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Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
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 …
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 …
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
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 …
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
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 …
computing, and artificial intelligence (AI) resulted in a new era of industrial automation and …
The challenges of machine learning: A critical review
The concept of learning has multiple interpretations, ranging from acquiring knowledge or
skills to constructing meaning and social development. Machine Learning (ML) is …
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
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 …
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 …
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
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
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
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 …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …