Multi-label classification with XGBoost for metabolic pathway prediction
H Joe, HG Kim - BMC bioinformatics, 2024 - Springer
Background Metabolic pathway prediction is one possible approach to address the problem
in system biology of reconstructing an organism's metabolic network from its genome …
in system biology of reconstructing an organism's metabolic network from its genome …
It takes two to negotiate: Modeling social exchange in online multiplayer games
Online games are dynamic environments where players interact with each other, which
offers a rich setting for understanding how players negotiate their way through the game to …
offers a rich setting for understanding how players negotiate their way through the game to …
Modelling and analysis of misinformation diffusion based on the double intervention mechanism
C Jiang, Y Yu, X Zhang - Journal of Information Science, 2023 - journals.sagepub.com
Although official departments attempt to intervene against misinformation, the personal field
often conflicts with the goals of these departments. Thus, when rumours spread widely on …
often conflicts with the goals of these departments. Thus, when rumours spread widely on …
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
W Mieleszczenko-Kowszewicz, D Płudowski… - arxiv preprint arxiv …, 2024 - arxiv.org
This study explores how the Large Language Models (LLMs) adjust linguistic features to
create personalized persuasive outputs. While research showed that LLMs personalize …
create personalized persuasive outputs. While research showed that LLMs personalize …
Research and Application of Digital Media Object Classification Method Based on Large Interval Distribution Learning
H Ru, Y Tang - 2023 3rd International Conference on Smart …, 2023 - ieeexplore.ieee.org
Digital media object classification plays an important role in digital media, but there is a
problem of low classification accuracy. Deep learning algorithms cannot improve the …
problem of low classification accuracy. Deep learning algorithms cannot improve the …