| A Genetic Programming Approach to Designing Convolutional Neural Network Architectures M Suganuma, S Shirakawa, T Nagao Proceedings of the Genetic and Evolutionary Computation Conference 2017, 497-504, 2017 | 156 | 2017 |
| Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search M Suganuma, M Ozay, T Okatani International Conference on Machine Learning (ICML), 2018 | 13 | 2018 |
| Hierarchical feature construction for image classification using Genetic Programming M Suganuma, D Tsuchiya, S Shirakawa, T Nagao 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 8 | 2016 |
| Attention-based adaptive selection of operations for image restoration in the presence of unknown combined distortions M Suganuma, X Liu, T Okatani IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 4 | 2018 |
| Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration X Liu, M Suganuma, Z Sun, T Okatani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 2 | 2019 |
| Controlling an Autonomous Agent for Exploring Unknown Environments Using Switching Prelearned Modules T Hata, M Suganuma, T Nagao Electronics and Communications in Japan 101 (5), 84-93, 2018 | 1 | 2018 |
| Generative adversarial network for visualizing convolutional network M Kobayashi, M Suganuma, T Nagao 2017 IEEE 10th International Workshop on Computational Intelligence and …, 2017 | 1 | 2017 |
| 決定木および決定ネットワークによる画像分類過程の説明文の自動生成 崎津実穂， 菅沼雅徳， 土屋大樹， 長尾智晴 情報処理学会論文誌数理モデル化と応用 (TOM) 9 (1), 43-52, 2016 | 1 | 2016 |
| Joint Learning of Multiple Image Restoration Tasks X Liu, M Suganuma, T Okatani arXiv preprint arXiv:1907.04508, 2019 | | 2019 |
| Improving Generalization Ability of Deep Neural Networks for Visual Recognition Tasks T Okatani, X Liu, M Suganuma International Workshop on Computational Color Imaging, 3-13, 2019 | | 2019 |
| Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming M Suganuma, M Kobayashi, S Shirakawa, T Nagao Evolutionary computation, 1-23, 2019 | | 2019 |
| A generative model approach for visualising convolutional neural networks M Kobayashi, M Suganuma, T Nagao International Journal of Computational Intelligence Studies 7 (3-4), 214-230, 2018 | | 2018 |
| Acquiring grasp strategies for a multifingered robot hand using evolutionary algorithms C Hirayama, T Watanabe, S Kawabata, M Suganuma, T Nagao 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | | 2017 |
| 異常検知のための自己組織化モデルとその監視映像への適用 菅沼雅徳， 長尾智晴 情報処理学会論文誌数理モデル化と応用 (TOM) 9 (1), 23-32, 2016 | | 2016 |
| 覚醒下脳腫瘍摘出術における皮質マッピング動画像記録の電気刺激位置の自動検出 菅沼雅徳， 長尾智晴， 田村学， 村垣善浩， 伊関洋 Medical Imaging Technology 32 (4), 272-281, 2014 | | 2014 |
| Detection of electrical stimulation position in recorded surgery videos of cortical mapping in awake brain surgery M Suganuma, T Nagao 2013 IEEE 6th International Workshop on Computational Intelligence and …, 2013 | | 2013 |
| Supplementary Material for “Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions” M Suganuma, X Liu, T Okatani | | |