Hisatake Yokouchi

Learn More
In the growing E-commerce market, many online shopping sites have adopted product recommendation systems to expand their business opportunities. We have focused on iGA (interactive Genetic Algorithm) as a solution to product recommendation algorithms. Although iGA is an optimization technique for user's preference through the interaction between systems and(More)
The interactive genetic algorithm(iGA) is a method to obtain and predict a user ’s preference based on subjective evaluation of users, and it has been applied to many unimodal problems, such as designing clothes or fitting of hearing aids. On the other hand, we are interested in applying iGA to user ’s preferences, which can be described as a multimodal(More)
Many types of artifacts can be connected and controlled over a network. However, when a lot of artifacts are connected, it is very difficult to control with conventional interface switches. The interface of these systems should be suitable for each individual user and should be designed for ease of operation. In this paper, a new type of user-friendly(More)
In multi-objective optimization, it is important that the obtained solutions are high quality regarding accuracy, uniform distribution, and broadness. Of these qualities, we focused on accuracy and broadness of the solutions and proposed a search strategy. Since it is difficult to improve both convergence and broadness of the solutions at the same time in a(More)
The final goal of this research is to construct a cell image analysis system for supporting corneal regenerative medicine. Existing image analysis software requires knowledge about image processing of users because users have to combine several image processing on its analysis. Therefore, several types of methods to construct the objective image processing(More)
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training data. A user must decide how much training data to use in the training, and then select the data to be used from a given data set. We considered to handle this SVM training data(More)
The Psychomotor Vigilance Task (PVT) and the GO/NOGO task are generally applied to measure the ability of sustained attention. Advances in functional brain imaging equipment, such as functional Magnetic Resonance Imaging (fMRI) and functional Near-Infrared Spectroscopy (fNIRS), have resulted in increased application of brain imaging with these tasks.(More)
Independent component analysis (ICA) is one of the most preferred methods for removing motion artifacts from functional near-infrared spectroscopy (fNIRS) data. In this method, fNIRS signal is separated into some components by ICA. The component which has high correlation between fNIRS signal and motion artifact is determined. This component is removed and(More)
The characteristics of a network of Peer-to-Peer Evolutionary Algorithms (P2P EA), which are parallel genetic algorithms, are discussed. We applied the concept of P2P EA, which is a single-objective optimization method, to a multi-objective Genetic Algorithm. To verify the performance of the solution set in the proposed method, we compared the proposed(More)