Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Murayama, Taichi"'
The Transformer model has shown leading performance in time series forecasting. Nevertheless, in some complex scenarios, it tends to learn low-frequency features in the data and overlook high-frequency features, showing a frequency bias. This bias pr
Externí odkaz:
http://arxiv.org/abs/2406.09009
The advent of generative AI tools has had a profound impact on societies globally, transcending geographical boundaries. Understanding these tools' global reception and utilization is crucial for service providers and policymakers in shaping future p
Externí odkaz:
http://arxiv.org/abs/2405.20037
The emergence of generative AI has sparked substantial discussions, with the potential to have profound impacts on society in all aspects. As emerging technologies continue to advance, it is imperative to facilitate their proper integration into soci
Externí odkaz:
http://arxiv.org/abs/2305.09537
Social media has been a paramount arena for election campaigns for political actors. While many studies have been paying attention to the political campaigns related to partisanship, politicians also can conduct different campaigns according to their
Externí odkaz:
http://arxiv.org/abs/2301.07282
Autor:
Miyazaki, Kunihiro, Murayama, Taichi, Matsui, Akira, Nishikawa, Masaru, Uchiba, Takayuki, Kwak, Haewoon, An, Jisun
New leaders in democratic countries typically enjoy high approval ratings immediately after taking office. This phenomenon is called the honeymoon effect and is regarded as a significant political phenomenon; however, its mechanism remains underexplo
Externí odkaz:
http://arxiv.org/abs/2212.02827
Large quantifies of online user activity data, such as weekly web search volumes, which co-evolve with the mutual influence of several queries and locations, serve as an important social sensor. It is an important task to accurately forecast the futu
Externí odkaz:
http://arxiv.org/abs/2208.04846
Fake news provokes many societal problems; therefore, there has been extensive research on fake news detection tasks to counter it. Many fake news datasets were constructed as resources to facilitate this task. Contemporary research focuses almost ex
Externí odkaz:
http://arxiv.org/abs/2204.02718
Autor:
Murayama, Taichi
The rapid increase in fake news, which causes significant damage to society, triggers many fake news related studies, including the development of fake news detection and fact verification techniques. The resources for these studies are mainly availa
Externí odkaz:
http://arxiv.org/abs/2111.03299
Fake news causes significant damage to society.To deal with these fake news, several studies on building detection models and arranging datasets have been conducted. Most of the fake news datasets depend on a specific time period. Consequently, the d
Externí odkaz:
http://arxiv.org/abs/2108.12601
The accurate forecasting of infectious epidemic diseases such as influenza is a crucial task undertaken by medical institutions. Although numerous flu forecasting methods and models based mainly on historical flu activity data and online user-generat
Externí odkaz:
http://arxiv.org/abs/2107.01760