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检索条件"机构=Data Science Program Computer Science Department"
25580 条 记 录,以下是991-1000 订阅
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Predicting Company Default Risks: A Machine Learning Perspective on Importance Features
Predicting Company Default Risks: A Machine Learning Perspec...
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IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
作者: Fanes Hanestan Fritz Nathaniel Raiyen Dewi Kusuma Alexander Agung Santoso Gunawan Karli Eka Setiawan Data Science Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia
The 2008 Global Financial Crisis was a devastating event for financial market investors worldwide, as it came unexpectedly and affected every financial market in the world, causing millions of people to suffer massive... 详细信息
来源: 评论
A Multiclass Semi-Supervised Deep Convolutional Generative Adversarial Network for Music Genre Classification Using Mel-Frequency Cepstral Coefficients  2
A Multiclass Semi-Supervised Deep Convolutional Generative A...
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2nd IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2024
作者: Satapathy, Ashutosh Duda, Neelima MacHcha, Jaswanthi Thottempudi, Kokila Velagapudi Ramakrishna Siddhartha Engineering College Department of Computer Science and Engineering Vijayawada India Velagapudi Ramakrishna Siddhartha Engineering College Department of Artificial Intelligence and Data Science Vijayawada India
The growing consumer base and expanding market for various music styles highlight the necessity of classifying music genres to cater to people's preferences. Manual music ranking is a labor-intensive process for l... 详细信息
来源: 评论
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process  25
From RAG to QA-RAG: Integrating Generative AI for Pharmaceut...
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40th Annual ACM Symposium on Applied Computing, SAC 2025
作者: Kim, Jaewoong Hur, Minseok Min, Moohong Department of Applied Data Science Sungkyunkwan University Seoul Korea Republic of Department of Immersive Media Engineering/Convergence Program for Social Innovation Sungkyunkwan University Seoul Korea Republic of Department of Computer Education/Convergence Program for Social Innovation Sungkyunkwan University Seoul Korea Republic of
Regulatory compliance in the pharmaceutical industry involves navigating complex and voluminous guidelines, often requiring significant amounts of human resources. Recent advancements in Large Language Models (LLMs) a... 详细信息
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OUT-OF-DOMAIN UNLABELED data IMPROVES GENERALIZATION  12
OUT-OF-DOMAIN UNLABELED DATA IMPROVES GENERALIZATION
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12th International Conference on Learning Representations, ICLR 2024
作者: Saberi, Amir Hossein Movasaghinia, Mohammad Hosein Najafi, Amir Motahari, Seyed Abolfazl Heidari, Alireza Khalaj, Babak H. Department of Electrical Engineering Department of Computer Engineering Sharif Center for Information Systems and Data Science Iran Sharif Institute for Convergence Science & Technology Sharif University of Technology Tehran Iran
We propose a novel framework for incorporating unlabeled data into semi-supervised classification problems, where scenarios involving the minimization of either i) adversarially robust or ii) non-robust loss functions... 详细信息
来源: 评论
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning  24
Unleashing the Power of Knowledge Graph for Recommendation v...
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33rd ACM Web Conference, WWW 2024
作者: Wang, Shuyao Sui, Yongduo Wang, Chao Xiong, Hui School of Data Science University of Science and Technology of China China Hong Kong The Department of Computer Science and Engineering The Hong Kong University of Science and Technology Guangzhou Hkust Fok Ying Tung Research Institute Hong Kong
Knowledge graph (KG) demonstrates substantial potential for enhancing the performance of recommender systems. Due to its rich semantic content and associations among interactive entities, it can effectively alleviate ... 详细信息
来源: 评论
Breast Cancer Image Classification Obtained Through Dynamic Thermography using Deep Learning
Breast Cancer Image Classification Obtained Through Dynamic ...
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science and Information Technology in Smart Administration (ICSINTESA), International Conference of
作者: Ethan Daniel Timadius Reyner Wongso Thirza Baihaqi Alexander Agung Santoso Gunawan Karli Eka Setiawan Data Science Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia
This paper addresses the vital task of diagnosing breast cancer early and accurately. It acknowledges the difficulty in detecting minor variations in breast cancer patterns through visual examination alone, particular... 详细信息
来源: 评论
Robust Graph Autoencoder-Based Detection of False data Injection Attacks Against data Poisoning in Smart Grids
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第3期5卷 1287-1301页
作者: Takiddin, Abdulrahman Ismail, Muhammad Atat, Rachad Davis, Katherine R. Serpedin, Erchin Department of Electrical and Computer Engineering Texas A and M University College StationTX77843 United States Department of Computer Science Tennessee Tech University CookevilleTN38505 United States Department of Electrical and Computer Engineering Program Texas A and M University Qatar Doha23874 Qatar
Machine learning-based detection of false data injection attacks (FDIAs) in smart grids relies on labeled measurement data for training and testing. The majority of existing detectors are developed assuming that the a... 详细信息
来源: 评论
Hybrid intelligent system for channel allocation and packet transmission in CR-IoT networks
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International Journal of Hybrid Intelligent Systems 2024年 第2期20卷 101-117页
作者: Asuquo, Daniel E. Umoh, Uduak A. Robinson, Samuel A. Dan, Emmanuel A. Udoh, Samuel S. Attai, Kingsley F. Department of Information Systems Faculty of Computing University of Uyo TETFund Center of Excellence in Computational Intelligence Research University of Uyo Department of Cyber Security Faculty of Computing University of Uyo Department of Computer Science Faculty of Computing University of Uyo Department of Data Science Faculty of Computing University of Uyo Department of Mathematics and Computer Science Ritman University Ikot Ekpene
The proliferation of interconnected devices is driving a surge in the demand for wireless spectrum. Meeting the need for wireless channel access for every device, while also ensuring consistent quality of service (QoS... 详细信息
来源: 评论
Detection of Plant Disease Using Machine Learning and Deep Learning Algorithms  8
Detection of Plant Disease Using Machine Learning and Deep L...
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8th IEEE International Conference on science, Technology, Engineering and Mathematics, ICONSTEM 2023
作者: Gollapudi, Kalyani Varigonda, Preethi Jancy, S. Pushpalatha, S. Marya, Viji Amutha Helen, Suji Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India Saveetha School of Engineering Simats Department of Data Analytics Chennai602105 India
Agriculture performs an critical position in India's economic system. Early detection of plant illnesses is critical to save you crop damage and similarly spread of diseases. Most plants, along with apple, tomato,... 详细信息
来源: 评论
Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator
Matching Correlated Inhomogeneous Random Graphs using the k-...
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2023 IEEE International Symposium on Information Theory, ISIT 2023
作者: Rácz, Miklós Z. Sridhar, Anirudh Northwestern University Department of Statistics and Data Science Department of Computer Science EvanstonIL United States Princeton University Department of Electrical and Computer Engineering PrincetonNJ United States
We consider the task of estimating the latent vertex correspondence between two edge-correlated random graphs with generic, inhomogeneous structure. We study the so-called k-core estimator, which outputs a vertex corr... 详细信息
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