2016
DOI: 10.14201/adcaij2016517385
|View full text |Cite
|
Sign up to set email alerts
|

The Artificial Intelligence Workbench: a retrospective review

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2018
2018
2020
2020

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…By providing the most common functionalities present in typical scientific applications, such as user parameter collection, logging, multithreaded execution, experiment repeatability, workflow management, and automatic GUI generation, AIBench allows developers to focus on the specific application logic. The wide range of successfully released bioinformatics software based on AIBench demonstrates that our framework has provided an effective alternative to increase productivity while developing high-quality source code [ 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…By providing the most common functionalities present in typical scientific applications, such as user parameter collection, logging, multithreaded execution, experiment repeatability, workflow management, and automatic GUI generation, AIBench allows developers to focus on the specific application logic. The wide range of successfully released bioinformatics software based on AIBench demonstrates that our framework has provided an effective alternative to increase productivity while developing high-quality source code [ 27 ].…”
Section: Introductionmentioning
confidence: 99%