دورية أكاديمية
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI ...
| العنوان: | A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI ... |
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| المؤلفون: | Kılıç, Deniz Kenan, Vasegaard, Alex Elkjær, Desoeuvres, Aurélien, Nielsen, Peter |
| بيانات النشر: | arXiv |
| سنة النشر: | 2023 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Artificial Intelligence cs.AI, Information Retrieval cs.IR, Machine Learning cs.LG, FOS Computer and information sciences |
| الوصف: | Nowadays, literature review is a necessary task when trying to solve a given problem. However, an exhaustive literature review is very time-consuming in today's vast literature landscape. It can take weeks, even if looking only for abstracts or surveys. Moreover, choosing a method among others, and targeting searches within relevant problem and solution domains, are not easy tasks. These are especially true for young researchers or engineers starting to work in their field. Even if surveys that provide methods used to solve a specific problem already exist, an automatic way to do it for any use case is missing, especially for those who don't know the existing literature. Our proposed tool, SARBOLD-LLM, allows discovering and choosing among methods related to a given problem, providing additional information about their uses in the literature to derive decision-making insights, in only a few hours. The SARBOLD-LLM comprises three modules: (1: Scopus search) paper selection using a keyword selection scheme to ... : It was published online on 15 May 2024 in Human-Centric Intelligent Systems, Springer ... |
| نوع الوثيقة: | text article in journal/newspaper |
| اللغة: | unknown |
| العلاقة: | https://dx.doi.org/10.1007/s44230-024-00070-6Test |
| DOI: | 10.48550/arxiv.2307.04573 |
| الإتاحة: | https://doi.org/10.48550/arxiv.2307.0457310.1007/s44230-024-00070-6Test https://arxiv.org/abs/2307.04573Test |
| حقوق: | Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcodeTest ; cc-by-4.0 |
| رقم الانضمام: | edsbas.DFE40549 |
| قاعدة البيانات: | BASE |
| DOI: | 10.48550/arxiv.2307.04573 |
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