10 citations · 37 across the 10 of their papers we have counts for
10 papers
Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
Naoki Masuyama, Yusuke Nojima, Yuichiro Toda +3
With the increasing importance of data privacy protection, various privacy-preserving machine learning methods have been proposed. In the clustering domain, various algorithms with…
A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction
Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan +8
In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robo…
Fuzzy Gesture Expression Model for an Interactive and Safe Robot Partner
Alexis Stoven-Dubois, Janos Botzheim, Naoyuki Kubota
Interaction with a robot partner requires many elements, including not only speech but also embodiment. Thus, gestural and facial expressions are important for communication. Furth…
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen +6
This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go. The genetic fuzzy markup language…
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +8
This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction app…
Human and Smart Machine Co-Learning with Brain Computer Interface
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +5
Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area. Neverthele…
Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning
Chang-Shing Lee, Mei-Hui Wang, Tzong-Xiang Huang +6
An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The…
Ontology-based Adaptive e-Textbook Platform for Student and Machine Co-Learning
Noel Nuo Wi Tay, Sheng-Chi Yang, Chang-Shing Lee +1
The use of electronic textbooks (e-book) has been heavily studied over the years due to their flexibility, accessibility, interactivity and extensibility. Yet current shortcomings…
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Sheng-Chi Yang +7
In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human-Machine Co…
FML-based Prediction Agent and Its Application to Game of Go
Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao +5
In this paper, we present a robotic prediction agent including a darkforest Go engine, a fuzzy markup language (FML) assessment engine, an FML-based decision support engine, and a…