Students in our lab did well in the programming contest ACM-ICPC 2021 Asia Yokohama Regional Domestic Preliminary Round, answering three questions correctly. Congratulations!
研究室の学生が大学対抗プログラミングコンテスト ACM-ICPC 2021 国内予選にて3問正解と健闘しました。おめでとう！
Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering, accepted for Mathematics (SCIE, IF=2.258)
Kyawt Kyawt San, Hironori Washizaki, Yoshiaki Fukazawa, Kiyoshi Honda, Masahiro Taga, Akira Matsuzaki, “Deep Cross-Project Software Reliability Growth Model using Project Similarity Based Clustering,” Mathematics, Special Issue on Mathematics in Software Reliability and Quality Assurance, pp. 1-23, 2021. (SCIE, IF=2.258)
Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems, accepted for iMLSE 2021
Hnin Thandar Tun, Jati H. Husen, Nobukazu Yoshioka Yoshioka, Hironori Washizaki and Yoshiaki Fukazawa, “Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems,” 3rd International Workshop on Machine Learning Systems Engineering (iMLSE 2021), December 6, 2021, Virtual – in Conjunction with APSEC 2021
Landscape of Requirements Engineering for Machine Learning-based AI Systems, accepted for iMLSE 2021
Nobukazu Yoshioka, Jati H. Husen, Hnin Thandar Tun, Zhenxiang Chen, Hironori Washizaki and Yoshiaki Fukazawa, “Landscape of Requirements Engineering for Machine Learning-based AI Systems,” 3rd International Workshop on Machine Learning Systems Engineering (iMLSE 2021), December 6, 2021, Virtual – in Conjunction with APSEC 2021
「出版記念セミナー: AI活用成熟度と機械学習デザインパターン詳説」開催
2021年11月10日「出版記念セミナー: AI活用成熟度と機械学習デザインパターン詳説」開催。200名を超える多くのご参加、ありがとうございました。 プレゼント抽選もありますのでぜひアンケートにご回答ください。資料の一部はconnpassから順序掲載しますのでぜひご利用ください。
鷲崎教授が10月28日（木）「NTTデータ テクノロジーカンファレンス 2021」にて「AI時代の新常識:機械学習デザインパターン」と題して登壇
鷲崎教授が10月28日（木）「NTTデータ テクノロジーカンファレンス 2021」にて「AI時代の新常識:機械学習デザインパターン」と題して登壇
- 鷲崎弘宜, AI時代の新常識: 機械学習デザインパターン, NTTデータ テクノロジーカンファレンス 2021, 2021年10月28日
NTTデータ 技術革新統括本部 市川様と鷲崎教授によるアジャイル開発やDXそのほかの対談
NTTデータ 技術革新統括本部 市川様と鷲崎教授によるアジャイル開発やDXそのほかの対談の様子が掲載されました。
- NTTデータ Data Insight, #4 アジャイル開発成功の秘訣 ～変化に即応する組織の作り方～, 2021.9.30
Development of a Game to Foster Programming Thinking for Learning through Reading Program, accepted for IEEE TALE 2021
Daisuke Saito, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, Shyuichi Uchiyama, Ramzi Ramzi, “Development of a Game to Foster Programming Thinking for Learning through Reading Program,” IEEE International Conference on Engineering, Technology, and Education (IEEE TALE 2021), Dec. 5-8, 2021, Wuhan, China
Bug Fixing versus Code Reading: Which is Better for Algorithm Learning? accepted for IEEE TALE 2021
Yuki Kuramochi, Kazunori Sakamoto, Hironori Washizaki, Yoshiaki Fukazawa, “Bug Fixing versus Code Reading: Which is Better for Algorithm Learning?” IEEE International Conference on Engineering, Technology, and Education (IEEE TALE 2021), Dec. 5-8, 2021, Wuhan, China
Validation of Rubric Evaluation for Programming Education, accepted for Education Sciences (ESCI, Scopus)
Daisuke Saito, Risei Yajima, Hironori Washizaki, Yoshiaki Fukazawa, “Validation of Rubric Evaluation for Programming Education,” Education Sciences, Special Issue on The Digitalized K-12 Classroom in the Age of AI, Analytics and IoT, pp. 1-18, 2021. (ESCI, Scopus)