| 2023 | IJCNN | Neural Network Module Decomposition and Recomposition with Superimposed Masks. | Hiroaki Kingetsu, Kenichi Kobayashi, Taiji Suzuki |
| 2022 | ICIP | Multi-Step Test-Time Adaptation with Entropy Minimization and Pseudo-Labeling. | Hiroaki Kingetsu, Kenichi Kobayashi, Yoshihiro Okawa, Yasuto Yokota, Katsuhito Nakazawa |
| 2021 | IJCNN | Born-Again Decision Boundary: Unsupervised Concept Drift Detection by Inspector Neural Network. | Hiroaki Kingetsu, Kenichi Kobayashi |
| 2021 | IJCNN | Concept Drift Detection via Boundary Shrinking. | Yoshihiro Okawa, Kenichi Kobayashi |
| 2018 | SMC | Evaluation of Data Augmentation for Image-Based Plant-Disease Detection. | Kenichi Kobayashi, Junpei Tsuji, Masato Noto |
| 2012 | ISSRE | Applying Test Data Generation Using SMT Solver to COBOL. | Yusuke Sasaki, Yoshiharu Maeda, Kenichi Kobayashi, Akihiko Matsuo |
| 2007 | GLOBECOM | Precoding for MIMO Systems in Line-Of-Sight (LOS) Environment. | Kenichi Kobayashi, Tomoaki Ohtsuki, Toshinobu Kaneko |
| 2006 | VTC | MMSE Precoder with Mode Selection for MIMO Systems. | Kenichi Kobayashi, Tomoaki Ohtsuki, Toshinobu Kaneko |
| 2003 | DIS | Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns. | Yukiko Yoshida, Yuiko Ohta, Kenichi Kobayashi, Nobuhiro Yugami |