Blood supply chain configuration and optimization under the COVID-19 using benders decomposition based heuristic algorithm
During COVID-19, blood demand exceeded pre-pandemic levels due to reduced donations,
causing shortages. Given the severe shortage, it's crucial to optimise blood use, prevent …
causing shortages. Given the severe shortage, it's crucial to optimise blood use, prevent …
Explainable artificial intelligence in education: A comprehensive review
Explainable artificial intelligence (AI) has drawn a lot of attention recently since AI systems
are being employed more often across a variety of industries, including education. Building …
are being employed more often across a variety of industries, including education. Building …
On the failings of Shapley values for explainability
Abstract Explainable Artificial Intelligence (XAI) is widely considered to be critical for building
trust into the deployment of systems that integrate the use of machine learning (ML) models …
trust into the deployment of systems that integrate the use of machine learning (ML) models …
[HTML][HTML] Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review
Background Wearable technologies have become increasingly prominent in health care.
However, intricate machine learning and deep learning algorithms often lead to the …
However, intricate machine learning and deep learning algorithms often lead to the …
Increasing Trust in AI with Explainable Artificial Intelligence (XAI): A Literature Review
Artificial Intelligence (AI) is one of the most versatile technologies ever to exist so far. Its
application spans as wide as the mind can imagine: science, art, medicine, business, law …
application spans as wide as the mind can imagine: science, art, medicine, business, law …
Challenges and opportunities in text generation explainability
The necessity for interpretability in natural language processing (NLP) has risen alongside
the growing prominence of large language models. Among the myriad tasks within NLP, text …
the growing prominence of large language models. Among the myriad tasks within NLP, text …
Dissecting crucial gene markers involved in HPV-associated oropharyngeal squamous cell carcinoma from RNA-sequencing data through explainable artificial …
Background: The incidence rate of oropharyngeal squamous cell carcinoma (OPSCC)
worldwide is alarming. In the clinical community, there is a pressing necessity to …
worldwide is alarming. In the clinical community, there is a pressing necessity to …
Human Centered Explainable AI Framework for Military Cyber Operations
C Maathuis - MILCOM 2023-2023 IEEE Military …, 2023 - ieeexplore.ieee.org
Through recent advancements, AI stands as a transformative force by resha** societal
domains and strategies. In the military cyber domain, this transformation pivots on data and …
domains and strategies. In the military cyber domain, this transformation pivots on data and …
[HTML][HTML] A model-agnostic, network theory-based framework for supporting XAI on classifiers
In recent years, the enormous development of Machine Learning, especially Deep Learning,
has led to the widespread adoption of Artificial Intelligence (AI) systems in a large variety of …
has led to the widespread adoption of Artificial Intelligence (AI) systems in a large variety of …
[PDF][PDF] The effectiveness of deep learning methods on groundnut disease detection
Early detection of plant diseases in the agricultural sector is considered an important goal to
increase productivity and minimize damage. This study deals with the use of deep learning …
increase productivity and minimize damage. This study deals with the use of deep learning …