The COVID-19 pandemic which began in late 2019 has posed a historical challenge to society. At the time of writing, scientists, clinicians, and healthcare experts around the globe continue to search for new technologies to support those tackling the pandemic. The evidence deriving from the application of Machine Learning (ML) and Artificial Intelligence (AI) to previous epidemics encourages researchers by providing a new angle with which to fight the novel corona virus outbreak. ML and AI are widely applied to facilitate our daily lives, as well as in scientific research.

The International Conference on Machine Learning and Intelligent Systems (MLIS) is an annual conference that aims to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of ML and intelligent systems. It also strengthens links within the scientific community in related research areas. MLIS 2020 was initially scheduled to be held in Seoul, Korea from 25–28 October 2020, but was changed to an online conference on the same dates due to COVID-19 restrictions. Scientific topics covered at MLIS 2020 included data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, robotics, etc.

This book contains 53 papers selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review scored on: originality, scientific/practical significance, compelling logical reasoning and language. Rigorous peer review was conducted by members of the Editorial Committee led by Guest Editors Prof. Antonio J. Tallón-Ballesteros and Prof. Chi-Hua Chen, as well as active reviewers like Prof. Dheyaa Jasim Kadhim, Prof. Saeid Seyedi, Prof. Ivan Izonin, Prof. Behrouz Pourghebleh, Prof. Tahereh Eftekhari, Prof. Ilaria Cacciari, Prof. Ogundokun Roseline Oluwaseun, who engaged authors to answer stimulating questions for the camera-ready versions of their papers. We believe the 53 papers selected will provide some insights 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 all the Reviewers for their tremendous efforts and dedication to the conference. We also wish to thank all the authors for their relevant contributions to the conference, as well as all our colleagues at the publishers IOS Press for their support and tireless efforts in preparation for the publication of the conference proceedings. We believe that with such earnest support and contributions, future MLIS Conferences will also scale new heights.

Guest Editors:

Antonio J. Tallón-Ballesteros

University of Huelva (Spain)

Seville city, Spain

Chi-Hua Chen

Fuzhou University (China)

Fuzhou City, Fujian, China