Name
Abstract | ||
|---|---|---|
In honor of this issue’s theme of “Artificial Intelligence (AI) Engineering—Realizing the Potential of AI,” this edition of the “Practitioners’ Digest” brings you recent papers on AI and machine learning (ML) engineering, which we believe will be of interest to practitioners. These papers were published in the First International Conference on AI Engineering (CAIN 2022), the 26th International Conference on Evaluation and Assessment in Software Engineering 2022 (EASE 2022), and the 2022 IEEE/Association for Computing Machinery First International Workshop on Software Engineering for Responsible Artificial Intelligence (SE4RAI). |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/MS.2022.3196208 | IEEE Software |
DocType | Volume | Issue |
Journal | 39 | 6 |
ISSN | Citations | PageRank |
0740-7459 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Serebrenik | 1 | 1745 | 150.69 |
| Miroslaw Staron | 2 | 0 | 1.01 |
| Jordi Cabot | 3 | 1677 | 132.70 |
| Birgit Penzenstadler | 4 | 0 | 1.01 |
| Lorin Hochstein | 5 | 0 | 0.34 |
| Jeffrey C. Carver | 6 | 1229 | 94.65 |