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Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
[HTML][HTML] A review of Explainable Artificial Intelligence in healthcare
Abstract Explainable Artificial Intelligence (XAI) encompasses the strategies and
methodologies used in constructing AI systems that enable end-users to comprehend and …
methodologies used in constructing AI systems that enable end-users to comprehend and …
Explainable artificial intelligence (XAI): concepts and challenges in healthcare
T Hulsen - AI, 2023 - mdpi.com
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making …
require human intelligence, such as visual perception, speech recognition, decision-making …
[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …
advancement has been initiated and shaped by the applications of data-driven, robust, and …
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 …
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 …
The significance of machine learning in clinical disease diagnosis: A review
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …
[HTML][HTML] Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model
According to the WHO (World Health Organization), lung cancer is the leading cause of
cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with …
cancer deaths globally. In the future, more than 2.2 million people will be diagnosed with …
Explainable artificial intelligence: A taxonomy and guidelines for its application to drug discovery
I Ponzoni, JA Páez Prosper… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
Artificial intelligence (AI) is having a growing impact in many areas related to drug discovery.
However, it is still critical for their adoption by the medicinal chemistry community to achieve …
However, it is still critical for their adoption by the medicinal chemistry community to achieve …
[PDF][PDF] Security aspects in IoT based cloud computing
Cloud computing offers a flexible framework in which data and resources are spread across
different locations and can be accessed from various industrial environments. This …
different locations and can be accessed from various industrial environments. This …