A survey on medical explainable AI (XAI): recent progress, explainability approach, human interaction and scoring system
RK Sheu, MS Pardeshi - Sensors, 2022 - mdpi.com
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …
utmost importance. Meanwhile, incorporating explanations in the medical domain with …
A fine-tuning enhanced rag system with quantized influence measure as ai judge
K Rangan, Y Yin - Scientific Reports, 2024 - nature.com
This study presents an innovative enhancement to retrieval-augmented generation (RAG)
systems by seamlessly integrating fine-tuned large language models (LLMs) with vector …
systems by seamlessly integrating fine-tuned large language models (LLMs) with vector …
A review of different deep learning methods in processing the CT scan images of the COVID-19 patients' lungs
H Zhang - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
The Coronavirus disease started in January 2020 in Wuhan, China, and the World Health
Organization (WHO) introduced it as a public disease and an international threat. In …
Organization (WHO) introduced it as a public disease and an international threat. In …
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score
Several recent studies indicate that atypical changes in driving behaviors appear to be early
signs of mild cognitive impairment (MCI) and dementia. These studies, however, are limited …
signs of mild cognitive impairment (MCI) and dementia. These studies, however, are limited …
PCAIME: Principal Component Analysis-Enhanced Approximate Inverse Model Explanations Through Dimensional Decomposition and Expansion
T Nakanishi - IEEE Access, 2024 - ieeexplore.ieee.org
Complex “black-box” artificial intelligence (AI) models are interpreted using interpretive
machine learning and explainable AI (XAI); therefore, assessing the importance of global …
machine learning and explainable AI (XAI); therefore, assessing the importance of global …
Language semantics interpretation with an interaction-based recurrent neural network
SH Lo, Y Yin - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
Text classification is a fundamental language task in Natural Language Processing. A
variety of sequential models are capable of making good predictions, yet there is a lack of …
variety of sequential models are capable of making good predictions, yet there is a lack of …
[PDF][PDF] Investigating the Effectiveness of Interpretable Cost-Sensitive Neural Network for Pneumonia Detection Contemplating Data Imbalance
R Maliyat, F Sultana, S Sultana, SKS Joy… - 2023 - assets-eu.researchsquare.com
Pneumonia is a bacterial or viral respiratory ailment that affects a lot of people, especially in
impoverished and newly industrialized countries due to pollution, unclean living conditions …
impoverished and newly industrialized countries due to pollution, unclean living conditions …