|
Automating Bad Smell Detection in Goal Refinement of Goal Models
|
|
Shinpei HAYASHI, Keisuke ASANO, Motoshi SAEKI
|
105 |
5 |
837–848 |
2022 |
8.56 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Cataloging Bad Smells in Use Case Descriptions and Automating Their Detection
|
|
Yotaro SEKI, Shinpei HAYASHI, Motoshi SAEKI
|
105 |
5 |
849–863 |
2022 |
16.17 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Deep Coalitional Q-Learning for Dynamic Coalition Formation in Edge Computing
|
|
Shiyao DING, Donghui LIN
|
105 |
5 |
864–872 |
2022 |
12.31 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Contextualized Language Generation on Visual-to-Language Storytelling
|
|
Rizal Setya PERDANA, Yoshiteru ISHIDA
|
105 |
5 |
873–886 |
2022 |
13.29 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
FOREWORD
|
|
Shohei YOKOYAMA
|
105 |
5 |
887–None |
2022 |
14.31 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Does Student-Submission Allocation Affect Peer Assessment Accuracy?
|
|
Hideaki OHASHI, Toshiyuki SHIMIZU, Masatoshi YOSHIKAWA
|
105 |
5 |
888–897 |
2022 |
13.37 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Exact Algorithm to Solve Continuous Similarity Search for Evolving Queries and Its Variant
|
|
Tomohiro YAMAZAKI, Hisashi KOGA
|
105 |
5 |
898–908 |
2022 |
20.81 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Dynamic Fault Tolerance for Multi-Node Query Processing
|
|
Yutaro BESSHO, Yuto HAYAMIZU, Kazuo GODA, Masaru KITSUREGAWA
|
105 |
5 |
909–919 |
2022 |
11.48 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
A Low-Cost High-Performance Semantic and Physical Distance Calculation Method Based on ZIP Code
|
|
Da LI, Yuanyuan WANG, Rikuya YAMAMOTO, Yukiko KAWAI, Kazutoshi SUMIYA
|
105 |
5 |
920–927 |
2022 |
9.51 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|
|
Toward Generating Robot-Robot Natural Counseling Dialogue
|
|
Tomoya HASHIGUCHI, Takehiro YAMAMOTO, Sumio FUJITA, Hiroaki OHSHIMA
|
105 |
5 |
928–935 |
2022 |
21.02 |
|
平均評価: 0.0 / 5
(0 件のレビュー)
|