Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection

V Vimbi, N Shaffi, M Mahmud - Brain Informatics, 2024 - Springer
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

Advancing precision medicine: a review of innovative in silico approaches for drug development, clinical pharmacology and personalized healthcare

L Marques, B Costa, M Pereira, A Silva, J Santos… - Pharmaceutics, 2024 - mdpi.com
The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …

[PDF][PDF] Machine learning software for optimizing SME social media marketing campaigns

WE Kedi, C Ejimuda, C Idemudia… - Computer Science & IT …, 2024 - researchgate.net
In today's digital era, social media has become an indispensable tool for businesses of all
sizes. For small and medium-sized enterprises (SMEs), social media marketing presents a …

[HTML][HTML] AI-based decision support systems in Industry 4.0, A review

M Soori, FKG Jough, R Dastres, B Arezoo - Journal of Economy and …, 2024 - Elsevier
The development of modern technologies such as the Internet of Things (IoT), cloud
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …

The challenges of machine learning: A critical review

E Barbierato, A Gatti - Electronics, 2024 - mdpi.com
The concept of learning has multiple interpretations, ranging from acquiring knowledge or
skills to constructing meaning and social development. Machine Learning (ML) is …

[PDF][PDF] Machine Learning in Drug Discovery: A critical review of applications and challenges

FC Udegbe, OR Ebulue, CC Ebulue… - Computer Science & IT …, 2024 - academia.edu
Udegbe, Ebulue, Ebulue, & Ekesiobi, P. 892-902 Page 893 leveraging the capabilities of
ML, the drug discovery process can be significantly accelerated, paving the way for the …

Interpretability research of deep learning: A literature survey

B Xua, G Yang - Information Fusion, 2024 - Elsevier
Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …

State-of-the-art of stress prediction from heart rate variability using artificial intelligence

Y Haque, RS Zawad, CSA Rony, H Al Banna… - Cognitive …, 2024 - Springer
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …

Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness

O Friha, MA Ferrag, B Kantarci… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction

M Mersha, K Lam, J Wood, A AlShami, J Kalita - Neurocomputing, 2024 - Elsevier
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …