Data and Data Analytics Denmark ISISTAN CONICET-UNCPBA Aarhus University Argentina Department of Computer Science DIGIT Aarhus University Centre for Digitalisation Big Data and Data Analytics Aarhus University Denmark
Recommender systems play a crucial role in how users consume information and establish new social relations. However, different factors (such as the data collection process, the designed recommendation model, or even ...
来源: 评论