2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)

Research in machine learning and intelligent systems is promising but faces many challenges. These challenges include, but are not limited to, issues such as data acquisition and quality, algorithm design and optimization, interpretability and reliability, privacy and security, ethical and social implications, overfitting and underfitting, multi-source data fusion, continuous and incremental learning, computational resources and energy consumption. Solving these problems requires in-depth theoretical research and technological innovation, as well as cooperation and exchanges from multiple disciplines, MLISE focuses on machine learning and intelligent systems, in-depth theoretical research, algorithm optimization, as well as information security, and hopes to provide a platform for the majority of scientific research practitioners to communicate with each other.