Prediction of regions including dislocations in multicrystalline silicon photoluminescence image by transfer learning of convolutional neural network. - Hiroaki Kudo; Yusuke Hayama; Tetsuya Matsumoto; Kentaro Kutsukake; Noritaka Usami (Aust. J. Intell. Inf. Process. Syst., 2019)

Bayesian Active Learning for Structured Output Design. - Kota Matsui; Shunya Kusakawa; Keisuke Ando; Kentaro Kutsukake; Toru Ujihara; Ichiro Takeuchi (CoRR, 2019)

Bayesian Optimization for Cascade-type Multi-stage Processes. - Shunya Kusakawa; Shion Takeno; Yu Inatsu; Kentaro Kutsukake; Shogo Iwazaki; Takashi Nakano; Toru Ujihara; Masayuki Karasuyama; Ichiro Takeuchi (CoRR, 2021)

Occurrence Prediction of Dislocation Regions in Photoluminescence Image of Multicrystalline Silicon Wafers Using Transfer Learning of Convolutional Neural Network. - Hiroaki Kudo; Tetsuya Matsumoto; Kentaro Kutsukake; Noritaka Usami (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Bayesian Optimization for Cascade-Type Multistage Processes. - Shunya Kusakawa; Shion Takeno; Yu Inatsu; Kentaro Kutsukake; Shogo Iwazaki; Takashi Nakano; Toru Ujihara; Masayuki Karasuyama; Ichiro Takeuchi (Neural Comput., 2022)

Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation. - Shota Hozumi; Kentaro Kutsukake; Kota Matsui; Shunya Kusakawa; Toru Ujihara; Ichiro Takeuchi (CoRR, 2023)

Active Learning for Level Set Estimation Using Randomized Straddle Algorithms. - Yu Inatsu; Shion Takeno; Kentaro Kutsukake; Ichiro Takeuchi (Trans. Mach. Learn. Res., 2024)

An (ε,δ)-accurate level set estimation with a stopping criterion. - Hideaki Ishibashi; Kota Matsui; Kentaro Kutsukake; Hideitsu Hino (CoRR, 2025)