| 2025 | AusDM | Regularizing StyleGAN with Inter-resolution Residual Pattern Consistency via a Laplacian Pyramid. | Takahiro Koide, Keisuke Kameyama |
| 2025 | AusDM | Mixup and Local-FOMA Based Two-Phase Manifold Augmentation in Image Classification. | Takumi Shirahama, Keisuke Kameyama |
| 2024 | ICONIP | Physics-Informed Antisymmetric Recurrent Neural Networks for Solving Nonlinear Partial Differential Equations. | Pavodi Maniamfu, U. A. Md. Ehsan Ali, K Sakai, Keisuke Kameyama |
| 2024 | IJCNN | Affinity-Weighted RandAugment for Problem-Oriented Augmentation. | Yuna Park, Tomoumi Takase, Keisuke Kameyama, Masaki Onishi |
| 2022 | PERCOM | Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training. | Takumi Morikawa, Keisuke Kameyama |
| 2021 | ICONIP | Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image. | Keita Ogawa, Keisuke Kameyama |
| 2019 | IJCNN | Active Learning with Interpretable Predictor. | Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino |
| 2018 | ICONIP | Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes. | Shota Utsumi, Keisuke Kameyama |
| 2015 | ICONIP | Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels. | Keisuke Kameyama, Trung Nguyen Bao Phan, Miharu Aizawa |
| 2015 | MVA | Document image dataset indexing and compression using connected components clustering. | Houssem Chatbri, Keisuke Kameyama |
| 2014 | CEC | A modular approach for query spotting in document images and its optimization using genetic algorithms. | Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama |
| 2014 | ICPR | An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images. | Houssem Chatbri, Paul Wing Hing Kwan, Keisuke Kameyama |
| 2013 | DICTA | Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description. | Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan |
| 2013 | ICONIP | Composite Color Invariant Feature H′ Applied to Image Matching. | Keisuke Kameyama, Wataru Matsumoto |
| 2013 | ICONIP | Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation. | Keisuke Kameyama, Trung Nguyen Bao Phan |
| 2012 | ICPR | Towards making thinning algorithms robust against noise in sketch images. | Houssem Chatbri, Keisuke Kameyama |
| 2010 | ISDA | Feature selection for user-adaptive content-based music retrieval using Particle Swarm Optimization. | Toru Nozaki, Keisuke Kameyama |
| 2008 | SMC | User-adaptive image clustering using relevance feedback for efficient content-based retrieval. | Masaki Kobayashi, Keisuke Kameyama |
| 2008 | SMC | Content-based music retrieval with nonlinear feature space transformation using relevance feedback. | Shunsuke Sakai, Keisuke Kameyama |
| 2007 | ICONIP | Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification. | Keisuke Kameyama |
| 2007 | ICONIP | Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization. | Mayuko Okayama, Nozomi Oka, Keisuke Kameyama |
| 2006 | CEC | Optimal Parameter Selection in Image Similarity Evaluation Algorithms Using Particle Swarm Optimization. | Keisuke Kameyama, Nozomi Oka, Kazuo Toraichi |
| 2006 | MDM | Quality Improvement of MP3 Encoded Audio Reproduction using Fluency Locally Supported Sampling Function for Use in Cell Phones. | Masakazu Higuchi, Shuji Kawasaki, Keisuke Kameyama, Yasuo Morooka, Kazuo Toraichi |
| 2004 | IJCNN | Texture classification by support vector machines with kernels for higher-order Gabor filtering. | Keisuke Kameyama, Kei Taga |
| 2003 | DEXA | Approximate Query Processing for a Content-Based Image Retrieval Method. | Paul Wing Hing Kwan, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama |
| 2003 | IJCNN | Layered neural network training with model switching and hidden layer feature regularization. | Keisuke Kameyama, Kei Taga |
| 2002 | ICIP | TAST-Trademark Application Assistant. | Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kameyama, Fumio Kawazoe, Koji Nakamura |
| 1999 | IJCNN | Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching. | Keisuke Kameyama, Yukio Kosugi |
| 1996 | ICIP | CCE-based index selection for neuro assisted MR-image segmentation. | Yukio Kosugi, Yusuke Suganami, Naoko Uemoto, Keisuke Kameyama, Mikiya Sase, Toshimitsu Momose, Junichi Nishikawa |
| 1994 | MVA | Movement Tracer System Using Non-Parallel Multiple Line Detectors and High Order Correlation Analysis. | Masashi Sakamoto, Keisuke Kameyama, Katsuyuki Kuwano, Takuso Sato |