Naotake Natori - researchr alias

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Viewing Publication 1 - 13 from 13

2024

2022

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural NetworksShin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori. sensors, 22(8):2876, 2022. [doi]

Model Training that Prioritizes Rare Overlapped Labels for Polyphonic Sound Event DetectionRie Koga, Sawa Takamuku, Keisuke Imoto, Naotake Natori. dcase 2022: [doi]

Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature ConfusionManogna Sreenivas, Sawa Takamuku, Soma Biswas, Aditya Chepuri, Balasubramanian Vengatesan, Naotake Natori. eccv 2023: 262-277 [doi]

Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision ApproachesYukiko Takahashi, Sawa Takamuku, Keisuke Imoto, Naotake Natori. iwaenc 2022: 1-5 [doi]

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose EstimationMasakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori. iros 2022: 532-537 [doi]

Software-Engineering Design Patterns for Machine Learning ApplicationsHironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Naotake Natori, Takuo Doi, Satoshi Okuda. Computer, 55(3):30-39, 2022. [doi]

2021

Improving Semi-Supervised Domain Adaptation Using Effective Target Selection and SemanticsAnurag Singh, Naren Doraiswamy, Sawa Takamuku, Megh Bhalerao, Titir Dutta, Soma Biswas, Aditya Chepuri, Balasubramanian Vengatesan, Naotake Natori. cvpr 2021: 2709-2718 [doi]

2020

Efficient Defect Detection from Consecutive Monocular Images by Deep LearningTruong Vinh Truong Duy, Naotake Natori. icmla 2020: 473-478 [doi]

Practitioners' insights on machine-learning software engineering design patterns: a preliminary studyHironori Washizaki, Hironori Takeuchi, Foutse Khomh, Naotake Natori, Takuo Doi, Satoshi Okuda. ICSM 2020: 797-799 [doi]

2017

Banknote portrait detection using convolutional neural networkRyutaro Kitagawa, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Matsuki, Naotake Natori, Hiroshi Ishikawa 0002. mva 2017: 440-443 [doi]

1995

A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanismNaotake Natori, Kazuo Nishimura. icnn 1995: 3089-3094 [doi]

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