E-LIB Suche - Ergebnisse für: Tokumoto A

1

DOWA Recycling Networks:

, In: The Minerals, Metals & Materials Series; TMS 2024 153rd Annual Meeting & Exhibition Supplemental Proceedings,

Miwa, K. ; Watanabe, H. ; Tokumoto, T.. - p. 1896-1901 , 2024

Link: https://doi.org/10.1007/..

2

Kidney Diseases:

, In: Internal Medicine for Dental Treatments,

Tokumoto, Masanori ; Hayashi, Koichi ; Ohashi, Hiroshige. - p. 239-250 , 2023

Link: https://doi.org/10.1007/..

3

An Experience Report on Regression-Free Repair of Deep Neur..:

, In: 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),

Nakagawa, Takao ; Tokumoto, Susumu ; Tokui, Shogo. - p. 778-782 , 2023

Link: https://doi.org/10.1109/..

4

Towards Formal Repair and Verification of Industry-scale De..:

, In: 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion),

Munakata, Satoshi ; Tokumoto, Susumu ; Yamamoto, Koji. - p. 360-364 , 2023

Link: https://doi.org/10.1109/..

5

A Software Impact Analysis Tool based on Change History Lea..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP),

Iwasaki, Haruya ; Nakajima, Tsuyoshi ; Tsukamoto, Ryota.. - p. 11-12 , 2022

Link: https://doi.org/10.1145/..

6

A software impact analysis tool based on change history lea..:

, In: Proceedings of the 44th International Conference on Software Engineering: Software Engineering in Practice,

Iwasaki, Haruya ; Nakajima, Tsuyoshi ; Tsukamoto, Ryota.. - p. 11-12 , 2022

Link: https://dl.acm.org/doi/1..

7

NeuRecover: Regression-Controlled Repair of Deep Neural Net..:

, In: 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER),

Tokui, Shogo ; Tokumoto, Susumu ; Yoshii, Akihito... - p. 1111-1121 , 2022

Link: https://doi.org/10.1109/..

8

Practical Insights of Repairing Model Problems on Image Cla..:

, In: 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN),

Yoshii, Akihito ; Tokumoto, Susumu ; Ishikawa, Fuyuki - p. 157-158 , 2022

Link: https://doi.org/10.1145/..

9

Practical insights of repairing model problems on image cla..:

, In: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI,

Yoshii, Akihito ; Tokumoto, Susumu ; Ishikawa, Fuyuki - p. 157-158 , 2022

Link: https://dl.acm.org/doi/1..

10

Attribute-based Granular Evaluation for Performance of Mach..:

, In: 2020 IEEE International Conference On Artificial Intelligence Testing (AITest),

Trenquier, Henri ; Ishikawa, Fuyuki ; Tokumoto, Susumu - p. 125-132 , 2020

Link: https://doi.org/10.1109/..

11

PHANTA : diversified test code quality measurement for m..:

, In: Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering,

Tokumoto, Susumu ; Takayama, Kuniharu - p. 1206-1207 , 2019

Link: https://dl.acm.org/doi/1..

12

Inappropriate Usage Examples in Web API Documentations:

, In: 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME),

Hosono, Masaki ; Tokumoto, Susumu ; Monpratarnchai, Supasit... - p. 343-347 , 2019

Link: https://doi.org/10.1109/..

13

Stretchable Terahertz Imagers for Wearable Bio-monitoring A..:

, In: 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz),

Tokumoto, Y. ; Li, K. ; Araki, T.... - p. 1-2 , 2019

Link: https://doi.org/10.1109/..

14

PHANTA: Diversified Test Code Quality Measurement for Moder..:

, In: 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE),

Tokumoto, Susumu ; Takayama, Kuniharu - p. 1206-1207 , 2019

Link: https://doi.org/10.1109/..

15

Multi-view Terahertz Imagers with Flexible Carbon Nanotube ..:

, In: 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz),

Li, K. ; Yuasa, R. ; Utaki, R.... - p. 1-2 , 2019

Link: https://doi.org/10.1109/..