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Listar por autor "Chun-Wei Lin, Jerry"

Mostrando ítems 1-5 de 5

    • An Efficient Bet-GCN Approach for Link Prediction 

      Saxena, Rahul; Pankaj Patil, Spandan; Kumar Verma, Atul; Jadeja, Mahipal; Vyas, Pranshu; Bhateja, Vikrant; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2023)
      The task of determining whether or not a link will exist between two entities, given the current position of the network, is called link prediction. The study of predicting and analyzing links between entities in a network ...

    • An Ensemble Classifier for Stock Trend Prediction Using Sentence-Level Chinese News Sentiment and Technical Indicators 

      Chen, Chun-Hao; Chen, Po-Yeh; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      In the financial market, predicting stock trends based on stock market news is a challenging task, and researchers are devoted to developing forecasting models. From the existing literature, the performance of the forecasting ...

    • Editor's Note 

      Chun-Wei Lin, Jerry; Srivastava, Gautam; Tseng, Vicent S. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      In today’s world, we have witnessed an onset of multimedia content being uploaded/downloaded and shared through a multitude of platforms both online and offline. In support of this trend, multimedia processing and analyzing ...

    • Guest Editorial: Special Issue on "Current Trends and the Future of Internet of Things (IoT) in Industry and Enterprise" 

      García Díaz, Vicente; Chun-Wei Lin, Jerry; Morente-Molinera, Juan Antonio (Journal of internet technology, 2022)
      The Internet of Things (IoT) has become an inevitable technological trend across various landscapes. Similarly, IoT solutions for industry and enterprise are at the forefront of technological advancement. When combined ...

    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...