A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism. - Naotake Natori; Kazuo Nishimura (ICNN, 1995)

Banknote portrait detection using convolutional neural network. - Ryutaro Kitagawa; Yoshihiko Mochizuki; Satoshi Iizuka; Edgar Simo-Serra; Hiroshi Matsuki; Naotake Natori; Hiroshi Ishikawa 002 (MVA, 2017)

Efficient Defect Detection from Consecutive Monocular Images by Deep Learning. - Truong Vinh Truong Duy; Naotake Natori (ICMLA, 2020)

Practitioners' insights on machine-learning software engineering design patterns: a preliminary study. - Hironori Washizaki; Hironori Takeuchi; Foutse Khomh; Naotake Natori; Takuo Doi; Satoshi Okuda (ICSME, 2020)

Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and Semantics. - Anurag Singh; Naren Doraiswamy; Sawa Takamuku; Megh Bhalerao; Titir Dutta; Soma Biswas; Aditya Chepuri; Balasubramanian Vengatesan; Naotake Natori (CVPR Workshops, 2021)

Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event Detection. - Rie Koga; Sawa Takamuku; Keisuke Imoto; Naotake Natori (DCASE, 2022)

Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion. - Manogna Sreenivas; Sawa Takamuku; Soma Biswas; Aditya Chepuri; Balasubramanian Vengatesan; Naotake Natori (ECCV Workshops (5), 2022)

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. - Masakazu Tobeta; Yoshihide Sawada; Ze Zheng; Sawa Takamuku; Naotake Natori (IROS, 2022)

Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision Approaches. - Yukiko Takahashi; Sawa Takamuku; Keisuke Imoto; Naotake Natori (IWAENC, 2022)

Software-Engineering Design Patterns for Machine Learning Applications. - Hironori Washizaki; Foutse Khomh; Yann-Gaël Guéhéneuc; Hironori Takeuchi; Naotake Natori; Takuo Doi; Satoshi Okuda (Computer, 2022)

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. - Shin-ichi Ikegawa; Ryuji Saiin; Yoshihide Sawada; Naotake Natori (Sensors, 2022)

Absorbing Phase Transitions in Artificial Deep Neural Networks. - Keiichi Tamai; Tsuyoshi Okubo; Truong Vinh Truong Duy; Naotake Natori; Synge Todo (CoRR, 2023)

DepthSegNet24: A Label-Free Model for Robust Day-Night Depth and Semantics. - Phan Thi Thanh Huyen; The Hiep Nguyen; Minh Huy Vu Nguyen; Trung Thai Tran; Tran Vu Pham; Duc Dung Nguyen; Truong Vinh Truong Duy; Naotake Natori (ACCV (7), 2024)

Transfer multi-source knowledge via scale-aware online domain adaptation in depth estimation for autonomous driving. - Phan Thi Thanh Huyen; Minh-Quan Viet Bui; Duc Dung Nguyen; Tran Vu Pham; Truong Vinh Truong Duy; Naotake Natori (Image Vis. Comput., 2024)