Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
Background Significant advancements in the field of information technology have influenced
the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite …
the creation of trustworthy explainable artificial intelligence (XAI) in healthcare. Despite …
Explainable artificial intelligence (xai) for internet of things: a survey
Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …
solutions more accurate and autonomous in many smart and intelligent applications in the …
A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …
Xai meets llms: A survey of the relation between explainable ai and large language models
In this survey, we address the key challenges in Large Language Models (LLM) research,
focusing on the importance of interpretability. Driven by increasing interest from AI and …
focusing on the importance of interpretability. Driven by increasing interest from AI and …
Reduce system redundancy and optimize sensor disposition for EMG–IMU multimodal fusion human–machine interfaces with XAI
Multimodal sensor fusion can improve the performance of human–machine interfaces
(HMIs). However, increased sensing modalities and sensor count often cause excess …
(HMIs). However, increased sensing modalities and sensor count often cause excess …
Prediction and classification of sEMG-based pinch force between different fingers
Y Wu, S Liang, Y Ma, B Li - Expert Systems with Applications, 2024 - Elsevier
The movement of intelligent EMG-driven prosthesis mainly relies on the synergy of different
fingers to achieve function of grasping objects. The paper proposes a novel scheme for force …
fingers to achieve function of grasping objects. The paper proposes a novel scheme for force …
A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends
S Ni, MAA Al-qaness, A Hawbani, D Al-Alimi… - Applied Soft …, 2024 - Elsevier
Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …
Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition
C Zhang, X Wang, Z Yu, B Wang, C Deng - Engineering Applications of …, 2024 - Elsevier
Currently, the fusion of surface Electromyography (EMG) and deep learning is gradually
showing immense potential in the research of Lower Limb Motion Intention Recognition …
showing immense potential in the research of Lower Limb Motion Intention Recognition …
Explainable ai for text classification: Lessons from a comprehensive evaluation of post hoc methods
This paper addresses the notable gap in evaluating eXplainable Artificial Intelligence (XAI)
methods for text classification. While existing frameworks focus on assessing XAI in areas …
methods for text classification. While existing frameworks focus on assessing XAI in areas …