During the recent pandemic, evidence from Machine Learning (ML) and Artificial Intelligence (AI) applications encouraged researchers by providing a new angle from which to fight the novel corona virus outbreak, as well as better facilitating our daily life.
The International Conference on Machine Learning and Intelligent Systems (MLIS) is an annual conference that aims to provide a platform for the exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems, and to strengthen links in the scientific community in related research areas. MLIS 2022 was initially scheduled to be held in a hybrid event from 8th–11th November; live in Seoul, South Korea, and online via MS TEAMS, but was changed to a fully virtual conference due to the continued uncertainty caused by the global pandemic. Scientific topics covered at MLIS 2022 include data mining, image processing, neural networks, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics.
This volume presents the proceeding of the 4th International Conference on Machine Learning and Intelligent Systems (MLIS 2022). Rigorous peer review was conducted on each paper by at least two reviewers, and 20 accepted papers were selected from the more than 90 full papers submitted based on originality, scientific/practical significance, compelling logical reasoning and language. We believe that the 20 papers selected all provide either innovative and original ideas or results of general significance in the field of ML and AI.
On behalf of the conference organizers, we would like to take this opportunity to express our sincere thanks to the guest editor and reviewers for their tremendous efforts and dedication to the conference and to the authors for their relevant contributions to the conference, as well as our colleagues from IOS Press for their support and their tireless efforts in the publication of the conference proceedings. We believe that with such support and contributions, future MLIS Conferences will also scale new heights.
Prof. Jon-Lark Kim
Sogang University, South Korea