Results 11 to 20 of about 2,660,577 (345)
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI [PDF]
Conference on Fairness, Accountability and Transparency, 2022 As research and industry moves towards large-scale models capable of numerous downstream tasks, the complexity of understanding multi-modal datasets that give nuance to models rapidly increases.
Mahima Pushkarna +2 more
semanticscholar +1 more source
Automatic Code Documentation Generation Using GPT-3 [PDF]
International Conference on Automated Software Engineering, 2022 Source code documentation is an important artifact for efficient software development. Code documentation could greatly benefit from automation since manual documentation is often labouring, resource and time-intensive.
Junaed Younus Khan, Gias Uddin
semanticscholar +1 more source
Understanding Machine Learning Practitioners' Data Documentation Perceptions, Needs, Challenges, and Desiderata [PDF]
Proc. ACM Hum. Comput. Interact., 2022 Data is central to the development and evaluation of machine learning (ML) models. However, the use of problematic or inappropriate datasets can result in harms when the resulting models are deployed.
A. Heger +4 more
semanticscholar +1 more source
Collaboration Challenges in Building ML-Enabled Systems: Communication, Documentation, Engineering, and Process [PDF]
International Conference on Software Engineering, 2021 The introduction of machine learning (ML) components in software projects has created the need for software engineers to collabo-rate with data scientists and other specialists.
Nadia Nahar +3 more
semanticscholar +1 more source
, 2023 Yade is an extensible open-source framework for discrete numerical models, focused on the Discrete Element Method. The computation parts are written in c++ using a flexible object model and allowing independent implementation of new algorithms and ...
V. Šmilauer +26 more
semanticscholar +1 more source
Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks [PDF]
ACM Trans. Comput. Hum. Interact., 2021 Computational notebooks allow data scientists to express their ideas through a combination of code and documentation. However, data scientists often pay attention only to the code, and neglect creating or updating their documentation during quick ...
A. Wang +8 more
semanticscholar +1 more source
Journal of medical systems, 2022 The reuse of healthcare data for various purposes will become increasingly important in the future. To enable the reuse of clinical data, structured and standardized documentation is conditional.
Tom Ebbers +9 more
semanticscholar +1 more source
BMC Nursing, 2022 Background The time that nurses spent on documentation can be substantial and burdensome. To date it was unknown if documentation activities are related to the workload that nurses perceive. A distinction between clinical documentation and organizational
Kim de Groot +4 more
semanticscholar +1 more source
J. Am. Medical Informatics Assoc., 2021 Background Objective Electronic health records (EHRs) are linked with documentation burden resulting in clinician burnout. While clear classifications and validated measures of burnout exist, documentation burden remains ill-defined and inconsistently ...
Amanda J. Moy +6 more
semanticscholar +1 more source
Assessing the alignment between the information needs of developers and the documentation of programming languages: A case study on Rust [PDF]
ACM Transactions on Software Engineering and Methodology (2022), 2022 Programming language documentation refers to the set of technical documents that provide application developers with a description of the high-level concepts of a language. Such documentation is essential to support application developers in the effective use of a programming language.
arxiv +1 more source