Explainable artificial intelligence by genetic programming: A survey

Y Mei, Q Chen, A Lensen, B Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

Explainable AI for clinical and remote health applications: a survey on tabular and time series data

F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …

Simplification of genetic programs: a literature survey

N Javed, F Gobet, P Lane - Data Mining and Knowledge Discovery, 2022 - Springer
Genetic programming (GP), a widely used evolutionary computing technique, suffers from
bloat—the problem of excessive growth in individuals' sizes. As a result, its ability to …

A survey on the interpretability of deep learning in medical diagnosis

Q Teng, Z Liu, Y Song, K Han, Y Lu - Multimedia Systems, 2022 - Springer
Deep learning has demonstrated remarkable performance in the medical domain, with
accuracy that rivals or even exceeds that of human experts. However, it has a significant …

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking

ND Cilia, G De Gregorio, C De Stefano… - … Applications of Artificial …, 2022 - Elsevier
Neurodegenerative diseases are caused by the progressive degeneration of nerve cells that
affect motor skills and cognitive abilities with increasing severity. Unfortunately, there is no …

Computer-assisted Parkinson's disease diagnosis using fuzzy optimum-path forest and Restricted Boltzmann Machines

RWR de Souza, DS Silva, LA Passos, M Roder… - Computers in Biology …, 2021 - Elsevier
Parkinson's disease (PD) is a progressive neurodegenerative illness associated with motor
skill disorders, affecting thousands of people, mainly elderly, worldwide. Since its symptoms …

A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare

J Gupta, KR Seeja - Archives of Computational Methods in Engineering, 2024 - Springer
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …

Screening of Parkinson's disease using geometric features extracted from spiral drawings

J Chandra, S Muthupalaniappan, Z Shang, R Deng… - Brain Sciences, 2021 - mdpi.com
Conventional means of Parkinson's Disease (PD) screening rely on qualitative tests typically
administered by trained neurologists. Tablet technologies that enable data collection during …

[PDF][PDF] Evaluation of local interpretable model-agnostic explanation and shapley additive explanation for chronic heart disease detection

TA Assegie - Proc Eng Technol Innov, 2023 - core.ac.uk
This study aims to investigate the effectiveness of local interpretable model-agnostic
explanation (LIME) and Shapley additive explanation (SHAP) approaches for chronic heart …

[HTML][HTML] Explainable Machine Learning in Critical Decision Systems: Ensuring Safe Application and Correctness

J Wiggerthale, C Reich - AI, 2024 - mdpi.com
Machine learning (ML) is increasingly used to support or automate decision processes in
critical decision systems such as self driving cars or systems for medical diagnosis. These …