Human-Centric Intelligent Systems

The objectives of Human-Centric Intelligent Systems (HCIN) for submission in respect of a Special Issue are (a) academically excellence, (b) relevance to HCIN, and (c) innovation of topic.

The purpose of this Special Issue is to gather a collection of the latest studies on various topics in open-world machine learning for improving human decision-making, whether theoretical or empirical, that address but are not limited to the following topics: (i) continual learning; (ii) incremental learning; (iv) data-driven decision making; (v) knowledge-enhanced machine learning; (vi) multi-granularity cognitive computing.

The collection is edited by Dr. Chuan Luo, Prof. Dun Liu and Prof. Xin Yang.

Image Credit: [M] Grafissimo / Getty Image / iStock

This special issue aims to foster the flexibility and reliability of AV decision-making in open environments with random uncertainties. We seek for papers that integrate computer and information science, transportation science, operations research, cognitive neuroscience, and psychology into the direction of human-like autonomous driving.

The collection is edited by Prof. Dr. Yongjun Shen, Prof. Dr. Yanyong Guo and Prof. Dr. Zhongxiang Feng.

Image Credit: metamorworks / Getty images / iStock

The 2023 Best Editor Award recognizes the outstanding and significant contributions of editors who excel in manuscript handling, peer review, and journal promotion throughout the year of 2023.

The winner of this award will receive a Certificate of Best Editor Award and a $500 bonus.