July 19th - 24th 2020
Glasgow, Scotland, UK
Human-in-the-Loop Interactions in
Fuzzy Reasoning and Machine Learning
Extracting information from a massive amount of humans’ natural behaviour and cognition patterns has allowed supporting the machine learning and decisions in many fields, ranging from computer science to engineering. Human-in-the-loop approaches interact with fuzzy reasoning as well as machine learning are gaining popularity as a better approach to training more accurate models, because the human feedback into the learning loop of the machine can help it improve faster. Recent advances in fuzzy systems and machine learning, are giving momentum to human-in-the-loop approaches to enable complex paradigms that operate in connection with human beings.
Given the remarkable achievement associated with the processing of human physiological signals obtained from neuroimaging modalities and cognitive systems, it has been proposed as a useful and effective framework for the modelling and understanding of human behaviour and cognition patterns as well as to enable a direct communication pathway between the human and machine. This paves the way for developing new human-in-the-loop interacting and interfacing techniques in fuzzy reasoning and machine learning that foster the capabilities for understanding and modelling the training process.
This special session is aimed at gathering outstanding papers about integrating human informatics and their interacting applications using fuzzy systems and machine learning. This will provide a snapshot of the latest advances in the contribution of human-in-the-loop interactions powered by fuzzy learning frameworks.
Scope and Topics
The list of possible topics includes, but is not limited to:
Fuzzy modelling and reasoning for the recognition of human cognitive processes.
Fuzzy decoding of brain activity patterns and brain-computer/machine interactions and interfaces.
Fuzzy logic and systems approach to support human data analytics and neuro-informatics.
Fuzzy logic and fuzzy sets for the acquisition of human uncertainties and vulnerabilities.
Theoretical development of human-in-the-loop learning.
Applications of fuzzy techniques and machine learning in human datasets.
Important Dates (For deadline extensions, go to WCCI 2020 website)
15th January 2020 – Paper submission deadline
15th March 2020 – Paper acceptance notification
19th – 24th July 2020 – IEEE WCCI 2020, Glasgow, Scotland, UK
Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of WCCI 2020. Authors who submit papers to this session are invited to select “Special Session - Fuzzy20”. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers.
For further information and news, please refer to the WCCI 2020 website:
Dr. Zehong (Jimmy) Cao
University of Tasmania, TAS, Australia
Prof. Chin-Teng Lin
University of Technology Sydney, NSW, Australia
Prof. Dongrui Wu
Huazhong University of Science and Technology, Wuhan, China