| 1. |
Data Augmentation of Medical Images Based on Conditional GAN. |
| 2. |
Image classification. |
| 3. |
Font Style Transfer. |
| 4. |
Adaptive Selection of Data Augmentation Methods. |
| 5. |
Generating of adversarial examples in character images. |
| 6. |
Adaptive Class Balancing. |
| 7. |
「 スウリ ・ データサイエンス ・ AI キョウイク プログラム(リテラシーレベル)プラス 」 センテイコウ ニ オケル キョウイク ジッセン トリクミ ノ ショウカイ(ソノ 1). |
| 8. |
AIとは何か? : 入門編: トクシュウ サア 、 AI オ ハジメヨウ : ドボク コウガク エ ノ AI ドウニュウ ノ ススメ. |
| 9. |
内田誠一, Open Research Directions of Document Analysis and Recognition, 3rd IAPR Summer School on Document Analysis (SSDA2019): Deep Learning Applications for Document Analysis, 2019.08. |
| 10. |
内田誠一, Machine learning for pattern recognition: From the nearest-neighbor method to deep learning, One Day Internaiotnal Workshop on Pattern Recognition Application 2019, 2019.08. |
| 11. |
内田誠一, Machine learning for pattern recognition: From the nearest-neighbor method to deep learning, One Day Internaiotnal Workshop on Pattern Recognition Application 2019, 2019.08. |
| 12. |
内田誠一, Open Research Directions of Document Analysis and Recognition, 3rd IAPR Summer School on Document Analysis (SSDA2019): Deep Learning Applications for Document Analysis, 2019.08. |
| 13. |
Yosuke Onitsuka, Wataru Ohyama, Seiichi Uchida, Learning Convolutional Autoencoders with a Metric Constraint, 画像の認識・理解シンポジウム, 2019.07. |
| 14. |
Shota Harada, Hideaki Hayashi, Ryoma Bise, Qier Meng, Kiyohito Tanaka, Seiichi Uchida, Endoscopic Image Clustering Based on Temporal Ordering Information, 画像の認識・理解シンポジウム, 2019.07. |
| 15. |
Shota Harada, Hideaki Hayashi, Ryoma Bise, Qier Meng, Kiyohito Tanaka, Seiichi Uchida, Endoscopic Image Clustering Based on Temporal Ordering Information, 画像の認識・理解シンポジウム, 2019.07. |
| 16. |
Yosuke Onitsuka, Wataru Ohyama, Seiichi Uchida, Learning Convolutional Autoencoders with a Metric Constraint, 画像の認識・理解シンポジウム, 2019.07. |
| 17. |
Daisuke Matsuoka, Masuo Nakano, Daisuke Sugiyama and Seiichi Uchida, Classification with imbalanced cloud data using deep convolutional neural network, Japan Geoscience Union Meeting 2019, 2019.05. |
| 18. |
Daisuke Matsuoka, Masuo Nakano, Daisuke Sugiyama and Seiichi Uchida, Classification with imbalanced cloud data using deep convolutional neural network, Japan Geoscience Union Meeting 2019, 2019.05. |
| 19. |
内田誠一, Biomedical image analysis as an interesting machine learning task, Shonan Meeting No.128 Workshop on Patient Similitude: Combining Histopathological Images & Multiple-Scale Molecular Phenotypes, 2018.11. |
| 20. |
内田誠一, Biomedical image analysis as an interesting machine learning task, Shonan Meeting No.128 Workshop on Patient Similitude: Combining Histopathological Images & Multiple-Scale Molecular Phenotypes, 2018.11. |
| 21. |
ソン ホン, 末廣大貴, 内田誠一, オンライン人流予測, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 22. |
ジ ショウトン, Yuchen Zheng, 早志英朗, 内田誠一, CNN層による異常検出, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 23. |
李 俊鎬, 早志英朗, 内田誠一, 時系列データのための掛け算レイヤ, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 24. |
ジ ショウトン, Yuchen Zheng, 早志英朗, 内田誠一, CNN層による異常検出, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 25. |
ソン ホン, 末廣大貴, 内田誠一, オンライン人流予測, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 26. |
李 俊鎬, 早志英朗, 内田誠一, 時系列データのための掛け算レイヤ, 電気・情報関係学会九州支部連合大会, 2018.09. |
| 27. |
Seiichi Uchida,
Machine learning for document analysis and understanding , IAPR TC10/TC11 Summer School on Document Analysis, 2018.07. |
| 28. |
Seiichi Uchida, Machine learning for document analysis and understanding, IAPR TC10/TC11 Summer School on Document Analysis, 2018.07. |
| 29. |
内田誠一, Beyond 100%, ICDAR Special Workshop on the Future of Document Analysis and Recognition, 2017.11. |
| 30. |
内田誠一, ML for DAR, DAR for ML --- How machine learning and document analysis and recognition benefit each other, ICDAR Workshop on Machine Learning , 2017.11. |
| 31. |
内田誠一, Beyond 100%, ICDAR Special Workshop on the Future of Document Analysis and Recognition, 2017.11. |
| 32. |
内田誠一, ML for DAR, DAR for ML --- How machine learning and document analysis and recognition benefit each other, ICDAR Workshop on Machine Learning, 2017.11. |
| 33. |
Gantugs Atarsaikhan, 内田誠一, 成沢淳之, 柳井啓司, Brian Iwana, Font Generation using Neural Style Transfer, 電気・情報関係学会九州支部連合大会, 2017.09. |
| 34. |
黒木陵平, 内田誠一, Discriminative Features for Digits by Network-In-Network, 電気・情報関係学会九州支部連合大会, 2017.09. |
| 35. |
黒木陵平, 内田誠一, Discriminative Features for Digits by Network-In-Network, 電気・情報関係学会九州支部連合大会, 2017.09. |
| 36. |
Gantugs Atarsaikhan, 内田誠一, 成沢淳之, 柳井啓司, Brian Iwana, Font Generation using Neural Style Transfer, 電気・情報関係学会九州支部連合大会, 2017.09. |
| 37. |
Jinho Lee, Shouta Ide, Seiichi Uchida, Object Tracking Based on CNN, 電気関係学会九州支部連合大会, 2016.09. |
| 38. |
Jinho Lee, Shouta Ide, Seiichi Uchida, Object Tracking Based on CNN, 電気関係学会九州支部連合大会, 2016.09. |
| 39. |
長迫智也, 池ノ内順一, 青木佳南, 内田誠一, Bioimage Informatics for Cell Shape Analysis, 電気関係学会九州支部連合大会, 2015.09. |
| 40. |
Dipesh Dangol, Seiichi Uchida, Scene text detection and recognition using multiple image channels, 電気関係学会九州支部連合大会, 2015.09. |
| 41. |
長迫智也, 池ノ内順一, 青木佳南, 内田誠一, Bioimage Informatics for Cell Shape Analysis, 電気関係学会九州支部連合大会, 2015.09. |
| 42. |
Dipesh Dangol, Seiichi Uchida, Scene text detection and recognition using multiple image channels, 電気関係学会九州支部連合大会, 2015.09. |
| 43. |
Seiichi Uchida, Camera-based OCR and beyond, International Document Image Processing Summer School 2015, 2015.06. |
| 44. |
Seiichi Uchida, Camera-based OCR and beyond, International Document Image Processing Summer School 2015, 2015.06. |
