A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical …
E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …
learning (EL) are four outstanding approaches that enable algorithms to extract information …
A living critical interpretive synthesis to yield a framework on the production and dissemination of living evidence syntheses for decision-making
Background The COVID-19 pandemic has had an unprecedented impact in the global
research production and has also increased research waste. Living evidence syntheses …
research production and has also increased research waste. Living evidence syntheses …
Prisma-dfllm: An extension of prisma for systematic literature reviews using domain-specific finetuned large language models
T Susnjak - arXiv preprint arXiv:2306.14905, 2023 - arxiv.org
With the proliferation of open-sourced Large Language Models (LLMs) and efficient
finetuning techniques, we are on the cusp of the emergence of numerous domain-specific …
finetuning techniques, we are on the cusp of the emergence of numerous domain-specific …
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
This paper presents the results of the Data Science for Digital Health (DS4DH) group in the
MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical …
MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical …
Screening Automation in Systematic Reviews: Analysis of Tools and Their Machine Learning Capabilities
Systematic reviews provide robust evidence but require significant human labor, a challenge
that can be mitigated with digital tools. This paper focuses on machine learning (ML) support …
that can be mitigated with digital tools. This paper focuses on machine learning (ML) support …